//.the_platform
The Citation Intelligence Platform.
An instrument, not a brochure. Before we move a number, we measure it — the same way, every time, across every engine.
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+ Copilot snapshot
Every Recommendation Index is built from the same declared set of buyer questions across seven engines — and a Copilot snapshot — in one sweep. No tool swapped mid-flight, so the readings are comparable to each other and to next month's.
Not a mock-up. A real client’s reading
One sweep, one real client, name withheld. This is what the platform actually returns — not the illustrative sample below it.
Mention rate by AI platform
Sentiment on the answers that do mention them: 57% positive, 43% neutral, and a single negative mention out of 855 sentiment-scored answers — read, sourced, and shown to them with the exact quote.
Six readings, one honest number
Each sweep returns more than “are you mentioned”. Your Recommendation Rate™ — how often you’re the answer, per engine — position-weighted share of voice, a whitespace map of every gap, a ranked list of what to fix first, and a check on whether the engines are telling the truth about you.
The whitespace grid — where you're cited, and where a rival owns the answer:
| Query cluster | ChatGPT | Claude | Gemini | Perplexity | AIO | Grok |
|---|---|---|---|---|---|---|
| Best wealth firm, Surrey | Cited | Partial | Absent | Cited | Absent | Partial |
| IFA for business owners | Partial | Absent | Absent | Partial | Absent | Absent |
| Multi-generational planning | Cited | Cited | Partial | Cited | Partial | Absent |
| Alternatives to the big names | Absent | Absent | Absent | Partial | Absent | Absent |
The work, ranked by value
The platform doesn't just show the gaps — it ranks them, so the first month's work is the highest-value citations to win, not the easiest ones to tick off.
Multi-generational planning explainer
A rival owns this answer on four of seven engines. One citable, passage-level page is the fastest way in.“Surrey + business owner” queries
You're partial on two engines — a cleaner, front-loaded answer turns a mention into a citation.Independent-review presence
Here the engines lean on VouchedFor and Trustpilot; your profile is thin, so the citation goes elsewhere.
The hallucination battery
Fifteen brand questions, run across the engines, flagging where an AI states something untrue about your firm — the risk no ranking tool thinks to look for.
Why the number holds up
- 36,000+ AI answers analysed
- The evidence base behind the Recommendation Index — real AI answers logged across seven engines plus a Copilot snapshot, and growing with every sweep. Not estimates.
- Declared, versioned prompt universe
- The exact questions are written down and version-controlled — so the number is reproducible and auditable, not a one-off you have to take on faith.
- Parametric baselines
- We measure what each model already knows about you before any retrieval — the floor every later reading is measured against.
- K-run averaging
- Every figure is an average of multiple runs, so it's statistically stable — not a single lucky (or unlucky) snapshot.
- Multi-turn + sentiment
- Not just whether you're named, but in what light, and across a real back-and-forth — the way buyers actually ask.
How a sweep runs
Define
We build the declared prompt universe for your sector — the real questions your buyers put to the engines, version-controlled from day one.Discover
The sweep runs across seven engines, with a parametric baseline of what each model already knows about you before any retrieval.Analyse
Position-weighted share of voice, the whitespace grid, the hallucination battery, and a value-ranked list of the gaps to close first.Optimise
We produce the citable work — then re-run the identical sweep, so you see what moved, and when.
Reproducible, not vibes
Most AI-visibility tools hand you a number you can't reproduce. The CIP is built so you can re-run it — and so the work that moves it lives in the same place.
| Dimension | Avouch CIP | Typical AEO tools |
|---|---|---|
| The number | Reproducible — declared prompts, averaged over runs, re-run on request | A single snapshot you can't reproduce |
| The prompts | A declared, versioned prompt universe | An ad-hoc handful, changed between reads |
| The pipeline | One pipeline we own, end to end | Vendor tools swapped mid-engagement |
| The baseline | Parametric — what the model already knows | Starts at retrieval; no baseline |
| After measuring | We produce the work that moves it | Measurement only — the work's on you |
//.the_standard
If we can’t re-run the number in front of you, it doesn’t go in the deck.
The platform exists so every figure on every page traces back to a sweep you could watch us run again.
The Avouch measurement standard
Measurement is the floor. Being vouched for is the point
All of this rigour serves one outcome: the AI names you, and has good reason to.
Showing up
visible · mentioned · on the list
Vouched for
the client who chose you
Platform questions
- Is the platform something I log into?
- No — it's how we produce your Recommendation Index and run your retainer, not a self-serve dashboard. You get the readings and the work; we run the instrument. A client view may come later.
- Which engines do you measure?
- Seven — ChatGPT, Claude, Gemini, Perplexity, Grok, Brave and Google AI Overviews — plus a Copilot snapshot. More are wired and switched on as they start to matter.
- What makes your number more trustworthy than another tool's?
- It's reproducible. The prompts are declared and version-controlled, every figure is an average of multiple runs, and we own the pipeline end to end — so we can re-run the exact measurement and get the same answer.
- Are the sample numbers on this page real?
- One reading is: the mention-rate figures are a real client's actual sweep, name withheld, tagged as verified. The share-of-voice, whitespace and opportunity examples further down are illustrative and clearly tagged as such. Your Recommendation Index returns your own real figures either way.
AI can't recommend what it doesn't know.
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