We help B2B companies get cited and recommended in AI-generated answers, so you're visible wherever your buyers research solutions: ChatGPT, Perplexity, Claude, and Google's AI Mode.
Your buyers have already changed how they search. Has your visibility kept up?
For two decades, being on page one of Google was enough. Now a growing share of research happens inside a conversation, and if the AI doesn't cite you in that answer, you're not in the running at all. This isn't a future risk. It's already reshaping how your buyers choose who to shortlist and who never gets mentioned.
72% of B2B buyers now use AI to scope out a category and define what they need, before they've spoken to a single vendor.
- SEMRush
How we support you with AEO
AI search doesn't work like traditional search, and getting cited in AI-generated answers takes more than good keywords. Our AEO approach follows a cycle designed to build and maintain your visibility across ChatGPT, Perplexity, Claude, and Google AI Mode, engineering how you get recommended rather than hoping you show up.
Strategy
We map the prompts your buyers actually ask, audit where you stand today, and build the roadmap. This is the diagnostic that everything else runs from.
Technical implementation
Structured data, schema markup, and answer-ready architecture, so AI engines can parse and cite your content in the first place.
Content
Pages and posts built to be lifted and quoted: clear answers, real proof points, and the formatting AI engines prefer to extract.
Measurement
We track which prompts surface your brand and which don't, then feed that straight back into strategy. Nothing here is set-and-forget.
From the initial audit through to ongoing optimisation, here's what we build, run, and measure for you.
A full AEO audit benchmarking your current AI visibility against competitors
Prompt and persona mapping, covering the questions your buyers actually ask
A defined AEO strategy setting out content types, channels, and cadence based on what the audit tells us
Structured data and schema markup implementation across priority pages
Answer-ready content built to be lifted, quoted, and cited
Entity and third-party mention building, to strengthen how AI models understand your brand
Scrunch set-up and configuration, tracking prompts, position, and citation frequency
HubSpot reporting connecting AI-sourced traffic to pipeline and revenue
Competitive benchmarking, so you know exactly where you stand against who you're actually up against
Monthly reporting connected to commercial outcomes, not just visibility metrics
Ongoing optimisation as prompts, platforms, and competitor behaviour shift
How we measure AEO success
Visibility tells you what's happening. Revenue tells you if it matters. So, we measure AEO on two levels.
Scrunch is our dedicated AEO platform. It tracks which prompts surface your brand, your position in AI-generated answers, citation frequency, sentiment, and how you compare against competitors, giving us the detail we need to keep optimising at the platform level.
HubSpot handles the commercial side. We track self-reported attribution, HubSpot attribution data, and content performance across the full buyer lifecycle, from first touch as a lead through to closed customer. That's what lets us tie AEO back to pipeline and revenue, not just prompt appearances.
Proven answer engine optimisation impact
We don't ask clients to trust untested strategies. Before offering AI SEO as a service, we spent three months refining and validating our framework on ourselves, building a repeatable, predictable system that drives real AI visibility.
Read the full case studyincrease in high-intent leads from AI sources.
increase in citations where AI engines link directly to our website as the authoritative source.
increase in high-intent organic MQLs year on year
increase in branded search clicks
Why Blend for AEO
AEO is new territory for most agencies. Here's why we deliver results others can't replicate.
Strategy-first
We start with your buyers' actual prompts and behaviour, not a generic checklist applied to every client.
Tested on ourselves first
Before we offered AEO as a service, we spent three months building and validating the framework on Blend's own visibility. We don't ask you to trust an untested approach.
Commercial focus
Every AEO programme ties back to pipeline and revenue through HubSpot, not just prompt appearances and citation counts.
100% in-house team
No white-label subcontracting. The strategists, technical specialists, and content team working on your AEO are the same people working on your wider growth engine.
Some of the team you
could work with
FAQs
Everything you need to know about AEO and getting your brand cited in AI-generated answers.
No. Traditional SEO and AEO complement each other rather than compete, since well-structured, authoritative content built for AI citation also tends to perform better in Google's evolving AI Overviews.
Google itself is increasingly becoming an AI-powered search engine, so this isn't two competing channels needing separate budgets. It's one strategy built to work across both.
Traditional SEO reporting typically centres on rankings and organic traffic in isolation. AEO measurement runs on two connected levels instead: Scrunch tracks prompts, position, citation frequency, and sentiment specifically within AI-generated answers, while HubSpot connects that AI-sourced traffic through the full buyer lifecycle to pipeline and revenue, so visibility and commercial impact get tracked together rather than visibility being reported as the end goal in itself.
Visibility is tracked first, whether a brand appears in AI-generated answers at all, but the real measure runs further than that: traffic from AI sources, and ultimately how much of it turns into genuine pipeline.
Being cited more isn't the same as being cited correctly or consistently. AI visibility depends on active, current signals rather than a fixed position like a search ranking, so a competitor's head start is a gap to close, not a permanently closed door.
Buyer behaviour decides it. The approach starts with mapping the prompts your specific buyers actually ask, so effort naturally weights toward wherever that research is concentrated rather than spreading evenly by default.
Ongoing, and by design. Prompts, platforms, and competitor behaviour all shift, so what earns a citation today isn't fixed, which is why ongoing optimisation is built into the approach itself rather than ending once the initial strategy's in place.





