Turkish Translation Agency
Measured under its former name, Alafranga Language Solutions
turkishtranslationagency.com · 29 April → 26 June 2026 · 58 days
In 58 days, the two-engine mention rate rose from 8.06% to 27.42%. The only change above the noise margin is on Gemini: +35.5 points against a widest margin of ±9.7.
An Istanbul-born, London-based technical translation agency; ISO 17100 certified, operating since 2002. In April 2026 it was close to invisible in AI engines: mentioned in roughly 1 in 12 relevant queries, and never in a ranked position when it was.
| Metric | 29 Apr | 26 Jun | Change | Noise margin |
|---|---|---|---|---|
| Mention rate (2 engines) | %8,06 | %27,42 | +19,4 pp | — |
| Gemini | %3,2 | %38,7 | +35,5 pp | ±4,0 / ±9,7 |
| Claude | %12,9 | %16,1 | +3,2 pp | ±6,8 / ±7,4 |
| Average position | not listed | 2,75 | entered ranking | — |
93 queries per engine, one behaviour cohort. Noise margin: an engine's rate can drift within this ± range by chance; a change smaller than it is not treated as significant.
What the numbers say
- The Gemini gain is far above the noise margin: +35.5 points against a widest margin of ±9.7. This is a real change.
- The +3.2 points on Claude sit inside the noise margin. We do not count it as a result.
- In April the brand held no ranked position in any answer; by June it averaged position 2.75. Beyond being mentioned, it entered the set of recommended options.
What changed on the site in this period
Three pieces of work landed on the site between the two scans. We cannot separate how much each contributed; a single scan pair cannot tell.
- An llms.txt file for AI systems (19 June, seven days before the second scan): company definition, services, certifications and a citation format.
- Structured data: Organization, Person, BreadcrumbList, ItemList and credential nodes (EducationalOccupationalCredential).
- A deeper home page: services, sectors and process described on one page, roughly 3,500 words.
Limits
- Two engines were measured: Claude and Gemini. ChatGPT, Perplexity and Google AI Overview are not in this pair; their state is unknown, not zero.
- 93 queries per engine is a small sample. That is why the noise margins are wide, and they are printed in the table.
- We do not attribute the Gemini jump to llms.txt. Google states it does not use llms.txt, and Gemini runs on Google infrastructure.
- Share of voice is not compared: the competitor set differed between the two scans, so the denominator changed.
- The platform's overall score rose from 2 to 30. We do not headline it — a composite score can rise while mention rate falls. For visibility we read only the per-engine breakdown.
What we learned
- A single scan pair cannot separate which piece of work contributed how much. Separating it needs a measurement between each piece of work.
- A composite score can mislead. We read visibility per engine, with its noise margin.
- An engine that was not measured is unknown, not zero. Our reports state which engines were measured.
Scan ids: 9fdab931-c645-4447-a323-1f7d6ed630d1 · 93fb91bb-b61f-4745-afc0-a037a6d003fc
Brand name and figures published with the client's permission.
Related service: GEO packages and pricing