METHODOLOGY

How SeenPoint measures AI search.

Locked buyer questions. Four AI search environments. Seven controlled runs each. Every observation captured, classified and traceable — so every opportunity rests on evidence, not guesswork.

  • 4CORE ENVIRONMENTS
  • 7CONTROLLED RUNS
  • 28OBSERVATIONS PER QUESTION
7 CONTROLLED RUNS01020304050607
ChatGPT Search
Perplexity
Claude Web Search
Google AI Mode

28 OBSERVATIONS PER QUESTION

THE SEENPOINT 28-OBSERVATION PROTOCOL

Six steps. Every programme.
No shortcuts.

4 AI search environments. 7 controlled runs each. 28 recorded observations per buyer question. The same process for every programme, in every market we measure.

  1. 01

    LOCK THE QUESTION

    Every commercial question is drafted, validated and approved by you, then version-locked before measurement.

  2. 02

    FIX THE CONDITIONS

    Market, location, language and session are documented. Every run starts fresh, with no prior context.

  3. 03

    CAPTURE 4 × 7

    Seven controlled runs in each of four environments, across two days: runs 1–4 on day one, runs 5–7 on day two.

  4. 04

    CLASSIFY EVERY OBSERVATION

    Mention, recommendation, citation, source, source basis, placement and competitor visibility, recorded separately.

  5. 05

    QUALIFY THE OPPORTUNITY

    An opportunity is recorded only when the evidence passes SeenPoint's opportunity gate, then prioritised P1, P2 or P3.

  6. 06

    VERIFY, THEN RETEST

    Completed work is verified against its Definition of Done. When your programme includes a retest, the same questions are retested under comparable conditions.

HOW WE LABEL EVERY STATEMENTOBSERVEDCALCULATEDSUPPORTED INFERENCEHYPOTHESISRECOMMENDATION
POSSIBLE OUTCOMES AFTER RETESTINGCHANGE OBSERVEDNO MATERIAL CHANGEINSUFFICIENT EVIDENCE

Every observation stays traceable.

PROOF YOU CAN TRUST

Every result. Measured.

AI search changes constantly. SeenPoint measures it — the same questions, the same environments, comparable conditions, before and after your changes. You see exactly what moved, so every next dollar goes where the evidence points.

ILLUSTRATIVE EXAMPLE — FICTIONAL DATACHANGE OBSERVED

"Who are the most reliable packaging suppliers for food manufacturers?"

BEFOREAFTER
ChatGPT Search0/7→3/7
Perplexity0/7→2/7
Claude Web Search0/7→2/7
Google AI Mode0/7→2/7
TOTAL0/28→9/28

The work moved the result. Build on it.

ILLUSTRATIVE EXAMPLE — FICTIONAL DATANO MATERIAL CHANGE

"Who supplies recyclable stand-up pouches for food brands in the US?"

BEFOREAFTER
All four environments0/7→0/7
TOTAL0/28→0/28

You know where not to spend more — and where to redirect effort.

ILLUSTRATIVE EXAMPLE — FICTIONAL DATAINSUFFICIENT EVIDENCE

"Where can I buy high-barrier film packaging for snack products in the US?"

BEFOREAFTER
ChatGPT Search2/7→2/7
Perplexity0/7→0/7
Claude Web Search0/7→0/7
Google AI Mode0/7→1/7
TOTAL2/28→3/28

You know to keep measuring before you invest further.

WHY THIS MATTERS

No guesswork

Every result measured the same way.

Smarter spend

Invest where the evidence moves.

Compounding insight

Every cycle sharpens the next.

THE FIRST PLACE TO LOOK WHEN AI OVERLOOKS YOUR BUSINESS

Know what AI is telling
your customers.

Find the gaps. Fix what matters. Prove what changed.

What is one missing AI shortlist worth to your business?

WATCHMonitoring only, after a baseline · dated change reports on your locked questions Monthly$79/mo → YearlySAVE $158$790/yr →
Every plan, three ways to pay: once · monthly with your full baseline in month 1, no contract · or yearly, 12 months for the price of 10

First evidence in 7 business days

after you approve your questions

Fixed prices, no sales call

Every finding traces to recorded evidence

All prices in USD.