Trust and transparency

How BetterBuys ranks AI solutions

BetterBuys has operated since 1996 as an independent business technology research brand. Today we help business buyers find and evaluate AI software and services, and the same rule applies now that applied then: vendors cannot pay to rank higher.

This page explains exactly how products are ordered on BetterBuys, what the scores are based on, how sponsorship works, and how to get an error fixed. If anything here is unclear, write to contact@betterbuys.com and we will improve it.

The ranking formula

Every product in a category is scored on seven factors. Each factor is weighted, and the weighted scores combine into a single ranking score that sets the organic order you see on category pages. The same formula applies to every product, sponsored or not.

Category fit 35%
How squarely the product belongs in the category you are browsing. A tool built for the job ranks above one that handles it as a side feature.
Use-case fit 20%
How well the product supports the specific tasks buyers in the category are trying to get done, based on its documented capabilities.
Buyer and industry fit 15%
Whether the product actually serves the buyer roles, company sizes, and industries that typically shop in the category.
Integration fit 10%
How well the product connects to the systems most buyers already run, such as CRMs, data warehouses, and identity providers.
Evidence quality 10%
How well the vendor supports its claims with documentation, case studies, and other material we can check. Vague marketing language scores low.
Pricing transparency 5%
Whether pricing is published and understandable. Products that require a sales call just to learn the price score lower here.
Freshness 5%
How recently we verified the profile. Information that has not been re-checked in a long time loses points until it is.

The weights add up to 100 percent. Category fit carries the most weight on purpose: a product that is genuinely built for the job you are hiring it for matters more than any other signal.

What the scores are based on

Scores draw on three kinds of source material. Every input is reviewed by a human editor before it changes a score.

  • Public documentation

    Product docs, changelogs, pricing pages, security pages, and release notes published by the vendor.

  • Vendor materials

    Submitted profiles, briefings, and corrections that vendors send when they claim a listing.

  • Product capabilities

    What the product demonstrably does: features, integrations, and supported workflows we can confirm from the record.

We are honest about the limits of this approach. We do not run paid lab benchmarks, and we do not hands-on test every product in every category. When a claim cannot be verified from the record, it scores lower on evidence quality rather than getting the benefit of the doubt.

Every product page shows a last-verified date so you can judge how current the profile is. When a profile is updated or corrected, that date resets.

AI-assisted research, human judgment

We use AI tooling to draft product profiles from source material. It is how a small editorial team keeps up with a market where hundreds of products ship meaningful changes every month.

No AI draft publishes on its own. Every page carries a review status, and a human editor must check the draft against its sources and approve it before the profile is marked as reviewed. The editor is the gate: if the sources do not support a claim, the claim comes out.

The combination of a last-verified date and a review status on each product page tells you exactly where any profile sits in that process.

Corrections

We would rather fix an error than defend one. There are two ways to flag a problem, depending on who you are.

  • Vendors

    If your product is listed and something is wrong or out of date, claim your listing to verify ownership and request corrections. Verified corrections update the profile and reset its last-verified date.

  • Readers

    If you spot an error anywhere on BetterBuys, email contact@betterbuys.com. Include the page URL and what looks wrong, and an editor will review it.

Ready to put the rankings to work? Explore AI Categories or Get AI Recommendations.