The Snoika API is an SEO data API that sends your brand's AI visibility metrics into the tools your team already uses. You can query how often ChatGPT and Google AI Overviews mention your brand and cite your pages, and how they describe you. Connect it to one dashboard first, and the numbers you now copy out of reports by hand will refresh there automatically. We grant API access after a call with our team, where we work out which data you need and where it should land.
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The Snoika API and the Snoika Model Context Protocol (MCP) server pull AI citation data into your own dashboard. Both are live. Your BI dashboards can read the data, and Claude can query it in a chat alongside other AI assistants such as ChatGPT or Cursor.
We measure visibility with weekly prompt sets. A prompt set is a list of questions your buyers type into an AI assistant. We run it every week and record what the answers say about you. The prompts are different for every brand because they come from your category and your buyers. That is why the trend lines in your dashboard follow questions your buyers actually ask.
The weekly cadence is what makes slow change visible. Snoika's founder Anton Vedeshin reported to Startup Reporter 1StopVAT's move from 2.7% to 28.3% ChatGPT visibility in 16 weeks. With a weekly series, you can see when the curve turned; a monthly snapshot would have shown four data points.
The Snoika API gives you visibility data, along with the content tools that act on that data. You'll start with the first and add the second once your reporting is stable.
Content maps are our researched plans of the pages a brand needs in order to answer its buyers' questions. The API opens those maps to your systems and lets them start page creation. Your tools then see the same plan our team works from.
Snoika exposes AI visibility metrics you can query. A standard SEO API reports keyword rankings and backlinks from the Google results page. It has nothing to say about what an AI assistant tells a buyer, even though OpenAI CEO Sam Altman said ChatGPT reached 800 million weekly users in October 2025. Alphabet's Q2 2025 earnings call reported that Google's AI Overviews had over 2 billion monthly users.
| Question you want answered | Standard SEO API | Snoika API |
|---|---|---|
| Is the brand visible in Google? | Yes | Yes |
| Does ChatGPT name the brand? | No | Yes |
| Which pages do AI answers cite? | No | Yes |
| How do AI answers describe us? | No | Yes |
| Who wins share of voice in AI answers? | No | Yes |
To get AI visibility data into your business intelligence (BI) stack, you pull it from the Snoika API into the dashboard where your traffic and revenue data already sit. Once AI mentions sit next to sessions and conversions, the team can see whether a rise in citations brought visits.
That link depends on traffic data. When a client engagement starts, we ask for access to Google Analytics 4 (GA4) and Google Search Console. We also request Google Tag Manager access. That lets us tie AI visibility to the traffic you already measure. Your BI tool then joins AI metrics to figures your finance team trusts.
Our data follows the weekly rhythm of the prompt sets, and each week runs the same prompts as the last. So your charts compare like with like and never show movement that comes only from changed questions.
The Snoika API triggers content workflows from your own systems. A typical flow runs like this:
Your system spots a signal you've defined, such as a drop in share of voice for a group of prompts.
The call starts page creation from the content map, in any of 135+ languages and regional variants.
A human review layer checks every automated output before it reaches you.
Every page waits in your dashboard until you approve it.
It publishes on your own domain through a DNS connection. That works on any CMS and needs no migration.
We create every kind of page, so the trigger can start a blog post. It can just as easily start a comparison page or a product page.
Your data stays yours, because you can download all your content at any time and there's no lock-in. You can export it in six formats:
For developers and data pipelines.
For docs tools and static sites.
For publishing on any web stack.
For spreadsheets and BI imports.
For feeds and enterprise systems.
For editors who review in Word.
The API suits agencies that need Snoika data in their own tools. Data and product teams can use it for the same purpose. Agencies use it to put AI visibility into the client reports they already send. Data teams want the raw weekly series in their warehouse beside every other channel.
Product teams build the data or the content triggers into their own software. A monitoring-only tool leaves each of these groups with a dashboard to check by hand. The API delivers most where someone on your side owns a reporting stack or a workflow it can feed, and the same team that runs our tracking and content reviews every automated step.
The Snoika API sends citation data to your dashboard, including the pages AI assistants link to as sources. The figures come from weekly prompt sets built around your category and your buyers.
The Snoika API exposes AI visibility metrics such as brand mentions, share of voice, sentiment and citations. Standard SEO APIs report rankings and backlinks and say nothing about what AI assistants tell buyers.
You pull Snoika's visibility data into the dashboard that already holds your traffic and revenue data. The data follows the weekly rhythm of our prompt sets, so each week compares the same questions.
Yes. When a rule you define fires, such as a drop in share of voice, your system can start page creation from the content map through the Snoika API.
No. Every draft passes our human review and then waits for your approval in the dashboard. Approved pages go live on your own domain through a DNS connection, with no CMS migration.