AI-Ready Content Studio for B2B, technology & industry
Comparisons, FAQ hubs, 'best for' pages, explainers, glossaries and executive guides built to be cited.
For companies aiming to enter AI-generated shortlists, RFPs and vendor research workflows.
What this engagement
actually does for this buyer.
A B2B vendor publishes whitepapers nobody quotes and AI engines can't extract. AI-Ready Content Studio produces the missing layer: comparison content benchmarking against named competitors (X vs Y, alternatives to Z), category-defining explainers anchored on the prompts analysts and peer-review platforms surface, named-customer case studies in citation-quotable form. Every piece is schema-ready (SoftwareApplication + Service + FAQPage) and tested for AI extraction before publication. The content becomes the citation surface that pulls the vendor onto shortlists.
The questions they're
asking right now.
“how does Datadog compare to New Relic for kubernetes-heavy stacks”
“what's the difference between SIEM and XDR in 2026”
“alternatives to Salesforce for B2B SaaS under 200 employees”
How buyers
actually research.
Enterprise buyers run AI through the early stages of vendor research — 'top 5 vendors for X', 'what's the difference between Y and Z', 'who has experience in industry W'. AI builds the shortlist from public reviews, case studies, analyst reports and integration partnerships. By the time a salesperson is contacted, the decision-maker has already narrowed the field. Either you're in the AI-generated shortlist, or you're chasing deals where someone else is the obvious choice.
What matters
in this industry.
- 01
Win the AI-generated shortlist
Enterprise buyers run AI through early-stage research. By the time a salesperson is contacted, the shortlist is already 90% set — either you're on it, or you're chasing.
- 02
Verified case studies and outcomes
Generic claims don't win RFPs. Named customers, specific outcomes, third-party validation — these are the citations AI uses to justify a pick.
- 03
Be in the comparison set
G2, Gartner, Forrester, Capterra, peer reviews. AI cross-references these. A brand invisible to vendor comparison sources is invisible in the AI shortlist.
What AI engines
are reading.
- 01
Customer logos, case studies, named outcomes — the citations AI uses to justify a recommendation
- 02
Service, SoftwareApplication, Organization schema with offers and integrations
- 03
Analyst recognition: G2, Gartner, Forrester, vendor comparison sites
- 04
Integration partnerships, marketplace presence, ecosystem signals
What you get
specifically here.
- 01
Comparison-content library benchmarking against 4-5 named competitors per category
- 02
Category-definition explainers schema-ready and aligned to analyst-firm taxonomies (Gartner, Forrester)
- 03
Named-customer case study set with structured outcome data, AI-extractable
Where the citations
actually come from.
How this engagement
fits the sector.
AI-Ready Content Studio
Comparisons, FAQ hubs, 'best for' pages, explainers, glossaries and executive guides built to be cited.
AI Visibility Audit for B2B
Diagnose how ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode describe, cite, ignore or misrepresent your brand.
AI Presence Strategy for B2B
Roadmap to make your brand more discoverable, understandable and citable across generative engines.
GEO · AEO · LLMO for B2B
We optimise content, structure, data, FAQs, comparisons and key pages for generative answers.
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For universities, business schools and programs competing on international searches and AI-assisted comparisons.
Do you know what AI
says about you?
Request an audit and discover how your brand appears when customers, partners and investors ask AI for solutions, recommendations, comparisons or vendors in your category.
- 01Analysis across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode
- 02Real comparison with your main competitors
- 03Citations, mentions and source review
- 04Detection of errors and incomplete information
- 05Content and authority opportunities
- 06Executive 30 / 60 / 90 day roadmap