AI Access
Well configured for AI bot access
Discover how well your website is optimized for AI visibility and get actionable insights to improve it.
Analyzing your website…
Search behavior has shifted. Over 60% of users in the US and UK now ask AI assistants instead of typing into Google. ChatGPT, Perplexity, Claude, and Google AI Overviews pull answers from websites — but only from those they can access and understand.
If AI crawlers can’t reach your content, or your site lacks the structured data these systems rely on, you’re invisible to a growing share of your audience.
This isn’t a future problem. It’s already affecting traffic, lead generation, and brand awareness across every industry — from crypto and fintech to e-commerce and SaaS.
The question isn’t whether you need AI search optimization. It’s how much visibility you’re losing right now.
Our tool runs a comprehensive audit across four categories that determine how AI systems discover, crawl, and interpret your website.
We parse your robots.txt and check access permissions for 8 major AI crawlers: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended (Gemini), CCBot, Bytespider, and others. The tool distinguishes between full access, partial restrictions, and complete blocks — and identifies whether critical content paths like /blog, /services, or /faq are accessible.
Blocking the wrong bot costs you visibility in that AI system entirely. Many sites block AI crawlers by default without realizing it.
AI systems need well-structured content to extract accurate answers. We evaluate heading hierarchy (H1–H6), meta descriptions, title tags, Open Graph and Twitter Card markup, image alt text coverage, semantic HTML elements (<article>, <section>, <main>), and internal linking depth.
Poor content structure means AI can technically reach your page but can’t make sense of it — leading to misrepresentation or exclusion from AI-generated answers.
Schema.org markup in JSON-LD format is the most direct way to communicate with AI systems. We scan for Organization, WebSite, Article, FAQPage, HowTo, Product, Service, LocalBusiness, BreadcrumbList, and Person schemas.
Sites with rich structured data are significantly more likely to appear in AI-generated responses — especially for commercial and informational queries.
We check HTTPS status, HTTP response codes, page load speed, redirect chains, XML sitemap presence and validity, and llms.txt file — an emerging standard that provides AI crawlers with explicit instructions about your content.
A slow, redirect-heavy site with no sitemap tells AI crawlers your content isn’t worth indexing.
Step 1. Enter your URL
Paste any website address. The tool automatically normalizes to the root domain and runs the full analysis.
Step 2. Get your AI visibility score
In under 30 seconds, you receive an overall score (0–100) broken down across all four categories, color-coded by performance tier: Poor (0–44), Fair (45–64), Good (65–79), Excellent (80+).
Step 3. Review detailed findings
See exactly which AI bots can access your site, which structured data is present or missing, where your content structure breaks down, and how your technical setup performs.
Step 4. Act on prioritized recommendations
Every issue comes with a priority level, difficulty rating, estimated fix time, ROI score, and — where applicable — copy-paste code examples. Recommendations are ranked by impact-to-effort ratio so you fix the highest-value issues first.
Step 5. Share or export
Download a PDF report, generate a shareable link (valid for 30 days), or email the report directly to your team or client.
SEO teams and agencies use the AI visibility checker to add a new dimension to their audits. Traditional SEO tools don’t check whether ChatGPT or Perplexity can actually access and cite your client’s website.
Marketing managers use it to understand how AI search reshapes their brand’s discoverability — and to build a business case for generative engine optimization investment.
Developers and CTOs use the technical checklist to identify robots.txt misconfigurations, missing schema markup, and infrastructure issues that block AI crawlers.
Business owners use it to get a fast, clear answer to one question: can AI find my business?
Traditional SEO optimizes for Google’s ranking algorithm — keywords, backlinks, page authority. AI visibility optimizes for how large language models discover, access, and cite your content.
| Traditional SEO | AI Visibility | |
|---|---|---|
| Goal | Rank in search results | Appear in AI-generated answers |
| Key signals | Backlinks, keyword density, DA | Structured data, bot access, content clarity |
| Crawlers | Googlebot, Bingbot | GPTBot, ClaudeBot, PerplexityBot |
| Content format | Keyword-optimized pages | Clearly structured, schema-rich content |
| Measurement | Rankings, CTR, impressions | AI citation rate, bot access status, schema coverage |
| Emerging standard | Core Web Vitals | llms.txt file |
Both matter. But if you’re only tracking Google rankings, you’re missing half the picture. LLM SEO is a distinct discipline — and it starts with knowing your current visibility.
An AI visibility checker is a diagnostic tool that analyzes whether your website can be discovered, crawled, and correctly interpreted by AI systems like ChatGPT, Claude, Perplexity, and Google Gemini. It evaluates bot access permissions, content structure, structured data, and technical infrastructure — then returns a score with actionable recommendations.
Regular SEO focuses on ranking in traditional search results. AI visibility focuses on whether large language models can access your content and cite it in AI-generated answers. The signals are different: structured data, robots.txt bot permissions, content clarity, and semantic HTML matter more than backlinks or keyword density.
Generative engine optimization is the practice of optimizing content specifically for AI-powered search engines and answer systems. While traditional SEO targets Google’s ranking algorithm, GEO targets how LLMs select, interpret, and present information from your website. This includes structured data markup, clear content hierarchy, and ensuring AI crawlers have access to your pages.
The checker evaluates access for 8 AI crawlers: GPTBot (ChatGPT/OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended (Gemini), CCBot (Common Crawl), Bytespider (ByteDance), anthropic-ai, and cohere-ai. Each bot is scored by access level — full, partial, limited, or blocked.
llms.txt is an emerging standard — similar to robots.txt — that provides AI systems with explicit instructions about your website’s content, structure, and preferred citation format. It’s not yet widely adopted, which makes it an early competitive advantage for sites that implement it.
After any major site change — CMS migration, robots.txt update, new content deployment, or structured data modifications. For active sites, a monthly check catches configuration drift before it impacts your AI discoverability.
Yes. The AI visibility checker is completely free with no registration required. Enter your URL and get a full report with scores, detailed findings, and prioritized recommendations.
Trusted by 650+ clients. Powered by ICODA — the #1 crypto, iGaming and AI SEO marketing agency.
Comprehensive AI discoverability analysis
Well configured for AI bot access
Basic structured data present
Technical issues detecteds
AI Access Control
Content Structure
Structured Data
Technical Infrastructure
Bot
Status
Score
OpenAI’s web crawler for ChatGPT
Anthropic’s web crawler for Claude
Perplexity AI’s web crawler
Google’s AI training crawler (Gemini)
HTTPS
Yes
Response Time
400 ms
XML Sitemap
Not found
llms.txt
Found
HTTP Status
200
Redirects
10 redirect(s)
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