Topic cluster tool for SEO planning
Snoika's topic cluster tool takes the questions buyers ask Google and AI assistants and groups them into article topics with working titles. Your team then publishes pages that can rank and get cited, in place of a loose list of ideas. The usual first step is a free AI visibility report, which shows where your brand appears today and which clusters are missing.
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Generate clusters from AI demand
Snoika builds topic clusters from AI search demand. It starts with the prompts people type into ChatGPT and Google AI Overviews and checks those against keyword data from Google. That matters because prompts are longer and more conversational than keywords, so a category with little keyword volume can still get steady prompt traffic.
The generator also uses customer questions and reviews, which show the words buyers actually use. Every cluster lists the prompts behind it, so you can see that it comes from real demand and not from guesswork.
What topic clusters do
A topic cluster is a pillar page on a broad subject plus a set of supporting articles. Each supporting article answers one narrower question, and every page links back to the pillar.
Those links help crawlers find each page and see how the pages relate. They also show that your site covers the subject in depth. A reader who lands on any page in the cluster can find the next answer without going back to the search results.
How cluster gaps hurt rankings
A missing supporting page leaves a question your pillar can't answer, and search engines and AI assistants pass that question to a competitor who did. We find those gaps in three steps:
List the subtopics
We map the subtopics in each cluster.
Check competitor coverage
We check each subtopic against the queries and prompts where your competitors appear and you don't.
Find broken structure
We flag pages that rank for no queries and pages that have no internal links pointing to them.
Prioritising by AI citation potential
To get AI assistants to cite your brand, we start with the clusters where buyers ask the most prompts and your brand is missing from the answers. A high Google ranking alone won't secure a citation. In a study of 863,000 keywords, 37.1% of AI Overview-cited URLs ranked in the organic top 10, and 36.7% didn't rank in the top 100 at all. We use the 3 tests below to choose which clusters to publish first.
Prompts citing competitors
If AI answers already cite a competitor for a prompt, the demand is real and the gap is visible. We start with these prompts, compare your page with the cited one and find the passage your page lacks.
Questions with first-hand detail
AI assistants quote passages that answer the question cleanly and with specifics. Your own product data and customer cases give us material that generic pages can't copy.
Clusters close to a buying decision
Comparison and pricing prompts lead to sales sooner than definition prompts do. Snoika's founder Anton Vedeshin reported to Startup Reporter 1StopVAT's move from 2.7% to 28.3% ChatGPT visibility in 16 weeks.
Clusters into a content plan
Snoika turns clusters into a full content map for your site. For every page, the map lists:
Keywords and prompts
The searches and AI questions the page targets.
Outline
The structure the page follows.
Internal links
The links that tie the page to its pillar and the rest of the cluster.
Keyword groups alone don't make a content marketing strategy, because someone still has to plan, write and publish. We do all three in the same place we track AI visibility, so the SEO content writing never drifts from the prompts you're measured on.
Teams that want to hand off the whole SEO content marketing job get pages planned, written and published on their own domain, with weekly citation tracking on top. Plans are on the pricing page.
Built-in working title generator
The working title generator turns each topic into a clear heading that's easy to prioritize and brief. Each title uses the buyer's own wording from the prompt, so the writer knows which question the page answers.
We write one title for each search intent. If 2 titles target the same question, we merge them, because 2 pages on one question compete with each other. Titles are available in 135+ languages and regional variants, so a cluster planned for Germany can use the phrasing German buyers actually search with.
Integrating with your existing workflow
The topic generator fits into the tools your team already uses. Onboarding runs in four steps:
Brief
We learn your category, your buyers and your goals.
Access
We ask for access to Google Analytics 4 (GA4), Google Search Console and Google Tag Manager (GTM), plus your content management system (CMS) if pages will be published.
Publishing
The pages we create go live on your own domain through a DNS connection, on any CMS and with no migration.
Approval
Human reviewers check every page, and it waits in the dashboard until you approve it.
Measuring cluster coverage over time
Cluster coverage is the share of a cluster's prompts and queries where your brand appears, measured every week. Snoika runs weekly prompt sets in ChatGPT and Google AI Overviews and records mentions, share of voice, sentiment and citations. We report each cluster separately, because a site-wide total can rise while one cluster loses ground.
On the organic side, we compare sessions year over year. Agrello, an e-signature company, saw +125.6% organic search sessions YoY and generated 51.8K impressions from Snoika-created pages.
FAQ
Snoika's topic cluster tool combines prompts from ChatGPT and Google AI Overviews with Google keyword data. Every cluster lists the prompts behind it, so you can judge whether the topics reflect real buyer questions.
We prioritise clusters with frequent buyer prompts where competitors are cited and your brand is absent. We favour questions you can answer with first-hand evidence, especially comparison questions close to a buying decision. High Google rankings alone won't secure citations.
Snoika turns keyword groups into a content map with keywords, prompts, an outline and internal links for every page. We then write and publish the pages on your own domain and track AI citations every week.
We compare each cluster's subtopics with the queries and prompts where competitors appear but your brand doesn't. Then we flag unanswered questions and check existing pages for missing internal links. Coverage is reviewed by cluster each week, because site-wide growth can hide individual gaps.