Technical accessibility
Crawlable pages, clean indexing signals, useful metadata and content available without fragile rendering dependencies.
Visible2 Knowledge Center
AI SEO
AI SEO is the practice of improving a website and its wider digital presence so search engines and AI systems can discover, understand and use its information accurately.
What is AI SEO?
AI SEO is the practice of improving a website and its wider digital presence so search engines and AI systems can discover, understand and use its information accurately.
The strongest AI SEO work starts with ordinary technical and content quality, then adds entity clarity, answer-focused content, corroboration and measurement. It is not a replacement for SEO and it does not require invented “AI-only” markup.
What AI SEO includes
Entity optimization
Consistent organization, people, service and location information across the site and trusted external profiles.
Answer-focused content
Pages built around real customer questions, definitions, comparisons and decision criteria.
Corroboration
Independent references and consistent mentions that help machines verify claims.
Measurement
Tracking both search performance and observed AI mentions rather than treating either as a proxy for the other.
AI SEO vs traditional SEO
They share the same foundation: useful content, accessibility, authority and clarity. AI SEO places more emphasis on entity resolution, quotable answers, corroboration and whether a system synthesising an answer selects the business.
Where GEO and AEO fit
Generative Engine Optimization and Answer Engine Optimization describe overlapping parts of the same problem. Visible2 uses “AI visibility” as the outcome because it is clearer for businesses: can the systems understand you, and do they actually surface you?
Google's 2026 position on AI SEO is unusually clear
Google says its generative AI features are rooted in core Search ranking and quality systems and that SEO best practices remain foundational. It explicitly describes GEO and AEO as “still SEO” from Google's perspective.
Its current priorities are not exotic: clear technical structure, unique and non-commodity content, useful media, good page experience, reduced duplication and measurement in Search Console. Google also warns against creating pages for every possible query variation and says no special structured data is required for generative AI features.
AI SEO priority order
1. Technical SEO
Indexability, canonicals, crawl access, metadata, internal linking and stable performance.
2. Original expertise
First-hand examples, research, case studies and decisions that cannot be reproduced by summarizing the same public sources.
3. Entity clarity
One brand identity, accurate people and service relationships, and consistent external profiles.
4. Corroboration
Earned mentions, video, communities, directories and editorial sources that describe the business accurately.
5. Measurement
Search Console for Google and repeated buyer-question testing for assistant recommendations.
What should I do next?
Start with evidence. Run the free Visible2 scan to check whether the website foundations are in place. If the site is ready, move to repeated measurement of the buyer questions that matter rather than making speculative changes.
Related evidence
Go deeper on this topic
Supporting guides, case studies and measurement notes from the Visible2 Knowledge Center.
AI visibility and SEO: what actually differs, and what does not
The overlap is real and most of the industry overstates the difference. Here is the honest version.
Entity SEO for AI search: clarity before cleverness
Structured data can make relationships explicit. It cannot manufacture authority or guarantee citations.
Brand mentions and AI visibility: what the 75,000-brand data actually says
The correlation is strong, the caveat matters, and “mentions are the new backlinks” is still too simplistic.
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