How we evaluate tools: we are explicit about what we have and have not tested firsthand, build each review from vendor documentation, verified pricing and aggregated public feedback, grade tools against consistent criteria, and mark anything we cannot verify.
How We Evaluate AI Seller Tools
By Frédéric DeltourReviewed by AI E-Commerce Apps Editorial DeskPricing verified on vendor sitesLast updated October 2026
What We Have and Have Not Done Firsthand
We want you to know exactly how much weight to put on our reviews, so we are direct about our process.
What we do
- Study each tool's documentation, feature pages, and public demos.
- Verify pricing and plan structure directly on the provider's site.
- Explore free tiers and trials where they are openly available.
- Read and summarize patterns across public user feedback.
What we do not claim
- We do not claim long-term, paid, live-account testing of every tool.
- We do not present vendor marketing as our own test results.
- We do not invent ratings or user counts for tools we have not independently rated.
- Where a feature is unverified, we label it rather than imply we proved it.
Our Three Evidence Layers
1. Vendor documentation and product review: we describe what each tool is built to do, based on its own documentation and demos.
2. Verified pricing: we confirm plans, credits, and limits on the provider's site and date-stamp them as indicative.
3. Aggregated public user feedback: we surface recurring strengths and complaints from public reviews and community discussion.
Criteria We Grade On
| Criterion | What we look at |
|---|---|
| Core capability | How well the tool does its primary job and who it is built for. |
| Channel coverage | Which marketplaces and storefronts it supports. |
| Value for price | What each plan includes relative to its cost and limits. |
| Ease of adoption | Free tier, trial, setup effort, and learning curve. |
| Transparency | How clear the vendor is about pricing, limits, and data use. |
| Fit and limitations | Who the tool suits and who should choose something else. |
Where we publish an editorial score (for example StoreClaw's 4.2/5), it reflects our overall judgment against these criteria - not a star average from user submissions.
How We Handle Missing or Unverifiable Data
When a vendor does not publish a detail (for example custom pricing), or when a claim cannot be verified from a reliable source, we say so plainly rather than guess. We label indicative figures, point readers to the provider to confirm, and avoid assigning scores or user counts we cannot stand behind.
Where We Are Heading
We are expanding hands-on exploration of free tiers and trials, and adding screenshots and worked examples where we can capture them responsibly. As we deepen firsthand testing of specific tools, we will update the relevant reviews and note it in the byline.
See how this connects to our editorial policy, or read who we are.