Its official guide, Optimizing your website for generative AI features on Google Search, was updated on 10 July 2026. The guidance cuts through much of the speculation around Generative Engine Optimisation, or GEO, and Answer Engine Optimisation, or AEO.
Google’s message is straightforward. Visibility in generative AI search is built on strong SEO foundations, useful original content, accurate business information, genuine public authority and ongoing measurement. There is no special markup or shortcut that guarantees inclusion.
Google’s guidance brings generative AI search back to five practical foundations.
GEO is part of search strategy
Google treats GEO and AEO as extensions of SEO because AI Overviews and AI Mode still rely on its core search-ranking and quality systems. A technically sound, crawlable website remains essential. So do original expertise, clear structure and information that people genuinely find useful.
The guidance also warns against tactics that promise quick wins. Google says businesses do not need special AI files, excessively “chunked” pages, content rewritten solely for AI systems, artificial mentions or new schema created specifically for generative search.
For marketers, that is helpful. The fundamentals have not disappeared. What has changed is the way people discover and evaluate brands.
The gap between good practice and actual visibility
Knowing what Google recommends does not tell a marketing team whether its work is translating into AI visibility. The operational questions are more specific:
- Does AI mention or recommend our brand for the questions customers ask?
- How does AI describe our business, products and strengths?
- Which competitors appear when we do not?
- Which websites, articles and sources shape the answer?
- What should we improve first?
- Are those improvements changing the result over time?
This is where Visibiliti.ai adds a practical measurement layer. It does not replace SEO or Google Search Console. It shows how a brand is currently understood, mentioned, cited and recommended across the AI platforms customers use.
Measure the questions customers actually ask
Traditional search tools report keywords, rankings, impressions and clicks. AI discovery is more conversational. A customer may ask, “Which platform would suit my business?”, “What are the best providers in this category?” or “Which company is strongest for this particular need?”
Visibiliti.ai tests relevant prompts and records whether the brand appears, how it is positioned and which competitors are mentioned instead. This gives marketers a view of the decision journey before a customer reaches a website.
A Visibiliti summary brings together mentions, recommendations, share of voice and average position.
Track change instead of taking a once off snapshot
AI-generated answers are not static. They can change as models are updated, new information is published, stronger sources emerge and competitors improve their digital presence.
A single audit establishes a baseline. Recurring reports and tracked phrases show whether the brand’s position is improving or declining. This creates a useful feedback loop: measure, improve and measure again.
That approach is more credible than promising a guaranteed ranking. No external platform has access to Google’s internal ranking or AI systems, and no responsible provider can guarantee permanent inclusion in an AI-generated answer.
Understand which sources shape the answer
AI systems do not learn about a brand from its website alone. Public articles, reviews, directories, comparison pages, partner websites, videos, forums and expert commentary can all influence how a business is understood.
Source and citation analysis helps marketers investigate why a competitor may be recommended more often. A company may discover that:
- competitors appear in more credible comparison articles;
- third-party websites use outdated or inconsistent descriptions;
- important product or service information is unclear;
- the brand is not strongly associated with the questions customers ask; or
- its best content is not being cited in AI answers.
That turns an abstract visibility problem into practical work for content, public relations, SEO and brand teams.
Use competitor visibility to sharpen positioning
A business needs to know more than whether it appears. It also needs to understand who appears when it does not.
Visibiliti.ai shows which competitors are mentioned or recommended for relevant prompts. Marketers can then examine the questions where those competitors are strongest, the attributes AI associates with them and the sources supporting their visibility.
The aim is not to copy a competitor. It is to see where the market understands the competitor more clearly, then improve the company’s own evidence, content and positioning.
Use Search Console and independent AI monitoring together
Google’s Generative AI performance reports in Search Console show how URLs appear within Google’s generative search experiences, including AI Overviews and AI Mode. As of 31 August 2026, Google says those insights are available to websites worldwide.
Search Console should remain part of the measurement toolkit. Its view is first-party and Google-specific. Independent monitoring adds a broader picture across platforms such as ChatGPT, Gemini, Perplexity and Claude, while also analysing brand descriptions, recommendations, competitors and cited sources.
Where Visibiliti fits
Visibiliti.ai is best positioned as an AI visibility intelligence and prioritisation platform. It works alongside technical SEO, Search Console, content strategy, public relations, brand management and digital communications.
Its role is to help teams see where the brand stands, understand what may be influencing the result and decide what to work on next.
A repeatable measurement cycle turns broad guidance into focused action.
A practical starting point
Businesses do not need to begin with a complex implementation. They can start by auditing the prompts that matter to their customers, establishing a baseline and identifying the clearest gaps in brand understanding, content and public authority.
Google has clarified the foundations. The next task is to measure how those foundations translate into real AI answers across the platforms customers use.
The practical question is simple: what does AI currently understand about our brand, and what should we improve next?
