Gemini and Google AI Mode Rank Tracking: How to Monitor Your Brand

Gemini and Google AI Mode rank tracking means measuring how often your brand is named, linked and recommended when buyers ask Gemini or AI Mode about your category. There is no fixed position to track. You run the same buyer prompts repeatedly and record four things: mentions, citations, where you appear in the answer, and sentiment.

Key Takeaways

• Gemini (the app) and Google AI Mode are two different surfaces. AI Mode is a search experience built on the Google index; the Gemini app is a chat assistant that only sometimes shows sources.
• Google says AI Mode and AI Overviews “may use different models and techniques, so the set of responses and links they show will vary” (Google Search Central). Tracking AI Overviews does not tell you how you look in AI Mode.
• Classic rank trackers record URL positions on a results page. They cannot see whether Gemini named you, named a competitor, or described you wrongly.
• Search Console now shows AI Overviews and AI Mode impressions, but not the Gemini app, the answer text, or the competitors named.
• A fixed prompt list, several runs per prompt and a weekly cadence turn noisy answers into a usable trend.

How Are Gemini and Google AI Mode Different From Classic Google Results?

Classic Google results are a ranked list of pages. Position 3 today is usually position 3 tomorrow, and every searcher sees roughly the same list. Gemini and AI Mode write an answer instead. The answer is generated for each request, so the brands named, the order they appear in and the pages linked can change between two identical questions.

The two surfaces also work differently from each other:

	Google AI Overviews	Google AI Mode	Gemini app
Where it appears	On top of a normal results page	A separate AI search experience	gemini.google.com and the Gemini mobile app
Typical query	Short informational searches	Longer questions, comparisons, follow-ups	Open-ended chat, research, tasks
Links shown	Supporting links in the summary	Supporting links in and beside the answer	Sometimes; “Not all responses include related links or sources” (Gemini Apps Help)
Reported in Search Console	Yes (impressions)	Yes (impressions)	No
Publisher control	Search snippet controls, noindex	Search snippet controls, noindex	Google-Extended also applies to grounding

AI Mode is the one most like search. Google describes it as “particularly helpful for queries where further exploration, reasoning, or complex comparisons are needed,” and says both AI Mode and AI Overviews may use a “query fan-out” technique that runs several related searches across subtopics to build one answer (Google Search Central). In practice, a buyer question like “best SIEM for a 200-person fintech” is split into sub-searches about SIEM pricing, compliance and mid-market vendors, and your page can be pulled in by any of them.

The Gemini app is a general assistant. It draws on what the model learned in training and, for many questions, on Google Search results fetched at the moment of the question. Google’s crawler documentation describes this “grounding” in Gemini Apps as content from the Google Search index supplied to the model at prompt time, and notes that the Google-Extended robots.txt token controls it, without affecting inclusion or ranking in Google Search (Google crawler documentation). That matters if your security or legal team blocked Google-Extended: you may still appear in AI Mode while your pages are no longer used to ground Gemini app answers.

Scale is the reason to care. Google says “More than 1 billion people are using the Gemini app every month” (Google, 11 August 2026).

AI Overviews gets one paragraph here because we cover it in depth elsewhere. If AI Overviews is your main concern, read our Google AI Overview tracking tools comparison, which tests what each tracker actually shows.

What Does “Rank” Mean in Gemini and AI Mode?

Rank becomes four separate measures. Track all four, because each one moves for different reasons.

1. Mention rate. The share of runs where your brand is named at all. If you run a prompt 5 times and appear in 3 answers, your mention rate on that prompt is 60%. This is the closest thing to a ranking.
2. Citation rate. The share of runs where one of your URLs is linked as a source. You can be mentioned without being cited (the model knows your name) or cited without being recommended (your blog post is used as background for a competitor’s recommendation).
3. Position in the answer. Whether you are the first brand named, in the middle of a list, or a footnote at the end. First mention in a “best tools” answer carries more weight than fifth.
4. Sentiment and accuracy. Whether the answer recommends you, mentions you neutrally, adds a caution (“pricing can be high for small teams”), or states something false, such as an old price or a feature you dropped.

Roll these up across a prompt set and against named competitors and you get share of voice. Our guide on how to measure AI share of voice covers the formulas.

Why Do Classic Rank Trackers Miss Gemini and AI Mode?

Classic trackers were built to answer one question: which URL sits at which position for a keyword. That model breaks in three places.

• There is no stable list. An AI answer is written fresh each time. A single scrape is one sample, not a position.
• The brand is in the prose, not the URL. A tracker that looks for your domain in a list of links will report “not ranking” even when Gemini recommends you by name in the first sentence.
• Competitors are invisible. A position report shows where you are. It does not show that AI Mode recommended two competitors and described you as “a cheaper alternative.”

Search Console helps but does not close the gap. AI Mode and AI Overviews traffic is included in the Performance report under the “Web” search type (Google Search Central). In June 2026 Google added generative AI performance reports that show impressions for AI Overviews and AI Mode by page, country, device and date, and a note on the announcement says they reached all websites on 31 August 2026 (Google Search Central Blog). The report counts impressions only. It does not cover the Gemini app, show the answer text, or tell you which competitor was named instead of you.

How Do You Track Gemini and AI Mode Manually?

You can run a credible manual process in a spreadsheet. It takes a few hours a week for 20 to 30 prompts, which is why most teams switch to a tool once the prompt list grows.

Step 1. Build seed prompts from Search Console queries

Open the Search Console Performance report, filter to pages that matter for pipeline (product, comparison, pricing, solution pages) and export the queries. Look for long, question-shaped queries and comparison queries. Turn each into the way a buyer would ask an assistant:

• Query: “siem for small fintech” becomes “What is the best SIEM for a 50-person fintech company that needs SOC 2?”
• Query: “acme vs globex” becomes “Should I choose Acme or Globex for container security, and why?”

Add questions from sales calls and support tickets. Aim for 20 to 50 prompts across three groups: category (“best X for Y”), comparison (“A vs B”), and problem (“how do I fix Z”). Freeze the list. If you change the wording every week, your trend becomes noise.

Step 2. Run each prompt in both surfaces, signed out or in a clean profile

Run every prompt in AI Mode and in the Gemini app. Use a browser profile with no history, the same country and the same device type each time, because personal context and location change the answer. Record the date, surface and model version if it is shown.

Step 3. Repeat each prompt several times

Answers vary between runs, so one run proves little. Run each prompt 3 to 5 times per check and record every result. A brand that appears in 1 of 5 runs and a brand that appears in 5 of 5 look identical if you only run once.

Step 4. Log the four measures per run

Use one row per run with these columns: prompt, surface, run number, brand mentioned (yes or no), position of first mention, competitors named, your URLs cited, other domains cited, sentiment (recommend, neutral, caution, wrong), and a notes field for factual errors. Save the full answer text. You will need it when you diagnose why a competitor won.

Step 5. Review weekly and read the cited domains

Each week, compare mention rate and citation rate per prompt against the last four weeks. Then look at the “other domains cited” column. If AI Mode keeps linking the same review site, analyst page or Reddit thread on prompts you lose, that source is shaping the answer, and getting your product represented there is often faster than rewriting your own page.

This workflow mirrors the one in our Claude brand visibility guide and our Perplexity rank tracking guide, so if you track several engines you can keep one spreadsheet with a surface column.

Which Tools Track Gemini and Google AI Mode?

The table lists engine coverage as stated on each vendor’s own pricing or product page, read on 6 November 2026. Entry prices match our AI visibility tool pricing comparison unless linked otherwise. Coverage changes often, so confirm on the vendor page before buying.

Disclosure: GrackerAI publishes this guide, so weigh its placement accordingly.

Tool	Entry price	Google AI Mode	Gemini app	Notes
GrackerAI	$99/mo ($79 annual)	All plans	Enterprise	Individual: 100 prompts weekly on ChatGPT, AI Mode, AI Overviews. Team ($499/mo): 200 prompts daily on 4 engines
Peec AI	$95/mo	Yes, as one of 3 chosen models	Yes, as one of 3 chosen models	Extra models $30/mo each on Starter (Peec pricing)
Otterly.AI	$29/mo	Paid add-on	Paid add-on	Base plans cover ChatGPT, AI Overviews, Perplexity, Copilot; Gemini and AI Mode add-ons from $9/mo on Lite (Otterly pricing)
Semrush AI Visibility Toolkit	$99/mo	Yes	Yes, in Visibility Overview	Prompt Tracking names ChatGPT and AI Mode (Semrush KB)
Ahrefs Brand Radar	$199/mo add-on	Yes	Yes	Custom prompts from $50/mo (Ahrefs)
Scrunch AI	$250/mo annual ($300 monthly)	Yes	Yes	Lists both under included AI platforms (Scrunch pricing)
Profound	Free trial; Enterprise custom	Enterprise only	Trial and Enterprise	Trial covers ChatGPT, Gemini, AI Overviews (Profound pricing)

GrackerAI is built for B2B SaaS, with vertical-tuned models for cybersecurity, DevTools, DevOps and technical B2B. Google AI Mode is included on every plan. Gemini is part of the 10-engine Enterprise plan, so a team that needs Gemini app coverage specifically should plan for Enterprise. Each monitoring run captures the full answer, brand mentions, sentiment, cited sources, prominence and wrong claims, and the citations view shows which domains the engines lean on for your category. Where it differs from pure trackers is the next step: it diagnoses why a competitor won a prompt and drafts the content to close the gap. Paid plans start with a 7-day free trial.

Peec AI lets you pick 3 active models per plan, and Gemini and AI Mode are both on the list. That suits a team that wants daily self-serve tracking of Google surfaces plus ChatGPT, with the option to buy more models later.

Otterly.AI has the lowest entry price. If Gemini and AI Mode are your focus, budget for the add-ons, since the base plans cover ChatGPT, AI Overviews, Perplexity and Copilot.

Semrush fits teams already on Semrush. Its knowledge base says Visibility Overview covers ChatGPT, Gemini, Google AI Mode and AI Overviews, while Prompt Tracking names ChatGPT and AI Mode, so check which feature you need for daily prompt-level data.

Ahrefs Brand Radar works from a large prompt database, which is useful for category-level share of voice research across AI Mode, Gemini and other engines. Custom prompts cost extra.

Scrunch AI lists Gemini, AI Mode and AI Overviews as included platforms and publishes a mid-tier price.

Profound is sales-led. Its trial covers Gemini; AI Mode is listed for Enterprise.

How Do You Improve Visibility in Gemini and AI Mode?

Google is clear that there is no secret format. “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary,” and no AI text files or special schema are required (Google Search Central). A page must be indexed and eligible to show with a snippet. Beyond that, these moves have the clearest link to the four measures above:

• Answer the sub-questions, not just the head term. Query fan-out means AI Mode searches subtopics. A comparison page that covers pricing, integrations, compliance and team size gives the answer more places to pull from than a page that only targets “best X.”
• Put the answer first. Open each section with a direct, self-contained sentence that can be quoted on its own, then add detail.
• Publish what others cannot. Google’s own guidance for AI search stresses unique, non-commodity content because people ask “longer and more specific questions” there (Google Search Central Blog, May 2025). Original benchmarks, pricing tables and named customer outcomes give the model something it can only get from you.
• Keep structured data honest. Use markup where it fits, and make sure everything in it is visible on the page, as the same Google post recommends.
• Fix wrong claims at the source. If Gemini repeats an old price, find the page it is likely drawing on (your own outdated page, a review listing, a directory) and correct it.
• Show up where the answer is sourced. Use the cited-domains column from your log. If the same third-party sites keep appearing on prompts you lose, earn a place on them.
• Check Google-Extended on purpose. If you block it, you are choosing to keep your content out of Gemini app grounding. Make that a deliberate decision, not a side effect of a robots.txt template.

If Microsoft’s assistant matters to your buyers too, our Copilot rank tracking guide explains why Bing indexing drives most of what Copilot cites.

Frequently Asked Questions

Is there a rank position in Gemini or Google AI Mode?

Not in the classic sense. Both return a written answer that changes from run to run. The useful measures are mention rate (how often your brand is named across repeated runs), citation rate (how often your pages are linked), where you appear in the answer, and the sentiment of the mention.

Is Google AI Mode the same as AI Overviews?

No. AI Overviews is a summary shown on top of a normal results page. AI Mode is a separate conversational search experience for longer, more complex questions. Google’s documentation says the two may use different models and techniques, so the responses and links they show will vary.

Does Search Console show my Gemini or AI Mode visibility?

Partly. Search Console counts AI Mode and AI Overviews traffic inside the Performance report under the Web search type, and its generative AI report, rolled out to all sites on 31 August 2026, shows impressions for AI Overviews and AI Mode. It does not cover the Gemini app and does not show the answer text, sentiment or which competitors were named.

How often should I check my brand in Gemini and AI Mode?

Weekly is enough for most B2B teams, using the same fixed prompt list. Run each prompt several times per check because answers vary between runs, and compare the mention rate over time rather than reacting to a single answer.

Do I need special markup or an llms.txt file to appear in AI Mode?

No. Google states there are no additional requirements or special optimizations for AI Overviews or AI Mode, and no AI text files or special schema are needed. Your page needs to be indexed and eligible to show with a snippet in Google Search.

Which tools track both Gemini and Google AI Mode?

Peec AI, Ahrefs Brand Radar, Scrunch and Semrush’s AI Visibility Toolkit list both on their own sites. Otterly sells them as paid add-ons. Profound lists Gemini on its trial and AI Mode on Enterprise. GrackerAI tracks AI Mode on every plan and Gemini on Enterprise.

Next step

Want to see what AI Mode and other engines say about your brand today? Run the free AI visibility check, or start a 7-day trial to track your own prompts across engines every week.