Free AI SEO Audit Tool: Audit Any URL in About a Minute
Paste a URL. Get back a ranked list of what is broken, plus the top fix written as a prompt you drop into your coding agent. That is the whole tool.
HubSEO is a free AI SEO audit tool for people who fix their own sites. It loads your page in a real browser, tests it the way Google and AI crawlers see it, ranks every problem by search impact and indexability, and turns the highest-impact fix into a prompt you can paste into Cursor, Claude Code or GitHub Copilot. You do not get a 40-page PDF you will never read. You get one task, ready to run.
No signup required · Real browser rendering · Impact-ranked fix prompts
Key takeaways
- 1The audit tests a live URL: rendered DOM, Core Web Vitals, indexability, structured data and AI crawler access: not a cached copy.
- 2Every issue is ranked by technical severity and crawl impact, prioritizing search blockers and Core Web Vitals regressions first.
- 3The top fix comes out as a prompt with acceptance criteria and a verify step, not a line in a spreadsheet.
- 4No signup for your first audit. Free tier: one audit every 30 days, three a month with a free account.
- 5Built for developers and technical founders who ship with AI coding agents.
What the free AI SEO audit checks
We load your URL in a headless Chromium, render it on mobile and desktop, and run the checks that decide whether a page can rank and whether an AI answer engine can quote it.
HTTP status, canonical tag, robots meta, noindex, and whether your content exists in the rendered DOM or only after JavaScript runs.
Lighthouse lab diagnostics for LCP, CLS and TBT. Origin-level, real-user LCP, INP and CLS at the 75th percentile are included only when CrUX is configured and data is available; lab results describe this capture only.
Your robots.txt rules, and whether AI search bots (PerplexityBot), model-training crawlers (GPTBot, ClaudeBot), and product controls (Google-Extended) are allowed to fetch the page.
JSON-LD validity, llms.txt availability, plain-text parseability, and heading structure for extractable answer engines.
Every finding gets a severity and an estimated impact. That ranking is what makes the output usable.
How it works in three steps
No account, no install, no extension. Any public page.
The page is fetched and rendered in a real browser, so you get the same DOM a crawler sees. Findings are sorted by impact, not alphabetically and not by category.
The top fix arrives as a scoped task. Open Cursor, Claude Code or Copilot, paste it, and let the agent make the edit. Re-run the audit to confirm the issue is gone.
Most audits finish in about a minute.
Why an AI SEO audit beats a checklist report
A classic crawler is built for a human analyst. It hands you a flat table: 340 images without alt text, 12 pages with duplicate titles, six redirect chains. Everything is listed. Nothing is prioritised, and none of it is written in a form an agent can execute. You still have to read the table, decide what matters, translate the finding into a task, and brief the model yourself.
An AI SEO audit flips that. The unit of output is a task, not a finding.
| Classic crawler output | Prompt output |
|---|---|
| A flat list of issues | Issues ranked by estimated impact |
| "Compress your images" | The exact element, its byte size and the edit to make |
| You translate findings into tasks | The task is already written for an agent |
| Re-check by hand after each fix | Acceptance criteria plus a verify step |
| A report for a person | A prompt for Cursor, Claude Code or Copilot |
The gap is the last mile. Finding the problem is easy. Turning it into a correct, verifiable change is the part that eats your afternoon, and it is the part most tools leave to you.
How the prompt uses audit evidence
Each prompt is generated from the saved report for the URL you audited. It uses only findings and measurements recorded for that report; field metrics appear only when origin-level CrUX data is available. No sample measurements are substituted when evidence is missing.
Who it is for
- Developers who fix their own SEO. You know the fix. You do not want to reverse-engineer a priority order from a CSV export.
- Technical founders. You shipped with an AI agent and you would rather get one clear task than a dashboard you will log into once.
- Full-stack teams using Cursor, Claude Code or Copilot. The audit output is already in the format those tools consume.
- SEOs who hand work to engineers. Stop writing tickets by hand. Hand over a prompt instead.
This isn't for you if you need a white-logo PDF report to email a client. Audit-report tools already do that job.
Free vs paid limits
| Capability | Free | Paid (Fix Pack) |
|---|---|---|
| Audits | 1 per 30 days (3/month with account) | One saved report and one verification within 30 days |
| Issue ranking | Yes | Yes |
| Top fix as a prompt | Yes | Yes |
| Full prompt set for URL | Single top prompt | Fix Pack |
| Price | £0 | £39 per URL |
The free tier is enough to find and fix your highest-priority technical barrier. The Fix Pack allowance is one saved report and one verification within 30 days, not extra audit runs per URL. Lab diagnostics reflect one capture, while optional origin-level CrUX field data reflects real-user measurements only when coverage exists. If evidence is unavailable, we leave it out rather than guess.
Frequently Asked Questions
Is the AI SEO audit really free?
Yes. You can run an audit and get a ranked issue list plus the top fix prompt at no cost. The paid Fix Pack adds full prompt sets per URL.
Do I need to sign up?
No signup for your first audit: paste a URL and go. A free account raises the limit from one audit every 30 days to three a month.
Can it audit a staging site or localhost?
It audits any URL the checker can reach over the public internet. Staging sites behind basic auth or an IP allowlist, and localhost, aren't reachable from outside, so put the page behind a temporary public URL if you need it tested.
Does it work with Cursor, Claude Code and GitHub Copilot?
Yes: the prompt is plain Markdown text you paste into any of them, or into a terminal agent. It is tool-agnostic on purpose.
What does the prompt output replace?
It replaces the manual step where you read a finding and rewrite it as a task. You still review the change and re-run the audit to confirm it worked.
What Core Web Vitals data does the audit provide?
A lab capture reports capture-specific LCP, CLS and TBT diagnostics; it does not measure INP or represent the 75th percentile of real-user visits. When available, optional origin-level CrUX data reports real-user LCP, INP and CLS at the 75th percentile over the prior 28 days.
What does the Fix Pack include?
The Fix Pack allowance is one saved report and one verification within 30 days. It does not include extra audit runs per URL.
Sources & Documentation
- Web Vitals and Core Web Vitals thresholds (web.dev)
- Robots.txt introduction and guide (Google Search Central)
- Google's common crawlers and Google-Extended (Google Crawling Infrastructure)
- AI features and SEO best practices (Google Search Central)
- Introduction to structured data markup (Google Search Central)
- llms.txt proposal specification (llmstxt.org)