Sample output

This is what
your data looks like.

Every panel, column and score below is the one the tool produces — filled with example figures, so you can see the shape of the report before you run your own.

agencydashboard.biz/share/ai-audit/…
86/ 100

AI readiness

clientsite.com

23 checks · 19 recommendations

AI SEO

92

Google SEO

79

Foundations

79

AI bots allowed

13/13

llms.txt

Present

LCP

3.1s

CLS

3.00

Every check, scored

12 of 23 shown
  • AI Crawler Access100

    13 of 13 AI bots are allowed.

  • llms.txt Standard100

    llms.txt is present, with llms-full.txt.

  • Structured Data95

    3 JSON-LD blocks — WebPage, BreadcrumbList, ListItem.

  • Heading Hierarchy95

    95 headings · 1 H1 · 14 H2 · 13 skips.

  • E-E-A-T Signals88

    Author: none · Published: yes · Citations: 26.

  • Entity Clarity88

    Title and H1 share no significant words.

  • Answer-First Formatting71

    Lead: 24 chars · FAQs: 0 · Lists: 362 · Tables: 0.

  • Image Optimization83

    120 images · 55% modern format · 16% lazy · 99% alt text.

  • Resources & Delivery83

    50 scripts · 13 stylesheets · 287.6 KB HTML · brotli.

  • HTTP Security Headers66

    2 of 6 security headers present.

  • Core Web Vitals54

    Perf 54 · A11y 86 · SEO 92 · LCP 3.1s · CLS 3.00.

  • Carbon Footprint30

    ~3.39 g CO₂ per visit · grade F.

One URL scored 86/100, plus a 20-keyword sweep of four answer engines. Example data.

How it works

Three steps.
Then it's a report you can send.

  1. 01

    Paste a URL

    No login, no tag, no verification. One page URL is the whole input.

  2. 02

    It reads the page the way a model does

    Crawler rules, llms.txt, structured data, answer formatting, authorship, entity clarity, readability — plus Core Web Vitals, headers, SSL and the tech stack.

  3. 03

    Then it asks the engines

    It runs your keywords through four AI surfaces and reports which ones cite you, in what position, and which ones don't.

In detail

Everything it checks,
and why it matters.

  • AI crawler access

    Whether GPTBot, ClaudeBot, PerplexityBot and the rest are actually allowed — a single robots.txt line can make you invisible.

  • llms.txt

    The emerging standard for telling a model what your site is and which pages matter.

  • Answer-first structure

    Lead paragraphs, FAQs, lists and tables — the shapes an answer engine can lift verbatim.

  • E-E-A-T signals

    Author bylines, dates and citations: what a model weighs when it decides whether you are worth quoting.

  • Entity clarity

    Whether your title, H1 and schema agree on who you are, so the model resolves you to the right entity.

  • Structured data

    Every JSON-LD block on the page, the types it declares, and what is missing.

  • Core Web Vitals

    Lighthouse performance, accessibility, best practices and SEO, with LCP and CLS called out.

  • Security and delivery

    Security headers, TLS, cookie hygiene, render-blocking scripts, image formats and page weight.

  • AI presence across four engines

    ChatGPT, Gemini, Perplexity and Google AI Mode, keyword by keyword — cited or not, and where.