A free AI visibility scan analyzes your website to determine whether AI language models can find, extract, and cite your content when users ask relevant questions. Most sites score below 40 out of 100 on their first scan — not because the content is bad, but because it isn't structured for how AI engines read and rank sources.
This guide explains what an AI visibility scan checks, why the results look different across ChatGPT, Perplexity, and Google AI Overviews, and what you should do first if your score is low.
What a Free AI Visibility Scan Actually Measures
AI visibility isn't a single metric. It breaks into a cluster of signals that vary by engine. A good scan checks all of them:
- Direct answer presence: Does the first 80 words of your page contain a clear answer to the primary question?
- Author and date visibility: Are structured author and publication date signals present in HTML or schema?
- Clean HTML structure: Are headings logical, is the DOM clean, are there no JavaScript-rendered walls blocking content extraction?
- Comparison tables: Do you use tables that AI engines can pull into answers?
- FAQ schema: Are FAQPage JSON-LD blocks present and well-formed?
- Entity clarity: Does your organization appear in Wikidata, Wikipedia, or other authoritative knowledge graphs?
- Source graph presence: Do trusted third-party surfaces — Reddit, YouTube, G2, LinkedIn — mention or link to you?
How ChatGPT, Perplexity, and Google AI Score Differently
| Signal | ChatGPT/OpenAI | Perplexity | Google AI Overviews |
|---|---|---|---|
| Direct answer in first 80 words | High weight | Very high weight | High weight |
| Reddit / community mentions | Medium | Very high (46.7% of sources) | Medium |
| Schema markup (FAQPage, Article) | Low direct impact | Low direct impact | Medium |
| Author/date visible | High | Medium | High |
| Wikidata/Wikipedia entity | Very high | High | Very high |
| Comparison tables | High | High | Medium |
The Ghost Citation Problem
Here's a data point that most visibility guides skip: 61.7% of AI citations are ghost citations — the URL is cited, but the brand name is never mentioned in the answer. This means you could be driving traffic from AI engines without any brand awareness building. A free AI visibility scan should flag whether your site is citation-ready or just mention-ready, because the two require different fixes.
Best For: Who Gets the Most Value From an AI Visibility Scan
This type of scan is best for B2B SaaS companies, consultants, and content-heavy brands that depend on organic discovery. If your buyers use ChatGPT or Perplexity to research vendors before contacting sales, your AI visibility score is a direct revenue lever.
The 6 Key Plays an AI Visibility Scan Informs
- Citation map: Which sources are currently cited when AI engines answer questions about your category?
- Page shape rewrites: Restructure top pages so the first 80 words deliver a direct answer.
- Source-jacking trusted surfaces: Get mentioned on Reddit threads, YouTube reviews, and G2 profiles that AI engines already trust.
- Original data: Publish proprietary research that becomes the citation source rather than a secondary one.
- Entity clarity via Wikidata: Create and verify your Wikidata entry so AI engines recognize your brand as a distinct entity.
- AI attribution instrumentation: Track which AI-referred sessions convert, so you can measure what's working.
A free scan gives you a starting score on all six dimensions. It won't fix your visibility — but it tells you exactly where you're leaking citations and where to focus first.
What to Do After Your Scan
If your overall score is below 50: start with page shape rewrites and FAQ schema. These are the fastest wins.
If you're 50–70: focus on source graph building — get your brand mentioned on trusted third-party platforms.
If you're above 70: invest in original data and Wikidata entity clarity to move from mention-ready to citation-ready.
Run a free AI visibility scan on your site to see exactly where you stand.
Frequently Asked Questions
What is an AI visibility scan?
An AI visibility scan analyzes your website's content structure, schema markup, and source graph presence to determine how likely AI engines like ChatGPT and Perplexity are to find and cite your content.
Is an AI visibility scan the same as an SEO audit?
No. Traditional SEO audits focus on Google's ranking algorithm. AI visibility scans focus on extraction quality — whether AI models can pull your content into answers, not just rank your pages.
How often should I run an AI visibility scan?
Monthly is a practical cadence. AI engine behavior shifts frequently, and content updates on competitor pages can change your relative visibility even if you haven't changed anything.
What score is considered good?
A score above 70 indicates your site is citation-ready for most AI engines. Below 50 means there are structural issues that are actively suppressing your citations.
Does schema markup guarantee AI citations?
No. Schema is hygiene — it helps AI engines interpret your content, but it isn't a citation lever on its own. The real work is in page shape, source graph, and entity clarity.