AEO/GEO Landing Page Audit: What Google and ChatGPT Actually Need
Audit a landing page for AI search visibility without chasing unsupported hacks: crawl access, indexability, useful answers, original evidence, accessibility, and measurement.
AEO and GEO advice often starts with new terminology and ends with familiar SEO work. The danger is treating AI visibility as a separate set of tricks while the page remains hard to crawl, vague, unsupported, or difficult to use.
Google's official guide for generative AI features says SEO best practices remain relevant and warns that many suggested AEO/GEO hacks are not supported by how Search works. OpenAI's publisher guidance likewise starts with crawl access, index controls, and accessible page structure.
A landing page still has an additional job: convert the visitor after discovery. That means the audit must connect search readiness with a clear offer, useful answers, evidence worth citing, and an interaction path people and agents can understand.
This checklist focuses on what current primary guidance supports rather than promising placement in any AI answer.
Start with SEO foundations, not an AEO hack list
Google explains that its generative AI search features draw on core Search ranking and quality systems. Pages still need to be discoverable, indexable, relevant, useful, and technically accessible.
There is no supported special file, schema type, or keyword pattern that guarantees inclusion in an AI-generated response. Structured data can help Search understand content when it accurately represents what is visible, but it does not replace useful page content.
For a landing page, start with the title, description, canonical, headings, internal links, visible product information, and a clear relationship between the query and the offer.
- Public, indexable page with an intentional canonical URL.
- Descriptive title, heading structure, and visible page purpose.
- Useful content available without hidden or broken rendering.
- Structured data only where it matches visible facts.
Fix
Repair ordinary crawl, index, content, and page-quality issues before creating an AEO-specific backlog.
The SEO versus conversion audit guide explains why search visibility and page persuasion must work together without becoming the same score.
Connect SEO and conversion auditsAudit crawl and index controls for each discovery system
A crawler that is blocked from accessing a page cannot read its full content to create a summary or snippet. The URL may still surface as a title and link through third-party discovery, so review robots.txt, page-level robots directives, authentication, firewall behavior, rendering, canonicalization, and redirect chains on the exact landing-page URL.
OpenAI says publishers who want content discoverable and citable in ChatGPT search should allow OAI-SearchBot. It also distinguishes that search crawler from GPTBot, which publishers can disallow when they do not want content used for potential training.
Do not copy a crawler policy without understanding the business choice. Search inclusion, model training, agent interaction, and user access are different controls and may evolve.
- Robots.txt does not unintentionally block desired search crawlers.
- Noindex and canonical directives reflect the intended public URL.
- The page returns useful content to supported crawlers and browsers.
- Search access and training preferences are configured separately.
Fix
Document the purpose of each crawler rule and verify the public response after changing it.
Make the page answer the buyer's real questions clearly
Answer-ready content is not a block of artificial questions added for machines. It is a page where a reader can identify the product, audience, outcome, constraints, pricing or buying path, and evidence without reconstructing the meaning from slogans.
Use descriptive headings, concise definitions, comparison context, FAQs, and tables only when they help the visitor. Important facts should appear in visible text rather than only inside an image, animation, or interaction that may be difficult to parse.
The landing-page structure should remain conversion-focused. A long glossary that delays the offer is not an improvement merely because it creates more extractable sentences.
- Clear statement of what the product is and who it serves.
- Direct answers about use, setup, price, limits, and risk.
- Descriptive section headings and meaningful link text.
- Visible text for facts shown in media or interface examples.
Fix
Answer the questions that reduce buyer uncertainty, then structure those answers so people and systems can locate them.
The anatomy guide explains the job of each landing-page section and how structure should support the visitor's decision.
Review landing page structureGive search systems and buyers evidence worth citing
Google's generative AI optimization guidance emphasizes valuable, unique, non-commodity content. For a landing page, that can include original product details, transparent methodology, first-party research, named documentation, public examples, clear comparisons, and claims connected to sources.
Generic benefit copy gives a system little reason to select the page and gives a buyer little reason to trust it. Originality does not require a research lab; it requires information that only the company can credibly provide.
Claim discipline matters. Distinguish measured facts, customer statements, product capabilities, forecasts, and opinions. Do not invent statistics or repeat unsupported industry numbers because they look citation-friendly.
- Specific product behavior and current limitations.
- Original examples, data, methods, or documented experience.
- Named authorship, company identity, dates, and source links.
- Claims that can be verified from the page or cited evidence.
Fix
Replace interchangeable marketing copy with accurate information your product is qualified to provide.
Audit accessibility and interaction for people and agents
Search visibility is only part of AI readiness. Agentic browsers may also need to understand and operate buttons, menus, forms, and states. OpenAI's developer guidance points to descriptive ARIA roles, labels, and states as helpful for interpreting interactive pages.
Those practices already serve people using assistive technology. Use semantic controls, associated labels, clear errors, predictable focus, descriptive button names, and text that remains available at smaller widths.
Do not add ARIA as decoration over broken markup. Native semantic elements are usually the starting point, and important actions still need manual keyboard and screen-reader-oriented checks.
- Real buttons and links for interactive actions.
- Labels, roles, names, and states that describe the control.
- Accessible error, loading, success, and disabled states.
- Mobile reflow without hidden content or blocked actions.
Fix
Make the conversion path understandable from structure and labels, not visual placement alone.
Measure referrals and outcomes without promising AI placement
No audit can guarantee that a landing page will appear in an AI-generated answer. Relevance, query context, search systems, and product behavior change. Treat the audit as readiness work, not a placement guarantee.
OpenAI notes that ChatGPT search referral URLs include a source parameter that can be tracked in analytics. Google Search Console remains the primary source for Google Search performance, while on-site events show whether discovered visitors understand and use the page.
Monitor crawl access, index status, search referrals, assisted conversions, and the questions visitors ask. Refresh dated facts and rerun the audit after product, pricing, or page-structure changes.
- Track search and AI referral sources separately where available.
- Measure useful on-site actions, not mentions alone.
- Monitor crawler rules and index directives after deployments.
- Update facts, dates, examples, and structured data together.
Fix
Measure discoverability and conversion as a chain, while remaining honest about attribution limits.
The analytics checklist shows how to instrument CTA, form, pricing, and conversion events before new traffic sources arrive.
Measure landing page outcomesAudit AI visibility readiness
Check the crawl, answer, evidence, and interaction layers together
Improve My Page adds an AEO/GEO readiness category to its conversion, SEO, performance, accessibility, security, domain, pricing, copy, and structure review so AI visibility work stays connected to the page's real buyer journey.
Run a free landing page auditSummary
| Problem | Diagnostic signal | Fix |
|---|---|---|
| The team chases unsupported AEO hacks | Special files or keyword patterns take priority over crawlability and useful content. | Start with official SEO, access, content, and page-quality guidance. |
| Desired search crawlers cannot access the page | Robots, noindex, authentication, or rendering blocks discovery. | Set intentional crawler and index controls and verify the public response. |
| The page is fluent but not citable | Claims are generic, unsupported, or hidden in media. | Publish specific first-party facts, evidence, examples, and clear visible answers. |
| Visibility is measured without business outcomes | Mentions are tracked, but useful visitor actions are not. | Connect referral monitoring to on-site conversion events and attribution caveats. |
An AEO/GEO landing page audit should not invent a second web. The supported foundation is still crawl access, indexability, useful and original content, clear structure, trustworthy evidence, and accessible interaction.
Build those conditions for people first, configure search controls intentionally, and measure what referred visitors do. That improves readiness without pretending any page can guarantee an AI citation.
FAQ
What is an AEO/GEO landing page audit?
It reviews whether a page is accessible to desired search systems, indexable, clearly structured, useful, evidence-backed, accessible, and able to convert visitors from AI-assisted discovery.
Is AEO different from SEO?
The terms describe a newer discovery context, but Google says core SEO best practices remain foundational to its generative AI features. Avoid treating AEO as a replacement for SEO.
Do I need special schema for AI Overviews?
Google does not document a special schema that guarantees inclusion. Use supported structured data only when it accurately represents visible page content.
Should I allow OAI-SearchBot?
Allow it if you want your public content eligible to be discovered and cited in ChatGPT search. Configure search access and model-training preferences as separate choices.
Can an audit guarantee a ChatGPT or Google AI citation?
No. It can identify readiness problems, but inclusion depends on query relevance and systems outside the page owner's control.
What content is useful for AI search and buyers?
Clear product facts, original evidence, direct answers, transparent limitations, helpful comparisons, accessible structure, and claims tied to credible sources help both audiences.