Scan any domain for its DR, backlinks, AI Visibility Score, llms.txt status, schema health and top opportunities — in one instant snapshot.
Free to scan · No credit card · Works on any public domain
Everything this snapshot measures, why each signal matters, and exactly how to improve it.
Search is changing. People increasingly get answers from AI assistants — ChatGPT, Claude, Perplexity and Google's AI Overviews — instead of scrolling a list of blue links. To be recommended by these systems, your website has to be findable, crawlable and machine-readable. This tool checks all three layers at once:
The score is a 0–100 figure built from eight technical checks. Each one is a yes/no signal that influences whether AI models can access and understand your pages. Here is what each check means and why it matters.
Your site must be served over a secure connection. AI crawlers and search engines distrust and often skip insecure (HTTP) pages, and browsers flag them as 'Not secure'.
A concise, unique 120–160 character summary per page. AI models and search snippets use it to understand and preview what a page is about.
og:title, og:description and og:image control how your pages look when shared and help machines parse your core metadata reliably.
One clear H1 followed by logical H2/H3s gives content a machine-readable outline. AI assistants lean on this hierarchy to extract and quote the right sections.
Structured data labels your content (Article, FAQ, Product, Organization). It is one of the strongest signals for getting cited in AI answers and rich results.
A file at yoursite.com/llms.txt that points LLMs to your most important pages. Increasingly used by AI assistants to navigate and summarise sites accurately.
Beyond merely existing, the file should follow the expected Markdown structure with clear sections and links so models can parse it without errors.
Your robots.txt should permit reputable AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). Blocking them removes you from AI-generated answers.
Alongside the AI checks, the snapshot pulls third-party authority data. These are estimates, not exact numbers — use them as directional benchmarks you track over time, and to compare yourself against competitors.
A 0–100 score of your backlink profile's strength. Higher DR generally correlates with the ability to rank for competitive terms.
Moz's comparable 0–100 prediction of ranking ability. Useful as a cross-check against DR rather than an absolute figure.
Measures the quality and trustworthiness of the sites linking to you — quality over raw quantity.
The total number of inbound links pointing at your domain. Volume matters, but relevance and quality matter more.
How many unique websites link to you. A hundred links from a hundred domains is far stronger than a hundred from one.
An estimate of how risky your link profile looks. A high spam score can drag down rankings and signals a need to audit and disavow toxic links.
llms.txt is a plain-text (Markdown) file placed at the root of your domain — yoursite.com/llms.txt. Think of it as a curated sitemap written for large language models. Instead of forcing an AI to crawl and guess at your most important pages, you hand it a clean, prioritised list with short descriptions.
It is an emerging standard, not yet universal — but as AI search grows, an accurate llms.txt makes it far more likely that assistants summarise and cite your content correctly. A minimal example looks like this:
# Your Company > One-line description of what you do. ## Docs - [Getting started](https://yoursite.com/docs/start): Set up in 5 minutes - [API reference](https://yoursite.com/docs/api): Full endpoint list ## Key pages - [Pricing](https://yoursite.com/pricing): Plans and limitsGenerate a valid llms.txt for free
Schema is structured data (usually JSON-LD) that explicitly labels what your content is — an Article, a Product, an FAQPage, an Organization. Humans read your page and infer meaning; machines need it spelled out. Clean schema is one of the strongest levers for being extracted into AI answers and rich search results, because it removes ambiguity about what each page contains.
Start with the schema types that match your content: Organization and WebSite on your homepage, Article on blog posts, Product on store pages, and FAQPagewherever you answer common questions. Validate it with Google's Rich Results Test before shipping.
AI assistants rely on dedicated crawlers to fetch web content. If yourrobots.txt blocks them, you opt out of being cited in their answers. The most common AI crawlers today include:
To explicitly welcome them, your robots.txt can be as simple as:
User-agent: GPTBot Allow: / User-agent: ClaudeBot Allow: / User-agent: PerplexityBot Allow: /