ConduitScore

See Why AI Ignores Your Site — Fix It in Minutes

ConduitScore scans 46 real AI visibility signals across 7 categories — from crawler access and structured data to llms.txt, llms-full.txt, and agent meta tags — then shows you the highest-impact fixes first. Results in about 15 seconds. Free, no signup.

Example scan result

example.com

AI Visibility Score

/ 100

Needs improvement
Crawler Access82
Structured Data61
LLMs.txt40
Content Structure90
Technical Health78
Citation Signals55
Content Quality71

Top issues holding this site back

  • Missing /llms.txt
  • No Organization schema
  • Missing Open Graph description

First fix to implement

User-agent: GPTBot Allow: / User-agent: OAI-SearchBot Allow: /

See the full issue breakdown and the highest-impact fixes first.

Most sites do not have one big AI visibility problem — they leak visibility through small technical gaps. ConduitScore shows you which issues matter first.

What is AI Visibility?

AI visibility is the degree to which your website's content is discoverable, readable, and citable by AI agents like ChatGPT, Claude, Perplexity, and Gemini.

A SaaS company might rank first on Google for “project management software,” but if ChatGPT cannot parse their pricing structure from structured data or extract a clear product summary from their homepage, the product will not appear in AI-generated comparisons and recommendations. Google and AI agents evaluate websites on fundamentally different criteria. Google cares about relevance to search queries. AI agents care whether they can reliably extract, verify, and attribute your content.

ConduitScore measures this visibility across 7 core categories—from crawler access and structured data to llms.txt and content quality. Your score reflects how ready your site is to be cited by AI systems.

Your site looks fine to Google. It's invisible to AI.

SEO tools show you how you rank in search results. But AI agents like ChatGPT, Claude, and Perplexity see your site completely differently. They have stricter requirements for crawler access, structured data, content clarity, and citation signals. Miss even one of these 46 critical signals, and your site becomes invisible to AI-generated answers — no matter how well it ranks in Google. Learn how we measure AI visibility.

  • Blocked or unclear crawler access
  • Weak or missing schema
  • Missing or incomplete llms.txt — and no companion agent files
  • Poor machine-readable content structure

See exactly what AI agents see when they read your site.

ConduitScore checks all 46 signals across 7 categories that AI agents evaluate before citing your site.

Crawler Access

  • GPTBot detection
  • ClaudeBot access
  • PerplexityBot access
  • OAI-SearchBot detection
  • Explicit Allow rules
  • Sitemap.xml fetch

Structured Data

  • Organization schema
  • WebSite schema
  • BreadcrumbList detection

LLMs.txt File

  • llms.txt presence & structure
  • llms-full.txt companion file
  • link rel="llms-full" meta tag
  • link rel="agent-manifest" meta tag

Technical Health

  • Canonical tags
  • Noindex penalties
  • HTTPS enforcement

Citation Signals

  • Contact page presence
  • Entity signals
  • Trust signals

Content Structure

  • Intro paragraph
  • Semantic HTML elements

Content Quality

  • Title tag quality
  • Meta description length

46 signals total — More than any competing AI visibility tool. Each one determines whether ChatGPT, Claude, and Perplexity can understand, trust, and cite your content.

Most score below 50

most sites are missing basic AI visibility signals

15s

from URL to full diagnostic report

Many sites score lower than expected because they are missing basic machine-readability signals.

How it works

Paste your URLEnter any public website page you want to evaluate.
We scan how AI systems read itConduitScore checks the key technical and content signals that affect AI visibility.
Get your score and prioritized fixesSee what is helping, what is hurting, and what to fix first.

5 Reasons Most Sites Score Lower Than They Expect

AI visibility problems are rarely obvious. Most of them are invisible to humans but fully measurable. Understand how AI SEO differs from traditional SEO.

01

Your robots.txt blocks AI crawlers without you knowing

GPTBot, ClaudeBot, and PerplexityBot are opt-out crawlers — they respect robots.txt directives meant for other bots. An overly broad Disallow rule added years ago can silently exclude your site from every major AI index. Cloudflare's August 2024 data found that 35.7% of the world's top 1,000 websites block OpenAI's GPTBot — a seven-fold increase from the 5% blocking rate when the crawler launched.

02

You have no llms.txt file

llms.txt is an emerging open standard (analogous to robots.txt) that tells AI models what your site is about, which pages matter most, and how to attribute your content. The vast majority of sites have never created one, leaving AI models to guess at your content's purpose and authority. A step further: sites with a companion /llms-full.txt file — and <link rel="llms-full"> and <link rel="agent-manifest"> meta tags in their HTML — are signaling full agent-readiness, the equivalent of rolling out a welcome mat for autonomous AI systems.

03

Your structured data is missing entity signals

Organization and WebSite schema markup tell AI systems who you are and what you do — not just what a page contains. Without these entity signals, AI models have no reliable way to connect your content to a named entity, which reduces citation frequency and answer attribution.

04

Your content is readable to humans but not to machines

Dense JavaScript-rendered text, missing semantic heading hierarchies, and content buried inside complex layouts can all prevent AI crawlers from extracting clean, attributable text. ConduitScore checks for these structural patterns directly — the same patterns that cause AI systems to skip or misinterpret your pages.

05

You assume Google rankings equal AI visibility

SEO and AI visibility are related but different optimization targets. Google ranks pages. AI models cite sources they can parse, trust, and attribute. A page can rank on page one and still be invisible to every AI system — because the signals that matter for AI (crawl access, entity markup, llms.txt, structured summaries) are simply not part of traditional SEO.

Want to see which of these apply to your site?

Who this is for

SEO teams and agencies

Show clients what is stopping AI tools from reading and recommending their content.

SaaS marketers

Find the technical and content issues that make your site harder for AI tools to surface.

E-commerce brands

Make product and category pages easier for AI systems to understand and recommend.

How visible is your site to AI systems?

What ConduitScore checks

We scan the technical and content signals that affect whether AI systems can access, understand, and cite your site.

ConduitScore evaluates real technical and content signals that influence how AI systems interpret your site — not vanity metrics.

Common questions

Is this free?

Yes. 3 scans per month, no account required.

What does the score measure?

Seven technical and content signals that affect whether AI systems like ChatGPT, Claude, and Perplexity can access, understand, and cite your content.

Will this slow down my site?

No. ConduitScore reads public HTML exactly as a search engine or AI crawler would.

How is this different from a regular SEO audit?

SEO tools tell you how you rank in search engines. ConduitScore shows whether AI systems can read, interpret, and surface your site in AI-generated answers.

How do I fix a low score?

Each scan returns prioritized fixes with copy-paste code snippets. Biggest gains typically come from structured data and adding an llms.txt file.

Scan My Site Now

Find out how AI systems read your site — and what to fix first. See what a high score looks like or see how SaaS companies use ConduitScore.