Gemini Visibility Tracker: Tools & DIY Setup

What a Gemini visibility tracker does

A Gemini visibility tracker runs a fixed set of prompts against Google Gemini on a schedule and records what came back about your brand. The core metrics are the same four across every vendor: mention rate (how often your brand appears in answers to your prompt set), position (named first or listed seventh), citations (whether your site is linked as a source), and sentiment (how the answer frames you). Most tools add competitor benchmarking, so the numbers come with a "versus who" attached.

The reason this exists as a category: Gemini answers product and category questions directly, and a brand that never appears in those answers loses the customer before any website visit happens. Tracking is the measurement half of the discipline we cover in AI brand tracking; this article goes deep on the Gemini surface specifically.

Worth saying upfront: Crawloria does not sell a visibility tracker, so the shortlist below has no horse in the race. Prices and Gemini coverage were checked on each vendor's pricing page on June 11, 2026, and they shift often, so treat the table as a verified snapshot rather than a permanent quote.

5 tools that track Gemini visibility (verified June 2026)

The tool-shaped answer first. All five below confirm Gemini coverage on their own pages; the trap to check in every case is whether Gemini sits in the base plan or behind an add-on.

Tool	Entry price (monthly)	Gemini coverage	Notes
AIclicks	$59 Starter ($189 Pro, $499 Business)	In default models (ChatGPT, Gemini, Perplexity)	Pricing scales by prompts, engines, and answer volume
LLM Pulse	$60 Starter ($120 Growth, $363 Scale)	In every plan, alongside ChatGPT, Perplexity, AI Mode, AI Overviews	Unlimited seats on all plans
Otterly AI	$29 Lite ($189 Standard, $489 Premium)	Add-on, from $9/month — base plans cover ChatGPT, AI Overviews, Perplexity, Copilot	The $29 entry headline does not include Gemini; budget the add-on
SE Ranking	$129 Core + $89 AI Search add-on	Gemini Tracker listed among its tools; the $89 AI Search add-on names AI Overviews, AI Mode, Perplexity, and ChatGPT — confirm Gemini's placement before buying	Full SEO platform underneath; the AI layer is the paid extra
Peec AI	Not published on its pricing page (as of June 11, 2026)	Supported; tiers select 3 models from a core set	Contact-the-nav pricing; confirm Gemini fits your tier's model slots

Three observations from assembling this table that the vendors' own listicles tend to skip. First, the cheapest sticker is not the cheapest Gemini tracker: Otterly's $29 Lite needs the Gemini add-on before it answers the question this article is about. Second, "tracks Gemini" can mean one model slot out of three, as in Peec's tier structure, so a team already tracking ChatGPT and Perplexity may find Gemini competes for the last slot. Third, some of the roundups ranking these tools are published by the vendors themselves; check the byline's domain, and cross-check any pricing claim against the vendor's live page before budgeting.

If you need tracking across many engines rather than Gemini alone, start from the wider AI brand tracking picture first, or compare the position-monitoring field in our LLM rank tracker roundup, and pick the tool whose engine mix matches your audience.

Gemini is not AI Mode (and not AI Overviews)

Three Google surfaces get conflated under "Gemini tracking," and they are operationally different things:

• Gemini is the standalone assistant: the app and gemini.google.com. A user opens it deliberately and converses. This is the surface this article tracks.
• AI Mode is a conversational tab inside Google Search. Different entry point, different retrieval behavior, different tracker support; we maintain a separate guide to AI Mode tracking tools.
• AI Overviews are the AI summaries at the top of classic Google results. Most established SEO tools track these already, and they behave more like a SERP feature than an assistant.

The mistake this distinction prevents, an easy and expensive one: buying a tracker for "Google AI" and discovering it monitors AI Overviews while your actual concern was the Gemini app, or the reverse. Vendors are not always loud about which surface a checkbox covers; Otterly, for instance, prices Gemini and AI Mode as separate add-ons, which is at least honest about them being separate work. When evaluating any tool, ask which of the three surfaces each metric comes from. Your visibility can differ sharply across them, because the assistant answers from model knowledge plus its own retrieval, while AI Overviews lean on Google's index.

Why Gemini brand visibility started mattering for stores

For DTC merchants, Gemini stopped being a curiosity the moment commerce plugged into it. Shopify's Agentic Storefronts page states it directly: "With Agentic Storefronts, your products show up instantly in ChatGPT, Gemini, and more," and the program is "enabled automatically for eligible stores" (checked June 11, 2026). Product discovery inside Gemini is no longer hypothetical; it is a default-on distribution channel for eligible Shopify stores.

That changes what tracking is for. A content brand tracks Gemini to measure mentions and citations. A merchant tracks it to verify a sales channel: do my products actually surface when a shopper asks Gemini for "best running socks for winter," and does the answer name my store or only my competitors? If your products are eligible for agentic surfaces and never appear in answers, that gap is diagnosable, and crawlability plus product-data quality are the first places to look before concluding Gemini dislikes your brand. That diagnostic is exactly what our free AI visibility audit runs.

So the prompt set for a store should include shopping-shaped prompts (category queries, "best X for Y," brand-versus-brand) and not just informational ones. The next section covers building that set.

How to track brand visibility in Gemini manually

A DIY workflow gives you a defensible baseline in an afternoon and costs nothing but the weekly run. The method mirrors the cross-engine workflow from our guide to monitoring brand mentions in AI search, narrowed to one surface.

Step 1: Build a prompt set of 10-20 queries. Write prompts the way your customers ask, not the way you search. Four groups, roughly balanced: category prompts ("best mineral sunscreen for sensitive skin"), problem prompts ("sunscreen that won't break out acne-prone skin"), comparison prompts ("Brand A vs Brand B sunscreen"), and brand prompts ("is [your brand] sunscreen any good"). For stores, weight the shopping-shaped phrasings; that is where agentic surfacing shows up.

Step 2: Standardize the run conditions. Fresh Gemini session per run, same model tier each time, no signed-in personalization carrying over between prompts where you can avoid it. Consistency matters more than purity here; the goal is comparable snapshots, not a lab paper.

Step 3: Run weekly and score four columns. For each prompt record: mentioned (yes/no), position (first brand named, or ordinal in a list), cited URL (which page of yours, if any, the answer links), and sentiment (positive/neutral/negative, judged quickly). A fifth column for "who was named instead" turns the sheet into competitor intelligence for free.

Step 4: Compute the two numbers worth charting. Mention rate = prompts where you appear ÷ total prompts. Share of voice = your mentions ÷ all brand mentions across the prompt set. Chart both weekly; single snapshots mislead because assistant answers vary run to run, and the trend line is the signal.

Step 5: Keep the raw answers. Paste the full response text into the sheet or a folder. When a mention disappears, the before/after text shows you what replaced it, which is the start of the "why."

The honest limits of DIY: answer variance means a 15-prompt weekly sample is a coarse instrument; it catches real shifts but not week-to-week noise. That coarseness is acceptable at baseline stage and stops being acceptable when decisions hang on the numbers.

DIY vs paid tracker: when to switch

The spreadsheet stops being the right answer at recognizable thresholds:

• Prompt count: past roughly 30-40 prompts, the weekly manual run consumes an hour-plus and starts getting skipped. Skipped runs kill the trend line, which was the entire point.
• Competitor tracking: scoring 4-5 competitors by hand across every prompt multiplies the work; tools do this as a column you did not have to fill.
• Multi-surface needs: the moment AI Mode and AI Overviews join Gemini on your watch list, manual triples while a multi-engine tool just adds checkboxes.
• Reporting: if someone above you wants a monthly chart, exporting from a tool beats screenshotting a spreadsheet.

A reasonable sequence for a small team: run the DIY sheet for 4-6 weeks first, learn which prompts actually move, then bring that tested prompt set into whichever tool from the table fits the budget. Starting with the tool and 200 untested prompts produces dashboards nobody reads.

FAQ

Is tracking Gemini different from tracking ChatGPT?

The method is the same (fixed prompts, scheduled runs, scored answers), but the surfaces behave differently. Gemini connects to Google's retrieval and shopping infrastructure, so commerce prompts can surface product results in ways ChatGPT structures differently. Track each surface you care about separately rather than assuming one number generalizes; the cross-engine setup lives in our brand mention monitoring guide.

Can Google Search Console show my Gemini visibility?

No. Search Console reports on Google Search surfaces, and it does not report which Gemini app answers mentioned or cited your brand. Referral traffic from gemini.google.com in your analytics is the closest free signal, and it only captures the minority of interactions where a user clicked through.

How many prompts are enough?

For a baseline, 10-20 prompts covering category, problem, comparison, and brand phrasings. Enough to see a mention-rate trend, small enough to actually run weekly. Scale the set after you learn which prompt shapes your buyers use; volume without that learning is busywork.

Does Gemini cite sources?

Often, but not always, and citation behavior varies by query type. That is exactly why the DIY sheet records the cited URL per prompt: over a few weeks you learn which of your pages Gemini treats as citable, and which prompts produce answers with no sourcing at all. Pages that never earn citations anywhere are a crawlability and structure question first; a free audit is the fast way to rule those causes out.