AI Presence Strategy for B2B, technology & industry
Roadmap to make your brand more discoverable, understandable and citable across generative engines.
For companies aiming to enter AI-generated shortlists, RFPs and vendor research workflows.
What this engagement
actually does for this buyer.
A B2B vendor preparing for a category-defining year wants AI Presence treated as part of GTM, not as a marketing afterthought. AI Presence Strategy delivers the cross-functional plan: marketing owns analyst coverage, customer success owns case-study production, partnerships owns marketplace listings, product-marketing owns category-definition work. Each track has named source targets (Gartner, G2, AppExchange) and named competitors to overtake on shortlist appearance, sequenced quarter-by-quarter against renewal cycles and major events.
The questions they're
asking right now.
“AI presence strategy for a B2B SaaS vendor scaling to enterprise”
“how to enter the Gartner Magic Quadrant and get cited by ChatGPT”
“AI visibility roadmap for a vendor competing with Datadog and Splunk”
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
Per-team AI presence ownership map across marketing, CS, partnerships and product-marketing
- 02
Quarterly source-acquisition plan with named analyst and peer-review targets per quarter
- 03
Category definition document anchoring how AI engines should describe the vendor as entity plus best-for claims
Where the citations
actually come from.
How this engagement
fits the sector.
AI Presence Strategy
Roadmap to make your brand more discoverable, understandable and citable across generative engines.
AI Visibility Audit for B2B
Diagnose how ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode describe, cite, ignore or misrepresent your brand.
GEO · AEO · LLMO for B2B
We optimise content, structure, data, FAQs, comparisons and key pages for generative answers.
Citation & Source Engine for B2B
We activate mentions, external sources, listings, partners, reviews and references AI already consults.
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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