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  "description": "\n\n\n\n\n\n\n\n\n\nA practical guide for product marketers and competitive intelligence professionals on getting real work out of AI tools.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMake AI do the CI busywork, so you can do the strategy\n\n\n\n\nCompetitive intelligence teams are small, budgets are tight, and there's more competitor data to track than any team can process alone.\n\n\nThis playbook shows you how to use ChatGPT, Claude, Gemini, and Perplexity for the work you do: competitor monitoring, sentiment analysis, gap analysis, and b",
  "path": "/ai-in-ci-2026-ebook/",
  "publishedAt": "2026-07-08T13:26:59.000Z",
  "site": "https://www.productmarketingalliance.com",
  "textContent": "A practical guide for product marketers and competitive intelligence professionals on getting real work out of AI tools.\n\n# Make AI do the CI busywork, so you can do the strategy\n\nCompetitive intelligence teams are small, budgets are tight, and there's more competitor data to track than any team can process alone.\n\nThis playbook shows you how to use ChatGPT, Claude, Gemini, and Perplexity for the work you do: competitor monitoring, sentiment analysis, gap analysis, and battlecard production. **No technical background required, no big budget required.**\n\nInside, you'll find the prompt structures used by CI professionals at Adobe and CompeteIQ, a breakdown of which AI model to use for which task, and a plan for building an AI agent that tracks competitors and updates your team on Slack.\n\nYou'll also see where AI still gets things wrong: hallucinations, data privacy risks, and training data gaps that can leave you working from outdated information.\n\nDownload the eBook\n\n## Who's this for?\n\nThis playbook is for product marketers who own competitive intelligence alongside 5 other responsibilities, and for dedicated CI professionals running a team of 1 or 2.\n\nIf you've tried ChatGPT for CI work and gotten mixed results, this covers what changed: which models handle long documents without losing accuracy, what a working prompt structure looks like, and how to move from one-off summaries to an ongoing intelligence process. No coding required.\n\nGrab your copy\n\n## What you’ll discover\n\nWhy a gap-analysis-led report gets CI a seat in product roadmap conversations.\n\nHow to build an AI agent that monitors competitors, updates your battlecards, and notifies sales in Slack, plus the governance rules to keep confidential company data safe.\n\nWhich AI model to use for a 500-page analyst report, and which one is more reliable on financial data.\n\nWhy a quarterly CI report is already out of date, and what to include in a weekly update that keeps stakeholders current.\n\nThe prompt structure that works across ChatGPT, Claude, and Gemini, with sample prompts for competitor monitoring, sentiment analysis, and pricing analysis.\n\nThe bootstrapped competitor blind spot: how companies with no funding rounds and no press coverage take market share while your team watches the big, funded rivals.\n\nGive me my copy\n\n## Get the playbook\n\n48 pages, 10 parts, sample prompts included. Read it on your own time or skim it before your next competitive review.\n\nDownload today\n\n## Get the playbook\n\n48 pages, 10 parts, sample prompts included. Read it on your own time or skim it before your next competitive review.\n\nDownload today",
  "title": "AI in CI 2026 eBook",
  "updatedAt": "2026-07-26T10:31:22.656Z"
}