Editorial Standards

Who writes this

Founder Henry Yos and a small editorial team. Every post on the site has a named human author with a verifiable LinkedIn / prior byline trail. We don't publish under generic "Slide Gamma Team" bylines because pseudonymous SaaS content is exactly the failure mode Google's Helpful Content classifier targets.

Guest contributors go through the same standard: real name, real prior work, real expertise on the topic. We pay guest writers and disclose payment when applicable.

How we cover competitors

Comparison posts (/compare/slidegmm-vs-…) follow these commitments:

• Disclose the conflict. Every comparison post opens with a line stating that we make one of the products being compared. No buried disclosures.
• Test on a real account. We don't infer features from a competitor's marketing page. If we haven't logged in and tested, we don't claim it.
• Name where the competitor wins. Every comparison includes a "When to choose [competitor] instead" section with at least one concrete use case. If we can't find one, we don't publish the comparison.
• Verify pricing quarterly. The dateModified field at the top of each comparison shows when it was last verified. Pricing or feature changes from a competitor trigger an immediate update.
• No paid placements. We don't accept money for ranking, exclusion, or favorable mention. We do affiliate with some products we genuinely use (disclosed inline).

How we make claims

Statistical claims need a primary source — either an external research dataset (cited inline) or our own published research with methodology + raw data. "Most pitch decks fail" without a source isn't something we'll publish.

See the research methodology page for how we collect, analyze, and verify our own data.

AI-generated content

We use AI tools to draft outlines and translate posts across our 10 supported locales. Every published post is reviewed and edited by a human author who takes responsibility for the claims and tone. We don't publish unedited LLM output.

Translations: AI machine translation followed by light editorial review for non-flagship languages. For Turkish (our second primary language) and English, we produce content natively.

Updates and corrections

When we get something wrong, we add an entry to /about/corrections with the date, the error, the fix, and a link from the affected post. We don't silently rewrite history — original numbers stay visible (struck through) so the audit trail is preserved.

Spotted something wrong? Email editorial@slidegmm.ai. We respond within a week.

What we won't do

• Synthetic / AI-generated author bylines. Real humans only.
• Fabricated testimonials. Customer quotes are verifiable (LinkedIn URL or public review) or we don't use them.
• Inflated metrics. Stats on the site (decks generated, users) come from verified counts with a "last verified" date and methodology link.
• Deceptive comparison framing. If a competitor wins a category, we say so — even when it costs us.
• Hidden paid relationships. Affiliate, sponsorship, and partner ties are disclosed inline at the relevant claim.