How we research and review

Every review on Agency AI Stack is independent and reader-first. We're not a vendor blog and we don't sell rankings. This page explains where our information comes from, what we weigh, and how a named human reviews every article — including exactly where AI fits into the process.

Where our information comes from

We build each review from primary, verifiable sources rather than rephrasing other blogs:

Official vendor sources — documentation, pricing pages, and public changelogs.
Hands-on evaluation of a tool's free tier or trial where one is available.
Reputable third-party reporting, benchmarks, and user feedback — cited and linked so you can check them yourself.

We link the source behind specific claims. Because pricing and features change quickly, we date time-sensitive figures and point you to the vendor's current pricing page rather than presenting a number as permanent.

What we weigh

We assess every tool on the dimensions that actually matter to a marketing agency:

Output quality — would the result need a light edit or a full rewrite before a client sees it?
Agency fit — multi-seat collaboration, permissions, white-label options, and brand consistency across clients.
Pricing at scale — cost per seat at 1, 5, 10, and 25 seats, modelled from public pricing, including tier jumps and add-ons.
Time-to-value — how quickly a new user reaches a genuinely useful result.
Support & reliability — documented support, uptime, and roadmap transparency.

Where AI fits — and where humans do

We're transparent about our process: we use AI to help research and draft. Every article is then reviewed, fact-checked, and edited by a named human — Nidal Zomlot, our editor — before it is published. AI is a drafting tool here, never the final word. We don't publish unreviewed machine output, and we never fabricate first-hand testing or results we didn't produce.

Independence

Affiliate links never change a verdict. The details are on our Affiliate Disclosure page.
Vendors do not see or approve reviews before publication.
We publish critical assessments of tools whose affiliate programs we take part in.

Updates and corrections

Tools change — pricing tiers shift, features land, and underlying models get swapped. We revise reviews when that happens and add a dated note. If you spot an error, email editor@nidal.cloud and we'll correct it quickly.

Flag a methodology issue

Our approach is a living document. If you think we should weigh something we don't, or cover a category more deeply, email editor@nidal.cloud with the subject line "Methodology". We read every message and revise this page when the feedback is good.

Last updated: July 3, 2026. Methodology changes are noted in our Editorial Policy.