AnswerixAI
Site Audit

AI visibility audit: score any page on 47 AEO and GEO signals

An AI visibility audit checks whether a page is easy for AI engines such as ChatGPT, Perplexity and Google AI Overviews to read, trust and cite. Site Audit is AnswerixAI's audit for individual pages. Paste any public URL and in about 30 seconds it scores the page from 0 to 100 on 47 signals for AEO (answer engine optimization) and GEO (generative engine optimization). The signals span structure, content, authority, E-E-A-T and trust. The ones a page fails or flags become fixes, many written for that page with copy-ready text.

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Anthropic
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Brainwrite.in
Palzin Private Limited
GetBizApps
Bizwachat
SmartBizAds
The 47-signal rubric

What does the AI visibility audit check?

Every page is scored on the same rubric. We built it from published research, such as the GEO paper by Aggarwal et al. and Google's E-E-A-T (experience, expertise, authoritativeness and trust) guidelines. Each signal passes, warns or fails. A category's score is the average of its signals, and the total weights the five categories. When we can't evaluate a signal on a page, we leave it out instead of counting it as zero. The report says how many of the 47 were checked.

How easily an AI engine can parse the page: heading depth, H1 quality and H2 coverage, and JSON-LD (structured data that labels what a page is about) presence, validity and type relevance. It also checks FAQ schema, lists, tables, image alt text, Open Graph metadata, internal links and page weight, with pages over 500 KB flagged.

The audit report

What do you get back from each audit?

One report per URL: the score, what failed and why, and the fix, ready to hand to whoever edits the page.

The report opens with the page’s score from 0 to 100 and a grade: Good from 70, Needs work from 40, Poor below that. Beside it are the passed, warning and failed counts, how many of the 47 signals were evaluated, and a score for each category. Export any completed audit as a PDF or re-run it with one click.

Where a tailored fix helps a failing or warning signal, an AI model reads the page and writes a recommendation for its topic, ranked high, medium or low. Many come with a draft and a copy button: a sharper H1, a meta description, an answer-first opening, FAQ pairs with FAQPage JSON-LD, inline definitions or sources to cite.

Expand any signal to read what the audit found on this page, what the signal measures and why it matters for AI answers, followed by the page-specific fix or the rubric’s general one. Signals are grouped by category, and an Issues only filter hides everything that passed so you can work down the list.

Ask the AnswerixAI AI Agent to audit a URL and it shows the result as a score card in the chat. You can also call run_site_audit from any MCP (Model Context Protocol) client connected to AnswerixAI. The audit runs in the background and get_site_audit returns the scores and recommendations once it completes. These audits use the same monthly allowance as the dashboard.

Where to use it

Which pages should you audit?

Any page that loads publicly can be audited, not just your own. Every URL is scored on the same 47 signals, so a draft, a live page, a competitor's page and a page AI engines cite can be compared category by category.

  1. 01

    Pages before they go live

    Audit a draft on a staging or preview URL that loads without a login, and fix a missing answer, schema block or byline before launch.

  2. 02

    Pages that already matter

    Find the weak headings, buried answers and unsourced claims holding back the pages you most want AI engines to use.

  3. 03

    Competitor pages

    Run a rival’s URL through the same rubric and weights, then compare its five category scores with your own page’s.

  4. 04

    Pages AI engines cite

    Audit URLs that keep appearing as sources in Citations Monitoring to see which structure and evidence they share.

Progress

How do you know the fixes worked?

Ship the changes, then audit the page again. The Site Audit page charts the score of every completed audit on your primary domain over 7, 30 or 90 days or all time. The latest category breakdown sits beside it, so you can see which part of the score moved.

  • Re-run in one click

    Every report has a re-run button that audits the same URL again and opens the new result.

  • One point per day

    Several audits on one day collapse to the latest, so the line shows real day-to-day change.

  • Your primary domain

    The chart follows pages on the brand’s primary domain; other audits stay in the recent list.

Practical workflow

How does a site audit work?

Five steps take a page from a URL to a measured improvement. Only audits that complete count toward your monthly allowance: 100 on Starter and Growth, 500 on Business.

  1. 1

    Paste a URL

    Any public page. Sites that block plain requests are loaded in a headless browser.

  2. 2

    Score

    47 signals in about 30 seconds, rolled up into five weighted category scores.

  3. 3

    Prioritize

    Start with high-priority fixes and the high-impact signals that failed.

  4. 4

    Fix

    Paste the drafts into the page or send them to whoever owns it.

  5. 5

    Re-audit

    Run it again and watch the score and categories move on the chart.

Customer stories

What do teams do with an AI visibility audit?

“What impressed us was being able to move from a site audit to actual fixes. Instead of receiving a generic score, our team could see prioritized AEO and GEO issues, understand the visibility gap and decide what to address first.”

Ananya KapoorHead of Growth, UrbanNest RetailIndia

FAQ

AI visibility audit FAQ

See How AI Engines Read Your Pages

Use AnswerixAI to grow AI Search visibility with AEO and GEO.