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What changed in the answer

Every engagement starts with a baseline: what five models say on day one. These are the before-and-afters.

Share of answers naming the client · five models

Day oneMonth six
B2B SaaS · organic + community1 / 5 → 5 / 5
Fintech · Wikipedia + reviews0 / 5 → 4 / 5
DTC furniture · reviews2 / 5 → 4 / 5
Developer tools · organic0 / 5 → 3 / 5
Climate hardware · training1 / 5 → 3 / 5

Method: the same twenty buyer questions, asked to five models, on day one and at month six. Out of five models, how many name the client unprompted.

Selected work

Six engagements, one method

Filter by service to find work like yours. Every study is measured the same way: the same buyer questions, the same five models, before and after.

SA
Finance-ops platformB2B SaaS · Series B
Reddit organicBranded community

From absent to the first name in the answer, in six months

A finance-ops tool every model described from a 2021 funding announcement. Organic work in eleven communities, then a branded subreddit seeded from their support backlog. By month six, a user-written comparison thread was the top citation in three of five models.

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1→5Models naming them
+1.3kCiting threads
6 moBaseline to result
FT
Regulated fintechFintech · 120 people
WikipediaReviews

Models stopped hedging about who they were

No reference page and a 3.7 on Trustpilot from about 1,100 reviews. A sourced Wikipedia entry after a notability assessment, plus a review programme wired into onboarding.

0→4Models naming them
3.7→4.6Trustpilot, 5 months
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DF
Furniture brandDTC furniture
Reviews

Great customers, mediocre score, fixed by asking

Hundreds of thousands of happy buyers, about 4,000 reviews, most of them about a delivery problem from 2023. Collection at the moment of satisfaction, public replies to every one-star, no incentives.

3.6→4.5Google, 4 months
×9Monthly review volume
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DT
Infrastructure toolingDeveloper tools · Series A
Reddit organic

A month of saying nothing about themselves

Accounts spent four weeks answering unrelated questions in r/devops and r/sysadmin before the product came up once. It came up on its own in week seven. The thread is still cited.

0→3Models naming them
+460Threads with a mention
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MP
Online marketplaceMarketplace · 400 people
Branded community

The outage AMA that became the citation

A branded subreddit launched into a bad week. Engineering answered in public for two hours. Models now quote that thread when asked how the company handles incidents.

64kMembers, 14 months
−31%Support tickets
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CH
Climate hardware makerClimate hardware · Seed
TrainingReddit organic

Two people certified, agency cancelled, numbers kept rising

A founder and a support lead through the four-week certification while we ran organic alongside them. Handed over at month six with a quarter of coaching. They send us referrals now.

1→3Models naming them
6 h/wkInternal time to sustain
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How we measure

Three numbers, the same way every time

We don't report impressions or sentiment scores. We report whether the answer changed, and which source made it change.

Models naming you

Twenty questions your buyers actually ask, put to five major models on day one and at each quarter. How many models name you unprompted, out of five.

→ the headline number

Sources doing the work

Every citation behind every answer, catalogued. Which Reddit threads, which reference page, which review profile, so you know what to keep alive after we leave.

→ what to protect

Time to result

Reviews move in weeks, communities in months, trained weights on nobody's schedule. We report retrieval and training separately, because they behave differently.

→ honest about pace

Find out what AI is telling your buyers

It starts with a visibility audit: €1,499, delivered in a week. What the major models say about you, about your two closest competitors, and the shortest route to changing it.