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cases · measured, dated, published

cases.

009 Agency case studies are reported the way we report to clients: baseline first, then the work, then measured runs with dates. AI answers are volatile, so every result below is a point in a tracked series, not a peak we screenshotted once.

casestudies #1, #3 and #4 are named, with the clients’ approval. casestudy #2 is published under NDA: the figures are real, dated and logged, the identifiers are not shown. every number comes from our logged measurement panels.

Casestudy #1: 009 Agency and Manimama casestudy #1 · named, with the client’s approval

Manimama: from absolutely invisible to the #2 answer in Europe

An EU crypto-law firm with 1,004 published articles the engines had read and never once recommended. Twenty buyer prompts, four engines, every run dated and logged: zero recall in june, all twenty by august, #1 in ChatGPT, #2 in Europe on Perplexity - cited from the firm’s own page.

0/20 → 20/20buyer prompts, jun → aug 2026
#2 in EuropePerplexity, citing the firm’s own page
aug 21, 2026 · 11 min readread the case →
Casestudy #2: 009 Agency and an online casino under NDA casestudy #2 · published under NDA

six engines called it a scam. now all six recommend it

A licensed casino that every engine warned German players away from - not because it was a scam, but because its own site never said who ran it. Five months of dated runs: the scam verdicts gone in six weeks, then the recommendations.

6 → 0engines calling it a scam, mar → may
24 → 47health score, two full re-audits
aug 21, 2026 · 14 min readread the case →
Casestudy #3: 009 Agency and INC4 casestudy #3 · named, with the client’s approval

INC4: from mistaken identity to the source the engines quote

A Kyiv and Lisbon AI studio whose brand name resolved to an IEEE conference and a UN committee before the company itself, while the engines quoted pages that had stopped existing. Health score 27 → 53 in seven weeks, all four engines naming it inside the first month, and by review 4 first place on the programme’s main buyer question - with the firm’s own article as a source.

27 → 53health score, 14 may → 2 jul
8 of 52answers naming it on the fintech panel, #1 in 4
aug 31, 2026 · 16 min readread the case →
Casestudy #4: 009 Agency and Binaryx casestudy #4 · named, with the client’s approval

Binaryx: ×238 more visits from AI assistants

A tokenized real estate platform that had just migrated from Webflow to Astro: hundreds of URLs returning errors, a blog Bing had never indexed, and the brand named in 3% of AI answers about its category. Five months in four languages, every change measured against the pages and languages that did not get it.

3 → 713visits a month from AI assistants, apr → sep 2026
13th → 4thshare of voice of 14 rivals, 50 prompts
sep 17, 2026 · 14 min readread the case →
writing right now casestudy #5 · in progress

Enterprise case: 29 → 75, and first place in two markets

An enterprise client under NDA, measured on the same frozen-panel method as the three cases above. Re-audited eight weeks after the baseline; first on its buyer questions in the USA and China with Claude and Perplexity. The case is being written and publishes once the client approves.

29 → 75health score at the re-audit, eight weeks later
#1 in USA and Chinaby Claude and Perplexity
measured, being writtensoon
casestudy #6 · open

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Published aug 21, 2026, updated sep 17, 2026 with the fourth case and a fifth in progress. Every figure on this page is a snapshot of a dated, logged run; nothing updates by itself. Prompts are run live against the engines, never from cache, and fired ten separate times on each engine per pass.