Use case
Drive B2B Demand Generation via AI Search
Reach B2B buyers where their research now starts
B2B buying committees increasingly begin problem research inside AI assistants — long before they fill out a form or talk to sales. They ask AI to frame the problem, name the solution categories, and shortlist vendors. Demand generation via AI search means being present and cited across that entire research journey, not just at the bottom-funnel comparison stage.
The problem
Most B2B demand-gen programs optimize for late-stage, high-intent capture — the vendor-comparison and pricing queries. But by the time a buyer reaches those, the consideration set is usually already formed upstream, during problem-framing and category-education research that happens in AI. Brands absent from that upstream research rarely make the shortlist, no matter how good their bottom-funnel content is.
Our approach
Map the full-funnel AI research journey
We map the problem-awareness, category-education, solution-evaluation, and vendor-comparison queries B2B buyers run through AI, and audit where you appear at each stage.
Build top-of-funnel problem and category content
We produce problem-framing and category-education content engineered to be cited when buyers first research the problem — establishing your brand early in the consideration set.
Connect education content to solution content
We interlink upstream educational content with mid- and bottom-funnel solution and comparison content so AI carries your brand through the full research journey.
Instrument demand attribution
We implement source attribution across the funnel so you can quantify AI-influenced demand, not just last-touch AI-referred conversions.
Track citation share by funnel stage
We measure your citation share separately at each funnel stage so you can see where you're winning early research and where you're only capturing late-stage intent.
What outcomes look like
Citation presence from problem-awareness through vendor comparison
Enter the consideration set earlier, during problem-framing research
AI-influenced demand quantified across the funnel, not just last-touch
AI-researched buyers arrive further along the decision journey
Who it's for
FAQs
How is this different from AI lead generation?+
Lead generation focuses on high-intent, bottom-funnel query capture and conversion. Demand generation covers the full research journey — problem awareness, category education, and evaluation — so your brand enters the consideration set upstream, before buyers reach comparison and pricing queries.
Can you attribute upstream AI influence to pipeline?+
Partially and improving. Last-touch AI referrals are directly measurable; upstream influence is harder and requires multi-touch attribution, source surveys, and self-reported research behavior. We instrument what's measurable and are transparent about what remains directional.
Does full-funnel GEO take longer than bottom-funnel work?+
Yes — building citation presence across the full journey is a broader content program than winning a handful of comparison queries. But it addresses the reason many brands never make the shortlist: absence from the early research that forms the consideration set.
Run this play for your brand
Book a free strategy call. We'll scope this exact use case against your business and show you what month-1 looks like.
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