1. Who writes and edits
Every article on this blog is assigned to one of three editors, each responsible for a defined subject area. Assignment is by topic, not by availability — a LinkedIn strategy piece does not run under the photography editor’s name, and a piece on diffusion models does not run under the careers editor’s name.
- Marcus Reed — Headshot Style & Photography Editor. Wardrobe, posing, lighting, backgrounds, and the craft conventions working portrait photographers use.
- Maya Chen — Career & LinkedIn Editor. LinkedIn profile optimisation, job applications, recruiter behaviour, and résumé/CV photo standards by market.
- Elena Marsh — AI Imaging Editor. How AI portrait generation works, where it fails, output evaluation, and the disclosure and etiquette questions around AI photos.
The named editor on an article is accountable for its accuracy and its framing. Their focus areas are listed on their author pages, and every article links back to the editor who owns it.
2. How an article is produced
We use a consistent, documented pipeline rather than ad-hoc publishing. The steps are the same for every piece:
- Topic selection — we publish against questions people actually ask, not against keywords alone. A topic is dropped if we cannot say something concrete and useful about it.
- Research and drafting — drafting is AI-assisted (see Section 5). Sources are gathered first; the draft is written against them, not the other way round.
- Adversarial fact-check — a second, independent pass exists specifically to attack the draft: every statistic, study, platform specification, price and product claim is re-verified against a primary source, and anything that cannot be verified is cut or rephrased to what is actually supportable.
- Editorial assignment — the piece goes to the editor whose subject area it falls in, and is published under their name.
- Publication and correction — the article carries a visible published and last-updated date, and a source list where external claims are made.
3. Accuracy and sourcing
We do not invent numbers. Where an article cites a statistic, a study, or a platform specification, the source is named and linked so you can check it yourself. Where the honest answer is "it depends" or "there is no reliable data on this", we say that instead of manufacturing a figure.
Platform specifications — image dimensions, file limits, feature availability — change without notice. We re-verify these at the time of writing and stamp each article with a last-updated date so you can judge how stale a spec might be.
4. Independence from the product
SnapSuited sells AI-generated headshots. That is a conflict of interest on any article about headshots, and we manage it with a rule rather than a disclaimer: the product does not lead the page.
- An article opens with the information, never with a pitch. If the guide is not useful to a reader with zero purchase intent, it does not ship.
- Where AI headshots are genuinely relevant to a topic, they appear as one section among many — and the real limitations are stated alongside the strengths.
- We do not claim AI headshots beat a professional photographer in situations where they do not. Where a photographer is the better answer, we say so.
- Commercial messaging is confined to a clearly separated panel at the end of the article and a single inline link.
If you ever find an article on this site where the product claim outruns the evidence, tell us — that is a bug in our process, and we want to know.
5. Use of AI in our content
We are an AI company, and we use AI to help produce this blog. Being vague about that would be inconsistent with everything else we ask readers to trust us on, so: research and first drafts on this blog are AI-assisted, then run through the adversarial fact-check described in Section 2 and published under a named editor who is accountable for the result.
What AI does not do here: it does not decide what is true. Every external claim is checked against a source, and unverifiable claims are removed rather than softened. The full detail of our AI usage — for content and for the product itself — is on our AI disclosure page.
6. Corrections
If we publish something wrong, we fix it in place and move the last-updated date. For substantive corrections — a changed conclusion, a retracted statistic — we note what changed rather than quietly editing it away.
To report an error, email the address below with the article URL and what you believe is incorrect. We would rather be corrected than be confidently wrong in public.
7. Advertising, affiliate links and sponsorship
We do not run display advertising on this blog. We do not accept payment, free products, or any other consideration in exchange for coverage, placement, or a favourable mention. We do not publish sponsored posts or guest posts placed for link-building purposes.
If this ever changes, this section changes first, and any affected article will carry a disclosure at the top.