How to Get Cited by Google Gemini
Gemini leans on forums and roundups and mentions brands far more than it links them — here's how to close that gap for yours.
To get cited by Gemini, make sure Google's crawlers can reach and understand your pages, then win mentions on the forums, review sites and roundup posts it already leans on heavily, since Gemini cites more sources per answer than ChatGPT or Claude and pulls many of them from exactly those pages, not yours.
That is the Gemini-specific version of AI search optimization. The underlying strategy is the same across engines; what follows is what makes this one different.
On this page
How many sources does Gemini actually cite?
More than most. A study tracking over 13,000 AI citations found Gemini's average answer cites noticeably more sources than ChatGPT's, and leans on a wider spread of domains to do it [1]. That is not necessarily good news for a single brand chasing one of the slots.
More slots sounds like better odds, but the same tracking data shows Gemini spreading those citations across forums, comparison roundups and third-party listicles rather than concentrating them on official pages. A wider net catches more mentions of your competitors too, and it catches them from pages you do not control.
The practical read: do not treat "Gemini cites more" as an easier bar. It is a different bar, made mostly of other people's pages talking about your category, and the work shifts from perfecting your own page to making sure the right third-party pages know you exist.
There is also a data quirk worth knowing before you read too much into any single answer. The same study notes that Gemini sometimes surfaces only the domain it drew from rather than the exact page, which means a "citation" here can be coarser than a clean, clickable URL. Treat any single answer as a rough signal, not a precise audit, and look at the pattern across many runs instead.
Why does it mention brands more than it links them?
Because naming a brand in an answer and citing a page for that brand are two different acts, and Gemini keeps them separate more than most assistants do. The tracking study found Gemini mentioned a brand in about seven out of ten answers, but only linked a page for that brand around four times in ten [1].
| Assistant | Mentioned | Cited | Gap |
|---|---|---|---|
| ChatGPT | 56% | 47% | 9 points |
| Perplexity | 67% | 44% | 23 points |
| Claude | 70% | 40% | 30 points |
| Gemini | 72% | 41% | 31 points |
31-point gap
Gemini has the widest gap on that table. It talks about brands freely from what it has read elsewhere, and only sometimes reaches for a URL to back the claim up. That means brand awareness work — the kind that gets you mentioned on other people's pages — pays off here even when it never produces a link back to you.
Do not read that as permission to ignore citations, though. A mention with no link still helps someone recognise your name later, but it does nothing for the traffic, trust signal or measurable outcome a citation gives you. The goal is closing the gap, not making peace with it.
What kind of pages does it pull from?
Forums and roundups, more than any other major assistant. The same tracking data found Gemini leaning on Reddit threads and listicle-style comparison posts for a large share of its citations, a pattern that does not show up nearly as strongly for ChatGPT, which favours primary documentation instead [1].
That changes where the effort goes. A page written to sell is not what gets picked up here; a thread or article that already ranks for your category, and that names your brand alongside the others worth considering, is.
This is uncomfortable for a lot of B2B marketing plans, because it means some of the highest-leverage work is not on your own domain at all. A well-placed answer in an existing thread, or a mention earned in someone else's comparison post, can outperform another blog post your own site publishes. Budget and headcount for that work the same way you would for content on your own site, because it is doing the same job.
Find the roundups that already rank
Search your own category comparison terms and see which "best X for Y" posts and forum threads come up. Those are the pages Gemini is already reading.
Ask to be included on the merits
Email the author with what makes your product a legitimate fit for the list, not a pitch. A one-line factual case gets a yes far more often than a sales email.
Answer the actual threads
Where a real question about your category is being discussed and unanswered well, a specific, non-promotional answer that happens to name your product is worth more than a dozen generic comments.
Keep your own pages crawlable regardless
None of the above replaces the basics. Gemini still needs to be able to reach and read your site for the smaller share of citations that do come from it.
How does Gemini's grounding actually work?
By searching. Google's own documentation describes Gemini's grounding feature as running a Google Search query behind the scenes and building the answer from what comes back, rather than working from a separate index [2]. That single fact changes what "optimizing for Gemini" really means, and it is worth sitting with for a moment because it contradicts a lot of the advice circulating about "training a model to know your brand."
You cannot train grounding the way you might imagine training a model's parameters. There is no dataset to submit and no fine-tuning step to request. The only lever available is the same one that has always existed for Google Search: be a page worth returning for the query, in a form the crawler can actually read.
It means the floor under this whole guide is ordinary technical SEO. If Googlebot cannot crawl a page, or the page is not indexed, grounding cannot surface it either — there is no separate Gemini crawler to appeal to instead, only the one list Google already publishes [4].
Google's guidance on AI features in Search also applies here in practice: there is no special markup or opt-in for being grounded, and the same ranking systems and content-quality standards that govern normal results govern what grounding pulls from [3].
Structured data will not force a citation, but it removes ambiguity that can cost you one. A page that clearly marks up its own organisation, author and product details gives grounding fewer reasons to reach for a secondary source to fill in a gap your own page left open. Treat it as a floor to clear, not a lever to pull.
Should you actually build a Reddit and forum presence?
Selectively, yes — but only where a real buying question is already being asked there. Building a forum presence from scratch to chase a citation is slow and rarely pays back for a B2B brand; showing up honestly in threads that already exist and already rank is a much smaller lift.
I would never tell a client to go build a Reddit following for its own sake. I would tell them to find the three threads already ranking for their category and answer the ones nobody has answered well yet.
Treat it as a scouting exercise before a content one. If your category has no forum threads worth answering, spend the hour on a comparison page or a listing profile instead — see what actually moves AI citation rates for where forum work ranks against the rest.
How do you know if it's working?
Track it over weeks, not conversations. Ask the same twenty to forty buyer questions on a fixed schedule and log two numbers each time: whether Gemini named you, and whether it linked a page. The gap between those two numbers is the thing to watch, not either one alone.
If the gap stays wide after a quarter of forum and roundup work, that is a real signal — it means the mentions are not converting into citations, and the fix is usually a page of your own worth linking to, not more mentions elsewhere. The Copilot guide covers the same measurement approach for Microsoft's assistant, which pulls from a different index entirely.
Write down the three or four pages that actually got linked when the gap did close. In our experience those are rarely the homepage — they are a specific comparison page, a pricing page with real numbers on it, or a help article that answers one question completely. That pattern tells you what to build more of far better than the raw citation count does.
If crawlability is still an open question for your site, our GEO audit checks exactly that before anything else.
Questions people also ask
Does Gemini use a different crawler than Google Search?
Gemini's grounding feature draws on the same Google Search index that ranking uses, and Google publishes one list of crawlers rather than a separate one for Gemini. Keeping Googlebot unblocked keeps you eligible for both.
Is Reddit worth the effort just for Gemini citations?
It depends on your category. Gemini leans on forums and roundups more than ChatGPT or Claude do, so a thread that ranks for your topic is a real citation source — but chasing it instead of your own pages is the wrong trade for most B2B brands.
Why does Gemini name my brand but never link to my site?
Gemini has the widest gap of the major assistants between mentioning a brand in the answer text and citing a page for it. It read about you somewhere, usually a forum or roundup, without needing your own page to back up the claim.
How is this different from ranking in Google AI Overviews?
Related but not identical. AI Overviews sits inside Google Search results; Gemini is a separate assistant and app that also grounds its answers in Search. The crawler and indexing requirements overlap almost completely, which is covered in the AI Overviews guide.
Sources
- I tracked 13,184 AI citations across 4 LLMs: here's what I learned — Orbit Media Studios (checked 23 September 2026)
- Grounding with Google Search — Google AI for Developers (checked 23 September 2026)
- AI features and your website — Google Search Central (checked 23 September 2026)
- Google's common crawlers — Google Search Central (checked 23 September 2026)
Find out what's blocking Gemini from citing your pages
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Who wrote this
Ibrahem HelalCo-founder
Leads strategy and delivery.
Works on: SEO, GEO
Reviewed before publishing by Jeremy Zava, Co-founder.
- AI search optimization: the 2026 guideHow to get cited by ChatGPT, Gemini, Perplexity, Claude, Copilot and Google's AI features: crawler access, citable pages, third-party proof and measurement.
- How to Get Cited by Microsoft CopilotCopilot's answers are grounded in Bing's index, so the fastest way in is Bing Webmaster Tools and a robots.txt that names Bing's crawlers explicitly.
- How to Rank in Google AI OverviewsAI Overviews draw on the same index and ranking systems as regular Search results, so the fastest way in is fixing what already keeps you out of the top ten.
- The AI crawlers list: every bot to knowGPTBot, ClaudeBot, PerplexityBot, Google-Extended and more: what each AI crawler does, what blocking it costs you, and how to check your rules.