Summary: When a buyer asks an AI assistant which tool to use, the assistant usually pulls from documentation, changelogs, and issue threads — not from your landing page. That's not a quirk. It's a structural consequence of what those pages contain. If you're a technical founder, your docs are now doing most of your selling, and you probably haven't noticed. Marketing vs Documentation Comparison Marketing site Documentation Answers "What we are" "How to do X" Specificity Deliberately vague Necessarily exact Named systems, versions, limits Rare Everywhere Updated Quarterly, at best On every release Failure cases described Never Often Useful to someone answering a question Barely Directly An assistant answering a buyer's question needs text that contains the answer. Your homepage doesn't contain answers. Your docs do. Why This Happens A buyer doesn't ask "what is the best observability platform." They ask something like: does this work with OpenTelemetry if we're already on a self-hosted Prometheus setup, and what does it cost at fifty gigabytes a day? Now, look at where that answer lives in your own product. Not on the homepage. It's in an integration page, a pricing note, a limits table, or a closed GitHub issue where somebody asked exactly that.Three properties make documentation get used: It names things. Versions, protocols, competing tools, hard limits. Specific text is what matches a specific question. It's structured. Headings that are questions, tables of parameters, numbered procedures. Extractable in a way prose isn't. It's honest about limits. "Not supported on Windows" is enormously useful to something trying to answer a fit question, and it's the sort of sentence marketing pages remove. "When an LLM answers a question about your industry, it isn't pulling random facts out of thin air. In fact, industry data shows that 80-90% of LLM responses rely on earned media rather than a company's owned content. If your brand isn't being cited, you're invisible to a growing segment of your audience." - Signal AI The five documentation pages that do the most selling. Ranked by how often they turn up in the buyer questions we hear. Page What it must contain Common mistake Integrations Every named system, with the actual setup steps and what breaks A logo grid with no text Limits and quotas Real numbers: rate limits, sizes, concurrency, what happens at the ceiling Hidden or "contact us" Pricing mechanics How billing is calculated, what's metered, what's not A page of three tiers and no formula Migration guide How to get in — and how to get out Only the "in" half Troubleshooting Named errors and their causes Scattered across support tickets The migration page is the interesting one. Documenting how to leave feels like handing the buyer a reason to worry. It does the opposite: exit cost is one of the top questions buyers ask before committing, and a vendor who answers it plainly wins on trust. It's also, in practice, the page competitors' buyers land on. What I keep hearing that developers don't expect. My work involves sitting in on live technology evaluations — the buyer talks, nobody pitches. The gap that shows up most often isn't a missing feature. It's a missing sentence. Questions buyers raise repeatedly that documentation almost never answers: What happens to our data when we stop paying? Who else our size runs this, and at what volume? What does this cost when we're three times bigger? Which parts of this are actually production-ready, and which are marked stable optimistically? What breaks first when we push this hard? If we need help at 2 am, who answers? Engineers write documentation for people who have already bought. These are questions from people deciding whether to. Both audiences read the same pages now. A Practical Checklist Things worth doing, roughly in order of return. Turn headings into questions. "Rate limits" becomes "What are the rate limits?" Costs nothing, matches how questions are asked. Put a direct answer in the first two sentences under each heading. Context after, not before. Add a limits table with real numbers. If you can't publish them, publish the formula. Write the migration-out guide. Yes, really. Promote your best issue-thread answers into docs. The good explanations are already written; they're just buried. Date every page. Freshness is weighed, and undated pages are hard to trust. Keep your product description identical everywhere — docs, README, site, package registry. Inconsistent self-description is how you end up described wrongly. Mark up docs pages properly so authorship and dates are machine-readable. Stop gating technical content. A PDF behind a form is invisible. What this doesn't fix. Being cited is not being chosen. An assistant naming you puts you on a list of three. It doesn't tell the buyer what to do next, and most vendors have nothing waiting there except a demo request form. That gap — mentioned, then nothing — is where most of this work quietly stops paying. Good docs get you onto the list. Something has to happen after. According to a May 2026 audit of 14 frontier models by Algoholic Research, the most common outcome for source content is that it is consumed and reproduced without any credit. FAQ Is this just SEO with a new name? Partly. Structure, clarity and freshness always mattered. What's different is the target: search ranks pages, assistants pick source text. That rewards precise, self-contained passages over pages built to rank. Should we stop maintaining the marketing site? No — humans still land there, and it's where your description of yourself lives. Just stop expecting it to answer buyer questions. Different job. Do we need schema markup on docs? It helps, and it's cheap. Author, date, and article markup make a page easier to attribute. Not a substitute for the page containing the answer. Will publishing limits and pricing formulas help competitors? They already know. Buyers don't, and they're the ones you're losing. How long before changes show up in answers? Usually weeks. Sometimes longer, and never guaranteed. Check the same questions monthly and keep the dates — positions move. Our docs are auto-generated from code. Is that enough? Generally no. Generated reference material lists what exists; it rarely answers "should I use this, and what breaks." Those are hand-written pages. Who should own this — engineering or marketing? Whoever owns the docs already. Handing it to marketing produces marketing prose in the docs, which is the exact thing that makes them useless for this.
Your Docs Are Your Best Sales Asset Now, and Your Marketing Site Is Dead Weight
Full Article
Original Source
Read the full article at Hackernoon →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.