Best for
Best for Etsy sellers who want to see what a product or shop earns before deciding what to make next.
E-commerce Seller Tools Comparison
EverBee vs. What Sells Next
At a glance
At a glance
Best for
Best for Etsy sellers who make their own products and want to test an idea against the market before making it.
- Freelancers
Cataleo does not name a winner. Both statements come from the vendors themselves.
Full Comparison
| Criterion | EverBee | What Sells Next |
|---|---|---|
| Starting price | Free Growth is $24.99 per month billed annually at $299; Business is billed annually at $828. | Free Premium is £12 per month, tax included, cancel anytime. |
| Free trial | No trial; a free Hobby plan instead | No trial; an ongoing free plan instead |
| API | Yes, a REST Research API and an MCP server, paid per record from API credits | Not stated |
| Hosting | Cloud: a web app and a Chrome extension | Cloud: a web app and a Chrome extension |
| Made in | Not stated | United Kingdom |
| Product research | Product Analytics with estimated sales, revenue, conversion rate and growth rate for Etsy listings, trend filters, and niche ideas and product idea checks through the API | Product discovery, Opportunity Radar and the Crossover Lab, which combines a product with a theme. Idea checks show comparable Etsy listings, asking prices and buyer signals, with an idea board and build guides for planning the make. |
| Marketplace keyword research | Keyword research with search volume, competition and a Keyword Score, plus a Tag Analyzer | Keyword research and Keyword Smash |
| Listing optimisation | Not stated | Listing audit, AI listing drafts with editable titles, descriptions and 13 tags, AI copy reviews of connected listings, saved listing drafts, concept visuals and listing videos from product photos |
| Competitor tracking | Shop Analyzer with sales and revenue for any Etsy shop, and the tags on a competitor's listing | Competition watch with estimated sales and revenue, search visibility for connected shops, and a weekly market briefing |
| Fee and profit calculation | A free Etsy Fee Calculator for fees and profit on a sale | Fee and profit calculator |
| Marketplaces covered | Etsy | Etsy |
| Integrations and API | REST Research API and an MCP server for Claude, both paid per record from API credits, a Chrome extension and store connections (3 on Growth, unlimited on Business) | An optional read-only Etsy shop connection, with changes copied into Etsy by hand, and a Chrome extension |
| AI features | No | stated Yes |
| MCP-ready | stated Yes | No |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Email helpdesk, Chat | Not stated |
| Onboarding | Documentation and knowledge base, Live online demos and webinars | Not stated |
| Company size | Not stated | Freelancers |
| Integrations | more entries Etsy, Chrome extension, Claude | Etsy, Chrome extension |
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Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Key Differences
- Free trial EverBee No trial; a free Hobby plan instead What Sells Next No trial; an ongoing free plan instead
- AI features EverBee No What Sells Next Yes
- MCP-ready EverBee Yes What Sells Next No
- Product research EverBee Product Analytics with estimated sales, revenue, conversion rate and growth rate for Etsy listings, trend filters, and niche ideas and product idea checks through the API What Sells Next Product discovery, Opportunity Radar and the Crossover Lab, which combines a product with a theme. Idea checks show comparable Etsy listings, asking prices and buyer signals, with an idea board and build guides for planning the make.
- Marketplace keyword research EverBee Keyword research with search volume, competition and a Keyword Score, plus a Tag Analyzer What Sells Next Keyword research and Keyword Smash
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Strengths and Limitations
EverBee
Strengths
- Free Hobby plan with no credit card required
- Etsy data can be queried from Claude through an official MCP server
- API calls are charged per returned record, and an empty search costs nothing
- Free Etsy fee calculator without sign-up
Limitations
- Hobby plan is limited to 10 keyword searches
- Sales and revenue figures for other shops are estimates
- Etsy is the only marketplace named
- The pricing page shows paid plans billed annually
What Sells Next
Strengths
- Free plan with daily keyword lookups and idea checks, no card needed
- Idea checks show comparable Etsy listings, asking prices and buyer signals
- Fee and profit calculator and build guides sit next to the research
- The Etsy shop connection is optional and read-only
Limitations
- The site names Etsy as the only marketplace
- Listing changes have to be copied into Etsy by hand
- Competitor sales and revenue are estimates
- The site does not state the company or country behind the tool
Plans
Pricing
EverBee
- Hobby $0 10 keyword searches, 5 saved keywords and 5 saved shops. No credit card required.
- Growth $24.99 / month Billed annually at $299. Unlimited keyword research, 100 AI Actions a month, 3 store connections and MCP access.
- Business $69 / month Billed annually at $828. Unlimited AI Actions and store connections, and MCP access.
What Sells Next
- Free £0 5 keyword lookups per day, 3 starter crossovers and 5 idea checks per rolling 24 hours. No card needed.
- Premium £12 Per month, tax included, cancel anytime. Introductory offer: the first month is £5.
What users say
Review Scores · opens after launch
EverBee
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
What Sells Next
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
How we check reviews
Before sending, the author has to confirm three things: that they have used the product themselves, that they work neither for the vendor nor for a competitor, and that nobody is paying them for the review. We also ask whether the vendor invited them to write it. That answer is required, either answer is accepted, and it stays with the review.
Every review is read by a person before it appears. An email address is required and is confirmed: we send a link to it, and a review does not reach us until the author opens that link, so a review has a sender who was reachable at least once rather than being anonymous. Where what somebody writes needs backing, we ask them for evidence that they used the product, and a review that does not get it is not published. We publish positive and negative reviews alike, we pay nothing and offer nothing for a review, and we accept none that was bought or incentivised.
What we cannot do is verify a purchase. There is no shop here and no account, so whether the author really used the tool rests on their own declaration, on whatever we ask them for, and on the plausibility of what they write. We say so rather than implying a check that does not exist.
A vendor cannot buy a review, and cannot have one removed or changed because they dislike it. We remove or edit a review only if it breaks our rules or the law, for example a false statement of fact. Paid placement has no effect on which reviews appear or on any score.
Where this comes from
Where this comes from
EverBee https://everbee.io/ · checked against the official source on 2026-11-10
What Sells Next https://whatsellsnext.com/ · checked against the official source on 2026-11-10
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.