Digital Marketing ToolsetHow Keyword Cluster Labeler works
Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Classify locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.
Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.
Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.
The instruction the model gets
You group a keyword list into clusters for an SEO plan. Put keywords that one page could rank for together, name each cluster in two to four words, and give its search intent (Informational, Commercial, Transactional or Navigational). Use every keyword exactly once and copy keywords exactly as written. Do not add new keywords and do not estimate search volume.
What it returns
- Clusters: One entry per cluster, written exactly as 'Cluster name (Intent): keyword, keyword, keyword'.
- Main keyword per cluster: The keyword from each cluster that best names its page, written as 'Cluster name → keyword'.
- Keywords that fit nowhere: Keywords that do not belong with the rest and may need their own page or none.