Three plans, one clear cap.
Free covers small stores. Standard adds the precise text-embedding-3-large model. Pro pools that precision across your whole portfolio.
Free
€0
For trying it on your own store
- 1 site
- Up to 10,000 embeddings / month
- Model:
text-embedding-3-small - Full 3-tier search (exact → keyword → AI)
- Basic term embeddings (2 taxonomies)
- 30 days of search insights
- Community forum support
Most popular
Standard
€5.90 · save 35%
€3.83 /mo
or €31.85 / year · 7-day free trial
- 1 site
- Up to 25,000 embeddings
- 2,500 embeddings / day
- Model:
text-embedding-3-large— materially more precise, especially multilingual - Full term embeddings on every taxonomy
- Advanced custom fields / ACF indexing
- Smart embeddings — LLM enriches every product with 3-5 alternative customer phrasings. Learn more
- 365 days of search insights + CSV export
- Email support
Pro
€14.90 · early access
€9.68 /mo
For agencies & large catalogs · up to 10 sites
- Up to 10 sites
- Up to 100,000 embeddings pooled across your sites
- 10,000 embeddings / day
- Model:
text-embedding-3-large - Everything in Standard
- Fast Search Cloud — sub-30ms semantic ranking on dedicated Postgres+pgvector infrastructure. Transparent fallback to local pipeline if ever unreachable.
- 365 days of search insights + CSV export
- Priority email support
Reached your cap? Existing search keeps working — only new content stops being indexed until you upgrade or clean up unused embeddings.
Frequently asked
The short version: every plan has a clear cap, and search never breaks.
What happens when I reach my embedding limit?
New content stops being indexed once you hit your cap. Everything you have already indexed keeps working — users still get the full 3-tier search. Upgrade to raise the cap, or clean up unused embeddings from the Tools tab and carry on.
What is an embedding?
One indexed piece of content — a product, post, page, or taxonomy term (category or tag). A 500-product store with 100 categories and tags uses roughly 600 embeddings.
What is the difference between the small and large models?
text-embedding-3-small is fast and efficient; text-embedding-3-large is materially more precise, especially for multilingual stores. Read the full comparison →Can I use my own OpenAI API key?
Yes, on any plan — you pay OpenAI directly for the embeddings. The plan’s other features (insights retention, term embeddings scope, sites, support) still apply.
Do you offer refunds?
Yes — 14-day money-back guarantee, no questions asked.
Will my search break if I downgrade?
No. Indexing pauses if your catalog is above the new cap, but search keeps working on everything already indexed.
Ready when you are.
Install in minutes, keep the search you already have, and let AI fill in the rest. Uninstall anytime – nothing breaks.
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