Track Your Brand in Google Gemini

Most AI tracking discussions start with ChatGPT, but the largest AI surface by daily active users is Google. Gemini is what shows up at the top of Google Search results as AI Overviews, what summarises threads in Gmail, what drafts the slide in Google Slides, and what answers questions on every Pixel and many Android devices. If buyers don't see your brand in Gemini, they may not see it at all.

Gemini is also unusual in that the same brand prompt can be answered by very different models depending on the surface: Workspace tends to use Pro, the mobile Gemini app skews to Flash, AI Overviews use grounded variants. Livesov tracks all of them so you don't mistake a Pro-only win for an AI Overviews win.

AI Overviews changed Google search forever

When Google rolled out AI Overviews globally, click-through rates for traditional organic results dropped meaningfully on the queries where AI Overviews appear. The answer at the top of the page is now generated by Gemini — and if your brand isn't in that answer, you can rank #1 organically and still lose the click.

Worse, the AI Overview is not deterministic. Two users searching the same query may see different summaries, different cited brands, and different competitor mentions. Sampling AI Overviews once is misleading. You need continuous, multi-run measurement — which is exactly what Livesov was built for.

How Gemini chooses what to say

Gemini blends three input streams: its training corpus (web pages, books, code, licensed data up to its cutoff), Google's real-time search index (for grounded and AI Overview responses), and the system instructions Google ships per product surface (which differ between Search, Workspace, and the Gemini app).

Because Gemini grounds on Google's own search results in many surfaces, strong traditional SEO is a necessary-but-not-sufficient input. The brands that win Gemini are the ones that combine high search visibility with the structural signals Gemini actually quotes: clear headings, short scannable answers, schema markup, fresh timestamps, and citation-friendly attribution.

Sentiment in Gemini — and why generic models miss it

Gemini tends to write balanced, list-style answers. Generic sentiment models treat those as neutral, which buries the actual signal. Livesov's sentiment analysis is tuned to Gemini's answer style — it surfaces stance, comparative framing, and the implicit recommendation Gemini is making, not just polarity.

From measurement to action

Use Livesov to identify the AI Overviews prompts where your brand is missing or losing position. Run a free GEO audit on the pages Gemini actually cites. Improve them. Re-measure in the next monitoring cycle. The full framework lives in our GEO optimization guide — but the core loop is measure → fix → re-measure, weekly.