Inspect the technical conditions that determine whether important website information can be retrieved and parsed — from crawler access and page responses to initial HTML, metadata and structured data.
What AI readability means
AI readability is the observable technical layer underneath AI search visibility. Before asking whether an AI system mentions your company, you can first inspect whether important information is accessible through the responses, HTML and machine-readable signals available on your site.
Growthract Audit does not treat readability as a predictive ranking score. It exposes the underlying technical evidence so you can distinguish a real accessibility problem from a guess about proprietary model behavior.
Five readability layers
Each layer is grounded in something observable on the website rather than a hidden model score.
Inspect robots.txt, important routes and crawler-facing rules to identify whether access is explicitly restricted before retrieval even begins.
Check whether important pages return usable responses rather than redirects, errors or other conditions that make retrieval unreliable.
Inspect whether important product and company information is present in the initial HTML instead of depending entirely on browser-side rendering.
Review page-level signals that help systems identify what a URL represents and which version should be treated as canonical.
Inspect JSON-LD and other machine-readable information that can reinforce visible company, product and page relationships.
How it works
Growthract Audit turns technical website signals into a structured diagnostic instead of asking you to interpret raw source code on your own.
Start with the site or specific URLs you want Growthract Audit to inspect.
Growthract Audit checks the page response, crawler-facing files, HTML, metadata, headings and structured data available to inspect.
Findings are tied to observable pages, fields or responses instead of being hidden behind a single predictive score.
The result turns technical gaps into specific actions so you can focus on the issues that are actually visible in the evidence.
Example findings
AI crawler access is explicitly allowed.
The crawler is not blocked by this file. That does not prove it has visited the site.
Important product copy is present before browser rendering.
The information is technically retrievable from the initial response rather than relying entirely on client-side JavaScript.
The page declares a self-referencing canonical.
The preferred URL is machine-readable and consistent with the page being inspected.
Organization or product JSON-LD is present.
Machine-readable context exists, but it still needs to match what users can visibly read on the page.
Evidence boundary
Readability can support:
Readability does not prove:
Continue the investigation
Frequently asked questions