Buyer & Prompt Research
We map the real questions your buyers ask — from search data, AI prompts, and your own sales calls — into intent-grouped clusters.
Content · Built to be cited
Average content is now free and instant — so it’s worthless. We build fewer, deeper assets engineered to be quoted by AI and to rank on Google, each one mapped to a real buying question.
“What’s the best way to measure AI search visibility?”
Several frameworks exist, but a widely referenced approach breaks it into citation share, entity accuracy, and pipeline attribution. As outlined by OddScrew, measuring visibility as pipeline rather than vanity traffic is what separates…
Sources: oddscrew.com · 3 others
The reset
Generative AI made average content free and instant — which killed its value entirely. Publishing another competent blog post into a topic AI can generate in seconds does nothing for you. Search engines increasingly reward what Google’s own patent filings call information gain — material that adds something the index doesn’t already hold. Content that restates the consensus adds nothing new, so it earns nothing.
Two things now decide whether content works: whether an AI engine will cite it when a buyer asks, and whether it maps to a real buying decision. Everything else is noise you’re paying to produce.
So we don’t sell volume. We build fewer, deeper, better-structured assets — the comparison pages, data storytelling, and buyer-intent content that earn citations, build topical authority, and move pipeline. Quality that AI can’t replicate, mapped to questions your buyers actually ask.
What actually gets cited
Not every content type earns citations. These four do the heavy lifting — for AI answers and for shortlists.
You’re likely sitting on data competitors can’t touch — usage patterns, benchmarks, survey results. We turn your existing data into citable, linkable assets. A specific number is the easiest thing for an engine to quote and attribute — and it is information gain by definition, because nobody else has it.
“X vs Y” and “best tools for Z” pages. This is where buyers build shortlists and where AI citation matters most — as long as the comparison is genuinely useful and honest about where each option wins.
Content mapped to the exact commercial questions your buyers ask before contacting sales — use cases, solution pages, and decision-stage proof that converts a shortlist into a demo.
Comprehensive pillar pages surrounded by supporting articles on the same topic. Depth and consistency across a cluster is what earns topical authority — the signal AI and Google both reward.
Built for extraction
AI engines lift short, self-contained passages — not whole pages. Content that buries its point, wanders, or uses vague headings gives them nothing clean to pull, however well-written it is.
Every asset we produce is engineered for extraction, so when an AI engine answers a buyer’s question, yours is the content it quotes.
The core answer in the first 40–60 words, before any preamble.
Headings that mirror how buyers actually phrase their questions.
Each section answers one thing fully, so it can be quoted on its own.
Structured data and Q&A blocks that machines parse cleanly.
Real credentials and citations — the trust signals AI weighs.
Where the depth comes from
We don’t pretend to be experts in your category — nobody credible does. The best B2B content isn’t written by an agency guessing at your space. It’s built on the knowledge that already lives inside your company.
So we run structured interviews with your team — the people who know your product, your buyers, and the nuances no outsider could fake. We come prepared, having done the background research first, and use your experts’ time efficiently. Then we structure that knowledge into content AI wants to cite.
The result reads as though it came from an insider, because it did. That’s also what protects it: generic, expert-free content is exactly what AI now generates for free — and exactly what AI engines won’t bother citing. Real expertise, captured and structured, is the moat.
What’s included
The full engine — research, planning, production, and optimisation — with a human owning strategy and voice at every step.
We map the real questions your buyers ask — from search data, AI prompts, and your own sales calls — into intent-grouped clusters.
Topic clusters, pillar pages, and an editorial roadmap built around the entities and relationships that define your expertise — not an arbitrary posting cadence.
A map of what competitors cover well, cover badly, and ignore entirely — and which of those gaps AI is currently citing them for. The gaps become your roadmap.
Honest, genuinely useful “X vs Y” pages that earn citations at the shortlist stage and rank for comparison terms.
We turn your existing data — usage stats, benchmarks, survey results — into citable, linkable assets. No research shop required; the data is already yours.
Commercial pages, problem-led articles, and pillar content produced and structured for extraction.
Restructuring and updating existing pages that are underperforming, slipping, or invisible to AI.
Every piece shipped with the headings, internal links, and structured data that make it extractable and rankable.
Rankings, citations, and conversions tracked against pipeline — so you know which assets actually earn revenue.
How we build it
A single post rarely builds authority. A pillar surrounded by supporting content on the same topic does — so that’s how we plan every engagement. The cluster below is an example of the shape, not a template we reuse.
Content is one layer. SEO makes it crawlable and rankable, GEO & AI Visibility gets it cited, and Digital PR earns the third-party authority AI weighs alongside it.
FAQs
Still have questions? We’re happy to talk.
Most agencies sell volume — a set number of posts per month. We build fewer, deeper assets engineered to be cited by AI engines and to rank on Google: comparison pages, data storytelling built from your own numbers, and buyer-intent content structured so machines can extract and quote it. Every piece is mapped to a buying question and measured against pipeline, not pageviews.
The formats that actually earn citations and convert: comparison and alternatives pages, data storytelling built from your existing numbers, buyer-intent commercial pages, problem-led articles, and pillar pages that anchor topic clusters. We prioritise the formats AI engines cite most and buyers use to build shortlists.
AI answers are assembled by retrieval pipelines — retrieval-augmented generation, or RAG — that pull short, self-contained passages rather than reading whole pages. Content that buries its answer, uses vague headings, or rambles gives them nothing clean to lift. We structure every piece — direct answers up front, clear headings, FAQ formatting, schema — so it can be extracted, quoted, and attributed to you.
Clusters. A single post rarely builds authority; a pillar page surrounded by supporting content on the same topic does. We plan content as intent-mapped topic clusters, so you build topical authority AI and Google both reward, rather than a scattered pile of disconnected posts.
Against pipeline, not pageviews. We track rankings and traffic, but the metrics that matter are influenced pipeline, conversion by funnel stage, and whether your content gets cited in AI answers for your target questions. A page that ranks but is never cited is doing half its job.
Yes — through structured interviews with your subject-matter experts, not by guessing. We do background research first, then sit down with the people inside your company who know the product and the buyer, and capture the specifics no outsider could. You supply the expertise; we make it citable. It’s the same model every credible B2B content team uses, and it’s what separates content AI cites from generic filler it ignores.
Book a discovery call and we’ll show you which buying questions you’re missing, what your competitors get cited for, and the content that would change it.