Agentic ReachMeasurement · Server-Side

Does the AI actually fetch your content? Agentic Reach measures it.

At Klariton, GEO means: publish verified answers so ChatGPT, Perplexity, Gemini and Claude can read them. Agentic Reach shows whether these systems actually fetch them, measured server-side and broken down by provider, touchpoint and product.

Check GEO readiness

Server-side · llms.txt & agentic feed · real bot reads, not JS pixels

GPTBot/features/biq-answersOpenAIcrawl14:22:07
ChatGPT-User/solutions/fachhandelOpenAIon-demand14:22:05
ClaudeBot/magazine/aeoAnthropiccrawl14:22:04
PerplexityBot/pricingPerplexitycrawl14:22:02
Perplexity-User/features/chat-advisorPerplexityon-demand14:22:01
Google-Extended/solutions/autohandelGooglecrawl14:21:59
OAI-SearchBot/sitemap.xmlOpenAIon-demand14:21:58
The problem

You publish content for the AI. But does the AI read it?

GEO usually ends in a guess. You publish schema, FAQs and feeds so AI systems render your brand correctly. Whether GPTBot, ClaudeBot or PerplexityBot actually fetch your pages, and which ones, you can’t see.

Not mentions · but reads

AI-visibility monitoring measures the wrong thing.

Classic monitoring samples-estimates whether you appear in an AI answer. Agentic Reach measures something different and more concrete: whether the systems actually read your content on your own domain.

Client tools are blind

AI crawlers don’t show up in analytics.

AI crawlers don’t run JavaScript. Google Analytics and every client-side pixel don’t see them. What arrives at the server is the whole truth, and that’s exactly where Agentic Reach measures.

A read is not a citation and not a recommendation. It’s the proof that an AI system read your content. No more, and no less.

What Agentic Reach measures

Not whether you’re visible. What was actually fetched.

An operating dashboard, not a marketing score. Every metric rests on real, server-side bot reads.

AGENTIC REACH · 30 DAYS LIVE
Provider breakdown
18.2kreads / 30d
  • OpenAI44%
  • Anthropic27%
  • Perplexity19%
  • Google10%
Bot reads over time
1.2k
d-14today
bot reads / day
Bot reads over time
Reads over time
How often AI crawlers read your content over time, as a curve rather than a snapshot.
Provider breakdown
Who reads, broken down
Share per provider: OpenAI, Anthropic, Perplexity, Google. Who reads how much.
Reads by touchpoint
Reads per touchpoint
Which touchpoint, FAQ, advisor or inline, gets read and how often.
Reads by product
Reads per product
Which products or BIQs the AI actually fetches, not just the homepage.
Sitemap reads
Sitemap reads
Whether and how often your sitemap is used as an entry point.
Verified bot rate
Verification rate
Share of reads confirmed as a real, verified AI bot rather than disguised traffic.
Activity log
Raw log
Every read individually: agent, path, time, provider and verification status.
AI-readable delivery

For a read to count, the content has to be readable first.

Klariton publishes only live, allowed content, in exactly the formats AI systems read:

llms.txtA machine-readable signpost that tells AI systems which content they may use.
Agentic feedA structured feed of your approved answers, made for AI agents.
Schema.org / JSON-LDServer-side rendered structured markup that crawlers read straight from the raw response.
SitemapA complete, current sitemap as an entry point for crawlers.
FAQPage markupFAQ answers in the format search and AI systems recognize as question-and-answer.

None of it is invented. It’s your approved content, delivered in AI-readable form.

The foundation

A small set of strong BIQs beats a large feed of weak answers.

Agentic Reach measures reads, but a read is only worth as much as the content behind it. BIQs are reviewed, sourced question-answer units with source and approval. They are what you give the AI to read.

A narrow, high-quality set of approved BIQs is rendered correctly more reliably than a broad feed of weak, unreviewed answers. Reach without substance only produces wrong citations.

Your own domain

AI crawlers look at your own domain first. That’s where you measure.

Instead of relying on a third party’s numbers, Agentic Reach measures where the reads actually happen.

The Reach Beacon SDK extends the measurement to your main domain, server-side, without cookies and without a client-side script. You embed a signal, not a black box, and keep the numbers with you.

Server-side

What the crawler doesn’t see without a browser, it hasn’t read.

The relevant AI crawlers, GPTBot, ClaudeBot, PerplexityBot, don’t open a browser and don’t run JavaScript. They request the page, read the raw response and move on.

That’s why Klariton delivers schema and answers server-side rendered. Whatever only appears via JavaScript in the browser doesn’t exist for these crawlers, no matter how complete the page looks to a human.

Operation

Measured reads turn into concrete decisions.

  • See which providers read your content, and which don’t yet.
  • Spot which touchpoints and products get reach, and where the gaps are.
  • Check whether reads actually rise after a launch or a schema update.
  • Separate disguised traffic from verified bots via the verified-bot rate.
  • Detect deep-research bursts when thematically clustered on-demand reads increase.

A bot read is a data center, not a name.

What’s identifiable is the provider behind the agent, OpenAI, Anthropic, Perplexity, Google, not the person who asked the question.

Company or visitor identity only emerges when the AI answer turns into a real click on your site. Agentic Reach doesn’t claim more than it measures, and the verified-bot rate shows how dependable the numbers are.

Bot readProvider, verified
PatternAgent, path, topic, time
Clickonly here: visitor-identifiable
Next step

Stop guessing whether the AI reads you. Measure it.

Agentic Reach shows you which AI systems actually fetch your approved content, server-side, on your domain and honest about what it measures.

Check GEO readiness

Server-side · llms.txt & agentic feed · EU-hosted

Ask Klariton

Ask your question about Klariton.

Grounded in Klariton’s own knowledge, cited rather than invented.

Or ask your own question: