Every publisher in the room at OX9 has seen it. GA4 open. Traffic numbers trending the wrong direction. An advertiser on the phone asking why they’re still paying the same CPM.
That was the moment Zainub Sareea, Vice President of Product at Bobit Business Media, decided something had to change — not just tactically, but fundamentally.
“Our content is answering questions,” Zainub told the audience at OX9, Omeda’s annual media conference. “We’re just not getting credit for it.”
She’s right. In the past year alone, US publisher traffic from Google has declined by roughly 38%, according to Chartbeat data reported by Press Gazette. When an AI summary appears at the top of a search result, Pew Research found that users clicked through to a traditional search result just 8% of the time — compared to 15% when no AI summary was present. And nearly two-thirds of all Google searches now end without any click at all, a figure that has been climbing steadily and shows no signs of reversing. The content powering those AI summaries? It’s yours. The attribution? Not so much.
For many publishers, the reflex is to chase what’s left — more content, more impressions, more traffic. Bobit chose a different path.
Building the Foundation First
Before Bobit could change how they proved value to advertisers, they had to change how their data worked.
That meant tearing out 12 legacy systems and rebuilding their entire data architecture from scratch — a 15-month process that Zainub describes as both the hardest and most necessary thing they did. “There was no shortcut,” she said. “AI amplifies what’s already there, including the mess. We had to unify the architecture first.”
This is also where Omeda came back into the picture. Bobit had previously moved away from Omeda before ultimately returning — and that experience gave Zainub a clear perspective on what the platform actually provides.
“Omeda has figured out the B2B publishing industry,” she said, “and how that data needs to live, get tagged, and be structured.” The ability to pull precise audience segments, build the right lists, and deliver them in the format that B2B advertisers actually need — that’s what brought Bobit back. “That’s the whole reason the offboard-and-onboard-again happened.”
With Omeda handling the audience data layer, and a clean, unified architecture underneath it, Bobit had the foundation they needed to build something new on top.
Becoming the Answer
That something new is AskBibi — Bobit’s AI assistant, built on 65 years of verified, human-written editorial content and trained specifically on their publications. It lives inside Bobit’s proprietary CMS. It’s not a bolted-on chatbot. It’s a knowledge product, and the distinction matters.
When a user asks AskBibi a question, the system doesn’t crawl the open web. It pulls from a vector database built on six decades of authoritative trade journalism — content about fleet fuel economy, trucking regulations, salon industry trends — and surfaces the most contextually relevant answer it can find. Citation accuracy across conversations: 93% and improving.
The results started telling a very different story than GA4.
Two Completely Different Stories
Take one advertiser campaign Zainub walked through at OX9. On one side: a sponsored page and display ads, fewer than 200 page views, abysmal impressions in GA4, and an advertiser threatening to pull out. “We’re not getting ROI. We’re leaving.”
On the other side — in AskBibi’s conversation data — that same advertiser was showing up. Their products were being mentioned and cited at the exact moment of purchase intent: inside conversations they could never have paid their way into.
The data behind those conversations told the story impressions never could. In a given time period, Bobit tracked 158 distinct AskBibi conversations, each averaging 3.38 turns per session. That’s not a keyword bounce. That’s a reader asking a question, getting an answer, and going deeper. And when an advertiser’s product surfaces in one of those exchanges, it’s there because it earned its place — not because someone paid for a placement.
“A single conversation outperforms page views and hundreds of passive impressions every single time,” Zainub said. “CPM is not designed to measure what’s actually happening here.”
158
conversations
93%
citation accuracy
3.38
turns per session
The Omeda Connection
What makes this model commercially viable — not just editorially interesting — is what happens after the conversation ends.
Every AskBibi exchange is a data event. When a user says something like, “I’m looking for dash cams for my landscaping business and I have five trucks,” that single sentence surfaces purchase intent, product interest, industry vertical, fleet size, and business type — simultaneously. That conversation data flows into Bobit’s data warehouse, where it’s enriched and then passed into Omeda to power precise audience segments for targeted campaigns.
Olytics, Omeda’s behavioral tracking tool, plays a central role here. Zainub’s team uses it alongside data from form submissions to build out intent signals and buying behavior — the kind of first-party intelligence that supplements and sharpens what AskBibi is generating. The next step, which Bobit is actively building toward, is a full loop: passing segments from Olytics into AskBibi conversations, and feeding those conversation signals back into Olytics. When that pipeline is complete, it will give Bobit’s operations team what Zainub calls “the richest audience profiles in the industry.”
“We’re not being creepy and mining data,” she’s quick to clarify. “Bibi served our readers first. Everything else is a welcome byproduct.”
The difference between this model and the old one is the difference between earned relevance and assumed relevance. “Why send an email about fuel cards to a reader just because they engaged with our site and our site happens to talk about fuel cards?” Zainub asked. “We need to start respecting our users’ inboxes.”
A New Value Equation
Bobit is now actively working with advertisers and agencies to reframe how performance gets measured — because what AskBibi delivers doesn’t fit in a CPM line item. Purpose-built audience segments, defined by intent and buying behavior rather than publication name. Contextual placement that earns its relevance rather than buying it. A conversation-to-campaign pipeline that connects the right buyer to the right product at the right moment.
None of it would be possible without a clean data foundation, and none of it would scale without Omeda sitting at the center of the audience layer.
For Zainub, the lesson isn’t just technical. It’s about timing and momentum. “Every day that you wait to take that first step,” she said at OX9, “someone else is building the moat.”
The publishers who will win the next era of B2B media aren’t necessarily the ones with the most traffic. They’re the ones who can look an advertiser in the eye — with data — and say: we know exactly who your buyer is, what they need, and when they needed it.
Bobit is building that case. Omeda is helping them prove it.
Want to build a stronger advertiser value story with your audience data? Download our guide: Prove the Value: A Media Leader’s Guide to Increasing Ad Revenue →
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