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B2B GEO & AI SEO

B2B GEO & AI SEO. The shortlist is now built before you hear from anyone.

Buying committees research suppliers with an assistant long before an RFP exists. By the time you get a call, the field has been narrowed to three or four names. B2B GEO is about being one of them.

The prompts that decide it

Low volume. Very high value.

Nobody optimises for these prompts because the search volume looks negligible. But a single shortlist inclusion in enterprise procurement can be worth more than a year of consumer traffic.

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Who are the leading providers of [service] in the UK?The category authority prompt. Being absent here means never entering the process.

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Which vendors should we shortlist for [requirement]?Explicit shortlist construction, decided by proof, references and category presence.

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Has anyone solved [problem] for a company our size?Case-evidence prompts where specific, sector-matched proof gets you named.

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What should we ask vendors when evaluating [category]?An evaluation-criteria prompt. Shaping the criteria is quieter than being named, and often more valuable.

We build your prompt set from your own category and run it against live models - these are illustrative.

What makes it different

Proof is the currency

B2B answers are built from analyst coverage, directories, case evidence and category commentary - not campaign pages. Models are looking for reasons to justify naming a vendor, and specific proof is the only thing that supplies them.

committees

The buyer is a group

Multiple stakeholders research independently. You need to be defensible to a sceptic, not just appealing to a champion.

proof

Specifics beat positioning

Named sectors, sizes, outcomes and constraints give a model something concrete to cite. Positioning language gives it nothing.

sources

Analysts and directories carry weight

Third-party category sources are heavily weighted precisely because they are not the vendor speaking.

Services

What B2B GEO involves

audit

Shortlist prompt audit

We test the category, shortlist and evaluation prompts your buyers use, and map which vendors are named and why.

proof

Proof & case evidence content

Turning client outcomes into specific, structured, citable evidence - sector, scale, constraint and result.

authority

Category authority building

Original perspective and data that makes you a source models quote when explaining the category itself.

sources

Analyst & directory presence

Coverage and consistency across the third-party sources models weight most heavily in vendor answers.

What wins

Written for the sceptic in the room

Enterprise buyers are trained to discount vendor claims, and models behave similarly. Content that survives scrutiny is content that gets cited.

Specific over superlative

“Leading provider” is unciteable. “Deployed across 40 sites in regulated manufacturing” is a fact a model can use.

Named constraints

Stating who you are not for is a strong trust signal and helps models place you accurately rather than skipping you.

Reference evidence

Client references, sector proof and verifiable outcomes are the most powerful assets in the category.

What we measure

How we measure B2B GEO

  • Vendor shortlist inclusion rate by prompt set
  • Category authority citation share
  • Sector and use-case match accuracy in answers
  • Analyst, directory and third-party coverage
  • Accuracy of model-stated capabilities and positioning
  • AI referral traffic and pipeline attribution in GA4
  • Before/after prompt testing on live models
  • Competitive displacement on category prompts
FAQ

B2B GEO questions

What is B2B GEO and AI SEO?
B2B GEO (also called AI SEO) is Generative Engine Optimisation for business-to-business vendors: getting named when buying committees use AI assistants to research a category, build a vendor shortlist and set evaluation criteria.
The search volume for these prompts is tiny - is it worth it?
Volume is the wrong measure in B2B. A single shortlist inclusion in an enterprise buying process can outweigh a year of consumer traffic. Value per answer, not volume, is the metric that matters here.
How do we prove ROI on something this early in the funnel?
We track AI referral traffic and attribute it into your pipeline where possible, and run before-and-after prompt testing so shortlist inclusion is measured directly rather than inferred from traffic alone.
What if we can't publish client names?
Anonymised but specific proof still works well - sector, company size, constraint and outcome give a model something concrete to cite even without a named logo.
Is this different from thought leadership content?
It overlaps but the target differs. Thought leadership aims at a human reader; B2B GEO aims at being the source a model quotes when explaining or shortlisting in your category. The best content does both.
How does this compare to your SaaS GEO service?
SaaS GEO focuses on product-led discovery through alternatives and comparison prompts. B2B GEO covers longer committee-led selection. Software companies selling into enterprise often need both.

See whether AI puts you on the shortlist

We'll test the category and shortlist prompts your buyers use and show you which vendors are being named in your place.