Section 1
Buyers read about pages like background checks
Nielsen Norman Group's research on company information found that while nearly every site has an about section, most do a poor job of communicating the basics, and that users treat the page as one input among several, comparing it against reviews, press, and rankings to form a complete picture before doing business. That reframes the job. The about page is not a stage for self-expression; it is the firm's testimony in a credibility check the buyer is already running. The implications are practical. Lead with a plain-language summary of what the firm actually does, because NN/g found exactly that summary is what users want first and rarely get. State verifiable facts, founding year, location, team size, notable work, because those can be cross-checked, and checkable claims build more trust than impressive ones. Save the philosophy for after the facts have done their work. If you are turning this into practice, [Case Study: How Category-Leading Brands Built a Movement with Storytelling](/blog/case-study-how-built-a-movement-with-storytelling) maps the adjacent system.
Section 2
What belongs on the page, element by element
The table below breaks the about page into its load-bearing elements, with a public example of each done well and the weak version that usually appears instead. Two patterns deserve a note. Basecamp's company pages work because they are genuinely opinionated, decades of public positions about calm work and sustainable software, written like the founders talk. That is not decoration; a real point of view is unfakeable, and unfakeable signals carry trust. McKinsey's about section works for the opposite reason: it is almost aggressively factual, history, scale, locations, governance, because at that scale, verifiability is the brand. A small firm can use both moves at once: facts that check out, plus convictions that could only belong to you.
Section 3
Credibility is design plus disclosure
Two research streams explain why about pages succeed or fail before a word is read. Stanford's Web Credibility Project (2003) found 46.1% of consumers assessed a site's credibility partly from overall visual design, so an about page with stretched team photos and 2019 copyright dates is testifying against you. And Jakob Nielsen's four credibility factors, stable since 1999, read like an about-page specification: design quality, up-front disclosure, comprehensive current content, and connection to the rest of the web. Disclosure is the one service firms resist most. A real street address, real names with faces, clear explanation of how engagements work, each feels minor, but NN/g's research treats their absence as a trust leak. Connection to the wider web is the other quiet differentiator: linking out to press coverage, professional registries, and even partners signals you exist beyond your own claims. Isolated sites read as hiding something. To see how this connects to the wider system, read [How to Express Your Positioning Through Web Design (Without Saying a Word)](/blog/expressing-positioning-through-web-design).
Section 4
The Basecamp lesson: conviction is memorable
Of every about page pattern, the hardest to imitate and the most valuable is Basecamp's: saying something you actually believe, at the risk of repelling some readers. Their public positions on calm work and bloated software have cost them some customers and won them devoted ones, which is precisely the function of positioning. Most service-firm about pages are optimized to offend no one, and so persuade no one. A genuine why does double duty: it differentiates, and it pre-frames every future disagreement about how you work. This is why ConvertOS treats the about page as a messaging asset inside LeverageOS rather than an afterthought, it is where founder conviction, verifiable facts, and third-party proof get assembled into a page that closes the background check. If your current about page could be swapped onto a competitor's site without anyone noticing, that is the clearest sign it is not yet doing its job. For the step that usually comes next, see [Common Myths About AI Automation Debunked](/blog/common-myths-about-ai-automation-debunked).