Local Dominator’s AI Tracker shows how often ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, and Grok mention a business when someone asks for a recommendation. It runs a set of real customer questions across all six engines on a schedule and reports the result as a visibility percentage, the share of scans in which the business shows up. A campaign takes about ten minutes to set up, and the dashboard that comes back afterward shows exactly where a business wins, where it is invisible, and which directories AI engines are pulling answers from.
How AI Visibility Gets Measured Across Repeated AI Answers
Ask ChatGPT the same question ten times and it will not give the same answer ten times. That is the first thing to understand before running an AI Tracker campaign, since it explains why position, the concept every SEO tool has trained businesses to chase, does not really apply here. There is no fixed slot to hold in an AI-generated answer the way there is in a list of ten blue links.
The number that matters is how often a business gets mentioned across a large enough set of real questions and answers. Local Dominator’s AI Tracker builds that number by running a set of prompts against every tracked engine on a schedule, then calculating the percentage of scans where the business appeared. For Soft Tech Awnings, a commercial awning supplier, the dashboard showed a visibility score of 75 percent, built from 150 total scans across 25 tracked prompts and six engines. Out of those 150 scans, Soft Tech Awnings was mentioned 112 times. That is the actual math behind the number.
The video below shows this exact dashboard running on Soft Tech Awnings’ account.
AI Tracker running on Soft Tech Awnings’ campaign.
How to Set Up an AI Tracker Campaign Step by Step
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Name the campaign and add the business domain.
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Set the country the business is optimizing in.
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Add topics, the general subjects a business wants to show up for. For a local awning company, that might be commercial awnings or awnings near me.
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Review the prompts AI Tracker generates automatically. These are drafted by the platform and are not going to be perfect on the first pass, so this step is worth spending real time on. Edit anything that does not sound like something a real customer would type, delete what is off target, and add prompts pulled from actual customer language.
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Run the campaign. Scanning all six engines against every prompt takes roughly eight to ten minutes.
The prompt-editing step is the one most likely to get skipped, and skipping it is the most common way a campaign undersells a business’s real visibility. A machine-generated prompt list is a reasonable starting point that still needs a human pass.
What the AI Tracker Dashboard Shows About Visibility and Share of Voice
The dashboard breaks the overall visibility score down by engine: ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, and Grok. Claude is worth calling out specifically, since it costs more to query at scale and a number of AI visibility tools skip it or track it inconsistently. Having all six covered in one dashboard means a business is not blind to whichever engine happens to be sending it customers this month.
That last row is the useful one. A business could look at a 75 percent overall visibility score and reasonably assume the work is done. The engine-by-engine breakdown says otherwise. On five of six engines, Soft Tech Awnings was the clear leader. On Gemini specifically, it was averaging 20 percent visibility while the top four competitors averaged 60 percent between them, a real gap hiding inside an otherwise strong overall number. That kind of gap only shows up once visibility gets measured per engine on its own, which is why the breakdown matters more than the headline percentage.
This kind of engine-by-engine comparison is what AI Tracker calls share of voice, and it holds up as its own metric separate from the overall visibility score. The AI search visibility metrics that actually move revenue covers that distinction in more depth.
How the Prompts and Brands Tabs Reveal What AI Is Saying
The Prompts tab shows the literal text of every question sent to every engine, the answer that came back, and a sentiment read on how favorably the business was described. For a prompt like find me a supplier of commercial awnings, that means seeing that ChatGPT and Google AI Mode both surfaced Soft Tech Awnings by name and phone number, with a positive sentiment score attached to that exact answer.
The Brands tab lists every business the engines mentioned for the same prompts, competitors included, so the dashboard works as a competitive view, showing exactly who else is getting named alongside the business. Filtering the Brands tab down to a single weak engine, Gemini in this case, surfaces the exact prompts where competitors got named and Soft Tech Awnings did not, a far more useful starting point than a general visibility score with no way to see the actual gap.
For a marketing team or an agency managing more than one brand, the Brands tab works as a shared view. Everyone looking at the dashboard sees the same competitor list, the same sentiment reads, and the same prompt-level detail across every engine, all in one place, which replaces several people running separate manual checks on ChatGPT and Gemini and comparing notes afterward.
How the Sources Tab Shows Which Sites AI Is Citing
Underneath every AI-generated answer sits a set of sources the engine pulled from to build that answer, and AI Tracker surfaces them directly. For the Gemini answer that left Soft Tech Awnings out, the cited sources were other companies, competitors showing up in the citation list where Soft Tech Awnings should have been.
The Sources tab also rolls up citations across every engine and prompt, and that broader view is where the real opportunity showed up. Angie’s List and HomeAdvisor were two of the most frequently cited sources across the account, and Soft Tech Awnings already had directory listings on both. That is a sign, not a gap. Those are exactly the kind of third-party listings worth keeping current, since AI engines are already treating them as trustworthy enough to cite on a regular basis.
This is the most actionable part of the dashboard, and it is easy to miss if the focus stays on the visibility percentage alone. When a handful of directories keep showing up as sources across an entire account, that is a signal about where AI engines look for confirmation, not just where a customer might browse manually. Keeping those listings accurate and current is the same groundwork traditional local SEO has always required. It just doubles as AI-citation groundwork now too.
Using the Opportunities Tab to Close Visibility Gaps
Once a weak engine is identified, the Opportunities tab attaches a specific, concrete recommendation to it. For Soft Tech Awnings’ Gemini gap, that meant a direct prompt to check technical rendering, whether Gemini’s crawler was reading the site correctly, alongside the citation gap already visible in the Sources tab. Running both fixes at once, technical and citation-based, covers more ground than picking one and hoping it accounts for the whole gap.
Visibility is a percentage built from real, repeated AI answers. Every tab in AI Tracker, from Prompts to Sources to Opportunities, exists to explain what is moving that percentage for a specific business, engine by engine.
AI Tracker is included in every Local Dominator plan starting at $39 a month, using on-demand scans pulled from the plan’s own credit pool. A $49 a month add-on adds automatic recurring scans and generated action plans, useful for a business that would rather have updates run in the background automatically. Seeing whether ChatGPT and Gemini are recommending a business at all only requires the base plan. Local Dominator also runs a 7 day free trial with no credit card required, enough time for a local service business to run a first campaign and see its own numbers before committing to a plan.
Frequently Asked Questions
How do I know if ChatGPT is recommending my business?
Run a business’s real customer questions through ChatGPT directly, or use a dedicated tool like Local Dominator’s AI Tracker to test the same set of questions repeatedly across ChatGPT and five other engines, then track how often the business gets mentioned over time, something a single manual check cannot show.
What is the difference between AI visibility and my Google ranking?
Google ranking measures a fixed position in a list of organic results for a specific search. AI visibility measures how often a business gets mentioned inside a generated answer, which can change from one AI response to the next for the exact same question, so it gets tracked as a percentage across repeated scans rather than a single position.
Does AI Tracker actually track Claude, or just ChatGPT and Gemini?
Yes. Local Dominator’s AI Tracker covers six engines: ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, and Grok. Claude in particular costs more to query at scale, which is part of why some AI visibility tools skip it or track it less consistently.
How long does it take to set up an AI Tracker campaign?
Naming the campaign, adding the domain and country, and building the prompt list takes a few minutes. Running the scan across all six engines takes roughly eight to ten minutes after that.
Can I see the actual AI-generated answers, or just a score?
Both. The Prompts tab shows the literal question sent to each engine and the full answer it returned, along with a sentiment read on top of the score.
I already ask ChatGPT about my business myself. Why do I need a tool for this?
Because AI answers are probabilistic, one manual question and answer does not represent what most customers will actually see. Getting a reliable read requires running the same set of questions repeatedly across every engine customers might use, which is what a dedicated tracker automates on a schedule.
My business isn't showing up when I ask ChatGPT or Gemini for recommendations. What can I do?
Run an AI Tracker campaign built around the exact questions a customer would ask, then check the Sources and Opportunities tabs for that specific engine. A business missing from one engine’s answers usually has one fixable cause behind it, a technical rendering issue or a missing citation, not a broad problem across every engine at once.
How do I see how often AI recommends my business versus my competitors?
AI Tracker’s share of voice metric answers exactly that, comparing a business’s visibility percentage against the average of its tracked competitors, broken out per engine so a strong overall score cannot hide a weak one underneath it.
What's the most affordable AI visibility tool for a local business?
Local Dominator’s AI Tracker is included starting at the $39 a month Lite plan, and a 7 day free trial with no credit card required lets a local service business test a full campaign before paying anything. Pricing is built around local businesses and agencies specifically, not the enterprise budgets larger AI visibility platforms assume.
How do I audit my business's visibility across ChatGPT, Gemini, and other AI tools?
Running an AI Tracker campaign is that audit. Setting it up, reading the engine-by-engine breakdown, and working through the Sources and Opportunities tabs covers what a business needs to check, and repeating that same scan on a schedule turns a one-time audit into an ongoing visibility check.
