How does Gemini cite brands?

Gemini, Google's conversational AI assistant, cites brands differently from every other major AI engine: it references a brand's own website less often, and it leans on marketplaces, retailers, and competing brand sites instead. In Cited's analysis across the Indian brands it tracks, Gemini reaches for a brand's own domain less often than ChatGPT, Perplexity, or Google AI Overviews do on the same prompts, and its outside sourcing is the most thinly spread of any engine measured. Gemini draws heavily on Google's search index and structured entity data, so a brand's visibility there depends as much on its presence across third-party commerce and category sources as on its own pages.

How Gemini retrieves and cites

Gemini is built on Google's search infrastructure. It draws on the same index that powers Google Search, plus the structured entity data (the Knowledge Graph, product feeds, and schema-marked pages) that Google has spent years building. When Gemini answers a question about a category or a brand, it assembles the response from the sources that index ranks and trusts.

This is why strong Google SEO performance correlates more directly with Gemini visibility than with any other AI engine. A brand that ranks well in Google Search, has clean structured data, and appears across the retail and comparison sites Google indexes is more likely to surface in Gemini answers. A brand that is invisible in Google Search will usually be invisible in Gemini too.

What Cited's data shows about Gemini

Cited tracks how a set of brands are cited across five AI engines on the same prompts, which makes the differences between engines directly comparable. The brands here are Indian companies across D2C, retail, finance, edtech, and SaaS, measured on each brand's own prompt set run identically on every engine over a 90-day window. Two patterns stand out for Gemini.

The first is how thinly Gemini spreads its outside sourcing. Counting external citations only, meaning every cited source other than the brand's own domain, each engine's single largest outside source takes this share of its external citations:

Gemini sits at the bottom, and the gap is large. Where ChatGPT funnels a sixth of its external citations into Reddit, Gemini's biggest single source accounts for one fiftieth. There is no dominant outside source in Gemini's mix, only a long tail of marketplaces, retailers, and competing brand sites.

The second pattern is where Gemini goes instead. In per-engine source breakdowns, a brand's Gemini citations concentrate on shopping and retail domains, large marketplaces, and other brands competing in the same category. Its most-cited external domain across the brands Cited tracks is a fashion marketplace, and competing brand sites appear high in the same list. Social and community sources that dominate other engines, video platforms, discussion forums, and image-sharing networks, appear far less in Gemini's top-cited sources. Gemini reads a brand's category the way Google's shopping and entity data describes it, not the way social conversation does.

What Gemini favours

Because Gemini leans on Google's index and structured data, the levers that improve Gemini visibility are the ones Google already rewards, extended to the third-party surfaces Gemini cites.

Clean structured data is the foundation. Product schema, organization markup, and accurate entity information help Gemini understand what a brand is and cite it correctly. Gemini favours well-structured, machine-readable information over prose.

Marketplace and retailer presence is the second lever, and it is easy to underestimate. Since Gemini reaches for a brand's own site less readily than the other engines do, the retailer listings, marketplace pages, and category comparison sites that Gemini does cite become part of the brand's visibility surface. A brand absent from those sources cedes them to competitors.

Category and comparison content is the third. Gemini frequently cites pages that compare or list options in a category. Being represented accurately on the sites that publish those comparisons feeds directly into Gemini answers.

How Gemini differs from the other engines

The contrast with the rest is the useful part. ChatGPT and Perplexity lean more on social and community sources and cite the brand's own site more often than Gemini does. Google AI Overviews, despite sharing Google's index, blends in far more social and video content. Gemini is the most commerce-anchored of the group.

For a brand, that means Gemini visibility is won less on your own pages and more across the retail, marketplace, and category ecosystem Google indexes, on top of the structured-data foundation that makes your brand legible to Google in the first place.

For Indian brands specifically, this shape has a direct consequence. Indian categories are crowded with marketplaces and vertical aggregators across fashion, beauty, pharmacy, and electronics, and Gemini leans on exactly those sources. A brand well represented across the Indian marketplaces and category sites in its space will surface in more Gemini answers than one relying on its own website alone. See AI visibility for D2C brands in India for the wider India picture.