Use this GEO checklist to improve the conditions that can make a page discoverable, understandable and useful to generative search systems. It is not a guarantee of inclusion or citation. The strongest work still begins with technically accessible pages, distinctive information, clear sourcing and a useful answer for the reader.
What this GEO checklist covers
Generative engine optimisation (GEO) is the practice of improving how content performs in AI-assisted discovery and answer experiences. In practical terms, that means checking four things: whether systems can access the page, whether they can interpret it, whether the page contains a passage worth retrieving, and whether the result can be measured honestly.
1. Establish a measurable baseline
- Choose a representative prompt set. Record real questions from customers, sales calls, support tickets and search-query data. Avoid testing only prompts that mention your brand.
- Record the environment. Log the product, date, account or location conditions, prompt wording, cited URLs and answer outcome.
- Capture business outcomes. Measure qualified visits, engaged sessions, leads or assisted conversions—not citations alone.
Answers can vary between runs and products. Treat prompt testing as a sample, not a census. Use the same prompt set and schedule when comparing results over time.
2. Confirm technical access
- Return a successful HTTP status for the preferred URL.
- Use one self-referencing canonical URL and remove accidental duplicate versions.
- Confirm that important content is present in readable HTML, not available only after a fragile interaction.
- Check robots.txt, meta robots rules, CDN rules and firewall settings for unintended blocks.
- Include the page in an XML sitemap and link to it from relevant indexable pages.
- Test the rendered mobile page for hidden text, overlays and layout failures.
Provider controls differ. Review the current documentation before changing crawler access. OpenAI distinguishes between its search crawler and other user agents in its official crawler documentation, while Perplexity publishes its own crawler guidance.
3. Make the answer easy to retrieve
- Answer the main question early. Give a direct, qualified response before expanding into background.
- Use descriptive headings. Each section should answer a recognisable sub-question.
- Keep related evidence together. Place the claim, method, date, limitation and source in the same section.
- Use precise language. Replace vague superlatives with named criteria, numbers or observable facts.
- Add a clear scope. State who the guidance is for, what it covers and where it does not apply.
4. Publish information worth citing
- Add original measurements, examples, screenshots, templates or decision frameworks.
- Explain the method behind any dataset or experiment.
- Show dates and sample sizes where recency or scale affects the conclusion.
- Separate direct observation from interpretation.
- Link factual claims to the closest available primary source.
- Correct material errors visibly and maintain an update history for important resources.
A polished summary of information already available elsewhere gives a system little reason to select your page as a supporting source. Distinctive, checkable information creates a stronger citation case.
5. Clarify entities and authorship
- Use consistent names for the organisation, product, people and concepts discussed.
- Provide a useful author page with relevant experience and links to other work.
- Explain the relationship between the publisher, author, reviewer and any commercial partner.
- Keep organisation details consistent across the site and authoritative external profiles.
- Use descriptive internal anchor text to connect definitions, methods, evidence and case studies.
6. Use structured data accurately
- Choose schema types that match the visible page and its primary purpose.
- Keep titles, authors, dates and other marked-up facts consistent with the page.
- Validate the implementation after template or plugin changes.
- Do not add FAQ, review or organisation claims that users cannot see and verify.
Structured data can help machines understand a page, but it is not a citation switch. Google states that no special schema is required for its AI features and that structured data should match visible content in its AI features guidance.
7. Build a connected evidence trail
- Link this page to a relevant topic hub and at least one supporting guide.
- Link claims to original research, documentation or datasets.
- Remove orphan pages and repair broken internal links.
- Avoid publishing several pages that answer the same intent with minor wording changes.
- Use breadcrumbs and predictable information architecture.
8. Measure changes without overclaiming
- Change a limited number of variables at a time.
- Keep a dated change log.
- Repeat the same prompt set on a defined schedule.
- Compare citations with Search Console, analytics and conversion data.
- Report volatility, missing data and alternative explanations.
Google currently includes traffic from its AI features within the normal Web performance reporting in Search Console. That makes analytics and a separate citation log important when you need a more specific view.
A 30-minute GEO review
- Open the page on mobile and confirm the main answer is visible.
- Check status, canonical, robots directives and internal links.
- Read only the heading structure and ask whether it still communicates the argument.
- Identify every factual claim that needs a source, date or limitation.
- Mark information that is genuinely original to your organisation.
- Validate structured data against the visible content.
- Record the current prompt-test and analytics baseline before editing.
What to do next
Start with the complete GEO guide, compare the roles of AEO, GEO and SEO, then use the AEO content audit to prioritise individual page improvements.