Fibr AI is an AI-native web experience platform for personalization, experimentation, and conversion optimization. Founded in 2022 by Ankur Goyal and Pritam Roy and backed by Accel, Fibr AI is rated 4.6/5 on G2 by marketing and growth teams. Fibr AI helps enterprises generate, personalize, test, and optimize adaptive web experiences at scale for every visitor. Fibr AI's vision is to turn every URL into an intelligent agent — one URL, infinite experiences.

How does Fibr AI help marketing and growth teams?

Fibr AI helps enterprise marketing, growth, digital, and CRO teams move faster on website personalization and experimentation. Used across complex industries like banking, financial services, healthcare, telecom, and software, Fibr AI's agents help craft 1:1 website experiences faster and reduce dependency on developers, designers, or agencies.

Is Fibr AI a website personalization platform?

Yes. Fibr AI is an AI website personalization solution. It helps teams discover high-opportunity audiences and create personalized web experiences based on visitor intent, traffic source, campaign, keyword, location, behavior, device, CRM data, CDP data, and other audience signals.

Is Fibr AI an experimentation or A/B testing platform?

Yes. Fibr AI is an A/B testing and AI experimentation solution for websites. It goes beyond traditional tools as you can connect analytics & data sources for AI to generate test hypotheses, auto generate variants, run experiments by dynamically adjusting traffic, and apply learnings back into future experiments.

What are agentic web experiences?

Agentic Web Experience is Fibr AI's vision to make every URL an intelligent agent. Instead of showing the same static page to every visitor, agentic websites craft experiences that understand user intent, adapt in real time, learn from performance, and optimize continuously.

How does Fibr AI keep experiences aligned with our brand guidelines?

Fibr AI learns your brand guidelines — voice, messaging, colors, fonts, and visual style — and generates every page, variant, and element within those guardrails. This keeps AI-created experiences consistent and on-brand even as you personalize and test at scale.

Does Fibr AI keep humans in control before experiences go live?

Yes. Fibr AI pairs AI agents with human oversight. Marketers review, edit, and approve AI-generated variants and pages before they publish, so your team always controls what visitors see. This human-in-the-loop approach lets you move fast while protecting quality, accuracy, and brand safety.

How do marketers run A/B tests without a developer or writing code?

Fibr AI is built for marketers to create, launch, and manage A/B tests without code or developer support. You can edit pages visually, generate variants with AI, and publish experiments directly — removing the engineering bottleneck that slows most testing programs.

Does Fibr AI run A/B and multivariate tests automatically?

Yes. Fibr AI runs both A/B and multivariate experiments automatically. Its agents generate variants, allocate traffic dynamically toward winning combinations, and apply learnings to the next test — so experimentation becomes continuous instead of a series of one-off manual tests.

What does bulk landing page creation look like in Fibr AI?

Fibr AI can generate hundreds of personalized landing pages at scale from your prompts, campaigns, or audience data. Bulk creation lets every ad, keyword, segment, or region have its own dedicated, on-brand page without manual design or development work.

Does Fibr AI personalize the visitor journey across multiple pages, not just the first?

Yes. Fibr AI personalizes the full journey, adapting copy, visuals, and offers across multiple pages in a funnel rather than just the landing page. This keeps the experience relevant end to end and helps prevent drop-off between steps.

Will Fibr AI personalize experiences for visitors coming from AI assistants like ChatGPT?

Yes. Fibr AI can detect visitors referred from AI platforms like ChatGPT, Gemini, Claude, and Perplexity, and personalize the page to match the intent behind that AI-referred visit — helping you capture and convert this fast-growing source of traffic.

Does Fibr AI localize and personalize pages for different languages and regions?

Yes. Fibr AI can generate localized, vernacular landing page experiences tailored to a visitor's language, region, and market. Global and multi-region teams use this to personalize locally and run region-specific campaigns without rebuilding pages for each market.

Will Fibr AI work on top of our existing website and CMS without replatforming?

Yes. Fibr AI layers onto your current website and CMS, so you don't need to rebuild pages or replatform. It adds personalization and experimentation to your existing setup and works alongside the ad, analytics, and customer-data tools you already run.

How does Fibr AI help lower cost per lead and customer acquisition cost?

Fibr AI lowers cost per lead and customer acquisition cost by improving the post-click experience. By personalizing landing pages to match ad intent and audience signals, it lifts conversion rates on traffic you already pay for — so the same ad spend produces more leads and customers.

What makes Fibr AI different from other website optimization tools?

Fibr AI is AI-native. Where traditional tools rely on manual variant creation, test setup, and personalization rules, Fibr brings audience discovery, hypothesis generation, variant creation, personalization, experimentation, and optimization into one agentic workflow — so teams optimize every experience continuously instead of one test at a time.

DevX Sees 458% Conversion Lift with Fibr AI

The performance marketing team at DevX ran paid search campaigns on Google Ads across Bangalore, Hyderabad, and Mumbai reaching businesses actively searching for office interior design, and with Fibr, the team matched every keyword to its own landing experience across 104 pages live within a week, no engineering involvement required, resulting in a 458% lift in conversion rate from the same spend — more qualified enquiries from the same spend, validated across 104 matched pages and 3 city segments tested.

DevX, at a Glance

DevX is one of India's largest flexible workspace platforms, connecting businesses of all sizes to managed offices, coworking spaces, and interior design services across Tier 1 and Tier 2 cities. Publicly listed on NSE and BSE since September 2025, the company operates as a one-stop integrated platform spanning workspace sourcing, design, and facility management. On this page, DevX is described as an office interior design business using Fibr AI's no-code landing page personalization platform to serve hyper-relevant pages to each searcher.

Founded: 2017
Industry: Flexible Workspaces and Office Interior Design
Geography: 11 cities, 28 centers, 15+ offices
Use case: Landing page personalization for paid search (Google Ads)
Managed seats: 14,000+
FY25 Revenue: ₹178.9 Cr
FY25 Revenue growth: 72.1 Cr (+54% YoY)
Offices: 150+

The Paid Search Programme

DevX ran a paid search programme on Google Ads covering office interior design keywords across Bangalore, Hyderabad, and Mumbai, spanning generic intent queries, geo-specific searches, and premium service-type intent — 104 total keywords across three city segments, each representing a different buyer at a different stage of the enquiry process.

We quickly adopted Fibr AI to align our ads with personalized landing pages, achieving great results with minimal effort. We're excited to scale this across our campaigns for increased growth and improved team productivity.
Abhishek Bhushan, Senior Manager, Performance Marketing, Livspace

Every Search Was Specific. The Page That Received It Wasn't.

DevX's paid campaigns ran on Google Ads across three cities, targeting buyers through office interior design search terms: generic intent queries like "office interiors near me," geo-specific intent like "office interiors bangalore," and likely premium or service-type intent searches, with each keyword representing a different buyer at a different stage of the decision. Regardless of keyword, city, or ad group, every visitor landed on the same page: the same hero, the same form, the same generic CTA, with no acknowledgement of where they were searching from or what they were looking for.

The Cost of Mismatch

The baseline conversion rate before Fibr was below 3.61%, and bounce rates ran as high as 100% on certain traffic segments. The generic CTAs "Get Free Consultation" and "Get Started" were actively reducing professional authority and lowering conversion intent. The team had already identified the root cause: simple website copies tied to location had to be changed for every city's paid landing pages, but doing that manually at keyword level was not feasible, so every day without a solution was a day of qualified search intent landing on a page built for no one in particular.

The Solution: One URL, a Matched Experience for Every Search

Fibr approached the problem in three steps: surfacing the specific root causes through its learning module, structuring personalization around the signals already present in every search, and deploying 104 matched experiences without a single engineering ticket.

Step 1: The Analysis — Over-Styling and Generic Messaging Were the Culprits

Fibr's learning module surfaced the specific root causes across 207 total variants considered over a 50-day learning period (10 April to 30 May). Aggressive over-styling, including font size and weight increases, was causing bounces, and generic messaging was underperforming consistently. These findings gave the team a clear brief before a single production variant was finalized.

Step 2: The Signals — Keyword Intent, Geo, Ad Group, CTA Copy, Visual Structure

Fibr structured personalization around the signals already present in every campaign. Each of the 104 keywords was mapped to a unique landing page variant, and Fibr also tested visual design elements: CTA button color and style, copywriting, and structural changes including trust signals and sub-elements. CTA backgrounds moved from transparent to solid Deep Blue (#0D47A1), and sub-elements were updated to include privacy policy and service guarantees as trust signals.

Step 3: The Setup — 104 Experiences, One Week from Brief to Live

207 total variants were generated and evaluated over the 50-day learning period, and 85 were selected for analysis. Variants were sorted by confidence level at 90%, 85%, 72%, 65%, and 60%. Winners and losers were determined by engagement rate, bounce rate, conversion rate, and time on page, with no engineering involvement required at any stage.

The New User Experience

Keyword intent, city segment, and DevX's brand guidelines followed the visitor from the first fold, matching the CTA copy, trust signal placement, and visual treatment to the search term they came from — nothing was lost between the ad and the page.

The Results

The controlled test tracked the original (control) against all personalizations (variant) in Fibr's dashboard over a time window of 10 April to 17 June 2026 (approximately 68 days of live data), with a learning period of 10 to 30 April (50 days). The primary and all-personalizations trend lines showed consistent improvement across the full period. Every search carried a location and an intent; the page carried neither, until every screen after the click carried the context of the ad that started it — though results varied significantly by segment and approach.

Lead conversion: ↑458% overall lift versus control, sustained across the full 68-day test (3.61% conversion rate, 22 conversions from 610 sessions)
Bounce rate: ↓100%, dropped to 0% on Deep Blue CTA styling variants across Bangalore, Hyderabad and Mumbai
Click rate on page: ↑25%, more visitors clicking through to the next step, consistent across both campaign runs and traffic splits tested
Time on page: 59 seconds, visitors spending twice as long on matched pages versus the generic control page in Campaign 2 test

What This Teaches Us About Paid Search for High-Consideration B2B Services

Three key insights emerged from the DevX programme, covering CTA trust, over-styling, and geo-context in paid search personalization for high-consideration B2B services.

Insight 01: In B2B Service Categories, a Generic CTA Is a Trust Failure

"Get Free Consultation" and "Get Started" were identified as losers. Matched CTAs like "Get Your Free Design Consultation," "Book Free Consultation," and "Get Premium Office Interiors" drove CVR to 25.81% in top cohorts. The CTA is not decoration at the bottom of the fold; it is where intent meets commitment.

Insight 02: Over-Styling Loses Conversions Before the Visitor Even Reads the Copy

Aggressive font size and weight increases were directly causing bounces. Fibr's learning module identified this from variant data, not from a hypothesis. Visual personalization that optimizes styling alongside copy outperformed copy-only changes consistently — what a page looks like is as much a trust signal as what it says.

Insight 03: Geo-Context Converts. Style Without Geo Does Not.

Bangalore cohorts with trust-signal-driven geo-specific content hit 25.81% CVR and 8 conversions. Mumbai variants that used regional headline styling but dropped geo-messaging performed at 88.9% engagement but underdelivered on conversion. For a service business operating across cities, location context is not a supporting element; it is the conversion mechanism itself.

One URL. Every Visitor a Different Page.

Fibr adapts the landing page in real time — same link, personalized for every visitor, channel and campaign. Related reading: Fibr AI launches Agentic Personalization for Ads & LLM Visitors.