What Is an LLM Visibility Tool (and How Do You Get Named by ChatGPT)?

No. A rank tracker checks your position in Google's list of links for a keyword. An LLM visibility tool checks whether AI assistants like ChatGPT, Perplexity, Gemini, and Claude actually name and recommend your business inside their written answers, and which sources they cited. They measure different front doors, and today you need both.

At minimum the ones your buyers use: ChatGPT, Perplexity, Google's Gemini and AI Overviews, and Claude. Different models pull from different sources and phrase recommendations differently, so checking only one gives you a partial picture of where you stand.

Yes, and often faster than a national brand. Local 'near me' and city-level questions have a much smaller field of competitors. With clean answer-first pages, consistent listings, and strong reviews for your service area, you can become the name the AI reaches for in your market without a huge web footprint.

It varies. Live-search models like Perplexity and ChatGPT search can start citing new or updated pages within days of crawling them. The deeper 'memory' models carry from training moves more slowly and follows from consistent mentions, reviews, and authority built over weeks and months. A visibility tool lets you watch both and see which changes are working.

Yes. Our free AI visibility tool runs a starter set of buyer prompts and shows you where your business currently shows up across the major AI assistants, and where competitors are getting named instead. It's a quick way to see the gap before deciding what to do about it. Reach out for a quote if you want us to close it for you.

An LLM visibility tool is software that checks whether large language models like ChatGPT, Perplexity, Gemini, and Claude actually mention, recommend, and cite your business when people ask them buying questions. It runs the prompts your customers would type, records which brands the AI names, tracks how often you show up versus competitors, and shows you which sources the model pulled from so you can fix the gaps. Think of it as rank tracking, but for AI answers instead of the blue links on Google. I'm Ryan Goering, and I run BaaDigi. We help contractors and local service businesses get found by the people who are ready to hire. Over the last two years the question in our client calls changed. It used to be "where do I rank on Google?" Now it's "my customer asked ChatGPT who to call and it never mentioned me. Why?" This post answers that, and explains what an LLM visibility tool actually does about it.

LLM visibility is how often, and how favorably, an AI assistant names your business in its answers. When someone types "best roofer in Fort Worth" or "who should I call for a well pump replacement near me," the model writes back a short list. If your name is on that list, you have visibility. If it isn't, you're invisible to that buyer, no matter how good your Google ranking is. This matters because more buyers now start with an AI answer instead of a page of ten links. The AI hands them two or three names and a reason to trust each one. That's a much shorter shelf than page one of Google, and the businesses on it win a bigger share of the click. There are two angles worth separating: • Brand visibility — does the AI name your company by name, and describe it accurately? • Local visibility — for "near me" and city-level questions, does the AI put you in the short list of businesses it recommends for that area? Local businesses live and die on the second one. A roofer doesn't need to be famous nationally. He needs ChatGPT to name him when someone three towns over asks about his service.

LLMs don't have a public ranking algorithm the way search engines do, but the patterns are clear from watching thousands of answers. Models tend to name and cite businesses that are: • Mentioned consistently across the web — the same business name, described the same way, on directories, review sites, local news, and industry pages. Repetition builds the association. • Backed by reviews and third-party proof — strong Google and directory reviews, ratings, and mentions the model can treat as evidence of quality. • Written in clear, answer-first language — pages that state plainly what the business does, where it works, and who it serves, instead of burying it in marketing fluff. • Structured so machines can read them — schema markup, clean headings, FAQ blocks, and consistent name-address-phone details. • Live on a crawlable site — reachable by AI crawlers like GPTBot, PerplexityBot, and ClaudeBot, not blocked or hidden behind scripts. Underneath, the model is doing two things: recalling patterns from its training data, and, for live tools like Perplexity and ChatGPT search, fetching current pages and citing them. So you're playing two games at once.

A good tool turns a fuzzy question into numbers you can act on. Here's the basic loop most of them run: StepWhat the tool doesWhat you learn Prompt setRuns the real questions your buyers ask across ChatGPT, Perplexity, Gemini, and ClaudeThe exact scenarios where you show up or vanish Mention trackingRecords whether your business is named, and how it's describedYour presence rate and whether the description is accurate Share of voiceCompares your mentions against named competitorsWho the AI favors in your market Citation sourcesCaptures which pages and domains the answer pulled fromThe exact sources to earn or improve Tracking over timeRe-runs prompts on a scheduleWhether your changes are moving the needle The citation-source part is the piece people underrate. Knowing you're invisible isn't useful on its own. Knowing that the AI cited a specific directory, a competitor's blog post, and a review roundup, none of which mention you, tells you exactly where the work is. If you want to see this in action on your own business, we built a free AI visibility tool that runs a starter set of prompts and shows you where you stand today.

If you're a national brand, LLM visibility is largely a reputation and content-authority game, played across a huge web footprint. If you're a local contractor or service business, the game is narrower and, honestly, more winnable. You're competing for a short list of "near me" and city-level answers against a handful of local rivals, not the whole internet. That's good news. A focused local business, with clean pages, strong reviews, consistent listings, and answer-first content for its service area, can become the name the AI reaches for in its market faster than a big brand can move a national number. The tools help you see which specific city-and-service questions you're winning or losing, so you don't spread effort thin.

There are more of these tools every month, and they range from single-model spot-checkers to full multi-model platforms. A few things worth weighing: • Coverage — does it check the models your buyers actually use, or just one? • Citation transparency — does it show you the sources behind each answer, or only a score? • Local support — can it handle "near me" and city-level prompts, which is what matters for service businesses? • Action, not just data — does it tell you what to fix, or leave you staring at a dashboard? We put together a breakdown of the best AI/LLM visibility tools so you can compare the options side by side. If you're weighing us against the enterprise platforms, we also have head-to-head pages on BaaDigi vs Profound and BaaDigi vs Peec AI that lay out where each one fits, especially the difference between a pure tracking dashboard and a done-for-you approach built for local contractors.