Generative Engine Optimization (GEO): A Technical Checklist for Getting Cited in AI Answers

GEO is not “ranking”. It is retrieval and citation. AI systems select sources that are crawlable, unambiguous, and packed with reusable facts (pricing, integrations, limits, comparisons). If your product is missing those facts, you will not make the shortlist.

This guide is intentionally short and technical. It is what to ship.

How AI answers pick sources (the part you can influence)

Most recommendation answers follow a simple pipeline:

1. Retrieve pages that look relevant and trustworthy (docs, pricing pages, directory listings, comparisons).
2. Extract facts (prices, plan names, integrations, constraints, who it is for).
3. Synthesize a shortlist and explanation.

Your job is to make retrieval easy and extraction safe.

Ship these assets (minimum viable source set)

If you want AI engines to cite you, your site needs stable URLs with explicit facts:

• /pricing: real numbers, plan names, what is included, upgrade path.
• /integrations: exact names, plus explicit “not supported” items.
• /docs: definitions + FAQ for common buyer questions.
• /compare/{competitor}: tradeoffs table + “not a fit if”.

If you hide pricing or integrations behind auth, you are asking AI to guess.

Add llms.txt (yes, it matters)

Publish /llms.txt as a lightweight index of your best public sources.

Keep it simple:

• Link to /docs, /pricing, /integrations, /security, /compare/*, /changelog
• One sentence per link describing what is inside

Think of it as a curated sitemap for AI retrieval.

Make facts machine-readable (JSON-LD that reduces ambiguity)

Structured data will not magically rank you, but it can prevent misclassification and improve extraction.

At minimum:

• Organization: legal name, URL, logo, socials.
• Product: name, description, brand, category.
• FAQPage: for integration and pricing questions.
• BreadcrumbList: for key pages.

If your pricing is public, consider Offer or OfferCatalog on the pricing page. Only include ratings if they are real and verifiable.

Crawl and index hygiene (boring, but it decides visibility)

If AI retrieval cannot reliably fetch your pages, none of this works.

Checklist:

• Stable canonical URLs (no duplicate paths, no random querystring variants).
• Server-rendered content for critical facts (pricing tables, integration lists).
• robots.txt + sitemap.xml that actually include the pages above.
• Noindex for login walls, dashboards, and thin pages.
• Consistent naming: product name, plan names, feature names. Do not rename weekly.

Your “Facts Block” (the fastest extraction win)

Put this near the top of your homepage and in your docs intro. It is designed to be quoted.

• Product: {Name}
• Category: {What people call it}
• Best for: {ICP in one line}
• Core outcome: {measurable result}
• Integrations: {exact names}
• Pricing: {numbers}
• Not a fit if: {1 to 2 constraints}
• Alternatives: {2 to 4}

Distribution: AI cites what the web already trusts

AI answers pull heavily from directories, community posts, docs, and comparison pages. Your site is only half the footprint.

Make sure your product facts are consistent across high-trust listings. If you are building in public, publish updates where builders actually discover and compare products.

Submit your product to PeerPush →

Measurement (a weekly GEO loop)

Pick 10 prompts and run them weekly across the engines your audience uses:

• “Best {category} for {ICP}”
• “{competitor} alternatives”
• “Tool that integrates with {integration} for {use case}”
• “Is {your product} good for {edge case}?”

Track:

• Mentioned vs not mentioned
• Fact correctness (pricing, integrations, positioning)
• Cited vs not cited (link or named source)

Then patch the missing asset. If you are not cited, you usually lack a page that states the fact cleanly.

Quick technical checklist

• Public /pricing with numbers and plan names
• Public /integrations with exact names and explicit exclusions
• Public /security or /trust
• Public /docs with definitions + FAQ
• One /compare/* page with a table and “not a fit if”
• Public /changelog with dated entries
• llms.txt links to the above
• sitemap.xml includes the above and uses canonical URLs
• JSON-LD (Organization, Product, FAQPage) on the right pages

If you ship this and keep your facts consistent across trusted listings, you will show up more often, and with fewer wrong claims.