How to track your brand in Google Gemini

Gemini is Google's AI assistant. People use it in the Gemini app, in Chrome, on Android and inside Google Workspace. When they ask it for a tool, a vendor or a comparison, it names brands. To track yours, pick a fixed set of prompts, run them on a schedule, and record whether Gemini mentions you, where, how it describes you and which sources it cites.

This guide covers how Gemini builds an answer, how to check it by hand, what to measure and what you can do to improve the result.

How Gemini sources its answers

Gemini is a large language model. It learned from a large body of text up to a cutoff date. That gives it general knowledge about your brand if you were well covered before then. It also gives it a knowledge cutoff, so anything newer is missing unless it looks it up.

For many questions Gemini does look things up. It can use Google Search to fetch current pages and then write an answer based on them. Google calls this grounding. The model sends search queries, reads the results, and cites the pages it used. This is a form of retrieval-augmented generation.

Two things follow from this.

First, Gemini has two routes to your brand. One is memory from training. The other is live retrieval from the Google index. A brand can be strong on one and weak on the other. A new product may be invisible in memory but show up through grounding. An old brand may be remembered with outdated facts.

Second, Gemini does not always ground. Simple or well known questions may be answered from memory with no sources. Questions about prices, recent news, or "best" lists are more likely to trigger a search. You can read more about the difference in training data vs live retrieval.

Because the Google index feeds grounding, ordinary search work still matters. Pages that are crawlable, indexed and clear about what they say are the ones Gemini can use.

Choose the prompts to track

Start with 20 to 50 prompts. Write them the way a buyer would ask, not the way a marketer would.

Use a mix:

• Category prompts: "What are the best project management tools for small agencies?"
• Comparison prompts: "Compare Tool A and Tool B for a team of ten."
• Problem prompts: "How do I reduce churn in a subscription app?"
• Branded prompts: "What is Pineprompt and who is it for?"

Keep branded and non-branded prompts separate in your records. Branded prompts show what Gemini believes about you. Non-branded prompts show whether you are found by people who do not know you yet.

Freeze the wording. If you change a prompt, you lose the trend. Add new prompts as new rows, not edits.

Check Gemini manually

A manual check is enough to start.

1. Open Gemini in a private window, signed out if you can. Signed-in history and personalisation can shape answers.
2. Paste one prompt. Start a new chat for each prompt so earlier turns do not leak in.
3. Record the date, the model version shown in the app, and the prompt.
4. Copy the full answer into a sheet.
5. Note whether your brand appears, at what position in any list, and how it is described.
6. Open the source links, if any, and record the domains.
7. Run the same prompt three times. Answers vary, so one run is an anecdote.

Do this for each prompt, then repeat weekly. It takes time. Twenty prompts at three runs each is sixty answers, and that is one snapshot.

Also check the free app against the paid tiers if your buyers use both, and check the different model options. They can behave differently. Record which one you used every time.

What to measure

Five measures cover most of what you need.

Mentions. The share of runs in which your brand is named at all. Call it brand mention rate. It is the base number. If it is zero, nothing else matters yet.

Position. Where you appear in a list or recommendation. First place carries more weight than fifth. See position in answer.

Sentiment. Whether the wording is positive, neutral or negative, and whether it is accurate. Record wrong claims too. A confident false statement is a brand hallucination and it needs a fix.

Citations. Which URLs Gemini links when it grounds. Track your own pages and third party pages separately. Note the difference between being mentioned and being cited. A mention with no link still shapes opinion. A citation sends traffic and shows which of your pages the model trusts.

Share of voice. Your mentions divided by all brand mentions across your prompt set, compared with named competitors. It puts your number in context. See share of voice in AI.

Report each as an average across repeated runs, not a single result. Expect answer volatility. A move of a few points week to week is usually noise. A steady change over a month is a signal.

Where manual tracking breaks down

The method works, but it does not scale. Sixty answers a week is already an hour or more of copying and reading. Add competitors, more prompts, other regions and other engines, and it stops being practical. Sheets also lose detail: the source list, the exact wording, the model version.

Most brands also need to look beyond Gemini. Buyers use several assistants, and they disagree with each other. Pineprompt tracks 8 engines daily on every plan, including Gemini, and stores the answers, mentions, position, sentiment and citations for each run. The Gemini visibility tracker page shows what that looks like. There is no free trial. Plans are on the pricing page.

How to improve your visibility in Gemini

Tracking only helps if you act on it. These steps map to the two routes described above.

Fix what the index can see. Grounding uses Google Search. Make sure your key pages are indexed, load fast, and state plainly what you do, who it is for and how it compares. Do not block Googlebot. Note that the Google-Extended token controls use of your content for Gemini training, and does not affect Search crawling. Decide that on purpose, and check your robots.txt.

Write pages that answer the prompts. Look at the prompts where you are missing. Build a page for each real question: a comparison, a use case, a pricing explainer. Put the direct answer first, then the detail. Gemini tends to pull from pages that state facts in a clean way.

Get covered by the sources it already cites. Read the citation lists from your tracking. If the same review sites, directories or forums appear again and again, those are the places to be listed and described accurately. Your own site is rarely the only source.

Be consistent about your entity. Use the same name, description and category on your site, profiles and listings. Add structured data for your organisation and products. This helps Google connect the facts to one entity.

Correct errors at the source. If Gemini repeats an outdated price or feature, find where it came from. Usually it is an old page or listing. Update it, then watch the next runs.

Be patient with memory. Training data changes slowly. Retrieval changes fast. Expect grounded answers to respond to your work within weeks, and remembered facts to lag behind model updates.

A simple weekly routine

1. Run the fixed prompt set, three runs each.
2. Update mention rate, position, sentiment, citations and share of voice.
3. List the three biggest gaps: prompts where a competitor appears and you do not.
4. Ship one page or one listing fix aimed at each gap.
5. Review after four weeks.

Keep the changes small and log them, so you can tie a movement to an action.

Summary

Gemini answers from memory and from Google Search grounding. Track it with a fixed prompt set, repeated runs and five measures: mentions, position, sentiment, citations and share of voice. Improve it by getting your pages indexed and clear, by earning coverage on the sources it cites, and by fixing wrong facts where they start. Start by hand. Move to a tool when the volume gets in the way.