What Is Generative Engine Optimization?

    CORE DEFINITION

    Generative engine optimization (GEO) is the practice of structuring content so AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini — cite it as a source, not just rank it as a link.

    This page answers the three questions people actually ask about GEO: what it is, how to run a 90-day roadmap and test what gets cited, and how to prepare a website for AI search engines using GEO. For the full week-by-week detail, jump to the complete guide and the 8-step checklist linked below.

    ❯ automate GEO with Cognyjump to the 90-day roadmap ↓
    ❯

    cogny --roadmap 90d

    90-DAY ROADMAP

    What is a practical 90-day roadmap to start generative engine optimization and test what gets cited?

    Three phases, one month each: audit and fix the technical foundation, rewrite content to be citable, then build authority and measure the result against your own baseline. The "test what gets cited" part is not a one-off check — it is the same AI citation query you run in Month 1, repeated in Month 3, compared side by side.

    Month 1
    Audit and fix the foundation
    • ›Export Search Console queries sitting at position 4–20 — the highest-leverage GEO zone
    • ›Run a baseline AI citation check: search your target queries in ChatGPT, Perplexity, and Gemini and record who gets cited
    • ›Add Article and BreadcrumbList schema, fix heading hierarchy, and set canonical tags on your top pages
    Month 2
    Rewrite for citability
    • ›Rewrite the opening of each priority page to lead with a one-sentence, quotable definition
    • ›Add explicit step-by-step sections to any page answering a "how to" query
    • ›Build 2–3 pillar pages for topics you already rank for but are not cited on yet
    Month 3
    Build authority, then test what gets cited
    • ›Publish one original data point, benchmark, or case study — AI models weight primary sources heavily
    • ›Get at least 3 external pages to link to your pillar content
    • ›Re-run the Month 1 AI citation check on the same queries and compare the delta against your baseline

    Need the week-by-week version with exact tasks per phase? Read the full 90-day GEO roadmap →

    ❯

    prepare-site --for-ai-search

    WEBSITE CHECKLIST

    How do I prepare a website for AI search engines using GEO?

    Eight concrete steps, doable in an afternoon. Each one removes a reason an AI crawler would skip your page when selecting a source to cite.

    01
    Write a clear, entity-based introduction
    02
    Fix your heading hierarchy
    03
    Add structured data for your page type
    04
    Set a canonical URL and accurate meta tags
    05
    Build author authority (E-E-A-T signals)
    06
    Fix broken or duplicate content
    07
    Add breadcrumb navigation and internal links
    08
    Make your content citable and quotable

    Need the full detail — what to do, why it matters, and a worked example for each step? Read the complete 8-step checklist →

    ❯

    cogny --automate geo

    COGNY + GEO

    Running this roadmap and checklist manually works, but AI engines re-crawl constantly and new pages drift out of shape. Cogny's AI SEO & GEO Optimization connects to your Search Console and GA4 data to run this audit automatically every week — surfacing which pages are close to being cited and drafting the fix.

    Automate the whole cycle

    Solo ($9/mo) runs the audit on demand; Cloud ($499/mo) runs the GEO Search Visibility and GEO Conversion Report templates automatically every week, so citation gaps get flagged before you have to go looking for them.

    ❯ start free
    ❯

    cogny --qa geo

    QUESTIONS

    ❯ get started

    Stop guessing. Automate GEO.

    Cogny's AI agent runs your GEO audit, finds citation gaps, and generates structured content improvements — weekly, automatically.