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I spent weeks before launch doing something most founders would consider a waste of time. It's now my highest-converting acquisition channel. No ads. No partnerships. No influencer deals. I built the layer of my website that AI chatbots can actually read and recommend. Most people optimise for Google. But a growing number of buyers skip Google entirely — they ask ChatGPT or Gemini a question and trust the answer. If your product isn't in that answer, you're invisible to them. Here are the five things I actually did: 1. Created llms.txt files. These are plain-text docs at your site root that brief AI models on your product. It's an emerging standard. Think of it as SEO but for ChatGPT and Gemini instead of Google. 2. Wrote 62 blog posts before launch. Not keyword-stuffed articles. Honest competitor comparisons, use-case deep dives, FAQ content. Written in the question-answer format AI models prefer to cite. 3. Added structured data (JSON-LD) to every page. FAQPage schema, product schema, review schema. This is the metadata AI models parse when deciding what to recommend. 4. Built dedicated pages for every use case. Not one features page. Individual pages for each market segment, each with specific FAQs. When someone asks an AI "best tool for X", you want a page that directly answers that specific query. 5. Wrote fair competitor comparisons. Not "why we're better." Honest breakdowns of trade-offs. AI models discount self-promotional content. They prefer balanced analysis with real specifics. This is called GEO — Generative Engine Optimization. It's different from SEO. SEO gets you ranked on a search page. GEO gets you mentioned in an AI's answer. Most solopreneurs aren't thinking about this yet. The ones who start now will have a real advantage in 12 months when everyone else catches up. Is this on anyone's radar here? Or is it still too early to matter for your business?

Your website has never truly been the front door to your funnels and offers. Google was. Search results were the gateway. Your homepage was what someone reached after they chose to click. Now that gateway is shifting and expanding. When someone asks ChatGPT, Perplexity, or Google’s AI overview a question in your category, they often see a generated summary before they see any list of links. That summary becomes the new entry point. In many cases, it becomes the only touchpoint. If AI systems cannot crawl your site properly, you are excluded from that answer layer. If they crawl your site and encounter fragmented signals, conflicting canonicals, weak structure, or unclear positioning, they synthesize a fragmented version of you. So what actually matters right now? Here are the three fundamentals. #1 is AI bot access in robots.txt. Explicitly verify whether GPTBot, ClaudeBot, PerplexityBot, and Google-Extended are allowed or disallowed. One misplaced rule can quietly remove you from an entire discovery channel. This is access control at the answer layer. #2 is structured data. AI systems rely heavily on JSON-LD schema, clean H1 hierarchy, canonical tags, and consistent meta descriptions. When those signals are clean and aligned, summaries improve. When they conflict, representation degrades. Structure influences synthesis. #3 is content clarity. Clear positioning. Defined services. Strong headlines. Internal links that reinforce topical authority. AI systems generate from what they can understand. Ambiguous sites produce ambiguous answers. There is also a developing concept called llms.txt. At this stage, no major LLM has formally committed to using it as a standardized input. It may become important. It is worth preparing for. But today, access, structure, and clarity carry the real weight. The shift is simple. Discovery has moved from website, to search result, to generated answer. That answer is built from the signals you expose. If you care about how your homepage reads, you should care about how an AI summary reads.

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