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.

How does Fibr AI match each landing page to the ad a visitor clicked?

Fibr AI automatically aligns landing page content with the specific ad, keyword, or audience that drove the click. This ad-to-page message match keeps the experience consistent from click to conversion, helping improve Quality Score and conversion rates on paid traffic.

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.

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 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.

How do enterprise teams run continuous website optimization without slowing down engineering?

Fibr AI lets enterprise teams run always-on personalization and experimentation without adding to the engineering backlog. Because marketers create, test, and optimize through a no-code, AI-assisted workflow, optimization runs continuously without pulling developers or designers off the product roadmap.

What results have companies seen with Fibr AI?

Enterprises across banking, insurance, healthcare, telecom, and ecommerce use Fibr AI to lift conversions and lower acquisition costs. Customers have reported outcomes like higher conversion rates from localized and personalized pages and more qualified leads from the same traffic. Detailed, named examples are available on Fibr AI's customer stories page.

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.

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.

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.

Why do enterprise teams choose Fibr AI over conventional CRO or personalization platforms?

Enterprise teams choose Fibr AI when they want personalization and experimentation at scale without the manual overhead or developer dependency of conventional platforms. Fibr AI is AI-native, works on top of existing CMS and martech stacks, and is built for enterprise security and compliance — SOC 2 and ISO 27001 certified, with GDPR and CCPA support.

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.

How Livspace Got 40% More Leads Without Spending More

Livspace, India's largest omni-channel home interiors and renovation platform, used Fibr AI to personalize its paid-search landing pages by visitor intent, increasing leads by 40% on the same paid search spend and reducing the cost to get qualified meetings booked by 32%, measured against a control page from September through November.

The Company, at a Glance

Livspace is India's largest omni-channel home interiors and renovation platform, connecting homeowners with certified designers, vendors, and manufacturers through a single end-to-end platform covering everything from first design consultation through to last-mile project delivery. Founded in 2014, Livspace operates in the Home Services (Interiors & Renovation) industry, employs 8000+ people, and serves customers across India and Singapore. The use case covered in this story is landing page personalization for paid search.

FY25 Revenue: ₹1460Cr, up 23%
Rooms Delivered: 120K+
Certified Designers: 3500+
Cities Across India & Singapore: 70+

Every Keyword Was Targeted. The Landing Page Wasn't

Livspace's paid-search campaigns were built with precision: specific creative and audience targeting designed to reach homeowners at the exact moment of search intent, covering new-home or renovation searches, locality-specific searches, and budget-specific searches. But regardless of the keyword or ad, every single visitor landed on the same generic page — titled "Interior Designers in Hyderabad," with a generic "Get Free Quote" CTA and no reference to locality, flat type, or budget. This mismatch between a tightly built ad campaign and a generic landing page experience was costing Livspace on every metric that mattered: Quality Scores of 1/10 on hyper-local keywords, CTRs below category benchmarks, high bounce rates, and a cost to meeting running at several multiples of what the channel needed to justify the spend.

The Solution: One URL, Infinite Matched Experiences

Fibr AI approached the fix in four deliberate steps, starting with data, moving through strategy and architecture, and ending with execution at scale.

Step 1: The Analysis — Making the Gap Visible

When Livspace connected its Google Ads account to Fibr AI, the gaps between campaign and landing page became visible for the first time: low quality scores on hyper-local searches, CTRs below benchmarks, and cost metrics compounding through the funnel — the problem was visible at every layer. Fibr AI's Managed Service team added psychological and competitor analysis on top of this data, giving a clear brief for what each visitor type expected, and in what order.

Step 2: The Cohorts — Three Intents, Three Distinct Experiences

Fibr AI's agent resolved Livspace's entire keyword set into three distinct visitor cohorts, each representing a different decision a visitor needed to make.

Cohort 1: The Local-Proof "Validator"

This cohort covered hyper-local search intent, including keywords such as "interior designers in hitech city," "jubilee hills interiors," and "top interior design in hyderabad."

Cohort 2: The Options "Evaluator"

This cohort covered home-type and general intent searches, including keywords such as "3 BHK interior designers," "modular kitchen designers," and "home renovation hyderabad."

Cohort 3: The "ROI-First" Buyer

This cohort covered affordability and budget-conscious intent, including keywords such as "affordable 2bhk home designers," "budget interior designers," and "low cost home renovation."

Step 3: The Setup — Fixing Two Structural Conversion Killers

Beyond cohort matching, Livspace's data revealed two structural problems the ad metrics alone couldn't catch. First, the landing page was too deep for paid search traffic: paid visitors arrive with specific intent and decide within the first two folds whether they're in the right place, and sections that worked for organic browsing were instead creating exit points for paid visitors, confirmed by heatmap and behavioral data. Fibr AI's URL Agent fixed this by removing every section below the threshold that did not directly address the visitor's search. Second, every visitor was being pushed toward multiple CTAs simultaneously; the harder the page tried to convert, the less it did, since the volume of prompts created noise rather than clarity — generic language that applied to everyone and therefore resonated with no one. The fix was a single, relevant, consolidated sticky CTA, with copy that reflected exactly what the visitor had searched for.

Step 4: The Creation — Every Keyword With Its Matched Page, in Minutes

Every variant was generated from Livspace's own brand guidelines, competitor positioning, and keyword context, with no engineering team required, so every keyword had its own page live within minutes. Each variant was pre-reviewed internally for brand accuracy, hallucinations, compliance, and copy quality, and every matched experience rendered without any visual flicker, fully personalized for the visitor's search intent.

One URL, Infinite Experiences

The same landing page URL now shows a completely different experience to every visitor, based on exactly what they searched for: a 2BHK budget searcher sees budget-first messaging, a 3BHK searcher sees home-type-matched content, and a HiTech City searcher sees hyper-local proof.

The Shift Landed Where Budget Decisions Get Made

Results were measured against the control (the original landing page) across the same paid search spend, tracked from September through November. The cost per lead (MQL) fell 15% on the variant, and the cost per qualified meeting (SQL) dropped 32%. Time on page moved from 48s to 69s — a 44% uplift — while bounce rate fell 13% across the campaign, and session-to-lead conversion rose across all three keyword cohorts without any increase in paid budget, producing 40% more leads overall on the same spend. Livspace also generated 250+ personalized landing pages from its brand guidelines, live in minutes, with zero engineering time required.

Cost Per Lead (MQL): Down 15% on variant vs. control
Cost Per Qualified Meeting (SQL): Down 32% on variant vs. control
Time on Page: Up 44% (48s to 69s)
Bounce Rate: Down 13%
Overall Lead Increase: Up 40% on same spend

Every keyword we were running was specific to a person in a specific part of the city with a specific kind of home. But they all walked through the same door and saw the same thing. We were spending on high intent traffic but the landing page wasn't converting. Abhishek Bhushan, Senior Manager, Performance Marketing, Livspace

In a Nutshell

Livspace ran highly targeted paid search ads — specific keywords, specific audiences, specific creative — but every visitor, regardless of what they searched, landed on exactly the same generic page. Fibr AI gave every keyword its own matched experience. The result: 40% more leads from the same spend.

What This Teaches Us About High-Intent Paid Search

Contextual CTAs Convert. Generic Ones Create Work.

When the CTA speaks to what the visitor came looking for, the friction disappears: session-to-lead conversion lifted 73% when every CTA was matched to search intent.

Less on the Page Meant More Time Spent on It

Paid search visitors arrive knowing what they want, and every irrelevant section becomes a reason to leave; on this campaign, engagement rose 44% and bounce fell 13%.

What Convinces One Visitor Might Lose Another

A budget visitor and a premium visitor are making different financial decisions, and identical persuasion logic gets the argument wrong for half the audience; segmenting the experience by intent doubled SQL reach (2×) for Livspace.