How we evaluate
The full rubric, testing standards, and production process behind everything we publish. If a score can't be explained by this page, we broke our own rules.
The evaluation rubric
Every tool review scores these seven criteria, 1–5, weighted as shown.
Does the tool produce work a professional would ship? Judged on real marketing tasks, not demos.
Time from signup to first useful result. Onboarding, learning curve, and how much expertise it assumes.
Integrations, API access, export options — does it slot into a real stack or demand you live inside it?
Value at each tier for the team size it targets. Penalties for opaque pricing and surprise usage costs.
Consistency of output over repeated use, uptime experience, and generation/processing speed.
Brand safety features, permissions, audit trails, and guardrails — what enterprises need before saying yes.
Documentation quality, community, and support responsiveness on the tiers most readers would buy.
Testing standards
Minimum one week of hands-on use on real marketing tasks before any review. We state which plan or tier we used, which tasks we ran, and when. Pricing is always captured with a date.
1 = actively harmful to adopt · 2 = below the free alternatives · 3 = does the job with caveats · 4 = genuinely good, recommendable · 5 = best-in-category, sets the bar. Overall scores are the weighted average of the seven criteria.
Every tool page is revisited quarterly. If facts changed, we update the page, bump the visible "Last updated" date, and log the change in the update history block. If nothing changed, we do not fake freshness.
No review publishes without a documented "where it falls short" section. A review with no weaknesses is an ad, and we do not run ads.
How content gets made
We use AI tools in research and drafting — this is a site about doing exactly that well. Drafts are grounded in verified sources, never model memory.
Every piece is reviewed, fact-checked, and edited by the team before publishing. Unverifiable claims are labeled directional or cut.
Content ships with structured metadata — dates, topics, difficulty, audience — validated at build time and exposed to readers and machines alike.
Visible publish and updated dates on everything, update-history blocks on pages that change, quarterly re-verification on anything with decaying facts.
The commitments behind this process — independence, corrections, AI usage, and future monetization — are in our editorial policy.