Agent Specific Personalization

Every AI agent reads differently. Give each one its best version.

Fibr serves each agent the version built for it, by assistant, purpose and market, then tests which one wins.

10 to 21

10 to 21

Google AI Overview prompts*

8 to 10

8 to 10

Claude prompts, same pages*

4 weeks

4 weeks

Typical window for each test

A Google ad and a Meta ad each generating its own matching landing page
A Google ad and a Meta ad each generating its own matching landing page

Works across every ad platform

Backed by Leaders from

  • A1 Garage Door Service logo
  • ACT Fibernet logo
  • Akto logo
  • Bhanzu logo
  • Cedars Sinai logo
  • DevX logo
  • Drink Prime logo
  • Elanco logo
  • Everself logo
  • Home Genius Exteriors logo
  • maids.cc logo
  • National Debt Relief logo
  • Nixon Medical logo
  • Rain logo
  • Robylon logo
  • Star Health Insurance logo
  • TrueFoundry logo
  • DMS logo

Backed by Leaders from

  • A1 Garage Door Service logo
  • ACT Fibernet logo
  • Akto logo
  • Bhanzu logo
  • Cedars Sinai logo
  • DevX logo
  • Drink Prime logo
  • Elanco logo
  • Everself logo
  • Home Genius Exteriors logo
  • maids.cc logo
  • National Debt Relief logo
  • Nixon Medical logo
  • Rain logo
  • Robylon logo
  • Star Health Insurance logo
  • TrueFoundry logo
  • DMS logo

THE PROBLEM

What one page for every agent actually costs you.

What one page for every agent actually costs you.

What one page for every agent actually costs you.

Not just reach. Results that move for one assistant and stall for another, with no way to know why.

Every agent reads differently

OpenAI, Anthropic, Google and Perplexity run different crawlers and weigh sources differently. In Fibr’s own test, the same pages moved Google AI Overview from 10 to 21 of 50 prompts, and Claude from 8 to 10.*

Every visit has a different job

Training, search index and live fetch are separate jobs. A live fetch needs the answer in the first lines. A training crawl needs complete, durable facts.

No way to know what’s working

Every agent gets the same page, so when results move, nobody can say why. Today the industry guesses.

HOW FIBR HELPS

How Fibr gives every
agent its best version.

How Fibr gives every
agent its best version.

How Fibr gives every
agent its best version.

01 · BY ASSISTANT

A version for each assistant.

ChatGPT, Claude, Gemini and Perplexity read differently. Fibr verifies each request against the company’s published network addresses, then serves the version built for it.

02 · BY PURPOSE

Training, search and live answers.

03 · BY MARKET

The right price for each market.

04 · TEST AND ROLL OUT

Test it. Roll out the winner.

01 · BY ASSISTANT

A version for each assistant.

ChatGPT, Claude, Gemini and Perplexity read differently. Fibr verifies each request against the company’s published network addresses, then serves the version built for it.

Format: Start with one default agent version plus one test version. Pick the assistant that already sends you the most traffic in bot analytics.

02 · BY PURPOSE

Training, search and live answers.

A live fetch needs the answer fast. An index crawl needs query-matching terms. A training crawl needs complete, durable facts.

Format: Live fetch: 250 words, with plans, prices and best for up top. Index crawl: the full page with question-style headings. Training crawl: what you are, who you serve, how pricing works.

03 · BY MARKET

The right price for each market.

Market and language come from the request and the URL structure, so each agent sees the right currency, stock, delivery and proof points.

Format: Open with the local price: “Queen: $899” for the US, “Queen: CA$1,229” for Canada. Add local shipping times, returns and reviews from that market.

04 · TEST AND ROLL OUT

Test it. Roll out the winner.

Variants run against each other on the same prompts, one change at a time. The winner becomes the default for that segment, and the next test starts.

Format: Change one thing per variant, like the lead section or the depth. Run it for four weeks on the same 50 prompts, and judge each assistant on its own.

Nothing changes about your facts.
Who gets which version does.

Nothing changes about your facts.
Who gets which version does.

Nothing changes about your facts.
Who gets which version does.

What it looks like today, next to what it looks like once Fibr is running in front of your site.

Without Fibr

With Fibr

One page for every agent, a compromise for all of them

A version per assistant, purpose and market

Every agent gets the same page, so nobody knows what worked

Variants run against each other on the same prompts

One market’s price and currency, buried for the rest

Each market’s price, stock and delivery up front

Mentions

Recommendation rate per assistant, and what visitors do next

HOW IT WORKS

Same system underneath every use case. Typically 2 to 3 days to connect, with no redesign or migration.

01.

Edge Script

Sees each request first. People get your normal site.

02.

Agent-Ready Pages

Verified bots get a text-first version at the same URL.

03.

Your Approval

Nothing goes live until you approve it. Roll back anytime.

04.

Measurement

See who reads what, and what assistants say.

RESULTS

What we saw when we ran it on our own site.

What we saw when we ran it on our own site.

What we saw when we ran it on our own site.

Same pages, very different results by assistant. A self-test on fibr.ai, 31 Aug to 27 Sep 2026, across ChatGPT, Google AI Overview, Gemini and Claude.

10 to 21

AI Overview prompts, of 50*

10 to 20

Gemini prompts, of 50*

10 to 13

10 to 13

10 to 13

ChatGPT prompts, of 50*

8 to 10

Claude prompts, of 50*

Enterprise-grade compliance and security.

Enterprise-grade compliance and security.

Enterprise-grade compliance and security.

Built for teams in banking, financial services, healthcare and telecom, where security and compliance aren’t optional.

Learn More

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Same facts, never different ones

The agent version carries the same facts as the page people see. The format changes, the substance never does. That’s what separates it from cloaking.

Bots verified, not trusted

Each request is checked against the AI company’s published network addresses, not the name it claims. A bot that only claims a name is treated as an ordinary visitor.

Your approval, every time

Nothing goes live until your team signs off. Every page has a change log and can be rolled back at any time.

SEE IT LIVE

See which AI agents already read your site.

See which AI agents already read your site.

See which AI agents already read your site.

Start with bot analytics. It runs on your own traffic and needs nothing from your content team.

CUSTOMER STORIES

Teams like yours are already winning.

Teams like yours are already winning.

Teams like yours are already winning.

FAQ

Questions marketers usually ask

Questions marketers usually ask

Questions marketers usually ask

Isn’t serving different versions to different bots cloaking?

Cloaking means different facts. Every version carries the same facts as your live site. Only format, order, depth and language change, and people always see the normal site.

How do you know which bot is which?

Why would training bots need a different version from live-fetch bots?

How many variants do we need to manage?

Can we personalize for agents we don’t see yet?