Workflow library
Browse B2B AI workflows
Search practical workflows by category, tool, role, use case, difficulty, or access tier. Every workflow is built to produce a concrete GTM output.
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Build a competitive displacement brief from calls, reviews, and win-loss notes
Combine sales calls, review themes, and competitive intel into a deal-ready brief for beating a specific competitor.
Output
Create a competitive displacement brief with traps, proof points, objection responses, and seller talk tracks.
Build a pricing page message test plan from objections and visitor behavior
Use buyer objections, pricing-page analytics, and session recordings to create copy hypotheses, variants, QA checks, and a measurement plan.
Output
Create a pricing page testing plan with message hypotheses, copy variants, and conversion measurement.
Create a product launch narrative kit for sales, website, ads, and email
Turn launch inputs into a PMM-approved narrative system that keeps website, sales, ads, email, customer, and support messaging consistent.
Output
A launch narrative kit with positioning, audience-specific message blocks, claim guardrails, FAQs, channel copy, approval status, and post-launch message learnings.
Launch new-feature adoption pages for 25 target customers
Turn feature docs and customer context into account-specific adoption pages, forms, and outbound messages that drive usage from customers most likely to benefit.
Output
Twenty-five customer-specific feature adoption pages with tailored messaging, embedded forms, and matched outreach.
Use deal notes and competitor pricing to inform packaging decisions
Analyze pricing objections, discount patterns, competitor packaging, usage signals, and win-loss notes to create a PMM recommendation for pricing and packaging decisions.
Output
A pricing and packaging intelligence board with objections, competitor plan comparisons, discount patterns, segment insights, and a recommendation memo.
Turn an approved launch narrative into a multi-channel asset factory
After PMM finalizes strategy, use a Launch GPT-style system to generate consistent blogs, emails, enablement, FAQs, decks, and social copy with review gates.
Output
A launch asset factory that turns one approved narrative into coordinated draft launch assets routed through PMM and stakeholder review.
Map PMM work into AI-led, AI-augmented, and human-led workflows
Audit product marketing work, decide what AI should automate or assist, and build a practical 30/60/90-day roadmap that protects strategic human judgment.
Output
A PMM AI adoption roadmap with task classification, workflow candidates, risk levels, owners, tools, and a 30/60/90-day implementation plan.
Build a newsjacking monitor that turns trends into product demo angles
Monitor industry and cultural news, detect moments your product can credibly attach to, and create timely demo angles, scripts, and approval-ready briefs.
Output
A newsjacking system that produces trend alerts, PMM angle briefs, demo scenarios, scripts, and review-ready content recommendations.
Generate dynamic sales battlecards from competitor, call, and review signals
Create battlecards that update from competitor pages, Gong calls, reviews, win-loss notes, and PMM-approved proof instead of static PDFs that go stale.
Output
A dynamic battlecard workflow with competitor snapshots, buyer objections, talk tracks, landmine questions, proof points, and review status.
Turn support, reviews, and calls into a product education backlog
Analyze customer confusion across support tickets, reviews, calls, and product feedback to prioritize help content, onboarding, enablement, and adoption assets.
Output
A prioritized product education backlog with themes, affected segments, recommended assets, owners, and measurement plan.
Turn launch meetings into an auto-updated PMM decision hub
Capture decisions, risks, owner changes, messaging shifts, and action items from launch syncs, then update a central hub without manual note cleanup.
Output
An auto-updated launch decision hub with summaries, decisions, risks, open questions, action items, and review issues after every launch sync.
Run a PMM messaging test sprint before launching copy
Use AI to generate and pre-rank message variants, then validate the strongest options with real buyer feedback before changing a homepage, landing page, or campaign.
Output
A validated messaging recommendation with variants, persona critique, buyer feedback, and a final copy decision.
Surface competitive deal tips from Gong calls into Slack and Salesforce
Detect competitor mentions and pricing objections in active deals, then deliver deal-specific talk tracks, proof points, and battlecard snippets to reps where they work.
Output
A real-time competitive deal support engine that turns call signals into Slack or Salesforce guidance for reps and PMMs.
Create competitive landing pages from battlecards, positioning, and proof
Use existing PMM strategy assets to generate competitive landing pages that are source-backed, reviewable, and ready for Webflow instead of generic comparison copy.
Output
A repeatable competitive landing page system with source-backed claims, section copy, proof blocks, lightweight mockups, and a review loop.
Turn sales calls into a living buyer persona database
Extract pains, triggers, objections, decision criteria, buyer language, and persona patterns from every qualified sales call so personas evolve continuously.
Output
A living persona intelligence database in Notion or Airtable populated from call transcripts, reviewed by PMM, and converted into updated persona cards.
Build a PMM business case from secondary market research
Turn scattered market reports, competitor pages, analyst notes, review themes, and customer evidence into a cited business case PMMs can take to executives.
Output
A 10-15 page PMM business case with market context, competitor movement, risks, assumptions, strategic options, and an executive recommendation.
Mine win-loss notes into positioning and messaging insights
Turn scattered win-loss notes and call transcripts into PMM-ready insights about why deals are won, why they stall, which competitors appear, and what messaging needs to change.
Output
A win-loss insight report with theme clusters, competitor patterns, proof gaps, messaging recommendations, and field enablement actions.