More AI citations a day across 102 agent-ready pages, rising from 41 to 114 in six weeks,
driven by the unbranded buyer questions.
COMPANY OVERVIEW
Fibr AI, at a glance.
Fibr AI is an adaptive experience optimization platform that turns brands’ own websites into engines for discovery, engagement, and conversion across human and AI audiences.
FOUNDED
2022
INDUSTRY
Marketing Technology
fOUNDERS
Ankur Goyal & Pritam Roy
Employees
30+
use case
AI search visibility with AXP
The program at a glance
102+
Agent-ready pages
4
AI engines measured
50+
Buyer prompts tracked daily
6 weeks
From first launch to results
Buyers come to us with four kinds of questions: learning the category, building a shortlist, picking a tool for a specific job, and comparing Fibr with a named competitor. Each sits at a different point in the buying journey, and an AI engine is now as likely to answer it as a page of Google results.
In a Nutshell
AI engines found Fibr when buyers asked by name. Not when they asked about the problem.
More of our buyers now start their research by asking ChatGPT, Gemini, Claude or Google's AI Overviews which tool to use. When they asked about Fibr by name, the engines found us. When they asked about the problem we solve without naming a vendor, we were mostly missing from the answer. So we became our own first AXP customer and made 102 pages on fibr.ai agent-ready, in two launches. Six weeks later, those pages get 114 AI citations a day, up from 41 in launch week. Weekly prompt coverage rose from 12 to 22 of 50 tracked buyer questions, and almost all of that growth came from unbranded questions.
THE CHALLENGE
Every answer was on our website. The engines just weren't finding it.
In launch week (31 Aug to 6 Sep 2026), we tracked 48 buyer prompts across ChatGPT, Google AI Overviews, Gemini and Claude. Fibr came up in only 12 of them. We did well where it mattered least: all 4 branded prompts and the 1 navigational prompt surfaced us. On unbranded questions, where new buyers make their shortlist, we came up in just 7 of 43.
The problem was everything that happened after the click. Testing a single page variant required coordination across engineering, design, legal, analytics, and compliance, all sequential, not parallel. A single CTA test could take a full quarter from hypothesis to live traffic. At that pace, the team could test roughly 8 to 12 hypotheses a year across all pages combined.
Content wasn't the problem. We already had product pages, guides and comparison articles on every one of these topics. But a page built for a human visitor, with navigation, visuals, scripts and claims spread across different sections, is hard for an AI engine to read, judge and quote with confidence.
The cost of being invisible
In launch week, AI engines cited fibr.ai about 67 times a day, across 73 pages. When Fibr did show up in an answer, the engines cited 314 third-party pages alongside us, more than four times as many as our own. Other websites were shaping how AI engines explained our category to buyers. Every unbranded question we missed was a shortlist we weren't on.
THE SOLUTION
One website, two audiences: humans and AI agents.
We ran AXP on our own site in three steps: making the gap visible, mapping the questions buyers actually ask, and shipping agent-ready pages in two launches, measured every day.
STEP 1
The Analysis: making the gap visible
Daily tracking showed two clear problems. First, most of the site was invisible to the engines: only 24 of our 44 core pages got even one AI citation in launch week. The deeper product, use case and comparison pages, the ones that answer specific buyer questions, were mostly missing from the answers. Second, each engine treated us very differently. In launch week, ChatGPT cited our pages 269 times. Claude cited them 26 times.
STEP 2
The Signals: four intents and four engines
AXP was built around the questions buyers ask an AI engine, not the keywords they type into Google:
Informational: buyers learning the category, like what AI personalization is and how it works. 19 tracked prompts.
Commercial: buyers building a shortlist of the best tools and alternatives. 14 tracked prompts.
Transactional: buyers ready to act, looking for a tool for a specific job like matching ads to landing pages. 12 tracked prompts.
Competitor comparison: buyers comparing Fibr with a named alternative. 5 tracked prompts.
Each intent was measured separately on ChatGPT, Google AI Overviews, Gemini and Claude, because every engine finds and cites pages in its own way.
STEP 3
The Setup: 102 agent-ready pages in two launches
Launch 1 (2 to 3 Sep 2026): 44 pages, the core of the site:
The homepage, product pages like journey personalization and LLM personalization, pricing, the experimentation suite, and our highest-intent guides and comparison articles.
Launch 2 (17 Sep 2026): 58 pages, the long tail:
Audience personalization, our CDP and ad platform pages, competitor comparisons, guides, customer stories, whitepapers and FAQs.
Every page was then tracked daily with Promptwatch across all four engines.
The New Agent Experience
A human visitor sees the same Fibr website as before. An AI engine gets an agent-ready version of the same page: what the product is, who it's for, how it compares and what it costs, in a form it can read and quote. The goal isn't just to be found. It's to be understood well enough to be cited as evidence.
The results
We compared launch week (31 Aug to 6 Sep) with the latest full week (5 to 11 Oct 2026), tracked daily with Promptwatch across ChatGPT, Google AI Overviews, Gemini and Claude. There was no control group, so results are shown since launching AXP.
AXP CITATIONS PER DAY
↑ 176%
From 41 to 114 a day across the 102 AXP pages. The 44 first-launch pages nearly doubled on their own, from 41 to 79 a day (+90%).
PROMPTS THAT CITED FIBR
↑ 83%
From 12 to 22 a week, launch week against the latest week. 30 of 50 prompts have brought up Fibr at least once since launch.
ALL FIBR CITATIONS
↑ 161%
From 67 to 176 a day across every page on fibr.ai. 253 different pages have now been cited, up from 73 in launch week.
AXP PAGES CITED
64 of 102
Cited at least once since launch, up from 24 in launch week. That's 75% of first-launch pages and 53% of second-launch pages.
The gains came from unbranded questions. Since launch, informational prompts that bring up Fibr went from 3 to 11, commercial from 3 to 7, and transactional from 1 to 7.
KEY INSIGHTS
INSIGHT 01
Your brand name is not an AI search strategy.
People who already knew our name could find us: all 4 branded prompts brought up Fibr before AXP. Every gain came from unbranded questions, the informational, commercial and transactional ones buyers ask before they have a shortlist. That's where AI engines now decide who gets considered.
INSIGHT 02
Depth beats the front door.
The homepage barely moved, staying at about 9 citations a day. The 43 pages behind it more than doubled. Engines cite the page that answers the specific question, so pages that explain one product, one use case or one comparison are where AI visibility is won.
INSIGHT 03
Every engine reads your site differently.
The same 102 pages grew prompt coverage by 160% on Google AI Overviews and 25% on Claude. One overall "AI visibility score" would hide that gap. Tracking each engine separately shows where the work is paying off, and where it isn't yet.
