Track your brand mentions in Gemini.

Build a stable baseline from category, comparison, alternatives, pricing, review, and problem-led questions your buyers use. Include your brand and main competitors, then track the same set in both the Gemini app and Google AI Overviews because the two surfaces can return different brands and sources.

They can. Use fresh sessions and a consistent account state for the main benchmark, then run separate location checks where regional context matters. Record those variants as distinct segments so personalization or geography does not get mistaken for a broad visibility change.

Ask it the questions your buyers ask - then keep asking, because the answers move. Google provides no brand-level reporting for Gemini or AI Overviews. Trakkr automates the loop: your prompt set runs against Gemini daily, every mention and citation is recorded, and you get alerted when something changes.

Often, yes. AI Overviews show supporting links, and Gemini app answers frequently reference sources, drawing on Google's index. That makes Gemini more inspectable than Claude, though less consistently cited than Perplexity. Trakkr records whatever sources each answer exposes, per prompt, per day.

That's exactly how Trakkr treats Gemini: one model family, two surfaces, tracked side by side. You see where each surface mentions you, where they disagree, and which one is moving. The disagreement cases are often the most actionable - they show which surface your content is reaching.

Increasingly. AI Overviews sit above traditional results, so being the brand named in the Overview captures attention before any blue link gets seen - and being absent means competitors get that attention. Tracking your Overview presence on commercial queries is becoming as fundamental as tracking rankings.

Google says Google-Extended controls listed Gemini training and grounding uses without affecting Google Search inclusion or ranking. It is a robots product token, not a separate crawler. Choose the policy that fits your content rights and distribution goals; do not treat it as a proven visibility lever.

AI Overviews can shift with the index - days, sometimes faster on news-adjacent queries. Gemini app answers blend slower model knowledge with live retrieval. In practice we see meaningful weekly movement on commercial prompts, which is why Trakkr runs daily rather than monthly.