Editorial Standards

Purpose

DialerGPT publishes content for revenue leaders evaluating sales training, coaching, roleplay, and rep-ramp tooling. This page describes how that content is researched, written, reviewed, and kept up to date, and how we handle commercial relationships without letting them shape our recommendations.

How we evaluate tools

When we recommend a third-party product on a landing page or guide, we evaluate it against four criteria:

• Workflow fit. Does the product actually solve the job-to-be-done the page is written for? An “AI sales coach” that scores role-played calls is not a substitute for a dialer.
• Scoring and reporting transparency. If the product generates metrics managers act on (call scores, rubrics, completion rates), can a manager understand how a score was produced and where it might be wrong?
• Pricing transparency. Buyers should be able to estimate cost before talking to sales. Products with published pricing or self-serve trials get preference.
• Practitioner reputation. What enablement leaders, SDR managers, and AEs who actually use the product say in public reviews and private conversations matters more to us than vendor-supplied logos.

No pay-to-play

We do not accept payment for placement, ranking position, or editorial coverage. Vendors cannot buy their way onto a landing page or into a buyer guide. Higher commission rates from an affiliate program do not move a product up our list. If we ever change a recommendation because of a commercial relationship, we'll mark that change clearly on the affected page.

Some of the products we recommend pay us referral commissions when readers click through and sign up. Those relationships are disclosed on every page that contains affiliate links and in full on our Affiliate Disclosure.

Authors and review

Long-form articles and buyer guides carry a byline. Author bios appear on each article and on the central authors directory, with relevant background that supports their authority on the topic. Landing pages that compare or recommend products are reviewed before publication by an editor who did not write the page, to catch fit problems and unsupported claims.

Update cadence

The sales-tooling category moves quickly. We aim to revisit buyer guides as the team has capacity, and to refresh landing pages whenever a listed product materially changes pricing, positioning, or workflow in a way that affects the recommendation. Every page shows a “Last updated” date in metadata; substantive rewrites trigger a fresh date.

Corrections

If we publish something inaccurate, we correct it visibly on the affected page rather than silently editing the text. Material corrections are timestamped so readers can see what changed and when.

If you spot an error, a stale claim, or a recommendation that feels off, email team@dialergpt.com. We treat reader corrections as bug reports and aim to fix them promptly.

AI-assisted content

Some research and drafting on this site is AI-assisted. Every piece of content is reviewed and edited by a human before publication. We do not publish AI output unsupervised, and we do not pass off AI-generated quotes or statistics as facts without independent verification.