How to get cited by Gemini: a guide for B2B SaaS teams
Gemini cites a page when it grounds an answer in Google Search, so the page has to be in Google's search index before anything else. Google describes grounding as passing the model material from that index when a prompt is answered, and its privacy notice for Gemini Apps confirms that Search results sit behind some Gemini answers. Whether your indexed pages may be used that way is decided by a robots.txt token, Google-Extended. Disallow it and Google may not use your content to ground answers in Gemini Apps or to train future Gemini models, while your place in Google Search, AI Overviews included, stays as it was. So the work is to stay indexed, leave Google-Extended open unless you accept losing Gemini grounding, publish pages that answer buying questions in plain text, and check the outcome in Gemini itself, because Search Console's generative AI report counts AI Overviews and AI Mode, not the Gemini app.
The Rank Master works on Gemini for B2B SaaS teams as one of the seven engines it measures, with published pricing and no annual lock-in. Book a 30-minute call to hear what Gemini tells a buyer about your category.
Gemini is several products
Google's Gemini Apps Privacy Hub, updated on 13 October 2026, defines the term precisely. Gemini Apps means the web app at gemini.google.com and in browser sidebars, the mobile apps on Android and iOS, the Mac app, and Gemini inside Chrome, Google Messages (in some locations), Android Auto, Maps, Google Built-in and Android XR. When Google's crawler documentation talks about Gemini Apps, it links to that definition.
Google also sells Gemini models to developers, and through the Gemini API and Google Cloud an application can switch on Grounding with Google Search. A SaaS tool, internal assistant or agent built on Gemini can therefore cite web pages too.
How Gemini grounds an answer in Google Search
Google defines grounding as giving the model content from its Search index at the moment of the prompt, to make the response more factual and relevant. Its privacy notice for Gemini Apps is direct about the link: "some Gemini responses are grounded on Search results". Three consequences follow for a software company.
The index is the candidate pool. A page Google has not indexed cannot be handed to Gemini as grounding material, however useful it is. Ordinary indexing work (crawlable pages, sound canonical URLs, no stray noindex tags) is the first job for Gemini as much as for Search.
Not every answer is grounded. Google says some responses are. Its developer documentation shows the decision when Gemini is reached through the Gemini API: the model reads the prompt, decides whether a Google Search would improve the answer, and if so writes one or more search queries of its own, runs them and answers with citations attached (Grounding with Google Search, updated 13 October 2026). None of the Gemini Apps help pages we read documents that decision for the consumer app. Our expectation is that questions about current prices or named comparisons are the ones a search improves.
Deep Research starts from Search. Google's Deep Research help says Google Search is a source by default, next to optional ones such as the user's Gmail and Drive, uploaded files and NotebookLM notebooks. Gemini drafts a research plan the user can edit, and a report usually takes five to ten minutes because Gemini works through many sources. A buyer researching vendors this way gets a report whose web sources come from Google Search unless they switch it off.
One warning before you test anything: Google's help article on responses from Gemini Apps says Gemini can give a wrong account of its own workings, including how it cites sources or finds fresh information. Asking Gemini how it chooses sources is not research; test the outcomes.
Which Google control does what for Gemini
Three controls get confused, and only one of them is specific to Gemini.
| Control | What it changes for Gemini | What it leaves alone |
|---|---|---|
| Googlebot's robots.txt rules, and noindex | Indirectly, whether a page can enter or stay in the Search index that grounding draws on | Nothing: they are Search's own crawl and index controls, so they apply to Search too |
| Google-Extended token in robots.txt | Whether Google may use content it crawls from your site to train future Gemini models and to ground answers in Gemini Apps and in Grounding with Google Search on Vertex AI | Inclusion in Google Search, and ranking there |
| Search generative AI control in Search Console | Nothing Google lists for Gemini: the control covers AI Overviews, AI Mode and generative AI features in Discover | AI training, and the rest of Search |
Google-Extended is the one that matters. Google's common crawlers documentation, updated on 15 October 2026, calls it a standalone product token that governs two uses of crawled content: training future Gemini models, and grounding in Gemini Apps and in Grounding with Google Search on Vertex AI. It has no bearing on whether a site is included in Google Search, and Google does not use it to rank pages there. Google Cloud's grounding documentation, updated the same day, confirms the grounding side: Grounding with Google Search on its Gemini Enterprise Agent Platform leaves out pages that robots.txt closes to Google-Extended (Google Cloud).
One token covers training and grounding. OpenAI and Anthropic give site owners separate agents for training and for search: GPTBot and OAI-SearchBot at OpenAI, ClaudeBot and Claude-SearchBot at Anthropic. Google-Extended does not split the two, so a SaaS company that disallows it to keep its content out of Gemini training gives up grounding in Gemini Apps as well. If your robots.txt contains this group, Gemini Apps cannot ground answers in your pages, however well they rank:
User-agent: Google-Extended
Disallow: /
In our view, most SaaS marketing sites are better off without that group; the case for keeping it is content that is itself the product, such as paid research.
Nothing to find in your logs. Google-Extended has no user-agent string of its own. Google crawls with its existing agents and reads the token only as an instruction, so check the robots.txt file itself, on every host.
The Search Console control is not a Gemini switch. The Search generative AI control, rolled out to every site by 31 August 2026, lists the three features it governs: AI Overviews, AI Mode and generative AI features in Discover (Search Console help). The Gemini app is not among them. The same page says the control does not affect AI training and points to Google-Extended for limiting the training of the models behind those Search features. Google's AI features page draws the same line, sending readers to Google-Extended to limit AI training and grounding "in some of Google's other systems". Neither that page nor Google's AI optimization guide mentions the Gemini app; both are written for Search.
How Gemini shows the sources it used
In Gemini Apps. Google's help article on sources in Gemini Apps describes a Sources button, at the bottom of a response or in line within it, that opens a side panel of links. The links can point to public websites, to files the user uploaded, or to Google Workspace documents and emails if Workspace is connected, so a buyer's own files can share a list with your pricing page. When there is no Sources button, Gemini provided no links for that answer. When Gemini reproduces a long passage from a webpage word for word, that page appears in the sources list, and an image from the web is shown with its source and a link.
In applications built on Gemini. Through the Gemini API, a grounded response comes back with inline citations, each tying a stretch of the answer to a source URL, plus the search queries the model ran and a block of Google search suggestions. Google Cloud's documentation says applications using Grounding with Google Search must enable those suggestions, and it lets developers exclude domains from grounding.
Step by step: getting a B2B SaaS product cited by Gemini
Step 1: Confirm your key pages are indexed
Use the URL Inspection tool in Search Console to check that your pricing, comparison, integration and product pages are in Google's index, and request indexing for any that are not.
Step 2: Read robots.txt for a Google-Extended group
Open robots.txt on every host, including docs and help subdomains, and look for a group naming Google-Extended. If one disallows pages you want cited, settle with whoever added it whether keeping Gemini out of training is worth losing Gemini grounding.
Step 3: Publish the pages Gemini's own queries will find
Google's developer documentation says the model writes its own search queries rather than passing the question through, and we see no reason to plan differently for the app. Give each sub-question a page that answers it: pricing with plan limits, integrations, security, migration from a named rival and head-to-head comparisons, with the facts in dated text and consistent with your review-site listings. Our guide to SaaS alternatives and comparison pages covers the page types that carry most buying questions.
Step 4: Ask Gemini what your buyers ask, and open Sources
Run ten to twenty buying prompts in the Gemini app, signed in as a buyer would be, and open the Sources panel on each answer. Record whether you are named, where, and which pages are listed, and note the answers that came with no links at all. Run one Deep Research report on your category and read its sources too, and repeat the set on different days before acting on it.
Step 5: Earn mentions on the pages Gemini keeps citing
The third-party pages that recur in Gemini's sources for your category are where to earn a mention: complete review-site listings, current facts for roundup authors, honest comparisons. Our guide to getting a SaaS product recommended by AI engines covers that work across all seven engines.
Measuring Gemini
Search Console will not show it. Google's help article for the generative AI performance report lists the features it counts as AI Overviews and AI Mode on Google Search, with a separate report for Discover, and the Search Central announcement of 3 June 2026 described the same scope. Neither mentions the Gemini app. Use the report for Google's two Search features, which our guide to getting cited in AI Overviews and AI Mode covers, and measure Gemini separately. Our guide to Search Console's generative AI report sets out what the report counts and what it leaves out.
Logs show little. Google-Extended has no agent of its own and grounding draws on the Search index, so your logs cannot tell you when Gemini used a page. The exception is the Gemini Notebook fetcher, which identifies itself as Google-GeminiNotebook and requests URLs that Gemini Notebook users add as sources. Google's list of user-triggered fetchers says fetchers of that kind generally ignore robots.txt, because a user asked for the fetch.
Prompt checks and referrals carry the rest. That leaves the checks in step 4 and, in analytics, visits referred from gemini.google.com where the browser passes the referrer on. Both understate Gemini's influence, since an answer can name you without linking to you.
How this guide was researched
Every statement here about Gemini comes from Google's own pages, read on 17 October 2026: the common crawlers documentation (updated 15 October 2026) and the list of user-triggered fetchers (updated 19 August 2026); the Gemini Apps Privacy Hub (updated 13 October 2026) and the Gemini Apps help on sources, responses and Deep Research; Search Console's help on the Search generative AI control, the generative AI performance report and URL Inspection, with the announcement of 3 June 2026; the Gemini API documentation on grounding (updated 13 October 2026) and Google Cloud's equivalent (updated 15 October 2026); and Google's AI features page (updated 10 December 2025) and AI optimization guide (updated 10 July 2026). The OpenAI and Anthropic comparison comes from their crawler documentation, read the same day. Google does not document how Gemini Apps choose which results to cite, so this guide does not guess.
Questions SaaS teams ask about Gemini citations
Can a site stay out of Gemini training but still ground Gemini's answers?
Not with Google-Extended. Google documents one token for both uses, training future Gemini models and grounding in Gemini Apps, so disallowing it gives up both.
Is Gemini the same as Google's AI Mode?
No. Google documents AI Mode as a feature of Google Search, covered by the Search generative AI control and counted in Search Console. Gemini Apps sit outside that control, and Google-Extended governs their grounding. Both draw on Google's Search index, yet a page can be cited in one and missing from the other.
Does Search Console report Gemini citations?
No. The generative AI performance report counts AI Overviews and AI Mode on Google Search, with a separate report for Discover, and the Gemini app is on neither list.
Why do some Gemini answers show no sources?
Google says not every response includes sources. When there is no Sources button below an answer, Gemini provided no links for it.
Gemini sits in The Rank Master's measurement alongside ChatGPT, Perplexity, Claude, Grok, Google AI Overviews and Google AI Mode, reported together in one live dashboard and monthly report. The published plans run from $2,000 to $6,500 a month for a fixed number of revenue pages and earned citations, with custom programmes from $1,500. No one can guarantee a ranking, a citation or a mention, and The Rank Master does not offer one. Nothing publishes without your approval, and after a 90-day initial term the work runs month-to-month. Book a 30-minute call.