AI tracking for startups
You find out which prompts already name your competitor instead of you, and what it would take to change that answer.
Snoika provides AI tracking for startups.
It measures how often a brand appears in ChatGPT and Gemini, and it covers Claude as another generative engine. It also optimises the sources those models pull from.
The platform analyses user prompts and AI responses to report share of voice and sentiment. It reports competitor position from the same analysis.
1StopVAT, a tax and fintech company, recorded 10x growth in ChatGPT visibility in 7 weeks.
Why your content stopped converting
You publish and the post ranks somewhere. The demo requests don't move. The buyer never reached your page because they asked ChatGPT which vendor handles their use case and took the two or three names it gave them. Nearly half of ChatGPT messages come from people asking for guidance or information at exactly the moment a model decides which companies to name.
Early-stage companies get hit hardest here. A model's answer leans on whatever it already associates with a category. Incumbents have a decade of reviews and directory listings. Their press coverage reinforces those associations, so they get named by default while a two-year-old company with better product gets left out of the shortlist entirely. There is no ranking report to check and no position to celebrate, because the model either says your name or it doesn't.
The usual response is to write more, which is the wrong lever. Rankings and sessions tell you nothing about whether a model recommends you, and by the time you notice the gap in pipeline, a competitor has spent two quarters becoming the answer.
What AI tracking changes
AI tracking gives you a named list of the prompts your buyers actually type and shows where you sit in the answer for each one. Snoika runs those prompts across ChatGPT and Gemini. It also runs them across Claude, then reads the responses. The resulting share of voice and sentiment can go in a board deck. Startup AI search behaviour is measurable in the same way keyword data used to be.
The second half is acting on it. Snoika identifies the sources these models trust when they answer questions in your category, then works on structured data and digital footprint so your positioning lands inside those sources. That is how brand visibility inside a model gets built: through the material it reads.
Prompt-level position. Where you rank inside AI answers for the queries buyers use, engine by engine.
Competitor share. Which rivals get named ahead of you and the strengths the model repeats about them.
Source mapping. The publications and reference points those answers draw from, so effort goes where it changes the output.
Proof from AI tracking work
1StopVAT
10x
ChatGPT visibility in 7 weeks
Vespia
220%
increase in AI brand mentions
3DPrinterOS
#1
first position in ChatGPT for industry-specific queries, 3–4 qualified inbound leads per day
3DOS
2x
doubled registered users
ABS Technologies
6x
SERP impressions within first 30 days
Agrello
125.6%
increase in organic search sessions YoY (51,800 impressions from Snoika-created pages)
1StopVAT, a tax and fintech company, saw 10x growth in ChatGPT visibility in 7 weeks. Vespia, a fintech SaaS company, recorded a 220% increase in AI brand mentions. 3DPrinterOS, a 3D printing SaaS company, holds first position in ChatGPT for industry-specific queries and gets 3 to 4 qualified inbound leads per day from it. 3DOS, a 3D printing network, doubled registered users.
The pattern holds outside pure AI tracking too. ABS Technologies, an IT services company, saw 6x SERP impressions within the first 30 days, and Agrello, an e-signature company, recorded a 125.6% increase in organic search sessions year on year plus 51,800 impressions from Snoika-created pages. Snoika measures your position in startup AI search results, then works on the sources behind those answers to improve brand visibility where buyers are making the shortlist. Send us the five prompts you think your buyers ask and we'll show you who the models name today.
Frequently Asked Questions
Yes. You don't need a decade of reviews or directory listings before you start. Snoika measures where you sit in ChatGPT against the incumbents the model already names, then builds the material those engines read. You reach the shortlist because the model pulls from those sources when a buyer asks which vendor to use.
Snoika measures your position in startup AI search results,
then works on the sources behind those answers to
improve brand visibility where buyers are making the shortlist
Send us the five prompts you think your buyers ask and we'll show you who
the models name today