ProgrammableMarketing/glean.com (opens in a new tab)
PDF

Views

  • Plan
  • Roadmap
  • Research

On this page

  • The brief
  • Start here
  • Idea portfolio
  • Effort vs impact
  • This week · 6
  • This quarter · 9
  • Big bets · 3
  • Wildcards · 4
  • How we can help
Generated Oct 22, 2026
  1. Programmable
  2. Playbooks
  3. Glean
Glean logo

growth playbook · Oct 22, 2026

glean.com (opens in a new tab)

Glean growth playbook

Diagnosis

Glean passed $300 million ARR in May 2026 and is hiring a VP of Growth Marketing, three principal product marketers (Intelligence, Enterprise Context, Agents), a competitive intelligence PMM, a Tokyo content marketer, field marketers for strategic accounts and a growth data scientist.

The site has a lot of strong content, but its newest launches are hidden: every monthly product drop since April 2026 is set to noindex and missing from the sitemap, the page written for AI assistants still quotes $200M ARR and 100+ connectors, and the compare hub leaves out Google, Atlassian and ServiceNow.

This playbook fixes launch visibility and facts first, then builds comparisons, Japanese proof, cost tools, agent pages and adoption loops.

Growth Score

7/10

Biggest Opportunity

Make every monthly launch findable and repeatable across search, AI assistants, sales, partners and customers' champions.

Biggest Risk

Suite vendors (Microsoft, Google, Atlassian, ServiceNow) bundle work AI into tools customers already pay for, so Glean must win the comparison clearly and keep proof current.

01

Start here

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

  1. 1

    Let search engines see the product drops again: five monthly launch pages are set to noindex

    Remove noindex from the October 2026 page today.

    High impact First result in 2 weeks
  2. 2

    Update the page Glean wrote for AI assistants: it still says 100+ connectors and $200M ARR

    Change the two figures today.

    High impact First result in 1 month
  3. 3

    Add the missing head-to-heads: Google's Gemini work agent, Atlassian Rovo and ServiceNow

    Pick the rival most often met in lost deals.

    High impact First result in 1 month

02

Your idea portfolio

22 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.

  • 6 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 · 3Big bets · 11Fill-ins · 6Reconsider · 2
Effort →

Showing 22 of 22 ideas

This week 6

Quick wins with a clear first action.

  • 01

    Glean ships a Product Drop every month and promotes the October one in the homepage banner, but the April, May, June, July and October 2026 pages all tell search engines not to index them, and none is in the sitemap; March 2026 and earlier are indexable. Blog posts about drops stop after May. So since spring, when someone searches for what Glean launched (team chat, Skills, MCP apps), or an AI assistant looks it up, there is no indexable page from Glean. The October page itself has one feature line and four quotes. The new Glean Intelligence product marketer is hired to build "repeatable launch processes": this is the first one to fix.

    High impactLow effort First result in 2 weeks Principal Product Marketing M…

    First action

    Remove noindex from the October 2026 page today.

    How to measure it

    Organic visits to drop pages

    Now
    –
    Target
    10,000 a month
    By
    90 days

    Steps

    1. 1

      Check intent

      Confirm the noindex is not deliberate (for example, a template default).

      Web Marketing Manager 1 day

    2. 2

      Remove noindex

      April, May, June, July and October 2026.

      Web Marketing Manager 1 hour

    3. 3

      Add to sitemap

      All drops, in English, Japanese and French.

      Web Marketing Manager 1 day

    4. 4

      Write summaries

      Every feature with a link to docs or a post.

      Principal Product Marketing Manager, Glean Intelligence 1 week

    5. 5

      Fix titles

      "Glean Product Drop, April 2026: ..." with the lead features.

      Principal Product Marketing Manager, Glean Intelligence 1 day

    6. 6

      Add an index

      A "What's new" page linking all drops.

      Web Marketing Manager 3 days

    7. 7

      Update the checklist

      Indexable page and blog post per launch.

      Principal Product Marketing Manager, Glean Intelligence 1 day

    8. 8

      Measure

      Impressions, visits and demo starts from drops.

      Senior Data Scientist, Growth monthly

    First result
    2 weeks
    Cost
    $0
    Owner
    Principal Product Marketing Manager, Glean Intelligence

    Smallest test

    Make the October 2026 page indexable and watch Search Console for two weeks.

    Why it works

    Remove noindex from the 2026 drop pages, add them to the sitemap (with the Japanese and French versions), and give each a real title and a summary of every feature with a link to its docs or blog post. Make "one indexable page and one blog post per launch" part of the launch checklist, and add a "What's new" index linking all drops.

    Launch pages are what buyers, analysts and AI assistants find when they check whether a vendor is moving fast; the work is already done, it just cannot be found.

    Ready to use

    ChecklistLaunch page checklist

    [ ] No noindex on the launch page
    [ ] Page in the sitemap (EN, JP, FR)
    [ ] Title names the month and lead features
    [ ] One paragraph per feature, linked to docs
    [ ] One blog post per major feature
    [ ] Linked from the "What's new" index
    [ ] Shared with sales and partners the same day

    Risks and how to handle them

    • Pages were hidden on purpose

      If so, publish an indexable summary page instead.

    • Thin pages rank poorly

      Write a full summary for each month.

    Evidence

    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
    • Your websiteSitemap (4,653 URLs: 1,866 English, 1,734 French, 1,055 Japanese): product drop pages are listed only from August 2025 to March 2026, and the Japanese and French drops stop at March 2026. Blog posts accompany drops up to May 2026 ("skills-may-drop-2026"), with none for June, July or October.Source
    • HiringPrincipal Product Marketing Manager, Glean Intelligence (posted September 1, 2026): will "Lead end-to-end launches for new models and platform capabilities ... while establishing repeatable launch processes", and "Bring Model Hub to market by clarifying model choice, performance, cost, latency, and use-case fit".Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
  • 02

    Glean's robots.txt opens /llm-info to GPTBot, ClaudeBot and PerplexityBot, so it is the page meant to shape how AI assistants describe Glean. It still says "100+ connectors" and "more than $200M ARR as of late 2025", while Glean announced $300M ARR in May and its site says 250+ or 275+ connectors. The homepage even invites visitors to ask ChatGPT, Claude or Perplexity for a summary.

    High impactLow effort First result in 1 month Director

    First action

    Change the two figures today.

    How to measure it

    Assistant answers with current facts

    Now
    –
    Target
    9 of 10 test prompts
    By
    60 days

    Steps

    1. 1

      Baseline

      Ten prompts in three assistants.

      Director, Digital Marketing 1 day

    2. 2

      Update facts

      ARR, connectors, products.

      Director, Digital Marketing 2 hours

    3. 3

      Add llms.txt

      Pointing to key pages.

      Web Marketing Manager 2 hours

    4. 4

      Date the page

      Last-updated line.

      Web Marketing Manager 1 hour

    5. 5

      Set a review

      Monthly with each drop.

      Director, Digital Marketing monthly

    6. 6

      Retest

      Same prompts.

      Director, Digital Marketing monthly

    First result
    1 month
    Cost
    $0
    Owner
    Director, Digital Marketing

    Smallest test

    Fix /llm-info today.

    Why it works

    Refresh /llm-info with current figures (ARR, connectors, products, rivals compared), date it, and add a monthly review owned by digital. Publish an /llms.txt pointing to it and to the compare and product drop pages. Test what the three assistants say before and after.

    AI assistants are now part of every enterprise software evaluation, and stale numbers from a vendor's own page get repeated as fact.

    Risks and how to handle them

    • Assistants update slowly

      Keep facts consistent across all pages too.

    Evidence

    • Your website/llm-info, the page robots.txt opens to GPTBot, ClaudeBot and PerplexityBot (and blocks for search engines), says "The platform supports 100+ connectors" and "more than $200M ARR as of late 2025". The homepage also has an "Ask AI for a summary about Glean" block with links to ChatGPT, Claude and Perplexity. /llms.txt returns 404.Source
    • News coverageGlean press, May 28, 2026: "Glean Surpasses $300M ARR", after tripling revenue in 15 months; the $150 million Series F in 2025 valued Glean at $7.2 billion.Source
    • Your websiteConnector counts disagree across Glean's own pages: the navigation says "more than 250 connectors", the compare hub "275+ tools", and every job post's company description "over 100 enterprise SaaS connectors".Source
  • 03

    The new competitive intelligence PMM will own "the upkeep of our market landscape". The /compare hub covers Copilot, ChatGPT Enterprise and Claude Enterprise, but not Google's Gemini work agent, Atlassian Rovo (which Glean lists only as a connector) or ServiceNow, which buyers meet in suites they already own.

    High impactLow effort First result in 1 month Product Marketing Manager Com…

    First action

    Pick the rival most often met in lost deals.

    How to measure it

    Comparison-page demo requests

    Now
    –
    Target
    +40%
    By
    90 days

    Steps

    1. 1

      Win/loss review

      Which suites appear in deals.

      Product Marketing Manager - Competitive Intelligence 1 week

    2. 2

      Write pages

      Three fair comparisons.

      Product Marketing Manager - Competitive Intelligence 2 weeks

    3. 3

      Legal review

      Claims and trademarks.

      Legal 1 week

    4. 4

      Publish

      On /compare.

      Web Marketing Manager 1 day

    5. 5

      Translate

      Japanese and French.

      Content Marketing Manager, Tokyo 2 weeks

    6. 6

      Refresh

      Each quarter.

      Product Marketing Manager - Competitive Intelligence quarterly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Product Marketing Manager Competitive Intelligence

    Smallest test

    Publish the Rovo page first.

    Why it works

    Write three fair comparison pages from the competitor comparisons: context and connectors, permissions, model choice, agents, deployment, cost and time to value, with a "use both" section where Glean connects to the rival. Translate them for the Japanese and French sites.

    Buyers with Google Workspace, Atlassian or ServiceNow are told their suite already does this; a clear page answers that before the first call.

    Risks and how to handle them

    • Partners are also rivals

      Lead with "works with" where Glean connects.

    Evidence

    • HiringProduct Marketing Manager - Competitive Intelligence (Bangalore, posted September 17, 2026): "owning the upkeep of our market landscape and competitive positioning", "win/loss analysis", "competitor comparisons, deal support materials" and "timely competitive insights" for the field.Source
    • Your websiteThe /compare hub has three head-to-head pages: Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise. There is no page against Google's Gemini work agent, Atlassian Rovo or ServiceNow; Glean instead has a connector page, "Atlassian Rovo integration with Glean". The hub claims "275+ tools", "110 hours per user/year" saved, "Glean adoption reached 93% in just 2 years", and that companies "recover their Glean investment in under 6 months".Source
    • Competitor researchRivals' own pages: Google sells "Gemini for Business: The Universal Work Agent"; Atlassian's Rovo "helps teams take action on organization knowledge using Rovo Search, Rovo Chat and specialized Rovo Agents"; Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise are the rivals Glean already compares itself with.Source
  • 04

    Glean's navigation says "more than 250 connectors", the compare hub "275+ tools", and every job post "over 100 enterprise SaaS connectors". Connector breadth is a core claim for the Enterprise Context story.

    Medium impactLow effort First result in 1 week Principal Product Marketing M…

    First action

    Agree the current connector count.

    How to measure it

    Pages updated

    Now
    –
    Target
    100%
    By
    30 days

    Steps

    1. 1

      Agree the number

      With product.

      Principal Product Marketing Manager, Enterprise Context 1 day

    2. 2

      Update site

      Navigation, compare, llm-info.

      Web Marketing Manager 1 day

    3. 3

      Update jobs

      Company description template.

      Recruiting Operations 1 hour

    4. 4

      Update decks

      Sales and partner kits.

      Principal Product Marketing Manager, Enterprise Context 1 week

    5. 5

      Facts file

      Shared source of figures.

      Principal Product Marketing Manager, Enterprise Context 2 days

    6. 6

      Review

      Each launch.

      Principal Product Marketing Manager, Enterprise Context monthly

    First result
    1 week
    Cost
    $0
    Owner
    Principal Product Marketing Manager, Enterprise Context

    Smallest test

    Fix the job template and /llm-info today.

    Why it works

    Pick one current figure, update the navigation, compare hub, /llm-info, job description template, decks and partner kits, and add it to a shared "facts" file that each launch updates.

    Inconsistent numbers make buyers and analysts doubt the claim, and AI assistants pick whichever they read first.

    Risks and how to handle them

    • Numbers change often

      Use "250+" style floors.

    Evidence

    • Your websiteConnector counts disagree across Glean's own pages: the navigation says "more than 250 connectors", the compare hub "275+ tools", and every job post's company description "over 100 enterprise SaaS connectors".Source
    • HiringPrincipal Product Marketing Manager, Enterprise Context (posted September 21, 2026): owns go-to-market for "new connectors, search quality, Enterprise Graph, structured data, memory", turning architecture into "differentiated positioning" and "technical collateral", to "establish Glean as a technical leader in the next generation of enterprise AI".Source
    • Your website/llm-info, the page robots.txt opens to GPTBot, ClaudeBot and PerplexityBot (and blocks for search engines), says "The platform supports 100+ connectors" and "more than $200M ARR as of late 2025". The homepage also has an "Ask AI for a summary about Glean" block with links to ChatGPT, Claude and Perplexity. /llms.txt returns 404.Source
  • 05

    SDRs are prospecting new large enterprise accounts, and Glean ships something new every month. A specific launch tied to the prospect's department beats a generic opener.

    Medium impactLow effort First result in 1 month Sales Development Representat…

    First action

    Write openers for the October drop.

    How to measure it

    Reply rate on drop sequences

    Now
    –
    Target
    +20%
    By
    60 days

    Steps

    1. 1

      Write openers

      Three per department.

      Principal Product Marketing Manager, Glean Agents 2 days

    2. 2

      Load sequences

      In the sales engagement tool.

      Sales Operations 1 day

    3. 3

      Train

      Fifteen-minute brief.

      Sales Enablement Manager 1 day

    4. 4

      Send

      Monthly.

      Sales Development Representative monthly

    5. 5

      Measure

      Replies and meetings.

      Senior Data Scientist, Growth monthly

    6. 6

      Improve

      Keep the best openers.

      Principal Product Marketing Manager, Glean Agents monthly

    First result
    1 month
    Cost
    Staff time only
    Owner
    Sales Development Representative

    Smallest test

    Run one October sequence.

    Why it works

    Each month, write three short SDR openers per department from the drop (for example team chat for sales, engineering agents for engineering), linked to the now-indexable drop page, and track reply rates.

    Timely, specific news earns replies, and it keeps the field current on the product.

    Risks and how to handle them

    • Feature-led messages miss value

      Lead with the outcome.

    Evidence

    • HiringAlso open: a Sales Development Representative in Nashville (posted October 5, 2026) prospecting "new large enterprise and strategic accounts", a Partner Sales Manager, EMEA (Amsterdam or London, October 9) and a Partner Solutions Engineer (San Francisco, September 4).Source
    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
  • 06

    Glean has an "AI Stack Score" quiz for engineering teams and solution pages for nine departments. A short scored quiz is a natural first step for buyers who are not ready for a demo.

    High impactMedium effort First result in 1 quarter Director

    First action

    Pull completion and demo rates for the engineering quiz.

    How to measure it

    Quiz-to-meeting rate

    Now
    –
    Target
    8%
    By
    1 quarter

    Steps

    1. 1

      Baseline

      Engineering quiz results.

      Senior Data Scientist, Growth 1 week

    2. 2

      Write questions

      Four departments.

      Principal Product Marketing Manager, Glean Agents 2 weeks

    3. 3

      Build

      Reuse the engineering template.

      Web Marketing Manager 2 weeks

    4. 4

      Route

      Answers to SDRs.

      Marketing Operations Manager 1 week

    5. 5

      Promote

      Paid and social.

      Director, Digital Marketing ongoing

    6. 6

      Measure

      Meetings and pipeline.

      Senior Data Scientist, Growth monthly

    First result
    1 quarter
    Cost
    Staff and media time
    Owner
    Director, Digital Marketing

    Smallest test

    Launch the IT version.

    Why it works

    Build versions for IT, support, sales and HR with benchmarks, a shareable result and a "compare with peers" call to action that books a short review. Feed answers to SDRs and the growth data science team.

    Personal scores convert better than gated reports and tell sales which problem to open with.

    Risks and how to handle them

    • Low-intent completions

      Score by company size before routing.

    Evidence

    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringVP, Growth Marketing (Mountain View, posted August 3, 2026): leads "Demand Generation, Digital, Field Marketing, and Partner Marketing" with "accountability for pipeline, revenue, and ARR growth", to build "a predictable, AI-first demand engine that fuels new-logo growth and expansion" across "Enterprise, Commercial, and Global markets".Source
    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source

This quarter 9

The core plays for the next three months.

  • 07

    The new Tokyo content marketer is asked to develop "Japanese customer references". The Japanese site translates the same 32 stories as the English one, and none is a Japanese company.

    High impactMedium effort First result in 2 quarters Content Marketing Manager

    First action

    List Japanese customers willing to be named.

    How to measure it

    Japan pipeline

    Now
    –
    Target
    +30%
    By
    3 quarters

    Steps

    1. 1

      Find customers

      With sales and success.

      Content Marketing Manager, Tokyo 1 month

    2. 2

      Interview

      Local metrics.

      Content Marketing Manager, Tokyo 1 month

    3. 3

      Write

      Japanese first.

      Content Marketing Manager, Tokyo 1 month

    4. 4

      Approve

      Customer and legal.

      Content Marketing Manager, Tokyo 1 month

    5. 5

      Publish

      Homepage and decks.

      Content Marketing Manager, Tokyo 1 week

    6. 6

      Measure

      Pipeline influence.

      Senior Data Scientist, Growth monthly

    First result
    2 quarters
    Cost
    Writing costs
    Owner
    Content Marketing Manager, Tokyo

    Smallest test

    Publish one story.

    Why it works

    Find three Japanese customers, write their stories in Japanese first (with local metrics and quotes), and put them on the Japanese homepage and in sales decks. Then add a Japanese drop page each month.

    Japanese enterprise buyers rely heavily on local references; translation alone does not provide them.

    Risks and how to handle them

    • Slow approvals

      Start with anonymized stories.

    Evidence

    • HiringContent Marketing Manager, Tokyo (posted August 14, 2026): will "build our Japanese content marketing engine", "Improve priority Japanese website pages and lead localization", "Build practical SEO and AIO/GEO programs" and "Develop Japanese customer references and proof points".Source
    • Your websiteCustomer stories: 32 in English (Booking.com, Zillow, TIME, Ericsson, Duolingo, Databricks, DBS, GCash, Harvey, Zapier and others); the Japanese site carries translations of the same 32, with no Japanese customer among them.Source
    • Your websiteSitemap (4,653 URLs: 1,866 English, 1,734 French, 1,055 Japanese): product drop pages are listed only from August 2025 to March 2026, and the Japanese and French drops stop at March 2026. Blog posts accompany drops up to May 2026 ("skills-may-drop-2026"), with none for June, July or October.Source
  • 08

    Glean Intelligence marketing must clarify "model choice, performance, cost, latency", and the site tells "The AI Token Savings Story". CIOs are under pressure on AI spend.

    High impactMedium effort First result in 1 quarter Principal Product Marketing M…

    First action

    Model three company sizes.

    How to measure it

    Calculator-sourced meetings

    Now
    –
    Target
    40 a month
    By
    2 quarters

    Steps

    1. 1

      Model

      Three sizes.

      Principal Product Marketing Manager, Glean Intelligence 2 weeks

    2. 2

      Design

      Simple inputs.

      Web Marketing Manager 1 week

    3. 3

      Build

      Calculator page.

      Web Marketing Manager 1 month

    4. 4

      Validate

      With customer data.

      Senior Data Scientist, Growth 2 weeks

    5. 5

      Launch

      With the token story.

      Principal Product Marketing Manager, Glean Intelligence 1 week

    6. 6

      Measure

      Meetings.

      Senior Data Scientist, Growth monthly

    First result
    1 quarter
    Cost
    Engineering time
    Owner
    Principal Product Marketing Manager, Glean Intelligence

    Smallest test

    Publish a static table first.

    Why it works

    Build a calculator: users, queries per day and current model mix; it estimates token costs with and without Glean's routing and context, with stated assumptions. Offer a review with real usage data.

    A cost number in the buyer's terms turns a technical feature into a budget argument.

    Risks and how to handle them

    • Estimates questioned

      Show assumptions and ranges.

    Evidence

    • HiringPrincipal Product Marketing Manager, Glean Intelligence (posted September 1, 2026): will "Lead end-to-end launches for new models and platform capabilities ... while establishing repeatable launch processes", and "Bring Model Hub to market by clarifying model choice, performance, cost, latency, and use-case fit".Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • News coverageGlean press, May 28, 2026: "Glean Surpasses $300M ARR", after tripling revenue in 15 months; the $150 million Series F in 2025 valued Glean at $7.2 billion.Source
  • 09

    The growth data scientist is asked to find "which behaviors are most predictive of durable engagement". Glean claims 93% adoption in some customers; finding what those users do differently is the lever.

    High impactMedium effort First result in 2 quarters Senior Data Scientist

    First action

    Pull 90-day retention by first-week actions.

    How to measure it

    WAU / licensed seats

    Now
    –
    Target
    +10 points
    By
    3 quarters

    Steps

    1. 1

      Analyze

      Behaviors vs retention.

      Senior Data Scientist, Growth 1 month

    2. 2

      Pick habits

      Two or three.

      Senior Data Scientist, Growth 1 week

    3. 3

      Design nudges

      In-product and email.

      Growth Product Manager 1 month

    4. 4

      Test

      Holdout groups.

      Senior Data Scientist, Growth 1 quarter

    5. 5

      Roll out

      Winners.

      Growth Product Manager 1 month

    6. 6

      Share

      With customer success.

      Senior Data Scientist, Growth quarterly

    First result
    2 quarters
    Cost
    Product time
    Owner
    Senior Data Scientist, Growth

    Smallest test

    Test one nudge.

    Why it works

    Analyze cohorts to find two or three early behaviors (for example, using an agent in week two, or chat in Slack) linked to retention and seat expansion, then build prompts and lifecycle messages that lead new users to them.

    Pushing proven habits raises weekly active use, which drives renewals and expansion.

    Risks and how to handle them

    • Correlation not cause

      Use holdout tests.

    Evidence

    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source
    • Your websiteThe /compare hub has three head-to-head pages: Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise. There is no page against Google's Gemini work agent, Atlassian Rovo or ServiceNow; Glean instead has a connector page, "Atlassian Rovo integration with Glean". The hub claims "275+ tools", "110 hours per user/year" saved, "Glean adoption reached 93% in just 2 years", and that companies "recover their Glean investment in under 6 months".Source
    • HiringPrincipal Product Marketing Manager, Glean Agents (posted September 10, 2026): will "position Glean Agents as a category leader", run "full-funnel marketing campaigns" with marketing teams, and lead iteration "focusing on increasing adoption".Source
  • 10

    Glean has 33 agent library and 177 prompt library pages. The Agents PMM must drive adoption and demand. People search for "AI agent for month-end close" or "IT ticket triage agent".

    High impactMedium effort First result in 1 quarter Principal Product Marketing M…

    First action

    List the top 50 agent use cases from customers.

    How to measure it

    Agent-page trial starts

    Now
    –
    Target
    300 a month
    By
    2 quarters

    Steps

    1. 1

      List use cases

      From customers.

      Principal Product Marketing Manager, Glean Agents 2 weeks

    2. 2

      Template

      One page format.

      Web Marketing Manager 1 week

    3. 3

      Write

      Fifty pages.

      Principal Product Marketing Manager, Glean Agents 1 month

    4. 4

      Video

      Short clips.

      Video Producer 1 month

    5. 5

      Link

      From solutions.

      Web Marketing Manager 1 week

    6. 6

      Measure

      Trials.

      Senior Data Scientist, Growth monthly

    First result
    1 quarter
    Cost
    Content costs
    Owner
    Principal Product Marketing Manager, Glean Agents

    Smallest test

    Publish ten pages.

    Why it works

    Expand the agent library to 100 use cases with a page each: what the agent does, the connectors it uses, a short video and a "try it in your trial" link. Link from department solution pages.

    Use-case pages capture high-intent search and give champions something to share internally.

    Risks and how to handle them

    • Thin pages

      Each page needs a real example.

    Evidence

    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringPrincipal Product Marketing Manager, Glean Agents (posted September 10, 2026): will "position Glean Agents as a category leader", run "full-funnel marketing campaigns" with marketing teams, and lead iteration "focusing on increasing adoption".Source
    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
  • 11

    Field marketing West is measured on Stage 2+ pipeline and VP+ meetings from "less is more" executive programs. Executives respond to their own data.

    High impactMedium effort First result in 1 quarter Senior Field Marketing Manager

    First action

    Draft readouts for the next dinner's accounts.

    How to measure it

    Follow-up meetings per dinner

    Now
    –
    Target
    50% of attendees
    By
    2 quarters

    Steps

    1. 1

      Template

      One-page readout.

      Senior Field Marketing Manager, West 1 week

    2. 2

      Research

      Per account.

      Sales Development Representative 1 week

    3. 3

      Host

      Dinner.

      Senior Field Marketing Manager, West monthly

    4. 4

      Follow up

      Within 48 hours.

      Strategic Account Executive ongoing

    5. 5

      Track

      Stage 2+ pipeline.

      Senior Data Scientist, Growth monthly

    6. 6

      Refine

      Template.

      Senior Field Marketing Manager, West quarterly

    First result
    1 quarter
    Cost
    Event costs
    Owner
    Senior Field Marketing Manager, West

    Smallest test

    Pilot readouts at one dinner.

    Why it works

    Before each dinner, prepare a one-page readout per account (AI tools in use, likely token spend, departments with the most knowledge silos, from public data and the quiz), and offer a 30-minute follow-up to go deeper.

    A personal readout turns a dinner into a reason for the next meeting.

    Risks and how to handle them

    • Feels intrusive

      Use only public information.

    Evidence

    • HiringSenior Field Marketing Manager, West (two posts, August 25, 2026): "executive dinners, boardroom sessions, innovation forums" for named strategic accounts, measured on "Stage 2+ pipeline creation and acceleration within named accounts" and "Meetings with VP+ buyers", with a "less is more" approach.Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringPrincipal Product Marketing Manager, Glean Intelligence (posted September 1, 2026): will "Lead end-to-end launches for new models and platform capabilities ... while establishing repeatable launch processes", and "Bring Model Hub to market by clarifying model choice, performance, cost, latency, and use-case fit".Source
  • 12

    Glean is hiring a Partner Sales Manager for EMEA and a Partner Solutions Engineer. Partners need fresh, local material to bring Glean to clients.

    Medium impactMedium effort First result in 2 quarters Partner Sales Manager

    First action

    Build the kit for the October drop.

    How to measure it

    EMEA partner pipeline

    Now
    –
    Target
    +25%
    By
    3 quarters

    Steps

    1. 1

      Build kit

      October drop.

      Partner Sales Manager, EMEA 1 week

    2. 2

      Translate

      French.

      Localization Manager 1 week

    3. 3

      Share

      Partner portal.

      Partner Sales Manager, EMEA monthly

    4. 4

      Webinars

      Joint, quarterly.

      Partner Sales Manager, EMEA quarterly

    5. 5

      Track

      Deals by kit.

      Partner Operations monthly

    6. 6

      Improve

      Partner feedback.

      Partner Sales Manager, EMEA quarterly

    First result
    2 quarters
    Cost
    Staff time only
    Owner
    Partner Sales Manager, EMEA

    Smallest test

    Send one kit.

    Why it works

    Each month, package the drop into a partner kit (email, one slide, a demo script, French versions), plus a joint webinar template. Track partner-sourced deals by kit.

    Partners promote what is easy to promote, and monthly news gives them a reason to.

    Risks and how to handle them

    • Partners ignore kits

      Start with the top five partners.

    Evidence

    • HiringAlso open: a Sales Development Representative in Nashville (posted October 5, 2026) prospecting "new large enterprise and strategic accounts", a Partner Sales Manager, EMEA (Amsterdam or London, October 9) and a Partner Solutions Engineer (San Francisco, September 4).Source
    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
    • Your websiteSitemap (4,653 URLs: 1,866 English, 1,734 French, 1,055 Japanese): product drop pages are listed only from August 2025 to March 2026, and the Japanese and French drops stop at March 2026. Blog posts accompany drops up to May 2026 ("skills-may-drop-2026"), with none for June, July or October.Source
  • 13

    The Enterprise Context PMM must make Glean "a technical leader" on connectors, search quality and the Enterprise Graph. Buyers have no way to compare context quality.

    High impactMedium effort First result in 1 quarter Principal Product Marketing M…

    First action

    Draft 50 test questions with customers.

    How to measure it

    Analyst and press citations

    Now
    –
    Target
    20
    By
    3 quarters

    Steps

    1. 1

      Design

      Questions and scoring.

      Principal Product Marketing Manager, Enterprise Context 1 month

    2. 2

      Run

      Across models.

      Applied AI Engineer 1 month

    3. 3

      Review

      Method and fairness.

      Research Lead 2 weeks

    4. 4

      Publish

      With data.

      Principal Product Marketing Manager, Enterprise Context 1 week

    5. 5

      Brief analysts

      Gartner and others.

      Analyst Relations Manager 1 month

    6. 6

      Update

      Each release.

      Principal Product Marketing Manager, Glean Intelligence quarterly

    First result
    1 quarter
    Cost
    Research time
    Owner
    Principal Product Marketing Manager, Enterprise Context

    Smallest test

    Run 20 questions.

    Why it works

    Publish a repeatable benchmark: the same enterprise questions answered with and without Glean's context across models, scored for accuracy and permissions, with the method open. Update it with each model release.

    A benchmark gives analysts and buyers a reason to cite Glean and moves the debate to Glean's strength.

    Risks and how to handle them

    • Seen as biased

      Open the method and data.

    Evidence

    • HiringPrincipal Product Marketing Manager, Enterprise Context (posted September 21, 2026): owns go-to-market for "new connectors, search quality, Enterprise Graph, structured data, memory", turning architecture into "differentiated positioning" and "technical collateral", to "establish Glean as a technical leader in the next generation of enterprise AI".Source
    • HiringPrincipal Product Marketing Manager, Glean Intelligence (posted September 1, 2026): will "Lead end-to-end launches for new models and platform capabilities ... while establishing repeatable launch processes", and "Bring Model Hub to market by clarifying model choice, performance, cost, latency, and use-case fit".Source
    • Your websiteThe /compare hub has three head-to-head pages: Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise. There is no page against Google's Gemini work agent, Atlassian Rovo or ServiceNow; Glean instead has a connector page, "Atlassian Rovo integration with Glean". The hub claims "275+ tools", "110 hours per user/year" saved, "Glean adoption reached 93% in just 2 years", and that companies "recover their Glean investment in under 6 months".Source
  • 14

    Glean has no pricing page: /pricing silently redirects to the homepage. Buyers who search "Glean pricing" end up on third-party sites with guesses.

    Medium impactMedium effort First result in 1 quarter Director

    First action

    Check what ranks for "Glean pricing" today.

    How to measure it

    Pricing-page quote requests

    Now
    –
    Target
    50 a month
    By
    2 quarters

    Steps

    1. 1

      Check search

      Current results.

      Director, Digital Marketing 1 day

    2. 2

      Agree content

      With finance and sales.

      VP, Growth Marketing 2 weeks

    3. 3

      Write

      Guide and FAQ.

      Principal Product Marketing Manager, Glean Agents 1 week

    4. 4

      Build

      Page and form.

      Web Marketing Manager 1 week

    5. 5

      Route

      Quotes to sales.

      Marketing Operations Manager 2 days

    6. 6

      Measure

      Requests and win rate.

      Senior Data Scientist, Growth monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Director, Digital Marketing

    Smallest test

    Publish a short FAQ.

    Why it works

    Publish a pricing guide: how Glean is priced (per user, add-ons, usage), what affects cost, typical payback ("under 6 months"), and a form for a quote. No list prices needed.

    Buyers who understand how pricing works book more qualified calls, and the page replaces third-party guesses in search and AI answers.

    Risks and how to handle them

    • Price anchoring

      Explain drivers, not numbers.

    Evidence

    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • Your websiteThe /compare hub has three head-to-head pages: Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise. There is no page against Google's Gemini work agent, Atlassian Rovo or ServiceNow; Glean instead has a connector page, "Atlassian Rovo integration with Glean". The hub claims "275+ tools", "110 hours per user/year" saved, "Glean adoption reached 93% in just 2 years", and that companies "recover their Glean investment in under 6 months".Source
    • Your website/llm-info, the page robots.txt opens to GPTBot, ClaudeBot and PerplexityBot (and blocks for search engines), says "The platform supports 100+ connectors" and "more than $200M ARR as of late 2025". The homepage also has an "Ask AI for a summary about Glean" block with links to ChatGPT, Claude and Perplexity. /llms.txt returns 404.Source
  • 15

    The VP of Growth Marketing owns pipeline "across Enterprise, Commercial, and Global markets", and Glean has a trial registration page. Commercial buyers want to try before a long sales cycle.

    High impactMedium effort First result in 1 quarter VP

    First action

    Measure current trial activation.

    How to measure it

    Trial-to-paid in Commercial

    Now
    –
    Target
    15%
    By
    3 quarters

    Steps

    1. 1

      Baseline

      Trial activation.

      Senior Data Scientist, Growth 2 weeks

    2. 2

      Design path

      Connectors and templates.

      Growth Product Manager 1 month

    3. 3

      Build

      Guided setup.

      Growth Product Manager 1 quarter

    4. 4

      Assist

      Day-five call.

      Sales Development Representative ongoing

    5. 5

      Test

      A share of trials.

      Senior Data Scientist, Growth 1 month

    6. 6

      Scale

      If it converts.

      VP, Growth Marketing quarterly

    First result
    1 quarter
    Cost
    Product time
    Owner
    VP, Growth Marketing

    Smallest test

    Offer guided setup to 20 trials.

    Why it works

    Design a Commercial path: trial with a few connectors, guided setup, in-trial agent templates and a sales assist at day five. Measure activation and conversion separately.

    A lighter path lowers cost of acquisition for smaller companies and keeps enterprise sellers on large deals.

    Risks and how to handle them

    • Security reviews still slow deals

      Prepare a trial security pack.

    Evidence

    • HiringVP, Growth Marketing (Mountain View, posted August 3, 2026): leads "Demand Generation, Digital, Field Marketing, and Partner Marketing" with "accountability for pipeline, revenue, and ARR growth", to build "a predictable, AI-first demand engine that fuels new-logo growth and expansion" across "Enterprise, Commercial, and Global markets".Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source

Big bets 3

Larger plays that can change the trajectory.

  • 16

    Glean runs Glean:GO 2026, 72 webinars and the Work AI Institute. A yearly event creates a spike; a program keeps buyers engaged.

    High impactHigh effort First result in 3 quarters VP

    First action

    Plan the first regional edition.

    How to measure it

    Event-sourced pipeline

    Now
    –
    Target
    +40%
    By
    4 quarters

    Steps

    1. 1

      Plan

      Regions and dates.

      VP, Growth Marketing 1 month

    2. 2

      Content

      Customer sessions.

      Customer Marketing Manager 1 quarter

    3. 3

      Labs

      Agent labs.

      Principal Product Marketing Manager, Glean Agents 1 quarter

    4. 4

      Promote

      Regional campaigns.

      Director, Digital Marketing ongoing

    5. 5

      Publish

      Sessions online.

      Web Marketing Manager ongoing

    6. 6

      Measure

      Pipeline.

      Senior Data Scientist, Growth quarterly

    First result
    3 quarters
    Cost
    Event budget
    Owner
    VP, Growth Marketing

    Smallest test

    Run one regional edition.

    Why it works

    Turn Glean:GO into quarterly regional editions (US West, EMEA, Tokyo), each with customer sessions, a product drop and hands-on agent labs, and put sessions on indexable pages.

    Regional events reach more executives and give field teams regular moments for deals.

    Risks and how to handle them

    • Cost

      Start with one region.

    Evidence

    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringSenior Field Marketing Manager, West (two posts, August 25, 2026): "executive dinners, boardroom sessions, innovation forums" for named strategic accounts, measured on "Stage 2+ pipeline creation and acceleration within named accounts" and "Meetings with VP+ buyers", with a "less is more" approach.Source
    • HiringContent Marketing Manager, Tokyo (posted August 14, 2026): will "build our Japanese content marketing engine", "Improve priority Japanese website pages and lead localization", "Build practical SEO and AIO/GEO programs" and "Develop Japanese customer references and proof points".Source
  • 17

    Glean has an agent library and agent governance; customers build agents for their own work. Sharing them would show breadth and speed adoption.

    High impactHigh effort First result in 4 quarters Principal Product Marketing M…

    First action

    Ask ten customers to share one agent.

    How to measure it

    Marketplace installs

    Now
    –
    Target
    5,000
    By
    4 quarters

    Steps

    1. 1

      Policy

      What can be shared.

      Legal 1 month

    2. 2

      Build

      Publish flow.

      Growth Product Manager 1 quarter

    3. 3

      Seed

      Fifty agents.

      Principal Product Marketing Manager, Glean Agents 1 quarter

    4. 4

      Launch

      At Glean:GO.

      VP, Growth Marketing 1 month

    5. 5

      Promote

      Authors.

      Community Manager ongoing

    6. 6

      Measure

      Installs and use.

      Senior Data Scientist, Growth monthly

    First result
    4 quarters
    Cost
    Product time
    Owner
    Principal Product Marketing Manager, Glean Agents

    Smallest test

    Publish ten customer agents.

    Why it works

    Let customers publish anonymized agent templates to a public marketplace, with ratings and installs, and credit the authors.

    A marketplace creates network effects and content that rivals cannot copy.

    Risks and how to handle them

    • Data leakage

      Templates without customer data.

    Evidence

    • HiringPrincipal Product Marketing Manager, Glean Agents (posted September 10, 2026): will "position Glean Agents as a category leader", run "full-funnel marketing campaigns" with marketing teams, and lead iteration "focusing on increasing adoption".Source
    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source
  • 18

    Glean sells to PE firms (it has a PE/VC solution page and a partnerships manager role). Portfolio-wide deals bring many companies at once.

    High impactHigh effort First result in 4 quarters VP

    First action

    List three sponsors with existing customers.

    How to measure it

    PE portfolio deployments

    Now
    –
    Target
    50
    By
    4 quarters

    Steps

    1. 1

      Offer

      Standard terms.

      Private Equity Partnerships Manager 1 month

    2. 2

      Playbook

      60-day deployment.

      AI Outcomes Lead 1 month

    3. 3

      Report

      Impact template.

      Senior Data Scientist, Growth 1 month

    4. 4

      Sign

      Three sponsors.

      Private Equity Partnerships Manager 2 quarters

    5. 5

      Deploy

      Portfolio companies.

      AI Outcomes Lead ongoing

    6. 6

      Publish

      Aggregated results.

      Customer Marketing Manager 1 quarter

    First result
    4 quarters
    Cost
    Staff time
    Owner
    VP, Growth Marketing

    Smallest test

    Sign one sponsor.

    Why it works

    Package a portfolio offer: standard terms, a 60-day deployment playbook, and a measured impact report per company that sponsors can show to their investors.

    One sponsor relationship can open dozens of companies, and measured impact sells the next portfolio.

    Risks and how to handle them

    • Uneven portfolio quality

      Start with the best fit companies.

    Evidence

    • Your websiteHomepage and navigation: Glean Intelligence (auto routing, Model hub, usage controls, AI gateway), Glean Agents (builder, orchestration, governance, library), an "AI Stack Score" quiz for engineering teams, "The AI Token Savings Story", 177 prompt-library pages and 33 agent-library pages. There is no pricing page (/pricing redirects to the homepage); /free-trial leads to a trial registration.Source
    • HiringVP, Growth Marketing (Mountain View, posted August 3, 2026): leads "Demand Generation, Digital, Field Marketing, and Partner Marketing" with "accountability for pipeline, revenue, and ARR growth", to build "a predictable, AI-first demand engine that fuels new-logo growth and expansion" across "Enterprise, Commercial, and Global markets".Source
    • News coverageGlean press, May 28, 2026: "Glean Surpasses $300M ARR", after tripling revenue in 15 months; the $150 million Series F in 2025 valued Glean at $7.2 billion.Source

Wildcards 4

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

  • 19

    Japanese and French product drop pages stop at March 2026, while the Tokyo content marketer is hired to improve priority Japanese pages and run "AIO/GEO programs".

    Medium impactLow effort First result in 1 quarter Content Marketing Manager

    First action

    Translate the October drop.

    How to measure it

    Localized drop visits

    Now
    –
    Target
    3,000 a month
    By
    2 quarters

    Steps

    1. 1

      Backlog

      April to October.

      Content Marketing Manager, Tokyo 1 month

    2. 2

      French

      Same backlog.

      Localization Manager 1 month

    3. 3

      Process

      One week after English.

      Principal Product Marketing Manager, Glean Intelligence 1 week

    4. 4

      Promote

      Local newsletters.

      Content Marketing Manager, Tokyo monthly

    5. 5

      Measure

      Visits.

      Senior Data Scientist, Growth monthly

    6. 6

      Review

      Quarterly.

      Content Marketing Manager, Tokyo quarterly

    First result
    1 quarter
    Cost
    Translation costs
    Owner
    Content Marketing Manager, Tokyo

    Smallest test

    Translate October first.

    Why it works

    Publish localized summaries of every 2026 drop, then make localization part of each launch, published within a week of English.

    Local buyers see a product that moves fast, and local search finds it.

    Risks and how to handle them

    • Lag returns

      Make it part of launch sign-off.

    Evidence

    • Your websiteSitemap (4,653 URLs: 1,866 English, 1,734 French, 1,055 Japanese): product drop pages are listed only from August 2025 to March 2026, and the Japanese and French drops stop at March 2026. Blog posts accompany drops up to May 2026 ("skills-may-drop-2026"), with none for June, July or October.Source
    • HiringContent Marketing Manager, Tokyo (posted August 14, 2026): will "build our Japanese content marketing engine", "Improve priority Japanese website pages and lead localization", "Build practical SEO and AIO/GEO programs" and "Develop Japanese customer references and proof points".Source
    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
  • 20

    Glean's value depends on wide adoption inside each customer, and each month brings new features most employees never hear about.

    Medium impactLow effort First result in 1 quarter Customer Marketing Manager

    First action

    Send the October kit to 20 champions.

    How to measure it

    New-feature adoption

    Now
    –
    Target
    +25%
    By
    2 quarters

    Steps

    1. 1

      Write kit

      Email, Slack, video.

      Customer Marketing Manager 1 week

    2. 2

      Tailor

      By department.

      Principal Product Marketing Manager, Glean Agents 1 week

    3. 3

      Send

      To champions.

      Customer Success Manager monthly

    4. 4

      Track

      Adoption.

      Senior Data Scientist, Growth monthly

    5. 5

      Collect stories

      From champions.

      Customer Marketing Manager ongoing

    6. 6

      Improve

      Monthly.

      Customer Marketing Manager monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Customer Marketing Manager

    Smallest test

    Send one kit.

    Why it works

    Give champions a monthly ready-to-send internal email and Slack post from each drop, tailored by department, plus a short video. Track feature adoption in accounts that use it.

    Champions do the internal marketing Glean cannot, and it lifts weekly use.

    Risks and how to handle them

    • Champions overloaded

      Keep it short.

    Evidence

    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source
    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source
  • 21

    The CI PMM maintains the market landscape for the field. A public, fair version would be widely shared by buyers and analysts.

    Medium impactLow effort First result in 1 quarter Product Marketing Manager Com…

    First action

    Draft the first map.

    How to measure it

    Map downloads

    Now
    –
    Target
    5,000 a quarter
    By
    2 quarters

    Steps

    1. 1

      Draft

      Categories.

      Product Marketing Manager - Competitive Intelligence 2 weeks

    2. 2

      Review

      Fairness.

      Legal 1 week

    3. 3

      Design

      Map.

      Brand Designer 1 week

    4. 4

      Publish

      Page and PDF.

      Web Marketing Manager 1 day

    5. 5

      Promote

      Social and analysts.

      Director, Digital Marketing 1 month

    6. 6

      Update

      Quarterly.

      Product Marketing Manager - Competitive Intelligence quarterly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Product Marketing Manager Competitive Intelligence

    Smallest test

    Publish one map.

    Why it works

    Publish a quarterly map of enterprise AI categories (search, assistants, agents, gateways) with where Glean fits, and a short commentary.

    Landscape maps earn links and position Glean as the reference.

    Risks and how to handle them

    • Rivals object

      Use public facts only.

    Evidence

    • HiringProduct Marketing Manager - Competitive Intelligence (Bangalore, posted September 17, 2026): "owning the upkeep of our market landscape and competitive positioning", "win/loss analysis", "competitor comparisons, deal support materials" and "timely competitive insights" for the field.Source
    • Your websiteThe /compare hub has three head-to-head pages: Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise. There is no page against Google's Gemini work agent, Atlassian Rovo or ServiceNow; Glean instead has a connector page, "Atlassian Rovo integration with Glean". The hub claims "275+ tools", "110 hours per user/year" saved, "Glean adoption reached 93% in just 2 years", and that companies "recover their Glean investment in under 6 months".Source
    • Competitor researchRivals' own pages: Google sells "Gemini for Business: The Universal Work Agent"; Atlassian's Rovo "helps teams take action on organization knowledge using Rovo Search, Rovo Chat and specialized Rovo Agents"; Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise are the rivals Glean already compares itself with.Source
  • 22

    The growth data scientist's framework includes "resurrection". Lapsed users in paying accounts are a cheap source of active use.

    Medium impactLow effort First result in 1 quarter Senior Data Scientist

    First action

    Count lapsed users.

    How to measure it

    Return rate

    Now
    –
    Target
    15%
    By
    2 quarters

    Steps

    1. 1

      Define

      Lapsed user.

      Senior Data Scientist, Growth 1 week

    2. 2

      Message

      What changed.

      Lifecycle Marketing Manager 2 weeks

    3. 3

      Send

      Monthly.

      Lifecycle Marketing Manager monthly

    4. 4

      Test

      Holdout.

      Senior Data Scientist, Growth 1 month

    5. 5

      Scale

      Winners.

      Lifecycle Marketing Manager quarterly

    6. 6

      Report

      To CS.

      Senior Data Scientist, Growth monthly

    First result
    1 quarter
    Cost
    Staff time only
    Owner
    Senior Data Scientist, Growth

    Smallest test

    Message 500 lapsed users.

    Why it works

    Find users inactive for 30 days, send a "what's new since you last used Glean" message built from the drops, and measure return rate.

    Returning users raise account health at almost no cost.

    Risks and how to handle them

    • Admin restrictions on messages

      Work through champions.

    Evidence

    • HiringSenior Data Scientist, Growth (posted August 13, 2026): defines the growth framework "across acquisition, activation, engagement, retention, resurrection, and expansion" (WAU, activation, feature adoption) and sizes opportunities in "onboarding, product discoverability, education, lifecycle messaging, collaboration and virality".Source
    • Your websiteMonthly Product Drop pages, checked October 21, 2026: April, May, June, July and October 2026 all carry <meta name="robots" content="noindex">, while March 2026 and earlier are indexable. The October 2026 page, promoted in the homepage banner ("October Drop 2026: Team chat lets everyone contribute context"), holds one feature line and four customer quotes; the April page's title is just "April 2026". /product-drop/august-2026 and september-2026 return 404.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

ProgrammableTalk

Fill the events in this plan

These ideas are events. Talk gets registrants for them and tells you who's coming and what their company does before the day.

Plan an event (opens programmable.talk in a new tab)
Website review of glean.com More example playbooks and reviews

More growth playbooks

Other companies we have researched, each read from what they are hiring for.

  • Fingerprint growth strategyDevice intelligence for fraud prevention: an API that identifies browsers and mobile devices with high accuracy, 100+ Smart Signals (VPN…21 growth ideas
  • Sanara Skincare growth strategyPlant-based body care built on indigenous Latin American botanicals: body oil, body butter, body polish, clay soap, bath soak, an…20 growth ideas
  • Tanium growth strategyThe Autonomous IT Platform: real-time endpoint management, exposure management and security operations, now operated through Tanium Atlas…21 growth ideas
  • Hale growth strategyAn internal nasal dilator (the Hale breathing aid) designed by a Johns Hopkins nasal surgeon, sold as a three-size trial kit with refills…21 growth ideas
  • Study.com growth strategyAn online learning platform with lessons, test prep for dozens of exams (teacher certification, nursing, military, TOEFL as the official…23 growth ideas
  • Alo Yoga growth strategyA premium yoga and athleisure brand selling apparel, accessories and wellness products online, in stores with studios, and through ALO…22 growth ideas
  • Canonical growth strategyThe publisher of Ubuntu and a portfolio of open source infrastructure: Ubuntu Pro, OpenStack, Kubernetes, MAAS, Juju, LXD, data and AI…22 growth ideas
  • Skydio growth strategyThe largest US drone maker: autonomous X10, F10 Lightrunner and R10 drones, docks and Command software for drone as first responder, site…23 growth ideas

See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 22, 2026, and cites them throughout. Glean did not commission, review or endorse it, and Programmable is not affiliated with Glean. 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 Glean runs its business.

Something wrong, or do you represent Glean? 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 307 ideas

    Indexable product drops, /llm-info refresh, new comparisons, one connector number, drop-based SDR openers and department quizzes; start the Japanese and French drop backlog.

  2. Days 31 to 6012 ideas

    Japanese stories, token calculator, habit analysis, agent pages, executive readouts, partner kits, context benchmark, pricing guide and a Commercial trial path; champion kits, landscape map and lapsed users.

  3. Days 61 to 903 ideas

    Commit to the big bets: regional Glean:GO, an agent marketplace and a PE portfolio program.

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 answers in seconds across all company tools. The most cited problem: knowledge scattered across many apps.

  • Permissions respected automatically
  • AI tools without company context
  • In their words: “context”

Market

Competitive landscape

5 competitors compared: Microsoft 365 Copilot, ChatGPT Enterprise, Claude Enterprise, Google Gemini for Business and 1 more.

  • Gap to exploit: Neutral context layer across suites
  • Microsoft 365 Copilot: Context outside Microsoft tools
  • ChatGPT Enterprise: Enterprise context and permissions

Hiring signals

Glean is building a full growth engine on top of $300 million ARR: a VP of Growth Marketing over demand generation, digital, field and partner marketing (ideas 2, 6, 14, 15, 16), principal product marketers for…

  • VP, Growth Marketing: A predictable, AI-first demand engine. Ideas 6, 15, 16.
  • Principal Product Marketing Manager, Glean Intelligence: Repeatable launch processes; Model Hub cost and choice. Ideas 1, 8.
  • Principal Product Marketing Manager, Enterprise Context: Connectors and context as technical leadership. Ideas 4, 13.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
  • ProgrammableInfoAn agent that finds, researches and asks first (opens programmable.info in a new tab)
  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
ProgrammableMarketing
ExamplesLeaderboardsProductsTermsPrivacyCookiesDPALegalContact

© 2026 AI-Powered Growth Intelligence