> For the complete documentation index, see [llms.txt](https://support.fibr.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.fibr.ai/fibr-personalization-suite/llm-based-personalization.md).

# LLM based Personalization

### The Current Scenario

Your website is being discovered by AI assistants like ChatGPT, Claude, Perplexity, and others that browse the web to answer user questions. These AI tools represent a growing portion of web traffic - but they have completely different expectations than human visitors.

AI assistants scan for specific information quickly, expect direct answers, and prioritize factual content over marketing copy. They're looking to extract value for the person who asked the question, not to be "converted" in traditional ways.

But most sites still show the exact same content to AI traffic that they show to humans - homepage heroes, lengthy marketing copy, and conversion-focused layouts that don't serve AI visitors well.

Making AI-specific experiences manually is possible, but it becomes complex fast. The moment you want to optimize for multiple AI platforms while still serving human visitors, you're stuck managing different detection methods, multiple page versions, and constant updates as AI behaviors evolve.

***

### The Impact on Marketers

When LLM traffic is ignored:

**Missed opportunities**: AI assistants skip over your content because it doesn't directly answer what they're looking for, reducing your chances of being cited or referenced.

**Poor user experience**: When an AI does reference your site, the person clicking through finds marketing fluff instead of the substantive information the AI promised.

**Conversion confusion**: Traditional conversion funnels don't work when the "visitor" is an AI trying to extract information for someone else.

**Competitive disadvantage**: Sites that serve AI traffic well get more citations, references, and qualified human traffic from AI recommendations.

***

### Solution: Fibr LLM Personalization

Fibr LLM Personalization helps you create web experiences tailored for AI assistant traffic without building and managing separate pages manually.

You can personalize things like:

* **Content structure** - Lead with key facts instead of marketing headlines
* **Information hierarchy** - Present answers before explanations
* **Data presentation** - Use structured formats AI can easily parse
* **Call-to-actions** - Focus on "learn more" rather than "buy now"

So when AI assistants visit your pages, they find exactly what they need to provide valuable answers, while human visitors still get the optimized experience designed for them.

The bigger win is future-proofing. As AI traffic continues to grow, you're positioned to capture this valuable source of qualified referrals without constant technical overhead.


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