King's College London
£21,000 programmes, 3 to 12 month cycles
Cost per lead fell from £320 to £185 while paid cost per click fell 41%.
Read itYou invested in content for years. Now AI answers the question above your link, your sellers do not use what marketing makes, and the library sits on the balance sheet as cost. We do not make more content. We give the content you already own a job again: cited in AI answers, used by your sellers, and measured in pipeline.
Who should we shortlist for this? Best vendors, ranked.
We run this probe on your category in the audit, before we build anything.
Your buyers ask an assistant before they ask you, and the answer is a shortlist measured in pipeline, not page views.
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For twenty years, the way to win a crowded market was to out-publish the other firm. That advantage is gone. Publishing is cheap now, every market flooded at once, and buyers now ask an assistant first. The firms that spent the most are hit hardest, because they own the most content with no job. Owned content still compounds, but only when it works.
Owned also makes paid work harder
Paid moves from buying discovery to amplifying what converts. Source: The State of B2B Content Marketing 2026; Yang and Ghose, Marketing Science.
Your in-house team, agencies, RevOps, and sales enablement all stay. We install one thing: Content RevOps, content run as revenue infrastructure inside the Salesforce, Marketo, or HubSpot you already run, and measured like any other revenue system. Everything we build stays yours.
In the average library, about 1 piece in 6 helps a buyer decide. We do not add more. We take the research only you can produce and put it in the places that decide deals: AI answers, search, your sellers' hands, your dormant database. One asset turned into many, reporting one honest number a month to the board.
Buyer: "Honestly we just need to know it will not blow up our existing stack."
Buyer: "Who else at our size has done this?"
What we connect
The system
one flagship asset at its core
1 asset → 20+ outputsWhere it lands
listening for signals…
Three things are true of almost every large library we audit: maturity peaked years ago, the engines cite someone else, and the middle of the funnel was never built.
Evidence from our own research: The State of B2B Content Marketing 2026 (close to 14,000 company websites across seven sectors) and The Ultimate AEO Guide.
Original research from data only you hold, and answers written the way buyers actually ask, so AI assistants name you. Banking Crowded now takes about 22% of its inbound from AI.
A flagship research programme under your executives' names gives the market a number to quote, and gives you the citation when they quote it.
"…the category now benchmarks against your firm's annual index, cited in 40+ trade pieces this year."
Comparisons, ROI models, and proof, built to the stage and placed in the sequences your reps already run. At Lucid this took replies from 3 to 4% to 14 to 18%.
Every question answered before the call is a week off the deal. GRC cut early drop-offs by 40%.
£21,000 programmes, 3 to 12 month cycles
Cost per lead fell from £320 to £185 while paid cost per click fell 41%.
Read itLong, consultative banking cycles
Inbound moved from about 15 leads a month to 120 to 150, about 22% of it from AI assistants.
Read itBook a call and we will walk through where your content estate leaks, what the assistants say about you, and how the content you already own becomes revenue infrastructure.