AI Visibility Checker: The Complete How-To Guide

Most people find the AI Visibility Checker, paste a URL, stare at the score, and then have no idea what to do with it. That's a shame, because the tool gives you a lot more than a number — it gives you a list of the exact things standing between you and being recommended by ChatGPT, Perplexity and Gemini.

This guide walks through it the way I'd walk a client through it. Paste the URL, but then go a bit deeper.

What the tool is actually doing

Under the hood it simulates a buyer. It takes your URL, your business name, your category and your city, and it writes the kind of prompts a real customer would type — questions like "best [category] in [city]" or "who is [business name] and are they legit." Then it runs those prompts across seven engines: ChatGPT, Gemini, Claude, Perplexity, Groq, Mistral and Llama.

For each engine it checks three things. Did it mention you at all? If so, did it match you on your business name or your domain? And what did it say — is it praising you, describing you, or ignoring you? That engine-by-engine breakdown is the part most people skip, and it's the most useful part.

This is fundamentally different from checking your Google rankings. Traditional SEO tools measure where you appear in a list of blue links. The AI Visibility Checker measures whether AI engines actually recommend you in their conversational answers — a completely different channel that's growing rapidly.

Filling in the fields properly

The free checker is fine for a one-time look. People move to our ChatGPT recommendation tracking for the repeat scans — same prompts, same fields, a trend line instead of a snapshot.

The URL is the only required field, but you're leaving signal on the table if you skip the rest.

• Business name — Use the exact name your customers search for. If your legal name and trading name differ, use the trading name. It's the one the AI will recognise. Consistency here matters because AI engines cross-reference your business name across multiple sources — your website, Google Business Profile, directory listings, and social media.

• Category — Be specific. "Plumber" beats "home services." The more precise, the more realistic the prompts the checker generates. If you're a "residential plumbing repair specialist," say that. The category helps the tool generate prompts that match how real buyers search.

• City — This matters hugely for local businesses. AI answers are increasingly localised, and the checker uses it to build location-aware prompts. A plumber in Toronto faces different competitive dynamics than one in Vancouver, and the checker accounts for that.

The tool auto-generates the buyer-intent prompts, competitor comparisons and recommendation checks from your profile. There's no manual mode to fumble — you just fill in the fields accurately and let it run.

Reading the three scores

The result screen gives you a website score, an AI score, and an overall grade. They're answering different questions, and the gap between the first two is where the interesting insight lives.

• Website score — How ready is the site itself? This covers indexability, structured data, content depth, security, trust signals and readability. It's the foundation. A high website score means you've done the technical work. But technical health alone doesn't guarantee AI recommendations.

• AI score — Does the AI actually surface and cite you? This is the part you can't see in Google Search Console. It measures real outcomes: when AI engines answer buyer-intent questions, do they mention your brand, cite your content, or recommend your services?

• Overall grade — The combined picture, an A–F style grade at a glance. Useful for quick reporting, but don't make decisions based on this alone.

If the website score is high and the AI score is low, you have a classic attribution problem: your site is technically healthy but the AI engines aren't choosing it as their source. That's fixable, and the checks panel tells you where. This gap is explained in more detail in our AI visibility score breakdown.

Understanding the pass / warn / fail checks

Below the score you'll get a list of checks, each marked pass, warn or fail. This is the part of the tool I'd personally work from.

• Pass means that signal is solid. Leave it alone.
• Warn means it's present but weak. Worth reviewing, but not urgent.
• Fail means it's the most likely reason AI engines don't trust or cite you.

Don't try to fix everything at once. Fix the fails first — they're the ones actively costing you — then circle back to the warns. Rerun the check after each round of changes and watch each item flip from red to amber to green.

The typical fail categories include:

• Indexability issues — Pages blocked by robots.txt, missing from sitemap, or marked with noindex tags. If AI engines can't crawl your pages, they can't cite them.
• Missing structured data — No Organization or LocalBusiness schema means engines have to guess at your identity rather than reading your explicit declaration.
• Thin content — Pages that don't provide enough depth or specificity for an AI to extract useful facts. Our guide on fixing thin content covers this in detail.
• Inconsistent business information — Your name, address, or phone number differs across your website and third-party listings.
• Weak trust signals — Missing reviews, no case studies, no original research or data that would make an AI want to cite you.

Reading the engine-by-engine results

A brand can be beloved by ChatGPT and invisible to Perplexity. That's normal, and it's why the per-engine view matters. If you're strong on one engine and not another, look at what differs — sometimes it's just that one engine leans on different sources, sometimes it's that your information is inconsistent and one engine found the coherent version.

Look at how each engine matched you: on your name, on your domain, or not at all. Domains are a stronger signal than a bare name mention, because a domain match means the AI trusts an actual page of yours rather than a directory listing.

This matters because each AI engine has its own source preferences:

• ChatGPT tends to favor well-structured, authoritative content with clear entity signals.
• Perplexity heavily weights recent, cited sources and tends to pull from a wider web index.
• Gemini leverages Google's own index and entity understanding, so traditional SEO signals carry extra weight.
• Claude focuses on content quality and depth, often favoring comprehensive, well-argued pages.

Understanding these differences helps you prioritize fixes. If you're invisible on Perplexity but strong on ChatGPT, you might need more third-party citations. If you're weak on Gemini, traditional SEO improvements might move the needle fastest.

For a broader look at tracking across engines, see our guide on AI visibility tracking tools.

What to do after you have the report

The checker is a starting point, not the finish line. Once you know your baseline, the workflow is:

1. Fix the failed checks on your site. These are the technical and content barriers preventing AI engines from trusting or citing you. Start with indexability, then structured data, then content depth.

2. Make your key facts consistent and explicit — business name, address, category, services, history — so an AI can confidently describe you. Inconsistency is the silent killer of AI visibility.

3. Add the structured data the report flags as missing. Organization schema, LocalBusiness schema, FAQPage schema — each one gives engines explicit signals about who you are and what you do.

4. Build citation-worthy content. Original research, named methodologies, detailed case studies, and unique perspectives give AI engines something to cite that competitors don't have.

5. Rerun the check on a schedule, not once. AI answers change weekly. A quarterly re-audit catches drift before it compounds. Our guide on how often to track AI visibility covers the ideal cadence.

6. Track your progress. Compare scores over time. If your AI score is climbing, your fixes are working. If it's flat, you might need to dig deeper into cross-web consistency or entity signals.

Common mistakes people make

After walking hundreds of clients through their reports, I see the same mistakes repeatedly:

For a deeper dive, see our guide on what AI visibility actually means.

For a deeper dive, see our guide on quick wins to raise your AI visibility score.

• Fixing the website score but ignoring the AI score. A technically perfect site that no engine cites is still invisible. Focus on the AI score improvements.
• Ignoring the engine-by-engine view. The overall grade hides important differences. A brand can be strong on three engines and invisible on two — and those two might be where their customers are searching.
• Running the check once and never again. AI visibility is dynamic. Competitors improve, engines update their source preferences, and your own site drifts. Regular tracking catches problems early.
• Trying to fix everything at once. Prioritize fails, then warns. Small, focused improvements compound faster than scattered, half-finished fixes.

If you want this done for you rather than doing it yourself, that's literally the service we run at Launch at Dawn. book a free website teardown and we'll walk you through your own report, engine by engine.