Gemini optimisation
Appear in Google's AI answers and AI Overviews.
Gemini is Google's AI layer — and it's directly connected to the same Search index that drives organic rankings. Brands that dominate traditional SEO have a head start, but the signals that govern AI Overviews go further. Surfaceable tracks whether your brand is making the cut.
Track your Gemini visibility freeHow Gemini works
Gemini and AI Overviews: one index, two surfaces
Powered by Google Search index
Unlike independent AI models, Gemini and Google's AI Overviews draw directly from the Google Search index. Pages that are well-crawled, indexed, and ranking for relevant queries form the retrieval pool for AI-generated answers. If you're not in the index, you're not in the answer.
AI Overviews vs Gemini.google.com
AI Overviews appear inline in Google Search results for informational queries. Gemini.google.com is the standalone assistant interface. Both surface brands from the same underlying data layer — good performance in one tends to correlate with visibility in the other, though the query types differ.
Knowledge Graph integration
Google's Knowledge Graph stores facts about named entities — companies, products, people. Brands with a Knowledge Panel are already encoded as a structured entity, making them much more likely to be mentioned in Gemini responses about their category. A Knowledge Panel is a strong signal of entity authority.
Technical signals
The technical signals that drive Gemini visibility
Structured data and JSON-LD schema
Google has been the primary driver of structured data adoption for a reason — it feeds directly into Knowledge Graph entries, rich results, and now AI Overviews. Implement Organization, Product, FAQPage, and HowTo schema on relevant pages. Validate them in Google's Rich Results Test before deploying.
Core Web Vitals and page experience
Google's page experience signals — LCP, INP, CLS, HTTPS, mobile-friendliness — influence which pages are prioritised in the retrieval pool for AI Overviews. A fast, stable page on a mobile connection isn't just better UX; it's a ranking input that affects AI visibility too.
Passage-level relevance for AI Overviews
AI Overviews pull specific passages from pages, not just the page as a whole. Google uses passage indexing to evaluate individual paragraphs. Writing clear, self-contained answer paragraphs — especially in H2/H3 sections that directly address a question — increases the chance that your content is extracted and cited.
Link authority and brand signals
Traditional SEO link authority still matters for Gemini — a high-DA backlink profile signals to Google that your domain is a trusted reference. Combined with brand search volume (people searching your brand name directly), these signals tell Google your brand is worth including in AI-generated answers.
Surfaceable tracking
Track your Gemini visibility alongside traditional SEO
Because Gemini and Google's AI Overviews share the same underlying signals as traditional search, Surfaceable uniquely combines your SEO audit data with your AI visibility metrics — so you can see both in the same dashboard.
SEO health and AI score together
For Gemini specifically, your SEO audit score is a strong leading indicator of your AI visibility potential. Surfaceable shows both metrics side by side so you can prioritise the technical fixes most likely to improve Gemini mentions.
Schema validation built in
Surfaceable's SEO audit checks your JSON-LD schema for validity and completeness. Given how directly structured data feeds into Gemini's entity resolution, fixing schema errors is one of the highest-ROI actions you can take for Google AI visibility.
Prompt-level Gemini results
Set prompts that mirror the informational queries your customers ask Google — "what's the best [category] tool for [use case]" — and track whether Gemini mentions your brand. Compare your presence rate against tracked competitors to understand your position in the AI-native search landscape.
Optimise for Google Search and Gemini at once.
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