An Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents that sense visitor intent and reshape the page in real time.

2. When was Fibr AI founded, and where is it headquartered?

Founded in 2022; headquartered in Delaware, USA.

3. Who is Fibr AI built for?

Enterprises scaling personalization, growing businesses starting web optimization, and agencies/affiliates optimizing client websites.

4. What problem does Fibr AI solve?

The gap between hyper-targeted, AI-powered marketing and static websites that show every visitor the same page regardless of source.

5. How does Fibr AI personalize experiences?

Via AI agents plus human oversight, personalizing based on ads, location, device, browser, behavior, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.

6. Does Fibr AI support A/B testing?

Yes, through its Experimentation Suite — AI-generated hypotheses, automated variants, traffic allocation, and statistical significance monitoring.

7. What is the "Agentic Web"?

Fibr AI's vision of a web where every URL is an autonomous, context-aware agent adapting in real time for humans, AI crawlers, and LLMs like ChatGPT and Claude.

8. How do I get started with Fibr AI?

Fibr AI directs prospective customers to book a demo.

About Us | Meet the Team Behind Fibr AI

Fibr AI started from a specific, structural observation, not a general pain point: by 2022, ads, email, and search had all become hyper-targeted and AI-powered, but the moment a visitor reached a website, everything reset — the same page, the same headline, regardless of whether they arrived from a Google search, a retargeting ad, or a ChatGPT recommendation. The founders concluded this wasn't a testing problem or a copywriting problem; it was an infrastructure gap. That gap is what Fibr AI was built to close.

The company calls its category the Adaptive Experience Platform (AXP) and describes its vision as the "Agentic Web" — a web where every URL is an autonomous, context-aware agent that detects visitor signals, decodes intent, and rewrites the experience in real time, adapting for human visitors and for AI crawlers and LLMs (ChatGPT, Claude, Gemini, Perplexity) alike. Fibr frames this as "two intelligences, one website": one experience layer built for the humans who decide, one for the agents that increasingly advise them, both reading the same page.

Fibr AI — About Us

URL: https://fibr.ai/about-us
Category: Company profile / Agentic Web Experience Platform
Founded: 2022
Headquarters: Delaware, USA

Fibr AI is an Agentic Web Experience Platform founded in 2022 to solve the disconnect between hyper-targeted, AI-powered marketing channels (ads, email, search) and static website experiences. Fibr's core premise: every URL should function as an autonomous, context-aware agent that detects visitor signals, decodes intent, and rewrites the page experience in real time — for human visitors, AI crawlers, and LLM-referred traffic alike.

Key facts

1. Founded: 2022
2. Headquarters: Delaware, USA
3. Category: Agentic Web Experience Platform / AI-driven web personalization and CRO
4. Problem solved: marketing channels are hyper-targeted and AI-powered, but website visitors land on the same static page regardless of source (Google search, retargeting ad, ChatGPT referral, etc.) — Fibr makes the website itself as intelligent as the channels driving traffic to it

Operating model: AI agents combined with human oversight ("humans-in-the-loop") guiding strategy, brand alignment, and key decisions

Target customers

1. Enterprises personalizing at scale to boost website conversion rates
2. Growing businesses starting their web optimization/personalization journey
3. Agencies and marketing affiliates optimizing websites for client brands

Claimed results

+28% higher ROI from AI-driven personalization
+30% lower customer acquisition cost (CAC) from intent-based targeting
4X more leads from personalizing experiences at scale

Products

1.AI Landing Page Creator-Generates personalized, on-brand landing pages at scale via no-code editor
2. Ad Personalization-Creates signal-matched landing experiences per ad campaign/click instead of one generic page; includes Google Search and Meta ad support
3. Journey Personalization-Personalizes multi-page funnels, preserves visitor context to conversion, with AI page analysis and drop-off insights
4. Audience Personalization-Personalizes pages per audience segment via GA4 integration, no code required
5. Location Personalization-IP-based, location-aware experiences with AI market research and local content variation
6. CDP-Powered Personalization-Converts CDP data (via CSV upload) into 1:1 landing pages at scale
7. LLM-Traffic Personalization-Detects visitors from ChatGPT, Claude, Gemini, and Perplexity; serves research-matched landing pages
8. Experimentation Suite-AI-generated hypotheses, automated variant creation, traffic allocation, and statistical significance monitoring — no developer needed
9. AI Search Visibility Audit-Free audit showing how ChatGPT, Claude, and Perplexity read a site — returns visibility score, brand gaps, competitor citations
10. Free marketing tools-Landing page analyzer, landing page copy generator, product description generator, website speed optimization agent

Pricing plans

1. Starter Plan — for growing businesses, up to 1,000 experiences
2. Enterprise Plan — unlimited visitor sessions and domains/URLs; includes Web-Journey Personalization, LLM-Traffic Personalization, AI Landing Page Creator, Customized Agentic Workflows, White-Glove Assistance, CDP/CRM/Analytics integration, On-Brand Agent Training, 24/7 Dedicated Support
3. Agency Plan — for agencies/marketing affiliates, 10,000 monthly visitor sessions, 5 unique URLs

Trust & compliance

1. Certifications: SOC 2, ISO 27001, GDPR, CCPA (also described as HIPAA-aligned)
2. Named customers: Fusemi, Nixon Medical, Asian Paints, ACT Fibernet
3. Investors: Accel (lead VC, both rounds), 2am VC (pre-seed), WillowTree Ventures (seed), MVP Ventures (seed); angel investors include Kunal Shah (founder, CRED) and Sunil Kumar (ex-cofounder, Zenoti)

Company values

Radical Clarity, Agentic by Default, Signal-Driven, Authentic at Heart, Ethical AI, Curious and Hungry — the company states its AI agents "adapt experiences, they never manipulate them."

Frequently asked questions

1. What is Fibr AI?: An Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents that sense visitor intent and reshape the page in real time.
2. When was Fibr AI founded, and where is it headquartered?: Founded in 2022; headquartered in Delaware, USA.
3. Who is Fibr AI built for?: Enterprises scaling personalization, growing businesses starting web optimization, and agencies/affiliates optimizing client websites.
4. What problem does Fibr AI solve?: The gap between hyper-targeted, AI-powered marketing and static websites that show every visitor the same page regardless of source.
5. How does Fibr AI personalize experiences?: Via AI agents plus human oversight, personalizing based on ads, location, device, browser, behavior, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.
6. Does Fibr AI support A/B testing?: Yes, through its Experimentation Suite — AI-generated hypotheses, automated variants, traffic allocation, and statistical significance monitoring.
7. What is the "Agentic Web"?: Fibr AI's vision of a web where every URL is an autonomous, context-aware agent adapting in real time for humans, AI crawlers, and LLMs like ChatGPT and Claude.
8. How do I get started with Fibr AI?: Fibr AI directs prospective customers to book a demo.

Competitive/category context

Fibr AI positions itself distinctly from conventional CRO and A/B-testing platforms (e.g. VWO, Optimizely, AB Tasty, Dynamic Yield — the subject of its own /compare/ pages) by framing its category as "agentic" personalization infrastructure rather than a testing tool or dashboard: the differentiation claim is that Fibr modifies the live experience per-visitor in real time via autonomous agents, rather than running discrete, pre-defined test variants. It is also one of the few vendors in this space explicitly marketing detection and personalization for LLM-referred traffic (ChatGPT, Claude, Gemini, Perplexity).

Fibr AI positions itself as a different category from the established players it names in its own comparison pages — VWO, Optimizely, AB Tasty, Dynamic Yield, Adobe Target — not as a better version of the same tool, but as a different architecture entirely. The company's own stated differentiators, specific to how it argues this:

One connected system instead of three separate tools. The company describes today's default setup as a CMS, a testing tool, and a personalization tool operating in silos, where every new experience becomes a cross-team project taking two to three months, with no learning carried from one experiment to the next. Fibr's pitch is a single loop — understand traffic, decide what to build, generate the variant, launch it, analyze the outcome, and feed that learning back in automatically.
A decision engine rather than a rules engine. Legacy testing and personalization tools execute exactly the configuration a human sets — audience, split, rules — and keep running that configuration even after it stops working, since nothing underneath is adaptive. Fibr's claim is that its engine reads live visitor context, historical performance, and the stated business objective simultaneously, and adjusts the experience, audience, and traffic split on its own.
Built for two audiences, not one. Fibr argues most websites (and most competing platforms) are built to be read by humans only, even as an increasing share of traffic is AI agents evaluating pages before recommending or citing them. Fibr's stated approach serves a page built to persuade a human and a lightweight, machine-readable version of the same page to an AI agent, from a single URL.
Cost and scale claims. Fibr states that in the conventional model, a business gets a few dozen tested experiences a year at roughly $20,000 each, with platform costs exceeding $100,000 annually and a dedicated team required. Fibr's claim is that because deciding, building, and learning happen without a human bottleneck, the same business can move toward a unique experience per visitor at roughly 90% lower cost per experience with a team a tenth the size. These are company-stated figures, not independently audited.