If you rank well on Google, you might assume Gemini would naturally surface your brand. We dig into why that’s not the case in our Gemini tracking guide:
Gemini, AI Overviews, and AI Mode all share Google infrastructure, but overlap in cited domains can still be low
Gemini uses a classifier to decide whether a query even needs live retrieval, often making your fresher content invisible
Model upgrades can reset citation patterns overnight, so historical trends only make sense as shifting distributions, not fixed positions.
Do you track Gemini separately from AI Overviews — or are you bundling all Google AI surfaces together?
(Wondering if the distinction actually matters in practice, or if it’s overkill for smaller teams)
Still bundling, team of two, so we can’t afford to triple the tracking workload.
The classifier thing is what worries me most. We published a really solid comparison page last month, shows up in AI Overviews within days, but Gemini standalone just… doesn’t trigger search for that query at all. Gives a parametric answer that doesn’t mention us.
So we’re technically “visible in Google AI” but only on one surface. Not sure how to even fix that.
The classifier part is the hardest to fix, but there’s more at play even when Gemini does trigger search. It decomposes queries into sub-queries, so one strong page might not be enough – it needs supporting content covering the subtopics.
Schema markup (FAQPage, Organization, HowTo) also carries more weight here than in AIO, and Gemini leans harder on Google-native sources like YouTube and Business Profile.
If AIO already cites you, the content quality is probably fine, the gap is likely topic breadth + structured data + entity signals across Google properties.
