- The Gemini app had 950 million monthly active users, Alphabet said in July 2026, with daily users tripling in a year.
- Blocking Google-Extended stops Google using your pages to ground Gemini app answers, but it has no effect on Google Search or AI Overviews.
- Gemini cited a source on 41% of answers in one 2026 panel, and the Gemini API put a web address in just 16 of 1,000 answers in Slate's test, so most of what it says about you carries no link.
- The Gemini API returns the exact Google queries the model ran (
webSearchQueries), which is the cleanest public view of fan-out for any engine. - Gemini's share of AI referral sessions rose from 2.4% to 10.6% in Goodie's panel between mid-2025 and spring 2026.
What does it mean to rank in Gemini?
To rank in Gemini is to be the brand, place, product or page it names when someone asks it something in your category. In practice that's three different outcomes: a link in the Sources panel, a mention in the text with no link, or a card for a place or product. The work behind each is different, which is why generic "Gemini SEO" advice tends to miss. The audience is large: Alphabet said in July 2026 that the Gemini app had 950 million monthly active users, with daily users tripling over the year14.
It also helps to separate the products. The Gemini app (gemini.google.com and the mobile apps) is an assistant. AI Overviews and AI Mode are features inside Google Search. They share a model family (Google made Gemini 3 the default model for AI Overviews in January 2026)9, but they're controlled and reported differently. This guide covers the app. For how every engine's retrieval compares, see how AI engines choose their sources.
How does Gemini decide what to cite and recommend?
Gemini grounds answers in Google's own data. It decides whether a search would help, runs one or more Google queries, and writes from what comes back. For places it reads Google Maps, and for products, the Shopping Graph. When it doesn't search, it answers from training.
Grounding in the Google Search index
Google's crawler documentation describes grounding for Gemini Apps as "providing content from the Google Search index to the model at prompt time to improve factuality and relevancy"1. The Gemini API's grounding documentation describes the same pattern from the developer side: "The model analyzes the prompt and determines if a Google Search can improve the answer," then generates and runs one or more queries2.
So the index is Google's, and the crawler is Googlebot. If a page isn't in Google's index, Gemini can't ground on it. That's the biggest difference from Claude (Brave) and Perplexity (its own index): for Gemini, classic Google SEO is the entry ticket.
What Google-Extended actually controls
Google-Extended is the robots.txt token that decides whether Google may use your content to train future Gemini models and to ground Gemini answers. Google's common crawlers page is explicit that it "does not impact a site's inclusion in Google Search nor is it used as a ranking signal in Google Search"1. So blocking it doesn't remove you from AI Overviews, but it does take your pages out of what the Gemini app can ground on. Many publishers blocked it to opt out of training without realizing they were opting out of Gemini app citations too.
Places and products come from Maps and the Shopping Graph
For local questions, the Gemini Help Center says the app uses "public information from Google Maps" to give addresses, websites, ratings and opening hours4. Google's developer equivalent, grounding with Google Maps, draws on a "database of over 250 million places worldwide," including reviews and photos5. For a restaurant, clinic or local service, your Google Business Profile listing is the page Gemini reads.
For products, Google said in November 2025 that the Gemini app brings "product listings, comparison tables and prices directly from Google's Shopping Graph," which holds more than 50 billion listings6. Google's Shopping Graph explainer says listings are updated through information retailers share via Google Merchant Center or post on the web7.
How sources appear in the app
When sources are available, the Gemini app shows a Sources button at the bottom of the response or inline, which opens a panel of related links. If Gemini quotes a long passage from a page, it links that page3. Many answers show no sources at all.
How often does Gemini actually link out?
Less than any other major assistant. In Slate's test of 1,000 B2B software questions, run through the API on 3 August 2026, Gemini returned 0.07 links per answer, and only 16 of 1,000 answers contained a web address, all as mentions inside the text10. The app may behave differently from the API, but a separate panel by cloro, published July 2026, also found Gemini cited a source on just 41% of answers11. In Ahrefs' study of about 15,000 prompts, only around 12% of URLs cited by ChatGPT, Gemini and Copilot ranked in Google's top 10 for the same prompt, and Ahrefs noted that "ChatGPT and Gemini, on the other hand, don't always link out"12.
| What Gemini shows | Where it comes from | What wins it |
|---|---|---|
| Sources panel link | Google Search results for the queries it ran | Ranking in Google for those sub-queries, snippet eligibility, Google-Extended allowed |
| Brand named, no link | Training data, or grounded pages that mention you | Being named on the pages Google ranks for your category, over time |
| Place card | Google Maps data | A complete, accurate Business Profile with reviews |
| Product listing or table | Shopping Graph | Merchant Center feed with current prices and attributes |
The 8-step plan to get named by Gemini
Steps 1 to 4 set up the baseline and the technical base. Steps 5 to 7 are the ongoing work. Each ends with a test.
1. Write a prompt set in four buckets
Write 30 to 40 prompts across informational ("how does freight class work"), commercial ("best TMS for a 50-truck carrier"), local ("physical therapist near Union Square open Saturday") and product questions ("waterproof hiking boots under $150"). Drop the buckets that don't apply to you. Each one is won through a different Google system, so you need to see them separately.
Done when: every prompt is tagged with a bucket, and each relevant bucket has at least eight prompts.
2. Baseline in the app, three runs per prompt
Run each prompt three times in fresh chats from an account with no history in your category, and log three things separately: links in Sources, brands named in the text, and place or product cards. Count a result only if it appears in two of three runs.
Done when: you have 90 or more runs logged with link rate, mention rate and card appearances per bucket.
3. Check Google-Extended and snippet eligibility
Open robots.txt and look for a User-agent: Google-Extended group. If it disallows your site, decide on purpose: keep the block only if opting out of Gemini training matters more to you than Gemini app citations, because the same token covers both1. Then run your money pages through URL Inspection in Search Console and search templates for nosnippet, data-nosnippet and max-snippet, which limit what Google can show from a page.
Done when: Google-Extended is either allowed or blocked by a written decision, and every money page shows "URL is on Google" with no snippet restriction.
4. See the queries Gemini actually runs
This is the step most guides skip. Run your commercial prompts through the Gemini API with the Google Search tool on, and read webSearchQueries in the response. Google describes that field as the "search queries used," useful for "understanding the model's reasoning process"2. Those are the Google searches you need to rank for, and they're often narrower than the prompt. The API isn't the app, so treat the output as a strong hint rather than a transcript.
Done when: you have a list of the sub-queries for your top 15 prompts, with your current Google position for each.
5. Rank for the sub-queries, not the prompt
Map each sub-query to a page. Where you have no page, build one; where you rank on page two, improve the page that ranks. Answer the sub-query in the first sentence under a matching heading, with a sourced number nearby, since Gemini links pages when it quotes them at length3. Run drafts through the citability grader.
Done when: each sub-query has a mapped page, and you're in Google's top 10 for at least half of them.
6. Fill in the Maps and Shopping data (if you have places or products)
For local businesses, complete the Business Profile: categories, hours, services, attributes, photos and a steady flow of reviews, since Gemini pulls ratings and hours from Maps4. For retailers, submit a Merchant Center feed with prices, availability, GTINs and the attributes buyers filter on. That's the inference from Google's descriptions; Google hasn't published a ranking order for either.
Done when: every location's profile is complete and verified, or every product in your top categories is approved in Merchant Center with no feed errors.
7. Get named on the pages Google ranks for your category
Because most Gemini answers carry no link, being mentioned matters as much as being linked. Pull the top 10 Google results for your sub-queries and note which name competitors and not you: listicles, review sites, comparison articles, trade press. Get onto them with something checkable (public pricing, a trial, a named customer).
Done when: you have the list of pages that rank for your sub-queries, marked named or not named, and outreach under way on the gaps.
8. Re-run monthly and watch referrals
Re-run the prompt set on a fixed day, compare link rate and mention rate by bucket, and check the GA4 referrals described below.
Done when: the re-run is on the calendar and the report shows this month next to last month, with run counts.
Worked example: reading Gemini's sub-queries
This is a hypothetical company, "Haulwise," a transportation management system for small trucking fleets. We haven't run these prompts; the example shows the method and the decisions it leads to, not results.
The API call. Haulwise sends its prompt to the Gemini API with Google Search grounding switched on, in the request shape Google's documentation shows2:
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:generateContent" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-H "Content-Type: application/json" \
-X POST \
-d '{
"contents": [{"parts": [{"text": "best TMS for a 50-truck carrier"}]}],
"tools": [{"google_search": {}}]
}'
It reads groundingMetadata.webSearchQueries for the sub-queries and groundingChunks for the cited pages. Google bills grounded search, so this is for a few dozen prompts, not a daily tracker.
The sheet. One row per sub-query:
prompt_id | sub_query | haulwise_google_position | ranking_url | top_3_urls | haulwise_named_on_top_3? | action
Reading it. Each pattern points to a different move:
- If the sub-queries are narrower than the prompt (say, a TMS query about fleet size and another about pricing), Haulwise needs a page for each, not one "best TMS" page.
- If Haulwise ranks top three for a sub-query and still isn't named, it checks the snippet: a
data-nosnippetwrapper or a JavaScript-loaded answer can keep the passage out of reach. - If the top three results are listicles that skip Haulwise, the move is outreach (step 7), not another rewrite of its own page.
- If Gemini names Haulwise in the app with no link, the brand is in training data or in grounded pages. Haulwise logs it as a mention and keeps working the pages that rank.
What doesn't get you into Gemini
Blocking Google-Extended "for privacy" and expecting nothing to change
It changes one thing: Gemini app grounding on your pages1. If you sell to people who ask Gemini, that's a real cost for a modest training opt-out.
Assuming AI Overviews wins carry over
They overlap, because both run on Google's index. But the Gemini app shows links far less often, adds Maps and Shopping data, and is controlled by Google-Extended, which AI Overviews ignore. Track them separately; our AI Overview tracker comparison covers that side.
New files and special markup
Google's own AI optimization guide says you don't need new machine-readable files, AI text files or special markup to appear in its generative AI search features8. That guidance is about Search, but nothing Google has published says the Gemini app treats llms.txt differently.
Manufacturing mentions
The same guide warns that "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem"8. Mentions matter because they sit on pages Google ranks, which is exactly what thin, paid placements rarely achieve.
How do you measure your visibility in Gemini?
Report three rates from your prompt set each month: link rate (runs where your URL is in Sources), mention rate (runs that name you) and card rate for places or products, each with run counts. Our guide to measuring AI visibility covers sample sizes, and our AI visibility tools comparison shows which trackers include Gemini.
For traffic, filter GA4 for sessions from gemini.google.com. Clicks from AI Overviews and AI Mode arrive as Google organic and can't be split out that way. The trend is worth watching: in Goodie's 2026 report, Gemini's share of AI referral sessions on a mostly B2B panel rose from 2.4% in May to August 2025 to 10.6% in March and April 202613. For a quick free read, the Arobis AI visibility checker shows whether AI engines name your brand for your category's questions.
How long does it take to rank in Gemini?
As long as it takes to rank in Google for the sub-queries, because that's the index Gemini grounds on. Unblocking Google-Extended or fixing a snippet restriction can show up within weeks, once Google recrawls. Business Profile and Merchant Center changes appear once Google processes them. Brand mentions in no-link answers move slowest, since they depend on other sites updating and on new model versions. Judge the work over a quarter, by bucket. The ChatGPT guide covers the engine where off-site mentions matter even more.
Frequently asked questions
Does Gemini use Google Search to answer questions?
Yes, when it decides a search would help. Google describes grounding for Gemini Apps as giving the model content from the Google Search index at prompt time. For places it also uses Google Maps data, and for products the Shopping Graph. When it doesn't search, Gemini answers from training data, and those answers carry no source links.
Does blocking Google-Extended remove my site from Gemini?
It removes your pages from what the Gemini app can ground answers on, and from future Gemini training. It does not affect Google Search, AI Overviews or rankings, according to Google's crawler documentation. If you want Gemini to cite you, keep Google-Extended allowed, or block it only after deciding the training opt-out is worth losing those citations.
Is ranking in Gemini the same as ranking in AI Overviews?
No, though they share Google's index and model family. The Gemini app is a separate assistant that links out less often, uses Maps and Shopping Graph data, and is controlled by Google-Extended. AI Overviews are a Search feature that Google-Extended doesn't touch. A page can be cited in AI Overviews and still be missing from Gemini answers.
How do I get my business recommended by Gemini?
For local businesses, complete and verify your Google Business Profile, since Gemini reads hours, ratings and websites from Google Maps. For products, keep a clean Merchant Center feed. For software and services, rank in Google for the sub-queries Gemini runs and get named on the pages that rank for them. Then track mention rate across three runs per prompt.
Why doesn't Gemini show a link to my site?
Usually because the answer didn't use search at all, or used it and showed no Sources. In Slate's API test, only 16 of 1,000 Gemini answers contained a web address, and a separate 2026 panel found sources on 41% of answers. Check whether you're named in the text, and whether Google-Extended or a nosnippet rule is blocking you.
Can I see what Gemini searched for?
Not in the consumer app, but the Gemini API returns it. With Google Search grounding enabled, the response includes a webSearchQueries field listing the queries the model ran, plus the source pages it used. The API isn't identical to the app, but it's the clearest public view of the sub-queries you need to rank for in Google.
Sources
- Google Search Central. "Google's common crawlers" (Google-Extended).
- Google AI for Developers. "Grounding with Google Search."
- Gemini Apps Help. Sources and related links in Gemini responses.
- Gemini Apps Help. Google Maps in Gemini.
- Google AI for Developers. "Grounding with Google Maps."
- Google. Gemini 3 in the Gemini app. 18 November 2025.
- Google. "4 ways Google's Shopping Graph helps you find what you want." 7 February 2023.
- Google Search Central. AI optimization guide. 2026.
- Google. AI Mode and AI Overviews updates. 27 January 2026.
- Slate. "How to get cited by ChatGPT, Perplexity, Claude and Gemini" (1,000-question study, data captured 3 August 2026). 27 August 2026.
- cloro. "State of AI Search." 6 July 2026.
- Ahrefs. "Only 12% of AI cited URLs rank in Google's top 10 for the original prompt." 11 August 2025.
- Goodie. "2026 AI search traffic report." 21 May 2026.
- Alphabet. Q2 2026 earnings remarks. 22 July 2026.
AI Ranked Editorial. "How to rank in Gemini and get named in its answers." AI Ranked, October 11, 2026. https://airanked.ai/guides/how-to-rank-in-gemini