When someone asks ChatGPT about
your category, you get pages written
so the assistant can quote them
in its answer
The same applies to Gemini and Claude.
You also get the tracking needed to show whether the work achieved its intended result.
Snoika is a marketing agency that produces seo content for AI search.
Its content generation is built around how large language models retrieve sources.
Topic clusters expand individual keywords into category-wide coverage.
Snoika measures brand mentions and sentiment inside AI answers before and after publishing, so the work is judged on whether models name you.
Why your rankings stopped paying
You publish a page that ranks, but the traffic doesn't arrive. In the first four months of 2026, SparkToro's clickstream analysis put 68.01% of Google searches at ending without a click. Your impressions climb while your sessions sit flat, and nothing in your reporting explains the gap.
Meanwhile the buyer who used to find you through a search now asks an assistant which vendors to shortlist. That answer is assembled from a handful of retrieved pages. Ahrefs found ChatGPT cites around 50% of retrieved URLs after screening their titles and URLs. Snippets are part of that screening as well. Being indexed gets you into the pool without securing a place in the answer.
The usual response is to write more. That means more posts of greater length, with the same keyword-per-page structure that worked when ten blue links decided the outcome. None of it tells you which prompts your buyers actually type or which competitors get named instead of you. The sources the model used to build the answer remain unknown.
How our seo content works
We start from the prompts, then write the pages that answer them. Snoika analyses the questions your buyers put to ChatGPT. It repeats the analysis for Gemini and Claude, then records which brands and sources come back. Those results become the brief. The seo content that follows is shaped to be extracted, with the answer at the top of each section. Claims carry figures, while structured data makes the entity behind the page unambiguous.
Coverage is the second half of the job. Models rely on coverage across multiple pages when naming brands, so our content generation builds topic clusters that hold a whole subject area. Those clusters cover the comparison questions as well as the objection questions your sales calls already surface. Each cluster is mapped against the sources the models currently trust in your category, which tells us where your digital footprint has a hole in it.
Prompt-level tracking
Your share of AI answers and the attached sentiment, both measured per prompt.
Competitor readouts
Which rivals get named beside you, and what the models are pulling to say it.
Cluster planning
Topic clusters scoped from real prompt data, then written and published by our team.
This complements your existing SEO programme. The same content generation feeds classic organic search because pages that get cited by an assistant are the pages that rank.
What the results look like
Real outcomes from Snoika's seo content for AI search, across industries.
1StopVAT
10x
ChatGPT visibility in 7 weeks
Vespia
220%
Increase in AI brand mentions
Agrello
125.6%
Increase in organic search sessions YoY (51,800 impressions from Snoika pages)
3DPrinterOS
3–4/day
Qualified inbound leads, #1 in ChatGPT for industry queries
ABS Technologies
6x
SERP impressions in first 30 days
1StopVAT, in tax and fintech, saw 10x growth in ChatGPT visibility in 7 weeks. Vespia, a fintech SaaS, recorded a 220% increase in AI brand mentions. Agrello, in e-signature, took a 125.6% increase in organic search sessions year on year, with 51,800 impressions coming from Snoika-created pages. 3DPrinterOS now holds first position in ChatGPT for industry-specific queries and takes 3 to 4 qualified inbound leads per day, while ABS Technologies reached 6x SERP impressions inside the first 30 days.
Snoika researches the prompts your buyers use and writes the seo content that answers them.
It then publishes the content and reports on how your visibility inside AI answers moves.
If you want to know which prompts your category is being decided on and where you currently stand in them, ask us for a visibility readout on your brand.
Frequently Asked Questions
Yes. Snoika starts from the prompts your own buyers type, which means the process follows your category rather than a fixed industry list. 3DPrinterOS used the same path from prompts to clusters in a different industry. The fit test is that people in your market already ask an assistant which vendors to shortlist.
See where your brand stands in AI answers
Start free, or book a call to get a visibility readout on your brand.