# WellSaid. — full corpus > WellSaid helps small businesses get cited by AI assistants (ChatGPT, Perplexity, Google AI). It finds the questions their customers ask, interviews the owner for five minutes to capture what only they know, and turns that expertise into a whole pack: a fact-checked answer-first article, four social posts, a 60-second video script, and photo ideas. Download it as one file, or publish it to a hosted answer page AI can read. ## Home WellSaid finds the questions your customers ask ChatGPT, Perplexity, and Google AI, interviews you for five minutes to capture what only you know, and turns that expertise into everything you need to publish: an article with every fact checked, four social posts, and a 60-second video. How it works: 1) We find the question: real questions your customers ask AI, the ones where today's answer is thin and yours would be better. 2) You talk, we write: a five-minute interview captures your expertise; the article is built only from what you said, and every claim is checked back against it. 3) You publish the pack: the article, four social posts sized for Google Business, Facebook, Instagram and LinkedIn, a 60-second video script with a recorder built in, and photo ideas with the captions already written. Download it all as one file, or put the article on the web with one click. Everything is written to be quoted: an answer-first summary, question-shaped headings, schema code, and a hosted answer page AI assistants can read. If you didn't say it, it doesn't go in. Canonical: https://wellsaidhq.com/ ## Product How does WellSaid know what I should write? It watches what your customers actually ask: WellSaid mines real search questions around your services and location, then checks what AI assistants currently answer for each one. Questions where today's answer is thin, or cites sources you can beat, rise to the top. Where does the content come from? From you. A five-minute interview, built from your own uploaded material, asks the questions only you can answer: your real numbers and your stories, said the way you'd actually say them. The article is written only from what you said. How do I know it's not making things up? Every fact is traced to its source. After writing, a separate fact-checker extracts every claim and matches it against what you actually said. If something lacks backing, it gets flagged and held back. What about the technical stuff AI engines need? Done for you, invisibly: every piece exports with schema code, a machine-readable version, an llms.txt entry, and a check that your website isn't blocking AI readers. What do I actually get? The whole pack, from one interview: an answer-first article with every fact checked against your own words, four social posts sized for Google Business, Facebook, Instagram and LinkedIn, a 60-second video script with a recorder built in, and photo ideas with the captions already written. Download it all as one file, or put the article on the web with one click and get a link you can share. Canonical: https://wellsaidhq.com/product ## Pricing WellSaid starts free: the First Pack plan includes 3 packs, a voice or typed interview, the article plus social posts and video script, and the download, no card required. Solo is $79/month for one business publishing steadily: 10 packs every month, your own hosted answer pages, photo uploads built into the article, and download everything any time. Growth is $179/month: 30 packs every month, priority writing, and everything in Solo. Agency is $499/month: 10 client businesses included (+$39 each after), 60 packs pooled across clients, team seats, and everything in Growth. A pack is everything one interview produces: the answer-first article, four social posts, a 60-second video script, the photo ideas, the schema code and AI-readable files, and the fact-check report. Canonical: https://wellsaidhq.com/pricing ## Solutions: Physical therapy Patients now ask AI assistants whether they need PT or surgery, what recovery takes, and what it costs without insurance. WellSaid interviews the therapist, writes fact-checked answer-first articles from their real case numbers, and hands back the social posts and a 60-second video script to go with each one. Canonical: https://wellsaidhq.com/solutions/physical-therapy ## Solutions: Dentists Patients ask AI if implants hurt, what cleanings cost, and how to choose a dentist. WellSaid turns the dentist's real experience into citable answers, then writes the social posts and the 60-second video script from the same interview. Canonical: https://wellsaidhq.com/solutions/dentists ## Solutions: Home services Homeowners ask AI what repairs should cost and who to trust. WellSaid captures the contractor's real pricing and war stories in a five-minute interview and publishes answers AI engines can verify and cite. Canonical: https://wellsaidhq.com/solutions/home-services ## About WellSaid is built on one rule above all others: if you didn't say it, it doesn't go in. Every claim in your content traces back to something you actually said in the interview. A separate fact-checker reads the finished article, matches every claim against your own words, and flags anything it cannot back. The content is written to be quoted by AI assistants, which is why it is answer-first and carries schema code, but the expertise in it is yours and only yours. Canonical: https://wellsaidhq.com/about ## How do AI assistants decide which local businesses to recommend? Answer: AI assistants recommend businesses they can find, read, and verify. They pull from content that answers real questions directly, carries specific checkable facts, and matches what the rest of the web says about the business. Clear first-hand answers get cited. Generic marketing pages get skipped. ## Where do AI answers actually come from? When someone asks ChatGPT or Perplexity a question like "should I see a physical therapist or a chiropractor for back pain," the assistant doesn't consult a secret directory of good businesses. It searches the live web, pulls in the most relevant passages it can find, and writes an answer grounded in those passages, usually with citations back to the sources it used. That single mechanic explains almost everything about who gets recommended. The assistant can only cite what it can retrieve, and it prefers passages that answer the question directly, in plain language, with specifics it can check. If your website contains that passage, you have a shot at being the answer. If your website doesn't, the assistant quotes whoever wrote one that does. ## Why do generic pages get skipped? Most local business websites read like brochures: "Welcome to our practice, where caring professionals deliver excellence." An AI assistant retrieving passages for a specific question can't do anything with that. It answers nothing, there's nothing to verify, and it sounds like every other page on the internet. Compare that with a page that says a full course of treatment typically runs six to eight visits at a stated cash price, based on a stated number of real cases. That passage answers a real question with real numbers. An assistant assembling an answer about treatment costs can quote it, attribute it, and check it against the rest of your site. ## What signals make a business citable? The answers that name specific businesses tend to share a few traits. The content resolves the question in its opening sentences instead of building up to it. It carries specifics that generic content never includes: numbers, timelines, prices, and first-hand experience. And the business's details hold up when the assistant cross-checks them against its Google Business Profile and public listings. Consistency makes the assistant confident enough to use a name. None of this requires technical skill. It requires saying what you actually know, the same answers you give customers on the phone every day, in a format machines can retrieve. ## Does traditional SEO still matter? Yes, as a foundation. Google's AI features draw on its regular search index, so a site that's invisible to search is invisible to AI answers too. But the ranking factors that made a page win a list of blue links are not the same factors that make a passage quotable inside a synthesized answer. Answer-first structure, question-shaped headings, and verifiable specifics matter more in the AI answer layer than they ever did in classic rankings. ## What should a small business do first? Start with one question your customers genuinely ask, answer it honestly in your own words with real numbers, and publish it on your site. That is the entire strategy in miniature. Schema markup, machine-readable files, and measurement all build on that same core move: being the clearest, most verifiable answer to a question people actually ask. WellSaid automates that loop. It finds the question, interviews you for the real answer, and turns it into the article, the social posts and the video script, ready to publish. Canonical: https://wellsaidhq.com/blog/how-ai-assistants-recommend-local-businesses ## What is llms.txt, and does your business website need one? Answer: llms.txt is a plain-text file at your website's root that gives AI systems a clean map of your most important pages. Google ignores it, but it helps other AI crawlers and tools find and ingest your content efficiently. It takes minutes to add and carries no downside. ## What does llms.txt actually do? Modern websites are heavy. Navigation menus, scripts, cookie banners, and styling get wrapped around a small core of actual content, and when an AI system reads your site, all of that wrapping wastes its limited attention. The llms.txt standard addresses this with a simple text file at your site's root (like `yourbusiness.com/llms.txt`) that lists your most important pages with one-line descriptions, in a format machines parse instantly. Think of it as the difference between handing someone your whole filing cabinet versus a one-page index of what's inside and where. A companion file, llms-full.txt, can go further and include the full text of your key pages in one clean document, so an AI tool can ingest everything you offer in a single request. ## Does Google use llms.txt? No, and it's worth being precise about this because a lot of advice online gets it wrong. Google has stated publicly that its search and AI features give llms.txt no special treatment. Adding one won't help or hurt your Google rankings or your presence in Google's AI answers. Google's systems rely on regular crawling of your actual pages. The file matters for the ecosystem beyond Google. AI crawlers, research tools, and assistants that fetch a site on demand can use it to navigate straight to substance. The file costs nothing to serve and takes minutes to create, so the honest framing is modest upside for almost no work. ## What belongs in the file? A good llms.txt starts with your business name as a heading, a short factual summary of what you do, and then a grouped list of links (core pages first, then guides or articles), each with a one-line description. The best versions read like an honest index rather than a sales pitch. Machines are the audience, and clarity is what serves them. If you publish answer-style articles, each one belongs in the list with a description of the question it answers. That's what makes the index useful to a system trying to match your content to a user's question. ## Should a local business bother? If your website is three pages that rarely change, llms.txt is a nice-to-have you can set up in ten minutes. If you publish content regularly (answers to customer questions, guides, service explainers), it becomes genuinely useful, because it keeps a live, machine-readable index of everything citable you've written. Every piece WellSaid generates ships with its own llms.txt entry ready to paste, and this site's own llms.txt is generated automatically from every page and post, including this one. We practice the format we recommend. Canonical: https://wellsaidhq.com/blog/what-is-llms-txt ## GEO vs SEO: what actually changes for a small business? Answer: SEO earns you a position in a list of links. GEO earns you a place inside the AI's answer itself. The work overlaps, since good content helps both, but GEO rewards direct answers, verifiable specifics, and consistent business details more than backlinks and keywords. For most small businesses, the biggest change is writing answers instead of pages. ## What's the real difference? Classic SEO plays for position: when someone searches, your page appears high in a list, and the customer clicks through to your site. Generative engine optimization (GEO) plays for inclusion: when someone asks an AI assistant, the assistant's *answer itself* mentions or cites your business. There may be no list at all, and often no click. The customer meets you inside the answer. That difference sounds subtle, but it changes what "winning" looks like. A page can rank #3 on Google and never once be quoted by an AI assistant. A short, direct, verifiable answer on a modest website can be cited constantly. The skills overlap, and the scoreboard is different. ## What stays the same? The foundation carries over. Your site still needs to be crawlable, fast, and technically sound, because AI systems that ground their answers in live search can't cite what the search index can't see. Real expertise still wins, and thin copied content still loses. Google has been explicit that its AI features draw on its ordinary search systems, so abandoning SEO for some separate "AI trick" would be a mistake. GEO is an extra layer on top of the same foundation. ## What actually changes in the writing? A few habits matter more than they used to. Put the answer first: the direct answer to the page's question should appear in the first few sentences, before any wind-up. Use question-shaped headings, titled the way a customer would actually ask ("How much does it cost without insurance?"), because they give AI systems clean retrieval targets. Write self-contained paragraphs that make sense if lifted out alone, since that's exactly how AI retrieval uses them. Above all, use specifics. Real prices, real timelines, real case counts, first-person experience. Generative engines weigh quotable statements and concrete numbers heavily, because those make an answer verifiable. Vague marketing language gets filtered out precisely because it can't be checked. ## How do you measure GEO? You can't check your "AI rank", because there isn't one. Assistants generate a different answer every time they're asked. If a tool tells you that you rank #2 in ChatGPT, it is selling you fiction. The only honest approach is sampling: ask the assistants your customers' questions repeatedly, and count what fraction of the answers mention you. That fraction, trending over time, is the closest thing to a scoreboard that exists. It is also slow, noisy, and it can go down for reasons that have nothing to do with you. So here is the plain advice: don't build your strategy around a number. Build it around publishing answers that are specific, verifiable, and actually yours. Those are the ones assistants can quote, and they are worth publishing whether or not anyone is keeping score. ## Where should a small business start? Don't rebuild your website. Pick the one question customers ask most, publish an honest, specific, answer-first piece about it, and make sure your business details are consistent everywhere they appear. One well-said answer that AI engines can verify beats ten pages of polished marketing they can't. Canonical: https://wellsaidhq.com/blog/geo-vs-seo-small-business