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Generated Nov 10, 2026
  1. Programmable
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growth playbook · Nov 10, 2026

manicule.com (opens in a new tab)

Manicule growth playbook

Diagnosis

Manicule is a Y Combinator Spring 2026 company with a team of 8 that went from $0 to $30K MRR in two months, raised a $1.3M seed and coined the term "AgentRel". It sells two ways (a services team and $79-$449 software), has a free docs framework (Margin) that reports agent traffic back to Manicule, and is now hiring its first enterprise seller, a designer and Reddit, LinkedIn and X marketers.

The gap is that its own site does not yet pass the tests it sells: /llms.txt returns 404, there is no pricing page, the homepage says the software tracks Claude while no plan lists it, the docs rebuild is "14 days" on one page and "23 days" on another, and the million-answer study lives only in a PDF.

This playbook fixes manicule.com first so it becomes the live demo, then builds the enterprise motion, Margin as a channel, comparison and research pages, and later a public category leaderboard and agent-experience testing as a product.

Growth Score

7/10

Biggest Opportunity

Make manicule.com the proof: a site agents read correctly, a public research hub and category leaderboard built from its own data, and Margin as a free path into the paid software.

Biggest Risk

Well-funded generalist trackers (Profound, Peec AI and a dozen others) sell to the same buyers, and a tiny team running services, software and a docs framework at once can spread itself too thin to prove any one of them.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    manicule.com returns 404 for /llms.txt: publish the agent-readable files your own AgentRel page tells customers to ship

    Write and deploy /llms.txt with the ten canonical URLs and one-line descriptions.

    High impact First result in 2 weeks
  2. 2

    Run Manicule's claim check on its own homepage: it says Claude is tracked, but no plan lists Claude

    Decide whether Claude tracking ships this quarter, and update the homepage card to match.

    High impact First result in 1 week
  3. 3

    Give pricing its own page, because /pricing returns 404 and plans are buried on /agent-visibility

    Move the plan cards to /pricing and link it in the navigation.

    High impact First result in 2 weeks

02

Your idea portfolio

23 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 7 ideas are marked Unexpected: plays you are unlikely to have tried.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 4Big bets · 11Fill-ins · 5Reconsider · 3
Effort →

Showing 23 of 23 ideas

This week 7

Quick wins with a clear first action.

  • 01

    Manicule's "What is AgentRel?" page lists publishing docs as plain HTML or markdown with an llms.txt as a core "Found" tactic, and Margin, Manicule's own docs framework, turns on llms.txt, /llms-full.txt, Markdown pages and an MCP server by default. Yet manicule.com/llms.txt and /llms-full.txt both return 404 (checked twice), there is no /pricing page, and the sitemap has dates on only one of 16 URLs. An assistant asked "what does Manicule cost and which assistants does it track?" has to piece the answer together from marketing pages, including a homepage card that says Claude is tracked and plan cards that don't list Claude. For a company whose pitch is making your product the one AI agents discover, recommend and use, manicule.com is the first thing buyers (and their agents) will check.

    High impactLow effort First result in 2 weeks Founding Engineer

    First action

    Write and deploy /llms.txt with the ten canonical URLs and one-line descriptions.

    How to measure it

    Correct answers about Manicule in its own tracker

    Now
    –
    Target
    90% of tracked prompts
    By
    60 days

    Steps

    1. 1

      Baseline

      Track 20 prompts about Manicule, AgentRel and "AI visibility for devtools" in the app; log mentions and wrong facts.

      Technical Writer & Content Strategist 1 day

    2. 2

      Ship llms.txt

      Canonical pages with one-line descriptions, served at /llms.txt.

      Founding Engineer 2 hours

    3. 3

      Add Markdown twins

      A .md version of every marketing page and /llms-full.txt, reusing Margin's export.

      Founding Engineer 2 days

    4. 4

      Write one facts block

      Plans, prices, assistants tracked now and soon, trial terms, docs rebuild time; same wording on every page.

      Founder/CEO 1 day

    5. 5

      Date the sitemap

      lastmod on every URL and the new files listed.

      Engineering Intern 2 hours

    6. 6

      Re-measure

      Rerun the 20 prompts at 30 and 60 days and compare against the noise band.

      Technical Writer & Content Strategist 2 months

    7. 7

      Publish the result

      A short "we fixed our own site" post with the before and after.

      X Content Marketer 1 week

    First result
    2 weeks
    Cost
    Two engineering days and writing time
    Owner
    Founding Engineer

    Smallest test

    Deploy /llms.txt today and rerun five Manicule prompts in two weeks.

    Why it works

    Ship /llms.txt this week, listing the canonical pages (/agentrel, /agent-visibility, /services, both case studies, /manifesto, the blog and the research) with one-line descriptions. Add /llms-full.txt and a .md version of each marketing page, reusing the Markdown export Margin already has. Add one plain "Facts" block that agents can quote: plans and prices, assistants tracked today versus "soon", trial terms, what services include, and how long a docs rebuild takes, worded the same way on every page. Then track 20 prompts about Manicule and AgentRel in Manicule's own app before and after, and publish the result against the noise band as Manicule's first case study of itself.

    It is a same-day fix that removes a credibility gap in the sales conversation, and it turns the site into a live demo: prospects can see Manicule do on its own site exactly what it sells, with before-and-after numbers from its own tool.

    Ready to use

    Checklistmanicule.com agent-readiness list

    [ ] /llms.txt with canonical pages and one-line descriptions
    [ ] /llms-full.txt
    [ ] .md version of every marketing page
    [ ] One facts block: plans, prices, assistants tracked now and soon, trial, docs rebuild time
    [ ] Same claims on homepage, /agent-visibility and /services
    [ ] lastmod on every sitemap URL
    [ ] 20 Manicule prompts tracked before and after
    [ ] Before/after published as a case study

    Risks and how to handle them

    • Assistants are slow to pick up the change

      Report movement only outside the noise band and keep the 60-day window.

    • The facts block drifts out of date as plans change

      Generate it from the same source as the plan cards.

    Evidence

    • Your websiteAgent-readable files (checked twice on November 9, 2026): manicule.com/llms.txt and manicule.com/llms-full.txt both return 404 Not Found; robots.txt allows all crawlers and points to the sitemap.Source
    • Your website"What is AgentRel?" page: "AgentRel (Agent Relations) is the work of making your product easy for AI agents to discover, recommend, and use." Its "Found" tactics include publishing docs as plain HTML or markdown with an llms.txt; "Chosen" includes getting listed on comparison pages and publishing original benchmarks; "Used" includes offering an MCP server or CLI. It has a table comparing SEO, AEO/GEO, DevRel and AgentRel and a six-question FAQ, but no author or date.Source
    • Your websiteMargin: "The open-source docs framework"; "Bring your Mintlify docs as they are."; every page as Markdown, with llms.txt and an MCP server on by default, plus /llms-full.txt and /AGENTS.md; hosted free on Manicule with agent analytics, or self-hosted under Apache 2.0; Margin has no web editor and "For writing, there's Manicule". The homepage says "Docs on Margin report to Manicule."Source
    • Your websiteSitemap (16 URLs, November 9, 2026): home, /services, /agentrel, /agent-visibility, /manifesto, two case studies (both Supermemory), /blog with one post, /careers and six legal pages; only the blog post carries a lastmod date; there is no /pricing page (it returns 404), no comparison pages and no research page, and the research PDF is not listed.Source
    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
  • 02

    The homepage software card says "Track how ChatGPT, Claude and Gemini describe your brand", but all three plan cards list ChatGPT, Gemini and AI Overviews, with "1 more assistant soon" on Pro and "3 more assistants soon" on Max. The software's own claim-checking feature exists to catch exactly this kind of gap, and the manifesto's whole pitch is honesty ("Your AI visibility tool is lying to you").

    High impactLow effort First result in 1 week Founder/CEO

    First action

    Decide whether Claude tracking ships this quarter, and update the homepage card to match.

    How to measure it

    Homepage-to-trial rate

    Now
    –
    Target
    +10%
    By
    60 days

    Steps

    1. 1

      Decide

      Which assistants are tracked today and which ship when.

      Founder/CTO 1 day

    2. 2

      Align copy

      Homepage card, plan cards, /agentrel FAQ and the blog post say the same thing.

      Founder/CEO 2 hours

    3. 3

      Add dates

      Replace "soon" with a month or a named assistant.

      Founder/CEO 1 hour

    4. 4

      Self-check

      Run the claim checker on manicule.com's own facts.

      Founding Engineer 1 day

    5. 5

      Fix flagged answers

      Correct any wrong facts assistants repeat about Manicule.

      Technical Writer & Content Strategist 1 week

    6. 6

      Repeat monthly

      Make the self-check a standing task.

      Engineering Intern monthly

    First result
    1 week
    Cost
    $0
    Owner
    Founder/CEO

    Smallest test

    Change the homepage card today and watch trial starts for two weeks.

    Why it works

    Pick one truth and use it everywhere: either name Claude on the plan cards with a date, or change the homepage to the three surfaces tracked today and say which assistants are coming. Then run the claim checker against manicule.com's own pages each month and fix anything it flags before a prospect does.

    Technical buyers check claims, and a company selling honest measurement loses trust fastest on a visible inconsistency. Fixing it also removes a likely question from every sales call.

    Risks and how to handle them

    • Prospects read "no Claude" as a gap

      Pair the change with a dated plan for the next assistant.

    Evidence

    • Your websiteHomepage (checked November 9, 2026): "Make your product the one AI agents discover. recommend. use."; a services offer ("We write, ship, and measure.") and a software card that says "Track how ChatGPT, Claude and Gemini describe your brand"; the "Used" pillar promises "We rebuild your docs in 14 days, check every snippet against your live API, then send coding agents through real tasks."; logos for Greptile, Supermemory, Rootly, PromptLayer, Skyvern, Surge, xpander.ai and Context.dev; no prices on the page.Source
    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
  • 03

    Manicule publishes clear software prices ($79, $199, $449 a month) but only inside the /agent-visibility page; manicule.com/pricing returns 404, the homepage shows no prices and the services page lists no packages. "Manicule pricing" is one of the first things a buyer, or an assistant asked to compare tools, will look for.

    High impactLow effort First result in 2 weeks Designer / Design Engineer

    First action

    Move the plan cards to /pricing and link it in the navigation.

    How to measure it

    Pricing-page trial starts

    Now
    –
    Target
    25% of all trial starts
    By
    60 days

    Steps

    1. 1

      Build the page

      Plan cards, trial, yearly billing.

      Designer / Design Engineer 2 days

    2. 2

      Add services line

      Starting price or fixed-scope offer.

      Founder/CEO 1 day

    3. 3

      Write the FAQ

      Assistants, runs per question, consulting sessions, cancellation.

      Technical Writer & Content Strategist 1 day

    4. 4

      Link it

      Top navigation, footer, llms.txt and sitemap.

      Founding Engineer 1 hour

    5. 5

      Track

      Trial starts and calls booked from the page.

      Founding Engineer 1 day

    6. 6

      Review

      Compare plan mix after 30 days.

      Founder/CEO monthly

    First result
    2 weeks
    Cost
    Design and engineering time
    Owner
    Designer / Design Engineer

    Smallest test

    Redirect /pricing to the plan section today and count visits.

    Why it works

    Create /pricing with the three software plans, the Starter trial, the yearly saving, a clear line on what services cost to start (a range or a fixed-scope offer, see idea 6), and a short FAQ: which assistants, how many runs per question, what a consulting session is. Link it in the top navigation and include it in llms.txt.

    Visible pricing qualifies self-serve buyers and gives the new enterprise seller a reference point. It also gives agents one page to quote, so they stop guessing.

    Risks and how to handle them

    • A services price scares larger buyers

      Show "from" pricing and route enterprise to a call.

    Evidence

    • Your websiteSitemap (16 URLs, November 9, 2026): home, /services, /agentrel, /agent-visibility, /manifesto, two case studies (both Supermemory), /blog with one post, /careers and six legal pages; only the blog post carries a lastmod date; there is no /pricing page (it returns 404), no comparison pages and no research page, and the research PDF is not listed.Source
    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
    • Your websiteServices page: content strategy, technical content, docs, original research and distribution across search, AI discovery, Reddit and developer communities; it cites the Supermemory docs rebuild as completed in 23 days; no prices, packages or engagement terms; the next step is to book a call.Source
  • 04

    The /agent-visibility page names twelve alternatives (Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune and more) and offers a 30-second import for Profound users, but the sitemap has no comparison pages. Manicule's best published win for a customer was ranking #1 and #2 for "mem0 vs supermemory" with a switching story, and its own AgentRel page lists comparison pages as a "Chosen" tactic.

    High impactMedium effort First result in 1 month Technical Writer & Content St…

    First action

    Draft the Manicule vs Profound page from the import flow.

    How to measure it

    Comparison-page conversions

    Now
    –
    Target
    15 a month
    By
    90 days

    Steps

    1. 1

      Pick two rivals

      Profound and Peec AI first.

      Founder/CEO 1 day

    2. 2

      Check facts

      Each rival's current plans and features from its own site.

      Technical Writer & Content Strategist 2 days

    3. 3

      Write pages

      Fair tables, import steps, when to choose them.

      Technical Writer & Content Strategist 1 week

    4. 4

      Design template

      A reusable comparison layout.

      Designer / Design Engineer 3 days

    5. 5

      Publish and list

      In the sitemap and llms.txt.

      Founding Engineer 1 day

    6. 6

      Track in the app

      Add "Manicule vs" prompts to tracking.

      Technical Writer & Content Strategist ongoing

    7. 7

      Refresh

      Quarterly, dated.

      Freelance Technical Content Writer quarterly

    First result
    1 month
    Cost
    Writing time
    Owner
    Technical Writer & Content Strategist

    Smallest test

    Publish one comparison and track it for 30 days.

    Why it works

    Start with Manicule vs Profound and Manicule vs Peec AI: a fair table (assistants tracked, runs per question, noise band, agent-experience testing, devtools focus, price), how the import works, and when the rival is the better fit. Then add a "best AI visibility tools for devtools" roundup that includes Manicule honestly. Back each with one switching customer story when you have it.

    Comparison searches are high intent, and assistants lean on comparison pages when asked to pick a tool. It is the method that already worked for Supermemory, applied to Manicule.

    Risks and how to handle them

    • Out-of-date or unfair claims

      Date every page, cite rivals' own pages and invite corrections.

    Evidence

    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
    • Your websiteSupermemory (DevRel) case study, three months: +90% traffic, 1M+ SEO impressions, 200K+ Reddit views from one benchmark campaign, and #1 and #2 on Google for "mem0 vs supermemory", built around a customer who switched; the founder says "They wrote content that organically brings us millions of impressions on SEO."Source
    • Competitor researchProfound's homepage: "The AI marketing platform to win in" ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, DeepSeek and Google AI Overviews; serves marketing teams, agencies and partners; says a third of the Fortune 100 uses it; demo-led, with no prices on the homepage.Source
  • 05

    Manicule asked 173,554 buyer questions across 200 software categories and found single answers misjudge a brand's rate by a median of 14 points. That is its strongest asset, but it lives only as a PDF linked from the footer (not in the sitemap), the Hacker News post linking it drew 2 points, and /agent-visibility shows four research questions ("How many runs before a score means anything?" and three more) with no answers under them.

    High impactMedium effort First result in 1 month Technical Writer & Content St…

    First action

    Write the four missing answers on /agent-visibility.

    How to measure it

    Research citations and links

    Now
    –
    Target
    20 referring domains
    By
    90 days

    Steps

    1. 1

      Answer the four questions

      Two or three sentences each with one number.

      Technical Writer & Content Strategist 1 day

    2. 2

      Build /research

      HTML version of the PDF with charts.

      Designer / Design Engineer 1 week

    3. 3

      Add data sample

      A CSV others can check.

      Founding Engineer 2 days

    4. 4

      List it

      Sitemap, llms.txt, footer and navigation.

      Founding Engineer 1 hour

    5. 5

      Cut posts

      One finding per post on X, LinkedIn and Reddit.

      X Content Marketer 2 weeks

    6. 6

      Relaunch

      A plain, specific Hacker News title linking the HTML page.

      Founder/CEO 1 day

    First result
    1 month
    Cost
    Design and writing time
    Owner
    Technical Writer & Content Strategist

    Smallest test

    Publish the four answers this week and track clicks to the PDF.

    Why it works

    Publish /research as HTML: the headline findings, the method, a chart per finding and a downloadable dataset sample. Write a short answer under each of the four questions on /agent-visibility, linking to the hub. Cut each finding into a standalone post for X, LinkedIn and Reddit, and relaunch on Hacker News with a plain, specific title and the HTML page.

    Original data is what assistants and journalists cite, and HTML pages are what they can read. The four questions are the same doubts buyers bring to a sales call.

    Risks and how to handle them

    • Method gets challenged

      Publish the method and data sample and answer publicly.

    Evidence

    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
    • Hacker NewsA Hacker News post linking the research PDF ("1,053,690 answers show that the current AEO landscape is...") drew 2 points and 1 comment; the comment's findings: ChatGPT changed its top recommendation 55% of the time when asked the same prompt twice, the three models agreed on the top brand in only 48% of markets, and adding buyer details changed the top pick 63-74% of the time.Source
    • Your websiteSitemap (16 URLs, November 9, 2026): home, /services, /agentrel, /agent-visibility, /manifesto, two case studies (both Supermemory), /blog with one post, /careers and six legal pages; only the blog post carries a lastmod date; there is no /pricing page (it returns 404), no comparison pages and no research page, and the research PDF is not listed.Source
  • 06

    The homepage promises "We rebuild your docs in 14 days", while the Supermemory docs case study and the services page say the rebuild took 23 days. The rebuild has a clear, measured result (+30% answer success, multiple enterprise deals) but no price or package, so every buyer must book a call to learn what it costs.

    High impactLow effort First result in 1 month Founder/CEO

    First action

    Decide the honest timeline (14 days for a standard scope, longer for two products) and update both pages.

    How to measure it

    Docs rebuild deals

    Now
    –
    Target
    4 a quarter
    By
    1 quarter

    Steps

    1. 1

      Fix the timeline

      One number on homepage, services and case study, with scope.

      Founder/CEO 1 hour

    2. 2

      Define scope

      What is in and out of a standard rebuild.

      Technical Writer & Content Strategist 2 days

    3. 3

      Set the price

      A starting price from past delivery hours.

      Founder/CEO 1 day

    4. 4

      Add the test

      Answer success measured before and after.

      Founding Engineer 3 days

    5. 5

      Publish

      On /services and /pricing.

      Designer / Design Engineer 2 days

    6. 6

      Sell it

      Lead offer in enterprise conversations.

      Enterprise Sales ongoing

    First result
    1 month
    Cost
    $0
    Owner
    Founder/CEO

    Smallest test

    Quote the fixed offer to the next three inbound leads.

    Why it works

    Package "Docs rebuild for agents": a fixed scope (audit, information architecture, endpoint docs from the OpenAPI spec, snippet tests against the live API, a coding-agent task run, Margin hosting optional), a fixed timeline that matches the case study, and a starting price. Put it on /services and /pricing with a before-and-after answer-success test included.

    A named, priced, time-boxed offer is easier to buy and to forward internally than "book a call", and one consistent timeline protects trust.

    Risks and how to handle them

    • Fixed scope underprices complex docs

      Price by number of products or API surfaces.

    Evidence

    • Your websiteHomepage (checked November 9, 2026): "Make your product the one AI agents discover. recommend. use."; a services offer ("We write, ship, and measure.") and a software card that says "Track how ChatGPT, Claude and Gemini describe your brand"; the "Used" pillar promises "We rebuild your docs in 14 days, check every snippet against your live API, then send coding agents through real tasks."; logos for Greptile, Supermemory, Rootly, PromptLayer, Skyvern, Surge, xpander.ai and Context.dev; no prices on the page.Source
    • Your websiteSupermemory (Docs) case study: "23 days from kickoff to launch"; answer success rate +30%; "Multiple" enterprise deals closed; an outside reviewer: "Supermemory has some of the best docs I've ever seen."Source
    • Your websiteServices page: content strategy, technical content, docs, original research and distribution across search, AI discovery, Reddit and developer communities; it cites the Supermemory docs rebuild as completed in 23 days; no prices, packages or engagement terms; the next step is to book a call.Source
  • 07

    Manicule coined "AgentRel" and its /agentrel page has a crisp definition, a comparison table and a six-question FAQ, but no author and no date. When assistants and writers explain a new term, they favour sources that look authoritative and current, and an undated page is easy for a later copy to outrank.

    Medium impactLow effort First result in 1 month Founder/CEO

    First action

    Add author and dates to /agentrel.

    How to measure it

    AgentRel definition attribution

    Now
    –
    Target
    70% of tracked answers
    By
    90 days

    Steps

    1. 1

      Add byline and dates

      Author, published, updated.

      Founder/CEO 1 hour

    2. 2

      Quotable box

      One-sentence definition.

      Designer / Design Engineer 2 hours

    3. 3

      Structured data

      FAQ and article markup.

      Engineering Intern 2 hours

    4. 4

      Track the term

      Five AgentRel prompts in the app.

      Technical Writer & Content Strategist 1 hour

    5. 5

      Seed it

      Founder posts and replies linking the definition.

      LinkedIn Content Marketer 2 weeks

    6. 6

      Review

      Attribution monthly.

      Technical Writer & Content Strategist monthly

    First result
    1 month
    Cost
    $0
    Owner
    Founder/CEO

    Smallest test

    Add the byline today and check five prompts in a month.

    Why it works

    Add the founder as author with a short bio, a published and updated date, a one-sentence definition in a quotable box, FAQ structured data, and a "cite this definition" line. Track "what is AgentRel" and "AgentRel vs DevRel" prompts in the app to see who assistants credit.

    The company that defines a category tends to be named whenever it is explained, and it costs an afternoon.

    Risks and how to handle them

    • The term spreads without credit

      Use it consistently in every post and talk.

    Evidence

    • Your website"What is AgentRel?" page: "AgentRel (Agent Relations) is the work of making your product easy for AI agents to discover, recommend, and use." Its "Found" tactics include publishing docs as plain HTML or markdown with an llms.txt; "Chosen" includes getting listed on comparison pages and publishing original benchmarks; "Used" includes offering an MCP server or CLI. It has a table comparing SEO, AEO/GEO, DevRel and AgentRel and a six-question FAQ, but no author or date.Source
    • HiringEnterprise Sales (San Francisco, $150K-$250K): owns enterprise deals from discovery through close and expansion, selling to founders, CTOs, engineering leaders and developer-marketing teams who may not yet have a budget or vocabulary for the category; in the first 30 days the hire joins every founder-led sales call and sets up the sales system, which does not exist yet.Source

This quarter 10

The core plays for the next three months.

  • 08

    Manicule's software already generates buyer prompts from a website, and its pitch is that single-run scores mislead (a median 14-point error). Today the only paths are a trial signup or a call, so a curious devtools founder cannot see the difference before committing.

    High impactMedium effort First result in 1 month Founding Engineer

    First action

    Cost out ten prompts with repeated runs per snapshot.

    How to measure it

    Snapshot to trial

    Now
    –
    Target
    20%
    By
    90 days

    Steps

    1. 1

      Cost the run

      Prompts, runs per prompt, answer cost per snapshot.

      Founder/CTO 1 day

    2. 2

      Build the flow

      Domain in, results page out, cached for repeat visits.

      Founding Engineer 2 weeks

    3. 3

      Design results

      Share, noise band, rivals named, three answers.

      Designer / Design Engineer 1 week

    4. 4

      Rate-limit

      Protect cost with per-visitor limits.

      Founding Engineer 2 days

    5. 5

      Hand off

      Trial carries the same prompts over.

      Engineering Intern 1 week

    6. 6

      Measure

      Snapshot, trial and paid rates.

      Founder/CEO weekly

    First result
    1 month
    Cost
    Answer costs per snapshot plus engineering time
    Owner
    Founding Engineer

    Smallest test

    Run snapshots by hand for 20 devtools founders and count trials.

    Why it works

    Add a domain box on the homepage and /agent-visibility: Manicule runs 10 generated buyer questions several times each and shows recommendation share with its noise band, the competitors named instead, and three answers to read. Results unlock fully with a free trial signup.

    Seeing your own product missing from answers is the strongest reason to start tracking, and the noise band shows Manicule's difference in the first minute.

    Risks and how to handle them

    • Answer costs from casual visitors

      Cache by domain and limit runs per visitor.

    Evidence

    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
    • Your websiteManifesto: "AEO tools ask a model a made-up question once, print a number to one decimal place, and call it your visibility."; "We ask your real buyer questions from your data dozens of times each"; "You can open any number and read the answers under it."Source
    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
  • 09

    The new Enterprise Sales hire will sell to founders, CTOs and developer-marketing teams who may not yet have a budget or vocabulary for AgentRel, and must build a sales system that does not exist yet. Manicule already has the tools to show the problem concretely: a docs check, an agent-experience test of whether Claude Code and Codex can install a product, and visibility tracking.

    High impactMedium effort First result in 1 month Enterprise Sales

    First action

    Write the audit template and run it on five target accounts.

    How to measure it

    Audits that become paid work

    Now
    –
    Target
    25%
    By
    2 quarters

    Steps

    1. 1

      Template

      Two pages: found, chosen, used, three fixes.

      Enterprise Sales 3 days

    2. 2

      Automate the runs

      Docs check, agent task and prompts in one job.

      Founding Engineer 1 week

    3. 3

      Pick accounts

      Devtools where agents choose (APIs, SDKs, infrastructure).

      Enterprise Sales 2 days

    4. 4

      Run five

      First audits by hand with the founders.

      Enterprise Sales 2 weeks

    5. 5

      Set up the CRM

      Stages from audit to close.

      Enterprise Sales 1 week

    6. 6

      Review

      Why buyers said yes or no.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Seller and engineering time
    Owner
    Enterprise Sales

    Smallest test

    Send three audits this month and count meetings.

    Why it works

    Make a standard audit the first meeting: for a target devtool, run the docs check, send a coding agent through the quickstart, and run 20 buyer questions with repeated runs. Deliver a two-page report: where agents get stuck, which rivals get named instead, and three fixes. Close into the docs rebuild or software.

    A buyer without a category budget responds to their own failure shown live, and the audit doubles as a scoping document for the first deal.

    Risks and how to handle them

    • Audits take too long to scale

      Automate the runs and keep the writing to two pages.

    Builds on

    Evidence

    • HiringEnterprise Sales (San Francisco, $150K-$250K): owns enterprise deals from discovery through close and expansion, selling to founders, CTOs, engineering leaders and developer-marketing teams who may not yet have a budget or vocabulary for the category; in the first 30 days the hire joins every founder-led sales call and sets up the sales system, which does not exist yet.Source
    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
  • 10

    Margin runs existing Mintlify docs unchanged, is free to host on Manicule, and every hosted site already reports agent traffic to a Manicule dashboard. Manicule's own blog cites Mintlify data that agents and crawlers made up 48% of docs traffic. That makes every Margin deploy a qualified devtools lead that already sees why AgentRel matters.

    High impactMedium effort First result in 1 quarter Founding Engineer

    First action

    Count hosted Margin sites and how many already have a Manicule account.

    How to measure it

    Margin-to-trial rate

    Now
    –
    Target
    15%
    By
    2 quarters

    Steps

    1. 1

      Baseline

      Hosted sites, accounts and trials today.

      Founder/CTO 1 day

    2. 2

      Citation panel

      AI answers citing the docs next to agent traffic.

      Founding Engineer 2 weeks

    3. 3

      Locked rivals panel

      Opens with a trial.

      Designer / Design Engineer 1 week

    4. 4

      Migration guide

      From Mintlify in one command.

      Technical Writer & Content Strategist 1 week

    5. 5

      Monthly email

      Each site's agent traffic.

      Engineering Intern 1 week

    6. 6

      Measure

      Deploys, trials and paid.

      Founder/CEO monthly

    First result
    1 quarter
    Cost
    Engineering time and hosting
    Owner
    Founding Engineer

    Smallest test

    Email current Margin sites their agent traffic and a trial link.

    Why it works

    Inside the Margin dashboard, show agent traffic next to the share of AI answers that cite the docs, with one locked panel: "which rivals agents recommend instead", opened by starting a Manicule trial. Add a one-command migration guide for Mintlify users and a monthly email with each site's agent traffic.

    Free hosting brings in exactly the right companies, and their own agent-traffic numbers make the upgrade case for Manicule.

    Risks and how to handle them

    • Open-source users resent upsells

      Keep self-hosting fully free and the upsell to one panel.

    Evidence

    • Your websiteMargin: "The open-source docs framework"; "Bring your Mintlify docs as they are."; every page as Markdown, with llms.txt and an MCP server on by default, plus /llms-full.txt and /AGENTS.md; hosted free on Manicule with agent analytics, or self-hosted under Apache 2.0; Margin has no web editor and "For writing, there's Manicule". The homepage says "Docs on Margin report to Manicule."Source
    • Your websiteBlog (one post, November 7, 2026): a $1.3M seed round co-led by Y Combinator and Broom Ventures; Manicule has also worked with Greptile, Rootly and PromptLayer; the money goes to the tracking software, internal agents and customer-facing technical staff; developer tools first, other software categories later. It cites Vercel (ChatGPT referred 10% of new signups) and Mintlify (agents and crawlers were 48% of docs traffic). No RSS feed or newsletter signup.Source
  • 11

    Manicule already imports Profound prompts and history in under 30 seconds, and its research says half of brand-question pairs need 18 or more runs to settle. A team that has been reporting weekly visibility changes from another tool has an obvious question Manicule can answer: which of those changes were noise?

    Medium impactMedium effort First result in 1 month Founding Engineer

    First action

    Run the noise-band report on one imported Profound history.

    How to measure it

    Import-to-paid rate

    Now
    –
    Target
    30%
    By
    1 quarter

    Steps

    1. 1

      Prototype

      Noise-band report on one imported history.

      Founding Engineer 1 week

    2. 2

      Add formats

      Other trackers' CSV exports.

      Engineering Intern 2 weeks

    3. 3

      Design report

      Real versus noise, change by change.

      Designer / Design Engineer 1 week

    4. 4

      Offer it

      On comparison pages and /agent-visibility.

      Technical Writer & Content Strategist 2 days

    5. 5

      Follow up

      Call every team that imports.

      Enterprise Sales ongoing

    6. 6

      Measure

      Imports, reports and paid.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Engineering time
    Owner
    Founding Engineer

    Smallest test

    Offer the report to five teams that use another tracker.

    Why it works

    Extend the import to Peec AI and other trackers' exports where available, and produce a free report: each reported rise or fall, marked real or within noise. Offer it on the comparison pages and in outreach to teams that mention other trackers publicly.

    It turns Manicule's main claim into the buyer's own data, and the import already removes the switching cost.

    Risks and how to handle them

    • Rivals' exports lack run-level data

      Re-run the imported prompts in Manicule to build the band.

    Builds on

    Evidence

    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
    • Competitor researchPeec AI's homepage: "AI search analytics for marketing teams"; "Trusted by 4000+ brands and agencies"; separate pricing for brands and agencies, and a free trial.Source
  • 12

    The homepage, /agent-visibility, the blog and Y Combinator's profile show around a dozen customers (Greptile, Rootly, PromptLayer, Skyvern, Mastra, AgentMail, Reducto and more), but both case studies on the site are about Supermemory. Buyers in other devtools niches cannot see a result that looks like them, and there is no case study for the software at all.

    High impactMedium effort First result in 1 quarter Technical Writer & Content St…

    First action

    Ask the three customers with the clearest results for permission.

    How to measure it

    Published case studies

    Now
    –
    Target
    5
    By
    1 quarter

    Steps

    1. 1

      Pick three

      Software, docs and content results in different niches.

      Founder/CEO 2 days

    2. 2

      Get approval

      Customer sign-off on names and numbers.

      Founder/CEO 1 week

    3. 3

      Interview

      One call per customer.

      Technical Writer & Content Strategist 1 week

    4. 4

      Write

      Problem, work, timeline, numbers, quote.

      Freelance Technical Content Writer 2 weeks

    5. 5

      Publish

      With a case-study index page.

      Designer / Design Engineer 1 week

    6. 6

      Use in sales

      Match a story to each prospect.

      Enterprise Sales ongoing

    First result
    1 quarter
    Cost
    Writing time
    Owner
    Technical Writer & Content Strategist

    Smallest test

    Publish one software case study this month.

    Why it works

    Write three: one software customer (visibility change against the noise band and what they did about it), one docs or agent-experience result for an API or infrastructure company, and one content or Reddit campaign outside AI memory. Use the same format as the Supermemory pages: problem, what was done, timeline, numbers, a quote.

    Proof that matches the buyer's niche shortens enterprise sales, and case studies with numbers are what assistants quote when asked who does AgentRel well.

    Risks and how to handle them

    • Customers will not share numbers

      Use percentages and relative changes.

    Evidence

    • Your websiteSitemap (16 URLs, November 9, 2026): home, /services, /agentrel, /agent-visibility, /manifesto, two case studies (both Supermemory), /blog with one post, /careers and six legal pages; only the blog post carries a lastmod date; there is no /pricing page (it returns 404), no comparison pages and no research page, and the research PDF is not listed.Source
    • Your websiteHomepage (checked November 9, 2026): "Make your product the one AI agents discover. recommend. use."; a services offer ("We write, ship, and measure.") and a software card that says "Track how ChatGPT, Claude and Gemini describe your brand"; the "Used" pillar promises "We rebuild your docs in 14 days, check every snippet against your live API, then send coding agents through real tasks."; logos for Greptile, Supermemory, Rootly, PromptLayer, Skyvern, Surge, xpander.ai and Context.dev; no prices on the page.Source
    • Y Combinator profileSpring 2026 batch, founded 2025, team of 8, San Francisco; customers listed include AgentMail, Greptile, Reducto and Mastra.Source
  • 13

    Only Starter shows a free trial (14 days, no card); Pro and Max go straight to purchase. The product's value appears when a team sees a rival named where it is not, or a cited page that mentions competitors but not them, and every plan includes consulting sessions that can turn that into a plan.

    Medium impactMedium effort First result in 1 month Founding Engineer

    First action

    Measure how many trials reach a cited-page finding and a consulting session today.

    How to measure it

    Trial to paid

    Now
    –
    Target
    +30%
    By
    1 quarter

    Steps

    1. 1

      Measure the path

      Signup, first finding, first call, paid.

      Founder/CTO 2 days

    2. 2

      First finding screen

      Top cited page that names rivals, with draft email.

      Designer / Design Engineer 1 week

    3. 3

      Book from the app

      Consulting session from the finding.

      Founding Engineer 3 days

    4. 4

      Trial on Pro

      Same 14 days, no card.

      Founding Engineer 2 days

    5. 5

      Lifecycle emails

      Day 3 and day 10 summaries.

      Engineering Intern 1 week

    6. 6

      Review

      Conversion by plan and path.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Engineering time and answer costs for Pro trials
    Owner
    Founding Engineer

    Smallest test

    Book a call with the next 20 trials at signup and compare.

    Why it works

    Design the first session around one finding: after prompts generate, show the top cited page that names rivals but not the customer, with the draft outreach email, and book the first consulting session from that screen. Offer the trial on Pro as well, and email day-3 and day-10 summaries of what changed.

    Trials convert when users see a specific, actionable gap early, and a booked call with the team is the best moment to sell the next plan.

    Risks and how to handle them

    • Pro trials cost more to run

      Cap trial prompts at the Starter level and unlock on payment.

    Evidence

    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
  • 14

    Manicule is hiring Reddit, LinkedIn and X content marketers to own each channel for Manicule and its customers. Its own site has one blog post and no newsletter or RSS feed, while it holds data no rival devtools writer has: repeated answers across 200 software categories.

    High impactMedium effort First result in 1 month X Content Marketer

    First action

    Pick ten devtools categories and pull this week's numbers for one.

    How to measure it

    Social-sourced trials and calls

    Now
    –
    Target
    20 a month
    By
    2 quarters

    Steps

    1. 1

      Pick categories

      Ten devtools categories buyers ask about.

      Founder/CEO 1 day

    2. 2

      Weekly pull

      One chart with a noise band.

      Engineering Intern weekly

    3. 3

      X thread

      Chart plus three takeaways.

      X Content Marketer weekly

    4. 4

      LinkedIn post

      Founder voice, one point of view.

      LinkedIn Content Marketer weekly

    5. 5

      Reddit post

      Methods first, in the relevant community.

      Reddit Content Marketer weekly

    6. 6

      Blog and signup

      Archive the series with an email signup.

      Founding Engineer 1 week

    7. 7

      Measure

      Referrals, signups and pipeline per channel.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Staff time
    Owner
    X Content Marketer

    Smallest test

    Post one category chart on all three channels this week.

    Why it works

    Each week, publish one chart from Manicule's data on a devtools question ("which vector database do assistants recommend this week, and how stable is it?"), adapted per channel: a thread on X, a founder-voice post on LinkedIn, and a methods-first post in the relevant subreddit. Collect the series on the blog with an email signup.

    Regular original data builds an audience of exactly the devtools founders and DevRel leads who buy, and gives the new marketers a repeatable format from week one.

    Risks and how to handle them

    • Named companies object to their numbers

      Publish method and invite corrections; lead with categories, not individual brands.

    Builds on

    Evidence

    • HiringContent marketers in Singapore for Reddit, LinkedIn and X, each owning the channel for Manicule and its customers; the Reddit post says "Reddit is not another channel to dump content into." and measures referrals, signups, brand mentions and pipeline; the LinkedIn role measures profile growth, qualified engagement, inbound leads and pipeline.Source
    • Your websiteBlog (one post, November 7, 2026): a $1.3M seed round co-led by Y Combinator and Broom Ventures; Manicule has also worked with Greptile, Rootly and PromptLayer; the money goes to the tracking software, internal agents and customer-facing technical staff; developer tools first, other software categories later. It cites Vercel (ChatGPT referred 10% of new signups) and Mintlify (agents and crawlers were 48% of docs traffic). No RSS feed or newsletter signup.Source
    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
  • 15

    Manicule sells services and software as separate paths ("Our team" or "Our software"), yet its services promise to attribute results to AI visibility, which is what the software measures. A services client who never logs into the software has no habit to keep when the project ends.

    Medium impactLow effort First result in 1 quarter Founder/CEO

    First action

    Add software seats for all current services clients.

    How to measure it

    Post-project software retention

    Now
    –
    Target
    60%
    By
    2 quarters

    Steps

    1. 1

      Seat current clients

      Pro seats with their prompts loaded.

      Technical Writer & Content Strategist 1 week

    2. 2

      Report through it

      Monthly results inside the app.

      Technical Writer & Content Strategist monthly

    3. 3

      Set the offer

      First-year rate after the project.

      Founder/CEO 1 day

    4. 4

      Update terms

      Services proposals include the seat.

      Enterprise Sales 2 days

    5. 5

      Ask at wrap-up

      Renewal call at project end.

      Enterprise Sales ongoing

    6. 6

      Track

      Retention by client.

      Founder/CEO monthly

    First result
    1 quarter
    Cost
    Answer costs for bundled seats
    Owner
    Founder/CEO

    Smallest test

    Seat two services clients and track logins.

    Why it works

    Include a Pro or Max seat in every services engagement, set up with the client's prompts on day one, and report all services work through it. When a project ends, offer to keep the software at a reduced rate for the first year.

    It turns one-off projects into recurring revenue and makes the services results visible in the client's own dashboard.

    Risks and how to handle them

    • Discounting the software

      Price the seat into the retainer rather than giving it away.

    Evidence

    • Your websiteHomepage (checked November 9, 2026): "Make your product the one AI agents discover. recommend. use."; a services offer ("We write, ship, and measure.") and a software card that says "Track how ChatGPT, Claude and Gemini describe your brand"; the "Used" pillar promises "We rebuild your docs in 14 days, check every snippet against your live API, then send coding agents through real tasks."; logos for Greptile, Supermemory, Rootly, PromptLayer, Skyvern, Surge, xpander.ai and Context.dev; no prices on the page.Source
    • Your websiteServices page: content strategy, technical content, docs, original research and distribution across search, AI discovery, Reddit and developer communities; it cites the Supermemory docs rebuild as completed in 23 days; no prices, packages or engagement terms; the next step is to book a call.Source
    • HiringCareers page: "We went from $0 to $30K MRR in two months."; "We're small, we hire rarely, and people stay."; the Founding Engineer's first 30 days build a context system that pulls from Slack, Linear, GitHub and docs; the Technical Writer & Content Strategist post says "This is not a job for mass-producing AI content."Source
  • 16

    Manicule's software filters alerts through a noise band and promises to link team work to changes in AI visibility; every plan includes consulting sessions. A quiet month of "no significant change" is when a $79-$449 tool gets cancelled, unless someone explains what moved and what to do next.

    Medium impactMedium effort First result in 1 month Technical Writer & Content St…

    First action

    Write the note by hand for five accounts this month.

    How to measure it

    Software churn

    Now
    –
    Target
    Under 3% a month
    By
    2 quarters

    Steps

    1. 1

      Template

      Moved, shipped, new rivals cited, one action.

      Technical Writer & Content Strategist 2 days

    2. 2

      Hand-write five

      Test with current accounts.

      Technical Writer & Content Strategist 1 week

    3. 3

      Automate the draft

      Generate from the account's data.

      Founding Engineer 2 weeks

    4. 4

      Edit and send

      A person reviews each note.

      Technical Writer & Content Strategist monthly

    5. 5

      Book sessions

      Consulting link in every note.

      Founder/CEO monthly

    6. 6

      Track

      Opens, sessions booked and churn.

      Founder/CEO monthly

    First result
    1 month
    Cost
    Staff time
    Owner
    Technical Writer & Content Strategist

    Smallest test

    Send five hand-written notes and count replies.

    Why it works

    A monthly note per account: changes outside the noise band, the pages or posts shipped that month, new cited pages that name rivals, and one recommended action, with a link to book the included consulting session. Draft it automatically and have a strategist edit it.

    Customers renew tools that tell them what to do, and the consulting sessions become a habit rather than an unused perk.

    Risks and how to handle them

    • Notes become generic

      Always include one account-specific action.

    Evidence

    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
    • Your websiteAgent visibility page: headline "Your AI visibility tool is lying to you."; Starter $79/mo (75 tracked prompts, 3 countries, "14-day free trial", "No card required"), Pro $199/mo (200 prompts, "1 more assistant soon") and Max $449/mo (600 prompts, "3 more assistants soon"); every plan lists ChatGPT, Gemini and AI Overviews and none lists Claude; only Starter shows a free trial; yearly billing "saves up to $600".Source
  • 17

    Manicule's early customers are devtools founders and CTOs (Supermemory, Greptile, Rootly, Mastra, AgentMail and others), many from the same investor and accelerator networks, and Manicule grew from $0 to $30K MRR in two months largely founder-led. Founders trust other founders' tool picks more than any ad.

    Medium impactLow effort First result in 1 month Founder/CEO

    First action

    List the five customers with the clearest wins and ask each for two introductions.

    How to measure it

    Deals from referrals

    Now
    –
    Target
    5 a quarter
    By
    1 quarter

    Steps

    1. 1

      List wins

      Customers with clear results.

      Founder/CEO 1 day

    2. 2

      Set the reward

      A free month or free audit for both sides.

      Founder/CEO 1 day

    3. 3

      Ask

      Two introductions after each win.

      Founder/CEO ongoing

    4. 4

      Referral link

      Tracked link in the app.

      Engineering Intern 1 week

    5. 5

      Follow up

      Within a day of each introduction.

      Enterprise Sales ongoing

    6. 6

      Track

      Referrals to deals.

      Enterprise Sales monthly

    First result
    1 month
    Cost
    Free months of software
    Owner
    Founder/CEO

    Smallest test

    Ask three customers this week.

    Why it works

    After each visible win (a case-study number, a ranking, a docs launch), ask the customer's founder for two introductions to peers facing the same problem. Give both sides a free month of software or a free agent-readiness audit. Track referrals by source in the new sales system.

    Referrals from respected founders close faster and need no category education, which is exactly what Manicule's buyers lack.

    Risks and how to handle them

    • Asking too early

      Only ask after a measured win.

    Evidence

    • HiringCareers page: "We went from $0 to $30K MRR in two months."; "We're small, we hire rarely, and people stay."; the Founding Engineer's first 30 days build a context system that pulls from Slack, Linear, GitHub and docs; the Technical Writer & Content Strategist post says "This is not a job for mass-producing AI content."Source
    • Y Combinator profileSpring 2026 batch, founded 2025, team of 8, San Francisco; customers listed include AgentMail, Greptile, Reducto and Mastra.Source
    • HiringEnterprise Sales (San Francisco, $150K-$250K): owns enterprise deals from discovery through close and expansion, selling to founders, CTOs, engineering leaders and developer-marketing teams who may not yet have a budget or vocabulary for the category; in the first 30 days the hire joins every founder-led sales call and sets up the sales system, which does not exist yet.Source

Big bets 4

Larger plays that can change the trajectory.

  • 18

    Manicule has already asked 173,554 buyer questions across 200 software categories, and its method (many runs, a noise band, readable answers) is its main difference from rivals. Its blog says agents now choose the stack, and a Hacker News comment on its research reported that ChatGPT changed its top pick 55% of the time on a repeat. No one publishes a stable, honest ranking of which devtools agents actually recommend.

    High impactHigh effort First result in 1 quarter Founder/CTO

    First action

    Pick the first five categories and publish one month of data.

    How to measure it

    Leaderboard-sourced trials

    Now
    –
    Target
    50 a month
    By
    2 quarters

    Steps

    1. 1

      Pick categories

      Five to start, 30 by month six.

      Founder/CEO 1 week

    2. 2

      Fix the method

      Questions, runs, noise bands, published.

      Founder/CTO 2 weeks

    3. 3

      Build pages

      Category tables with sample answers.

      Designer / Design Engineer 1 month

    4. 4

      Claim flow

      Companies claim their row and start a trial.

      Founding Engineer 2 weeks

    5. 5

      Launch

      Monthly release across X, LinkedIn and Reddit.

      X Content Marketer monthly

    6. 6

      Corrections

      A public process for disputes.

      Technical Writer & Content Strategist ongoing

    7. 7

      Measure

      Links, claims and trials.

      Founder/CEO monthly

    First result
    1 quarter
    Cost
    Answer costs for monthly runs and a month of engineering
    Owner
    Founder/CTO

    Smallest test

    Publish one category for one month and count claims.

    Why it works

    Publish /leaderboard: for 30 devtools categories (vector databases, auth, email APIs, observability and so on), the monthly share of answers naming each tool, with noise bands and sample answers. Each tool's row links to a free claim page where the company can see its prompts and start tracking.

    A trusted public ranking gets cited by press, developers and assistants themselves, and every company on it becomes a warm lead that wants to know why it ranks where it does.

    Risks and how to handle them

    • Ranked companies dispute results

      Publish method, noise bands and answers; correct openly.

    • Answer costs at scale

      Grow categories as trials justify the cost.

    Builds on

    Evidence

    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
    • Hacker NewsA Hacker News post linking the research PDF ("1,053,690 answers show that the current AEO landscape is...") drew 2 points and 1 comment; the comment's findings: ChatGPT changed its top recommendation 55% of the time when asked the same prompt twice, the three models agreed on the top brand in only 48% of markets, and adding buyer details changed the top pick 63-74% of the time.Source
    • Your websiteBlog (one post, November 7, 2026): a $1.3M seed round co-led by Y Combinator and Broom Ventures; Manicule has also worked with Greptile, Rootly and PromptLayer; the money goes to the tracking software, internal agents and customer-facing technical staff; developer tools first, other software categories later. It cites Vercel (ChatGPT referred 10% of new signups) and Mintlify (agents and crawlers were 48% of docs traffic). No RSS feed or newsletter signup.Source
  • 19

    Manicule's "Used" test (does the code the agent writes work?) is what separates AgentRel from GEO, by its own definition. The agent-experience feature, which tests whether Claude Code and Codex can install and use a product and where they get stuck, is still a beta inside the visibility plans. Devtools teams ship docs and SDK changes weekly and have no way to know when they broke the agent path.

    High impactHigh effort First result in 1 quarter Founder/CTO

    First action

    Turn one customer's agent-experience run into a scheduled job and report it weekly.

    How to measure it

    Active release checks

    Now
    –
    Target
    25 accounts
    By
    2 quarters

    Steps

    1. 1

      Define tasks

      Install, auth, first call, one real feature.

      Founder/CTO 1 week

    2. 2

      Schedule runs

      Weekly job for one customer.

      Founding Engineer 2 weeks

    3. 3

      CI integration

      Trigger on release, pass or fail.

      Founding Engineer 1 month

    4. 4

      Transcripts

      Show where the agent got stuck.

      Designer / Design Engineer 2 weeks

    5. 5

      Open-source tier

      Free for public projects.

      Founder/CEO 1 week

    6. 6

      Price the add-on

      Per project per month.

      Founder/CEO 1 week

    7. 7

      Sell to engineering

      Pitch to CTOs alongside docs work.

      Enterprise Sales ongoing

    First result
    1 quarter
    Cost
    A quarter of engineering plus agent run costs
    Owner
    Founder/CTO

    Smallest test

    Run weekly checks for three customers and see if they act on failures.

    Why it works

    Package agent-experience testing as a CI check: on every docs or SDK release, coding agents run a set of real tasks (install, authenticate, first call) and report pass or fail with transcripts. Offer it free for open-source projects and as a paid add-on, and feed failures into the docs check.

    It makes the "Used" test continuous and sticky, gives engineering teams (not only marketing) a reason to pay, and is hard for answer-only trackers to copy.

    Risks and how to handle them

    • Flaky agent runs

      Run several times and report with the same noise band approach.

    Evidence

    • Your websiteAgent visibility features: a noise band so a drop alert fires only on a fall that chance alone would rarely produce; cited pages that mention competitors but not you, with draft outreach emails; claim checking against your facts; betas for agent experience (whether Claude Code and Codex can install and use your product), competitor watch and docs check; consulting sessions on every plan; "Switching from Profound? We import your prompts and history automatically, in under 30 seconds."; the page names Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune, Bluefish, ZipTie, Rankscale, Ahrefs, Semrush and SE Visible; logos for Mastra, AgentMail, TinyFish, Skyvern and Greptile.Source
    • Your website"What is AgentRel?" page: "AgentRel (Agent Relations) is the work of making your product easy for AI agents to discover, recommend, and use." Its "Found" tactics include publishing docs as plain HTML or markdown with an llms.txt; "Chosen" includes getting listed on comparison pages and publishing original benchmarks; "Used" includes offering an MCP server or CLI. It has a table comparing SEO, AEO/GEO, DevRel and AgentRel and a six-question FAQ, but no author or date.Source
    • Competitor researchPeec AI's homepage: "AI search analytics for marketing teams"; "Trusted by 4000+ brands and agencies"; separate pricing for brands and agencies, and a free trial.Source
  • 20

    Profound sells through agencies and partners, and Peec AI has separate agency pricing and claims 4000+ brands and agencies. Manicule's services capacity is a team of 8, yet the devtools market it wants to own is large. DevRel consultants and devtools content agencies already have the clients but no way to measure agent recommendations or agent task success.

    High impactMedium effort First result in 1 quarter Founder/CEO

    First action

    Interview five devtools agencies or DevRel consultants about what they would pay for.

    How to measure it

    Partner-managed client workspaces

    Now
    –
    Target
    40
    By
    2 quarters

    Steps

    1. 1

      Interview partners

      Five agencies and consultants.

      Founder/CEO 2 weeks

    2. 2

      Multi-client workspace

      One login, many clients.

      Founding Engineer 1 month

    3. 3

      White-label report

      Partner-branded monthly report.

      Designer / Design Engineer 2 weeks

    4. 4

      Training

      An AgentRel course and certification.

      Technical Writer & Content Strategist 1 month

    5. 5

      Terms

      Partner price or revenue share.

      Enterprise Sales 2 weeks

    6. 6

      Launch with three

      First partners and a public directory.

      Founder/CEO 1 month

    First result
    1 quarter
    Cost
    Engineering time and partner margin
    Owner
    Founder/CEO

    Smallest test

    Give one consultant a multi-client account for a quarter.

    Why it works

    Launch a partner tier: multi-client workspaces, white-label monthly reports, free Margin hosting for partners' clients, an AgentRel training and certification, and a revenue share or partner price. Manicule's own team stays focused on flagship accounts and the method.

    Partners multiply reach without hiring, and they carry Manicule's method and vocabulary into many more devtools companies.

    Risks and how to handle them

    • Partners deliver poor work under the AgentRel name

      Certification and review of the first projects.

    • Channel conflict with Manicule's own services

      Split by deal size or niche.

    Builds on

    Evidence

    • Competitor researchProfound's homepage: "The AI marketing platform to win in" ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, DeepSeek and Google AI Overviews; serves marketing teams, agencies and partners; says a third of the Fortune 100 uses it; demo-led, with no prices on the homepage.Source
    • Competitor researchPeec AI's homepage: "AI search analytics for marketing teams"; "Trusted by 4000+ brands and agencies"; separate pricing for brands and agencies, and a free trial.Source
    • Y Combinator profileSpring 2026 batch, founded 2025, team of 8, San Francisco; customers listed include AgentMail, Greptile, Reducto and Mastra.Source
  • 21

    Manicule says developer tools come first and other software categories later, and its research already covers 200 software categories. The generalist trackers (Profound, Peec AI) sell to marketing teams in every category, so Manicule's method needs a second beachhead before rivals define AI visibility there.

    High impactHigh effort First result in 1 quarter Founder/CEO

    First action

    Rank the 200 researched categories by instability and buyer fit.

    How to measure it

    Pilot-category customers

    Now
    –
    Target
    5
    By
    2 quarters

    Steps

    1. 1

      Rank categories

      Instability, buyer fit, deal size.

      Founder/CTO 1 week

    2. 2

      Pick one

      Decision with clear exit criteria.

      Founder/CEO 1 day

    3. 3

      Publish data

      Category leaderboard page.

      Technical Writer & Content Strategist 1 month

    4. 4

      Outreach

      Snapshots to 50 companies in the category.

      Enterprise Sales 1 month

    5. 5

      Design partners

      Three accounts at a pilot price.

      Enterprise Sales 1 quarter

    6. 6

      Decide

      Scale, adjust or stop.

      Founder/CEO 2 quarters

    First result
    1 quarter
    Cost
    Sales time and answer costs
    Owner
    Founder/CEO

    Smallest test

    Send snapshots to 20 companies in one category and count replies.

    Why it works

    From the research data, pick the category where assistants' recommendations are least stable and buyers most technical (for example, data infrastructure or security software), run the leaderboard and a snapshot campaign for it, and sign three design partners on software plus a scoped services package.

    It tests expansion with data Manicule already holds, and a second category with paying customers makes the company a platform rather than a devtools niche.

    Risks and how to handle them

    • Distraction from the devtools core

      Cap the pilot at one category and two quarters.

    Builds on

    Evidence

    • Your websiteBlog (one post, November 7, 2026): a $1.3M seed round co-led by Y Combinator and Broom Ventures; Manicule has also worked with Greptile, Rootly and PromptLayer; the money goes to the tracking software, internal agents and customer-facing technical staff; developer tools first, other software categories later. It cites Vercel (ChatGPT referred 10% of new signups) and Mintlify (agents and crawlers were 48% of docs traffic). No RSS feed or newsletter signup.Source
    • Your websiteResearch section "What we learned from a million AI answers": "We asked 173,554 buyer questions across 200 software categories on Claude, ChatGPT and Gemini." One answer misjudged a brand's rate by a median of 14 points, thirteen answers cut that to 7, and half of brand-question pairs needed 18 or more runs to settle. Four question headings ("How many runs before a score means anything?", "Does it matter who's asking?", "What happens when assistants disagree?", "Should questions that name you count?") have no answer text under them. The full study is only a PDF linked from the footer.Source
    • Competitor researchPeec AI's homepage: "AI search analytics for marketing teams"; "Trusted by 4000+ brands and agencies"; separate pricing for brands and agencies, and a free trial.Source

Wildcards 2

Unexpected experiments, each with a cheap way to test it.

  • 22

    Manicule's "Used" promise is to "send coding agents through real tasks", and it is hiring X, LinkedIn and Reddit marketers to make technical founders interesting. Watching an agent succeed or get stuck on a real product's quickstart is vivid, teachable content that shows the method better than any landing page.

    Medium impactLow effort First result in 1 month Founder/CEO

    First action

    Invite three customers or friendly founders to the first session.

    How to measure it

    Teardown-to-deal rate

    Now
    –
    Target
    20%
    By
    1 quarter

    Steps

    1. 1

      Format

      45 minutes: one task, one agent, three fixes.

      Founder/CEO 1 day

    2. 2

      Invite

      Opt-in signups only.

      LinkedIn Content Marketer 1 week

    3. 3

      Prepare runs

      Dry-run the task beforehand.

      Founding Engineer 1 day

    4. 4

      Go live

      Narrate what the agent reads and where it stalls.

      Founder/CTO fortnightly

    5. 5

      Clip it

      Short clips for X, LinkedIn and Reddit.

      X Content Marketer fortnightly

    6. 6

      Follow up

      Fix plan and offer to each participant.

      Enterprise Sales 1 week

    First result
    1 month
    Cost
    Staff time
    Owner
    Founder/CEO

    Smallest test

    Record one teardown with a customer and post the clip.

    Why it works

    A fortnightly live session (X, LinkedIn or YouTube Live): founders opt in, a coding agent attempts their quickstart, and the Manicule team narrates what the agent read, where it got stuck and what to fix. Cut clips for each channel and offer participants a free fix plan.

    Opt-in teardowns create content, social proof and qualified leads at once, and every participant becomes a candidate for the docs rebuild.

    Risks and how to handle them

    • A participant feels embarrassed

      Opt-in only, with a preview and a constructive tone.

    Evidence

    • Your websiteHomepage (checked November 9, 2026): "Make your product the one AI agents discover. recommend. use."; a services offer ("We write, ship, and measure.") and a software card that says "Track how ChatGPT, Claude and Gemini describe your brand"; the "Used" pillar promises "We rebuild your docs in 14 days, check every snippet against your live API, then send coding agents through real tasks."; logos for Greptile, Supermemory, Rootly, PromptLayer, Skyvern, Surge, xpander.ai and Context.dev; no prices on the page.Source
    • HiringContent marketers in Singapore for Reddit, LinkedIn and X, each owning the channel for Manicule and its customers; the Reddit post says "Reddit is not another channel to dump content into." and measures referrals, signups, brand mentions and pipeline; the LinkedIn role measures profile growth, qualified engagement, inbound leads and pipeline.Source
  • 23

    manicule.com is fast for real visitors: it passes Core Web Vitals (LCP 2.1 s, INP 95 ms, CLS 0) and scores 94 on mobile. The lab run still flags about 0.65 s of render-blocking requests and 154 KB of unused JavaScript out of 563 KB on a 761 KB page, mostly framework code for a largely static marketing site.

    Low impactLow effort First result in 1 month Designer / Design Engineer

    First action

    Fold the render-blocking fixes into the designer's first website task.

    How to measure it

    Field LCP

    Now
    –
    Target
    Under 1.8 s
    By
    60 days

    Steps

    1. 1

      Audit

      Which requests block rendering.

      Designer / Design Engineer 2 hours

    2. 2

      Inline critical CSS

      Above-the-fold styles only.

      Designer / Design Engineer 1 day

    3. 3

      Defer scripts

      Load non-critical JavaScript later.

      Engineering Intern 1 day

    4. 4

      Static pages

      Pre-render marketing routes.

      Engineering Intern 2 days

    5. 5

      Retest

      PageSpeed and field data.

      Designer / Design Engineer 1 hour

    6. 6

      Monitor

      Monthly field check.

      Engineering Intern monthly

    First result
    1 month
    Cost
    A few days of engineering
    Owner
    Designer / Design Engineer

    Smallest test

    Defer one script and rerun PageSpeed.

    Why it works

    While the new designer rebuilds pages, inline critical CSS, defer non-critical scripts and render the marketing pages statically, so the largest text block paints sooner on slow mobile connections. Keep it to one sprint; this is polish, not a problem.

    A site selling technical quality to engineers should feel instant, and the fix is cheapest during a redesign.

    Risks and how to handle them

    • Breaking interactive elements

      Test the trial and booking buttons after each change.

    Evidence

    • Google PageSpeedMobile score 94 (desktop 92); real visitors pass Core Web Vitals (LCP 2.1 s, INP 95 ms, CLS 0 at the 75th percentile); the lab run flags about 0.65 s of render-blocking requests and 154 KB of unused JavaScript, out of 563 KB of JavaScript on a 761 KB page.Source
    • HiringNine open roles on Y Combinator's job board: Founding Engineer, Engineering Intern, Enterprise Sales, Designer / Design Engineer (owns product and web design, including the website, landing pages and product launches), Technical Writer & Content Strategist, Freelance Technical Content Writer, and Reddit, LinkedIn and X Content Marketers.Source
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Independent research. Programmable wrote this playbook from public sources, as they stood on November 10, 2026, and cites them throughout. Manicule did not commission, review or endorse it, and Programmable is not affiliated with Manicule. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how Manicule runs its business.

Something wrong, or do you represent Manicule? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 308 ideas

    Make manicule.com pass its own tests: llms.txt and Markdown, one consistent set of facts, a pricing page, comparison pages, an HTML research hub, a priced docs rebuild and an authored AgentRel definition; trim render-blocking requests.

  2. Days 31 to 6011 ideas

    Build the funnel the new hires will run: instant snapshot, enterprise audits, Margin upgrades, noise-band rescoring of rival exports, more case studies, trials on Pro, Manicule's own channels, the services bundle, monthly change reports, referrals and opt-in live teardowns.

  3. Days 61 to 904 ideas

    Commit to the big bets: a public AgentRel leaderboard, agent-experience testing as a product, a partner program for devtools agencies and one pilot outside devtools.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value content that brings "millions of impressions on SEO" without the founder writing it. The most cited problem: agents now choose the stack, and a product left out of what agents read is left out of the answer.

  • Docs good enough that outsiders call them "some of the best docs I've ever seen"
  • Single-run AI visibility scores that move with noise
  • In their words: “agents are choosing the stack”

Market

Competitive landscape

5 competitors compared: Profound, Peec AI, Scrunch, Otterly.AI, AthenaHQ, Evertune and others, Ahrefs and Semrush and 1 more.

  • Gap to exploit: Testing whether coding agents can actually install and use a product
  • Profound: Generalist, not built for devtools or coding agents
  • Peec AI: Measures answers, not whether an agent's code works

Hiring signals

Manicule is turning a founder-led start ($0 to $30K MRR in two months) into a company with nine open roles.

  • Enterprise Sales: First seller; build the sales system for a new category. Ideas 6, 9, 17.
  • Reddit Content Marketer: Reddit for Manicule and its customers, measured on signups and pipeline. Idea 14.
  • LinkedIn Content Marketer: Founder-voice LinkedIn, measured on inbound and pipeline. Ideas 7, 14, 22.

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