FreySoft case study: from 0 to 15 of 30 fintech buying topics in AI answers
FreySoft, a software engineering company with a track record in fintech, worked with CitedLift on AI visibility from May to September 2026. At the start, FreySoft was present in none of the 30 fintech and payment buying topics we tracked. By the September 2026 measurement, it was present in 15 of 30.
| At a glance | |
|---|---|
| Client | FreySoft, software engineering company |
| Focus | Fintech and payment-related buying questions |
| Engagement | May-September 2026 |
| Tracked topics | 30 fintech and payment buying topics |
| Responses analysed | 240 AI-generated responses |
| Result | Present in 15 of 30 topics, up from 0 of 30 |
| Negative mentions | 0 recorded |
The starting point
FreySoft had already chosen its niche and built a track record in fintech. What it lacked was AI visibility: at the start of the engagement in May 2026, it was present in 0 of the 30 buying topics we tracked.
The topics covered questions a company asks when it looks for a development partner, for example:
- payment integration partners;
- cross-border payment development;
- payment infrastructure engineering;
- SEPA and SWIFT-related development;
- technology partners for regulated fintech companies.
How the work ran
The engagement followed the path FreySoft's CEO describes below, in three steps:
- Measure. We recorded how AI engines represented FreySoft's existing expertise across the 30 topics: whether it was named and how it was described.
- Sharpen. We worked on how FreySoft communicated that expertise.
- Build presence. We improved FreySoft's presence systematically and re-measured on the same 30 topics.
Results
- FreySoft was present in 15 of 30 tracked fintech and payment buying topics by the September 2026 measurement, up from 0 of 30 at the start.
- 0 negative mentions recorded.
How AI answers presented FreySoft in the September 2026 measurement
| Measure | Result | Base |
|---|---|---|
| Overall mention rate: share of responses that mention FreySoft | 14% | 240 responses |
| Top-three appearance rate: share of responses where FreySoft is among the first three companies named | 9% | 240 responses |
| Position #1 appearance rate: share of responses where FreySoft is named first | 8% | 240 responses |
| Explicit recommendation rate: share of responses that explicitly recommend FreySoft | 6% | 240 responses |
Base and method: 30 tracked buying topics; 240 AI-generated responses analysed in the September 2026 measurement. Engagement May-September 2026; baseline at the start in May 2026, final measurement in September 2026. Measured with our in-house tooling, Retrievable.io (in active development).
What these numbers show, and what they don't
They show presence on a fixed set of 30 buying topics, measured the same way at the start and at the end. They don't show leads or revenue, and they are not a forecast for another company. AI answers change between runs and over time, and no agency controls what AI engines cite or recommend. That is why we don't guarantee outcomes: we commit to measurement, execution and transparency about what changed.
In the client's words
"We had already narrowed FreySoft down to our niche and built a track record in fintech. What we were missing was AI visibility. Oleksii helped us understand how our existing expertise was being represented in AI-generated answers, sharpen the way we communicated that expertise and systematically improve our presence. During the pilot, FreySoft started appearing in AI-generated answers around fintech and payment-related buying questions where previously we weren't visible."
Oleg Panchenko, CEO, FreySoft
Is your company in the same position?
If you have a clear niche and a real track record, but AI engines don't name you when buyers research your category, start with the Free AI Visibility Check: 10 buyer prompts, results in 48 hours, free. The full GEO audit with a measured baseline and a roadmap is Foundation. How we run AI visibility work: AI Visibility.