Free AI Visibility Checker. See whether ChatGPT and Claude recommend your brand.

What is AI visibility?

AI visibility is how often and how prominently your brand appears when real buyers ask AI assistants for product or vendor recommendations. When someone types “What's the best CRM for a 20-person sales team?” into ChatGPT or “Which agencies specialize in B2B demand generation?” into Perplexity, the response they get is the new front page of search, and brands that don't appear there are simply invisible to that buyer.

Traditional SEO optimizes for the ten blue links on a Google results page. AI visibility optimization, often called Generative Engine Optimization (GEO), targets a different output: the synthesized, conversational answer that ChatGPT, Claude, Gemini, and Perplexity generate directly. These answers cite sources, recommend vendors, and increasingly drive purchase decisions without the user ever visiting a search results page.

This free tool gives you a single, honest number: the share of AI answers that actually name your brand. Ask ChatGPT and Claude the questions your buyers ask, count how many name you, and that count is your score.

Why AI visibility matters in 2025

Buyers are increasingly starting their research with AI assistants rather than search engines. They ask ChatGPT for software comparisons, consult Claude for technical evaluations, and use Perplexity to source recent recommendations, often before they've visited a single vendor website. Industry estimates suggest that 40% or more of B2B purchase journeys now involve an AI query at some point, and that share is growing month over month.

If your brand does not appear when an AI is asked about your category, you are invisible to this fast-growing segment of buyers. And unlike traditional search, where a page-two ranking at least means you exist, an AI that doesn't know your brand will simply recommend your competitors as if you never existed.

The discipline that addresses this gap is Generative Engine Optimization (GEO): the practice of making your brand legible, citable, and recommendable to large language models. GEO covers structured data markup, third-party citation building, content restructuring for AI extraction, and technical signals like llms.txt and AI crawler access. But before you can improve, you need a baseline, which is exactly what this tool provides.

ChatGPT (OpenAI) and Claude (Anthropic) are two of the dominant AI assistants shaping this new search landscape. Your score across both is a fast, honest baseline of where you stand today.

How the AI Visibility Checker works

1. Crawl your homepage. We perform a single read-only GET request to your homepage to identify your brand name, a short description of what you do, and your industry. No login required; no data is written to your site.
2. Classify your brand. An LLM reads your homepage and identifies your brand name, a one-sentence description, the top product topics, and a short list of direct competitors. This is the signal that drives the rest of the run.
3. Query AI platforms in parallel. We send short discovery queries — the kind people actually type, like “best geo platforms” — simultaneously to ChatGPT and Claude via their public APIs. We avoid questions that name a competitor, because naming one guarantees it appears in the answer and would inflate the competitor numbers we report.
4. Count the mentions. We parse every response for your brand and your competitors, note the position when you appear in a ranked list, and score you on the share of answers that name you — plus a prioritized list of opportunities and recommendations.

How we calculate your score

Your AI Visibility Score is the percentage of AI answers that name your brand. Nothing else goes into it.

We run 8 questions against 2 platforms, which gives up to 16 answers, one per question per platform. If your brand is named in 6 of them, you score 38. Open the results table and count the checkmarks: you will get the same number. That is deliberate, because a score you cannot reconcile with your own report is a score you cannot trust. If a platform fails to answer a question, that answer is left out of both the count and the total rather than counted against you.

We used to publish a weighted composite here that blended mention rate with sentiment, list position, platform coverage, and a competitor gap. It had a floor: a brand named in zero answers still scored 8 out of 100, because two of those components never bottomed out. The report would say “no mentions detected” and print a non-zero score directly above it. We removed the composite rather than tune it.

These are still measured and shown alongside the score, as plain counts rather than sub-scores:

• Per-platform breakdown. How many answers named you on ChatGPT and on Claude, separately.
• Typical position. When an answer names you, where you fall among the brands we track, and how many of them that answer named.
• Top competitor. Which rival was named most often, and in how many answers compared to you.

Score bands: 0 Not visible, 1–14 Barely visible, 15–34 Emerging, 35–59 Strong, 60–100 Dominant. Zero has its own band on purpose — a brand no AI answer mentioned is absent, not merely low.

Honest limitations

This tool gives you a fast, directional snapshot, not a statistically rigorous audit. A few things to keep in mind:

• API responses differ from consumer UI. When you use ChatGPT or Perplexity directly, your session context, browsing history, and personalization influence the response. API calls lack that context. Our scores reflect the baseline, unauthenticated behavior of each model.
• 8-prompt sample is directional. We run 8 prompts per check to stay fast and free. This is enough to surface strong patterns (a brand with a 0% mention rate is genuinely invisible), but individual results can vary. The paid Siftly platform runs hundreds of prompts for statistical confidence.
• Models update continuously. LLM training data and retrieval behavior change with every model update. A score from today may differ from one run in four weeks. Treat this as a snapshot, not a fixed ranking.
• Score is not absolute ground truth. Two brands with the same score can have very different underlying patterns — one named first in every list, the other mentioned in passing. Open the prompt-level results and read the actual answers to understand the detail behind the number.

How to improve your AI visibility

If your score is lower than you'd like, here are the highest-leverage actions to take, roughly in order of effort versus impact:

1. Add Organization and Product schema markup. Structured data gives AI systems a machine-readable signal about who you are, what you do, and how authoritative you are. Implement Organization, Product, and FAQPage schema on your most important pages.
2. Create an llms.txt file. An llms.txt file at your site root gives AI assistants a curated, model-readable map of your most important pages and what each one contains. Use our free llms.txt Generator to build one in under two minutes.
3. Verify AI crawler access. If AI crawlers like GPTBot, ClaudeBot, or PerplexityBot are blocked in your robots.txt, models can't index your content at all. Use our free AI Crawler Audit to check your current configuration.
4. Build third-party citations in authoritative sources. AI models heavily weight mentions in high-authority publications, industry reports, directories, and review sites. Guest content, analyst coverage, and press mentions in sources your buyers read are among the most powerful GEO signals.
5. Create comparison and listicle content for buyer-intent queries. Buyers ask AI for “best X for Y” and “X vs Y” queries. If your site has well-structured comparison pages that clearly name your category, your competitors, and your differentiators, models are more likely to surface and cite that content in recommendation responses.
6. Add FAQ schema to your key pages. FAQ schema signals to AI systems that your pages contain direct answers to common questions: exactly the content that gets cited in AI-generated answers. Prioritize your pricing, product, and category pages.

GEO is a compounding practice: each of these improvements reinforces the others. A site with clean schema, an llms.txt, open AI crawler access, and strong third-party citations will consistently outperform a site that does only one of these things.

Frequently asked questions