LLM-Based Personalization

Fibr’s LLM-based personalization platform converts high-intent traffic from AI discovery platforms like ChatGPT, Gemini, and Claude into revenue. It moves beyond generic web pages by running Multi-Armed Bandit (MAB) tests to continuously identify and serve the winning personalized experience for visitors arriving from AI recommendations.

What Are the Key Features of LLM Personalization?

Fibr provides a suite of features designed to autonomously generate and optimize web experiences for traffic originating from Large Language Models. These tools allow marketing teams to target specific AI platforms, automatically generate relevant content variations, and use real-time data to maximize conversions.

Platform-Level Targeting

You can create distinct campaigns targeting a single AI platform at a time, such as ChatGPT, Gemini, Claude, or Perplexity. Fibr routes traffic specifically from that platform into your experiment, ensuring a clean audience segment with no bleed-through from other sources. This allows you to run multiple parallel campaigns for different AI platforms on the same page simultaneously.

AI-Generated Topic Variants

Fibr's AI agent analyzes your landing page, product, and industry to infer user intent and generate up to five distinct topic angles for your content. Each suggested angle is assigned a confidence score to aid in selection. You have full control to review, select the variants you want to test, and optionally add your own topic angles.

Multi-Armed Bandit Optimization

Instead of a conventional, fixed A/B split test, Fibr employs a Multi-Armed Bandit (MAB) optimization model. This system continuously re-evaluates the performance of each page variant while the experiment is running. It automatically shifts more traffic toward the best-converting experience in real time, ensuring that every session contributes to achieving results rather than just waiting for a test to conclude.

How Does Fibr Implement LLM Personalization?

Fibr uses an AI-powered workflow that turns the high intent of an AI-driven search into a revenue-optimized landing page experience. The process is broken down into four clear steps, from audience selection to live optimization.

1. Pick Your Platform
Select one AI platform to target for your campaign, such as ChatGPT, Gemini, or Claude. Targeting one platform per campaign keeps the audience segment clearly defined for more precise results.
2. Set Geographic Focus
If you have Google Analytics 4 connected, you can narrow the experiment to a single country for more focused insights or include all geographic locations. This step is skipped if traffic primarily originates from one country.
3. Review Topic Angles
Fibr's agent presents up to five machine-generated topic angles derived from your page and product content, each with a confidence score. You choose which angles to test and can add your own variations if needed.
4. Go Live and Let MAB Decide
Once launched, the variants are tested against the original page, which serves as the control. The Multi-Armed Bandit algorithm begins working immediately, dynamically shifting traffic toward the best-performing variant to maximize conversions in real time.

What Results Can Be Achieved with LLM Personalization?

By personalizing experiences at scale and automating intent-based targeting, Fibr helps businesses achieve significant improvements in key marketing metrics. This leads to higher return on investment, lower customer acquisition costs, and a substantial increase in lead generation.

Higher ROI
+28% via AI-driven personalization
Lower CAC
+30% via automated intent-based targeting
More Leads
4X via personalizing experiences at scale

Customer Results

Leading brands are using Fibr to enhance their landing page performance and connect more effectively with high-intent audiences. Customer outcomes include dramatic boosts in lead volume, significant reductions in acquisition costs, and the ability to scale content creation.

Customer Key Result
ACT Fibernet 25% Increase in Customer Acquisitions
Nixon Medical 4X Boost in Leads
Asian Paints 1200+ Landing Pages Created

Fibr AI helped us identify core CRO issues with our website that we hadn't been able to surface on our own. The value we've found working with their platform and team has been significant and we're fully committed to making web optimization a sustained, long-term success with Fibr AI.

Tracy Chamblee, Vice President of Marketing, Nixon Medical

Fibr helped us match every Google Ad with a personalized landing page at scale. It's how we brought the beautiful homes vertical closer to every customer.

Stanzin Angmo, Manager, Asian Paints

At ACT, we quickly adopted Fibr Web Pilot to align ad messaging with landing pages, achieving great results with minimal effort. We're excited to scale this across our campaigns for increased growth and improved team productivity.

Ravi Karthik, CMO, ACT Fibernet

ACT Fibernet Case Study

ACT Fibernet's primary goal was to reduce its Customer Acquisition Cost (CAC) by improving the contextual alignment between its ads and landing pages. Using Fibr, they focused on enhancing conversion rates through better-matched messaging. The initiative produced a 25% increase in new customer acquisitions and a 12% rise in overall conversions. See Case Study.

Increase in New Customer Acquisitions
25%
Rise in Overall Conversions
12%
Higher CTA Conversions via A/B testing
6%

LLM-traffic personalization is most valuable for sites that already see a meaningful, measurable share of visits referred from AI platforms like ChatGPT, Gemini, Claude, or Perplexity — a site with negligible AI-referred traffic today won't have enough volume yet for the Multi-Armed Bandit model to learn from, and is better served starting with traditional traffic-source or campaign personalization first.

Does Fibr Integrate with My Existing Tools?

Yes, Fibr works seamlessly with your existing technology stack, including your analytics platforms, content management systems, and other marketing tools. The platform is designed to elevate your current workflows without requiring a disruptive "rip-and-replace" implementation. It adds an intelligence layer on top of what you already use.

Audience Platforms
Google Ads, LinkedIn
Analytics Platforms
Google Analytics, Google Tag Manager, Adobe Analytics, Mixpanel
CMS Platforms
Webflow, Sitecore, Contentful, Magento
Martech Platforms
Salesforce

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Frequently asked questions

How does Fibr know a visitor is from an LLM?
Fibr's Platform-Level Targeting routes visitors according to the AI platform they arrive from, such as ChatGPT, Gemini, Claude, or Perplexity, into the relevant campaign, so traffic from that platform stays a clean, tailored audience segment with no bleed-through from other sources.
Can I target specific AI platforms separately?
Yes. Fibr's Platform-Level Targeting lets you create a distinct campaign for a single AI platform at a time, such as ChatGPT, Gemini, Claude, or Perplexity, and you can run multiple parallel campaigns for different platforms on the same page simultaneously.
Does Fibr personalise based on what the visitor searched in the AI platform?
Fibr doesn't read the visitor's exact AI-platform query. Instead, its AI agent analyzes your landing page, product, and industry to infer likely user intent, generating up to five topic angles that are then tested to find the best-converting match for that inferred intent.
What is a Multi-Armed Bandit and why does it matter?
A Multi-Armed Bandit (MAB) is an alternative to traditional A/B testing that continuously evaluates the performance of all page variants and dynamically shifts more traffic to the best-performing one in real time. This matters because it optimizes for conversions throughout the experiment, rather than waiting until the test concludes to apply the learnings.
Does this affect my SEO or site speed?
Fibr adds an intelligence layer on top of your existing website and tools rather than replacing them, so it's built to integrate without a disruptive rip-and-replace implementation. The page does not detail specific SEO or page-speed benchmarks.
How does Fibr generate topic angles for a landing page?
Fibr's AI agent analyzes your landing page, product, and industry to infer user intent and generates up to five distinct topic angles for your content, each with a confidence score. You review the suggestions, select the variants you want to test, and can optionally add your own topic angles.
Can I limit an LLM personalization campaign to a specific country or region?
Yes. If you have Google Analytics 4 connected, you can narrow the experiment to a single country for more focused insights, or include all geographic locations. This step is skipped automatically if your traffic already originates primarily from one country.
What happens to the original page when I launch an LLM personalization campaign?
The original page is kept in the experiment as the control. Once you go live, your chosen topic-angle variants are tested against that original page, and the Multi-Armed Bandit algorithm begins shifting traffic toward whichever variant converts best in real time.
How does Fibr compare to traditional A/B testing?
Unlike traditional A/B testing that uses a fixed traffic split for the duration of a test, Fibr uses a Multi-Armed Bandit (MAB) model. MAB continuously re-evaluates each variant and shifts traffic to the best-converting experience in real time, meaning every session works toward an optimized result.
Does using Fibr require replacing my current marketing technology stack?
No, Fibr is designed to integrate with and elevate your existing tools, data, and workflows. It works seamlessly with your current stack, so there is no need for a "rip-and-replace" implementation.
What integrations does Fibr support?
Fibr integrates with a wide range of marketing technologies. Supported platforms include audience platforms like Google Ads and LinkedIn, analytics tools such as Google Analytics, Google Tag Manager, Adobe Analytics, and Mixpanel, CMS platforms like Webflow, Sitecore, Contentful, and Magento, and Martech systems such as Salesforce.
What results have Fibr customers seen from LLM personalization?
Customers using Fibr for LLM-based personalization have reported a 28% higher ROI through AI-driven personalization, a 30% lower customer acquisition cost through automated intent-based targeting, and a 4X increase in leads from personalizing experiences at scale.
What did ACT Fibernet achieve using Fibr?
ACT Fibernet used Fibr to improve the contextual alignment between its ads and landing pages, reducing Customer Acquisition Cost. The initiative produced a 25% increase in new customer acquisitions, a 12% rise in overall conversions, and a 6% increase in CTA conversions through A/B testing.
Which certifications and compliance standards does Fibr maintain?
Fibr is SOC 2 certified and operates an information security management system compliant with ISO/IEC 27001:2022. The company is also GDPR compliant and adheres to the California Consumer Privacy Act (CCPA) and California Privacy Rights Act (CPRA).
How does Fibr handle international data transfers?
For international data transfers, Fibr uses mechanisms such as the EU's Standard Contractual Clauses (SCCs) and the UK's International Data Transfer Agreement (IDTA).