Free AI Visibility Checker | Track Your Brand in AI Search — Leapd

By Cyrus Azamfar|Last updated: 2026-04-29·19 min read

Every time someone types "what's the best [your product category]?" into ChatGPT, Perplexity, Gemini, or Google AI Mode, those platforms produce one synthesized answer. A short list of brands. A direct recommendation.

Your brand is either in that answer — or it isn't.

Over 100 million people ask AI for brand recommendations every day. ChatGPT alone processes 2.5 billion prompts daily, and Google AI Overviews now appear in nearly 48% of all search queries. AI search visitors convert at 4.4x the rate of traditional organic search visitors — they arrive already informed, already comparing, already close to a decision.

Here's the problem: most brands have no idea whether they're winning or losing in these conversations. Traditional SEO tools track Google rankings. They can't tell you what ChatGPT said about your company this morning, whether Perplexity recommended you or a competitor, or how Claude describes your product category.

That's the visibility gap — and a free AI visibility checker is the fastest way to see exactly where you stand. You enter your website, and within seconds you get a platform-by-platform breakdown of where your brand appears, who it's losing to, and what's driving the gap.

This guide explains what an AI visibility checker actually measures, how to read your results, and what to do with them.

What Is an AI Visibility Checker? (And How AI Visibility Tools Work)

An AI visibility checker is a tool that automatically queries major AI platforms — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and others — using prompts relevant to your industry, then analyzes the responses to determine whether your brand appears.

The tool works like this: it generates buyer-style questions your audience realistically asks ("what's the best CRM for small teams?", "top fintech platforms for startups"), runs them across multiple AI engines simultaneously, and captures the responses. It then measures whether your brand is mentioned, whether your website is cited as a source, and how prominently you appear compared to competitors.

The output is your AI visibility score — the percentage of relevant AI responses that include your brand — along with a competitor leaderboard showing share of voice across each platform.

This is fundamentally different from a Google rank checker. Traditional SEO rank tracking tools measure URL positions in a list of blue links. AI visibility tools measure whether an AI engine chooses to name or recommend your brand when synthesizing an answer — often without showing any links at all.

A brand can rank #1 on Google for its most valuable keywords and remain completely invisible in the AI Overview sitting directly above those results. The two signals are separate, and they require separate measurement.

Why AI Brand Visibility Can't Be Measured with Traditional SEO Tools

The fundamental reason traditional SEO tools can't measure AI brand visibility is architectural: they were built for a different kind of search.

Google's classic search engine returns a ranked list of URLs. SEO tools measure positions in that list — keyword rankings, click-through rates, impressions. That model assumes users see your URL and decide whether to click.

AI search engines work differently. When a user asks ChatGPT or Perplexity a question, the platform synthesizes a direct answer from multiple sources and presents it as prose. There's no ranked list of URLs. There's no click-through signal to track. The AI decides which brands to name, which sources to cite, and what context to provide — and it makes those decisions based on its own training data and live web retrieval, not on a keyword match to your page title.

Only 12% of URLs cited by ChatGPT overlap with Google's top 10 organic results for the same query. That means 88% of the content AI platforms trust sits completely outside what traditional SEO tools track. A strong domain rating, optimized meta descriptions, and a clean backlink profile don't predict AI citation — structured content, topical authority, and AI-crawler accessibility do.

This is why AI search visibility tools have become a distinct category. Standard SEO audit tools check for technical issues that affect Google crawling. AI search trackers check what AI crawlers actually see: whether your robots.txt blocks LLM bots like GPTBot and ClaudeBot, whether structured data is formatted for AI extraction, and whether your content answers questions in the format AI platforms prefer to cite.

The 5 Key Metrics the Best AI Visibility Checkers Should Report

Not every AI visibility checker measures the same things. When evaluating an AI search visibility tool — or interpreting your first report — these are the five metrics that actually matter for understanding and improving your brand's presence in AI search.

AI Visibility Score

Your AI visibility score is the headline metric: the percentage of tracked AI responses that mention your brand. If a tool runs 100 relevant prompts across AI platforms and your brand appears in 23 of them, your visibility score is 23%. Industry benchmarks suggest scores under 15% indicate competitors are dominating your category in AI search — while scores above 50% indicate strong category ownership. This is your north-star metric for measuring progress over time.

Brand Mentions vs. Citations

These are two distinct signals. A mention is when an AI platform names your brand in its response — "tools like [Your Brand] help marketers do X" — without necessarily linking to your site. A citation is when the AI links directly to your website as a source. Citations carry more weight because they signal authority and drive referral traffic. Mentions drive awareness and category association even when no link appears. A strong AI search optimization strategy targets both — citations require well-structured, technically accessible content; mentions require broad topical authority across credible third-party sources.

AI Share of Voice

AI share of voice measures how much of total AI visibility within your category your brand owns compared to competitors. If three brands are mentioned across 100 category-relevant AI responses — Brand A appears in 60, Brand B in 25, and your brand in 15 — your share of voice is 15%. This competitive context is essential: an absolute visibility score of 15% might be strong in a fragmented market or weak in one dominated by two brands. Measuring AI share of voice is what transforms raw data into competitive strategy.

Sentiment Analysis

AI platforms don't just name brands — they characterize them. "Brand X is known for reliability and strong customer support" reads very differently from "Brand X has faced criticism for pricing." Sentiment analysis in an AI visibility checker evaluates whether the context surrounding your brand mentions is positive, neutral, or negative. Research targeting best practices recommends 80%+ neutral or positive sentiment across all mentions as a baseline benchmark. Negative sentiment is rare but damaging — it can suppress conversion even when your brand has strong visibility.

Prompt Coverage

Prompt coverage shows which specific questions your brand appears in — and which it doesn't. If a tool tracks 50 industry-relevant prompts and your brand appears in 15, your prompt coverage is 30%. More importantly, it reveals patterns: are you strong on awareness queries ("what is X?") but invisible on purchase-intent queries ("best X for [use case]")? Identifying coverage gaps by query intent is one of the most direct ways to prioritize your AI content strategy and close the gaps where competitors are winning business-driving conversations.

How to Check Your Brand's AI Visibility in 60 Seconds

Leapd's free AI visibility checker runs across ChatGPT, Gemini, Perplexity, and Google AI Overview simultaneously — no signup, no credit card required. Here's exactly how it works:

Step 1 — Enter your website URL. The checker uses your domain to identify your brand, industry, and product category automatically. You don't need to manually configure prompts.

Step 2 — Alex generates industry-relevant prompts. Based on your site, the tool builds a set of buyer-style questions your target audience realistically asks across AI platforms — questions about your category, your use case, and the problems you solve.

Step 3 — Prompts run across 4 AI platforms simultaneously. Each prompt is sent to ChatGPT, Gemini, Perplexity, and Google AI Overview. The responses are captured and analyzed for brand mentions, competitor rankings, citation sources, and sentiment.

Step 4 — You receive your AI visibility report. The report includes your overall visibility score, a platform-by-platform breakdown showing where you're strong and where you're invisible, a competitor leaderboard showing which brands are winning the prompts you're losing, and the specific citation sources AI platforms are trusting in your category.

The entire process takes 2–3 minutes from URL entry to results. The free report gives you a meaningful snapshot — enough to identify whether AI search is a gap worth addressing and which competitors are winning the conversations you're missing. For daily tracking across all 7 platforms (adding Claude, AI Mode, and Grok), paid plans on Alex by Leapd start at $39/month.

What Your AI Visibility Results Actually Mean

Your first AI visibility report will almost certainly surface a gap. The average B2B brand scores below 25% visibility on its most important category prompts. Here's how to interpret what you're seeing.

A low visibility score (under 20%) typically signals one of three problems: AI crawlers can't properly access your content; your site lacks the structured content and topical authority that AI platforms trust; or competitors have built stronger citation patterns through third-party sources like review sites, industry publications, and earned media.

A high competitor score (a rival at 60%+) reveals that the category is winnable — AI platforms are actively recommending brands in your space. Your competitor has earned that position through structured content, consistent external mentions, and technical AI-readiness. These are all improvable signals.

Gaps by platform are often more actionable than your overall score. You might score 40% on Perplexity but 8% on ChatGPT — meaning those two platforms use different source signals and require different optimization approaches. Understanding platform-specific gaps is where AI keyword research becomes essential: the prompts that drive visibility on Perplexity often differ from the ones that trigger ChatGPT recommendations.

Citation sources in your report show the exact domains AI platforms trust when answering questions in your category. These might be industry publications, G2 or Capterra review pages, Reddit threads, or competitor blog posts. Each source is a roadmap: get mentioned there, and you increase the probability of appearing in those AI responses.

A single snapshot is the starting point. The brands seeing measurable gains in AI share of voice are the ones running this analysis continuously — tracking week-over-week changes as they publish new content, fix technical issues, and build external authority signals.

Why Each AI Platform Shows Different Results for Your Brand

One of the most common surprises in a first AI visibility report: your brand scores 65% on Perplexity and 9% on ChatGPT for the same category prompts. This isn't a data error — it reflects how fundamentally different each platform's citation logic is.

ChatGPT (via its search-enabled mode) weighs recent web content heavily and tends to cite authoritative editorial sources, well-structured blog content, and pages that directly answer the query. It's the largest platform by user volume and tends to be the hardest to break into without a content footprint that matches its source preferences.

Perplexity is designed explicitly as a research engine and cites sources aggressively. It tends to pull from niche publications, community discussions (Reddit, forums), and recently published content. Brands with strong review site presence and active community mentions often perform disproportionately well on Perplexity relative to larger platforms.

Gemini draws on Google's knowledge graph and indexed web content, making it closely tied to traditional SEO signals — domain authority, structured data, and E-E-A-T signals. Strong Google organic performance and well-implemented schema markup tend to correlate with stronger Gemini visibility.

Claude prioritizes depth and accuracy. It responds well to long-form, structured content that demonstrates genuine expertise — detailed guides, technical documentation, and content with clear authorship signals. The platform consistently cites fewer sources than Perplexity but weights them more heavily.

This platform divergence is why competitor analysis tools that only monitor one or two AI engines give you an incomplete picture. A brand strategy built only on ChatGPT visibility misses the buyer population researching on Gemini and Perplexity entirely.

From Invisible to Cited: What to Do After Your Visibility Check

A free AI visibility check shows you the gap. Closing it requires a structured four-part workflow. Most teams that see significant visibility improvement within 60–90 days work through all four areas concurrently rather than sequentially.

Fix Your Website's AI Readiness (SEO Website Audit)

The most common reason brands are invisible in AI responses is technical, not strategic: AI crawlers can't access their content. Many sites unknowingly block GPTBot, ClaudeBot, and Google-Extended in their robots.txt file — meaning AI platforms can't read the pages they'd otherwise cite. An SEO website audit focused on AI readiness checks crawler permissions, evaluates whether you have an llms.txt file (the AI-era equivalent of a sitemap), audits schema markup quality, and measures Core Web Vitals. One VP of Growth at a fintech firm fixed 47 AI-readiness issues identified in a single audit and saw citation rates triple within weeks.

Research AI Keywords Your Competitors Are Winning

Traditional keyword research tools measure Google search volume. AI keyword research reveals which prompts people actually type into ChatGPT, Perplexity, and Gemini — and which brands are winning them. An AI keyword research tool surfaces prompt-level data: visibility percentage per prompt, average rank, search volume, and the top brand appearing in each AI response. This tells you exactly which questions to target with new content and which competitor pages are earning the citations you need to displace.

Build an AI Content Strategy Around Visibility Gaps

Content created for traditional SEO — optimized meta descriptions, keyword density, internal link structures — doesn't automatically translate to AI citations. AI platforms cite content that directly and completely answers questions, uses clear structure (headers, lists, FAQ sections), includes schema markup, and demonstrates topical depth. An AI content strategy built around your visibility gaps means creating articles, guides, and comparison pages specifically targeting the prompts where competitors appear and you don't. Each piece of content is a direct bid to appear in those AI responses.

Track and Monitor Daily Across All 7 Platforms

AI platform citation patterns shift regularly as models update training data and retrieval algorithms change. A one-time snapshot is a starting point, not a strategy. Daily tracking across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, AI Mode, and Grok lets you measure the impact of every content publish and technical fix in near real time — and catch competitor visibility gains before they compound. Monitoring that runs automatically and surfaces weekly trend analysis is what separates teams actively improving their AI search presence from those flying blind. The AI Visibility Blog at Leapd covers the evolving tactics as each platform's citation behavior changes.

How Leapd Alex Turns a Free Check Into a Full AI Search Command Center

Most AI visibility checkers give you a snapshot and stop. Alex by Leapd is built to turn that snapshot into a continuous optimization loop — combining tracking, auditing, competitor intelligence, and content generation in a single AI agent.

Here's what the platform does that a standalone checker doesn't:

AI Visibility Dashboard — Tracks brand mentions, citations, sentiment, and share of voice across 7 AI platforms: ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, AI Mode, and Grok. Each platform has its own visibility score so you can see that you're at 80% on Perplexity and 10% on ChatGPT — and optimize for the specific platform where your buyers are asking questions.

Website AI Audit — Crawls your site and checks every technical factor affecting AI-crawler access: robots.txt permissions for GPTBot and ClaudeBot, llms.txt implementation, structured data quality, and Core Web Vitals. The audit completes in 60 seconds and delivers a prioritized fix list. Most teams discover issues that explain why AI platforms ignore their site entirely — and most of those issues take minutes to resolve once identified. This is a comprehensive website audit tool built specifically for AI search readiness.

Competitor Intelligence — Real-time tracking of every competitor's AI visibility. The one-click "Beat a Competitor" playbook reverse-engineers a rival's winning prompts, citation sources, and platform strategy, then delivers a step-by-step plan to outrank them. As one SEO manager described it: "I click 'Beat a Competitor', pick a rival, and Alex hands me a step-by-step plan with the exact prompts they're winning."

AEO-Optimized Content Generation — Alex analyzes actual citation patterns from AI responses — what content formats AI platforms prefer, which sources they trust in your category, and where topical gaps exist — then generates full-length articles with inline images, citations, and schema markup. These articles are built around what AI search engines actually cite, not what ranks on Google. Starter plan includes 3 AI-optimized articles per month; Pro includes 10.

AI Copilot Strategist — Alex isn't a dashboard you stare at. It's an AI strategist you talk to. Ask it anything — "What's hurting my ChatGPT visibility?", "Which competitor is winning on purchase-intent prompts?" — and it pulls your live dashboard data to return specific, data-backed answers. Built-in playbooks include Weekly Visibility Report, Analyze Competitors, Content Planner, and Audit My Website.

Pricing: Starter at $39/month (50 tracked prompts daily, 100-page audit, 3 articles/month, competitor tracking). Pro at $149/month (100 prompts daily, 200-page audit, 10 articles/month, all playbooks, 4M AI copilot credits). Advanced at $399/month for agencies (400 prompts daily, 1,000-page audit, 40 articles/month). Free tier available — no credit card required.

For teams evaluating alternatives, see how Alex compares to Semrush's AI toolkit, SE Ranking's SE Visible, Profound, and Otterly.

Frequently Asked Questions About AI Visibility Checkers

What is AI search visibility and why does it matter? AI search visibility measures how often your brand is mentioned, cited, or recommended by AI platforms like ChatGPT, Gemini, Perplexity, and Claude when users ask questions in your product category. It matters because AI search interactions now represent a significant and growing share of total search volume, with buyers using AI assistants to research and shortlist vendors before ever visiting a website. If you're not visible in those answers, you're not on the shortlist — regardless of your traditional SEO performance.

How is an AI visibility checker different from a standard SEO rank tracker? An SEO rank tracking tool measures where your URLs rank in Google's list of blue links. An AI visibility checker measures whether AI models name or cite your brand when synthesizing direct answers — a fundamentally different signal. Traditional SEO tools can't see inside AI responses, can't detect whether AI crawlers are blocked from your site, and can't measure your share of voice against competitors in AI-generated answers. The two types of tools complement each other rather than overlap.

Which AI platforms should I prioritize in my visibility tracking? Start with ChatGPT, Google AI Overviews, and Perplexity — these three platforms drive the majority of AI-assisted discovery for most B2B and B2C categories. Add Gemini for audiences heavily using Google products, and Claude for professional and research-oriented queries. For B2B teams, Microsoft Copilot matters given its enterprise penetration. Each platform has different citation logic, so platform-specific visibility scores will diverge — and understanding those gaps is where competitor analysis SEO tools built for AI search become essential.

Can a free AI visibility check tell me what's hurting my score? A free check gives you a clear diagnosis: your visibility score, which platforms you're missing from, and which competitors are appearing instead. It surfaces the gap but typically won't tell you the cause — whether you're blocked by a robots.txt issue, missing the right content, or simply outranked by competitors with stronger citation patterns. For root-cause analysis, you need a full SEO website audit combined with AI readiness checks. That's where the paid tier of a tool like Alex adds the most immediate value.

How quickly can AI visibility improve after making changes? Most teams see measurable citation improvements within 3–8 weeks of publishing structured, AI-optimized content and resolving technical AI-readiness issues. Some brands have reported faster gains — one B2B SaaS marketing team went from 8% to 82% AI visibility in three weeks after Alex identified the gaps, generated targeted content, and fixed the AI-crawler access issues blocking their site. Timeline depends heavily on how quickly AI platforms refresh their retrieval data and how competitive your category is.

How much does AI visibility tracking cost? Entry-level monitoring tools start at $24–$29/month for basic prompt tracking. Mid-market platforms with solid multi-platform coverage run $89–$199/month. Full-stack platforms that combine tracking, website auditing, competitor intelligence, and content generation — like Alex — start at $39/month for Starter and $149/month for Pro. Enterprise solutions from Profound or Semrush's enterprise AIO run $1,000–$5,000+/month. Most platforms including Alex offer a free tier or trial with no credit card required.

Stop Guessing — Start Tracking Your Brand Across Every AI Platform

Right now, buyers in your category are asking ChatGPT, Perplexity, and Gemini which brand to choose. Those platforms are answering. If you don't know what they're saying about you — or whether they're saying anything at all — you're operating blind in a channel that's growing faster than traditional search.

A free AI visibility check takes 60 seconds and gives you the full picture: your score, your competitors' scores, and the specific platforms and prompts where you're losing ground. That's the baseline every AI search optimization effort starts from.

Check your brand's AI visibility for free →