Mentioned
Your name appears in the answer. Useful, but a mention alone rarely wins a shortlist.
An overview
Stand out. Get chosen.
AI visibility, brand authority and expert execution for B2B technology brands.
The shift
Buyers ask AI who to shortlist. Most brands have never read the answer.
The answers are built from public evidence that is patchy, moving and rarely inspected by the brands it affects. We make it visible, and we keep three very different outcomes apart.
Cited
Your own evidence is used as a source. The answer is being built on what you published.
Recommended
You are suggested for the buyer's stated need. This is the outcome that moves pipeline, and the one we work to earn.
Mentioned is not cited. Cited is not recommended.
The buyer question
Which vendors should we shortlist?
The synthesised answer
One answer, assembled from public evidence.
Three outcomes, never blended
- Mentioned
- Cited
- Recommended
What we do
Being good should get you noticed.
Agency expertise and a purpose-built method, working as one. Three moves, repeated until the answers change.
Find your position.
See where you appear, what gets cited and who gets chosen, across the buying questions that decide your category.
Build the evidence.
Make your expertise easy to find, verify and confidently recommend, with the proof models actually cite.
Make your next move.
Turn every gap into focused, owned work, then measure what changes on the same questions over time.
The method
From buyer question to measurable change.
Start with the questions buyers actually ask.
A visibility programme that begins with keywords begins in the wrong place. We define the buying questions that shape a shortlist, in the language a buyer would use, and agree which ones matter commercially.
Observe what the answers say.
We record what AI assistants answer to those questions, with the sources they cite and the brands they recommend. Every observation keeps its provider, period and cohort, because an answer without that context cannot be trusted.
Separate mention, citation and recommendation.
A brand can be mentioned without being cited, and cited without being recommended. We keep the three apart and report each with its own denominator, never as a single score.
Turn the gaps into work.
The evidence points at specific gaps: a claim with no supporting source, an integration described nowhere, a category question where you never appear. We turn each gap into prioritised work with an owner and an expected effect.
Measure what changes, and say what does not.
Every intervention is recorded with its date and intended outcome. We compare before and after on the same questions and cohort, and we report flat or negative results as openly as the ones that move.
Ways to start
01 / Audit
See the baseline.
A defined question set, observed answers, citation and recommendation analysis, and a prioritised plan.
Start with an audit02 / Programme
Change the answers.
A managed programme: evidence built, gaps closed, and progress measured on the same questions every month.
Talk to us03 / Intelligence
See it for yourself.
The platform as we build it: your questions, observations and evidence in one place. Create an account and try it as it grows.
Join early accessThe technology
Every number opens onto its evidence.
Each metric is intended to open onto the observations behind it: the question that produced it, the provider and period it was observed in, and the sources that were cited. Where the evidence is thin, the interface is intended to say so rather than manufacture confidence.
Evidence before score
Every number opens onto the answers behind it. No single composite passed off as truth.
Clear about uncertainty
Answers vary by provider and over time. Where the evidence is thin, we say so.
Nothing claimed that cannot be shown
No invented results, testimonials or partnerships. Verified case studies appear when they exist.
Visibility by buying question
Illustrative, not client data| Question | Mentioned | Cited | Recommended |
|---|---|---|---|
| Best analytics platform for regulated reporting | Level 4 of 5 | Level 3 of 5 | Level 2 of 5 |
| Alternatives to the market leader for mid-size teams | Level 5 of 5 | Level 2 of 5 | Level 1 of 5 |
| Which vendors integrate with our data warehouse | Level 2 of 5 | Level 4 of 5 | Level 3 of 5 |
Top evidence gap
No public source describes your warehouse integrations.
Next action
Publish an integration guide and a verified partner listing.
On the roadmap
What we are building next.
Demand map
Buyer scenarios and the questions behind them.
Planned
Evidence graph
Claims, sources and observations, linked.
Planned
Action list
Gaps turned into owned, prioritised work.
Planned
Intervention record
What was done, and what changed afterwards.
Planned
Early access
Answer Position Intelligence is in early access. It is built in the open, and where the evidence is thin it says so rather than manufacturing confidence.
Stand out.
Get chosen.
Create your account in under a minute. Start with your first project and the questions that matter.
