`; after deleting it, two sites went from h1 HIDDEN and 394 / 1,619 hidden characters to **0**. Text a client-only scene paints into a canvas doesn't exist for them — keep an HTML twin. ## 2. `llms.txt` A plain-markdown map of the site at `/llms.txt` for language models. Serve it from `src/app/llms.txt/route.ts` (a Route Handler returning `text/plain`) so it stays in sync with real routes rather than rotting as a static file. ``` # > One-sentence description of what the company does and for whom. ## Core pages - [Services](https://example.com/services): what is offered, to whom - [About](https://example.com/about): who the company is, founded, location ## Key facts - Founded: 2019 · HQ: Berlin · Focus: ``` Keep it factual and short. It is a summary for a machine, not a marketing page. ## 3. Structure content so it can be extracted - **Answer first.** Lead each section with the direct claim in one or two sentences, then support it. Content that builds to a conclusion gets skipped. - **One idea per heading**, and phrase headings as the questions people ask. - **Self-contained sentences.** "Our approach is faster" is unusable out of context; "Textura ships marketing sites in four weeks" survives extraction. - **Concrete specifics** — numbers, dates, named methods, prices where possible. Vague marketing language is unquotable. - **Comparison and definition content** punches above its weight: "X vs Y", "What is X", pricing pages, and genuine FAQs. - Mark FAQs up with `FAQPage` (see the `schema-markup` skill). ## 4. Entity consistency Answer engines assemble a picture of the brand from many sources. Contradictions dilute it. Keep the name, description, founding year, location and offering identical across — starting with the site's own `siteConfig` (title, OG, manifest, JSON-LD must all carry the brand as its logo writes it, never a starter placeholder) — the site, `Organization` JSON-LD, `llms.txt`, LinkedIn, Crunchbase, G2, Google Business Profile, and any press coverage. ## 5. Audit current visibility Ask the user for the brand, category and 3–5 competitors, then test the prompts their buyers would actually use — "best for ", "alternatives to ", " review", "how to ". For each: is the brand mentioned, in what position, is the description accurate, what sentiment, who is mentioned instead. Use WebSearch to check what public sources currently say — that is the raw material the models are drawing on. Report as a table plus a prioritised action list. Be honest that this is a point-in-time sample, that answers vary between runs and platforms, and that changes take weeks or months to surface. ## 6. What actually moves the needle Third-party corroboration outweighs anything you publish about yourself: being in "best of" roundups and comparison articles, community mentions where your buyers ask questions, original data worth citing, and up-to-date profiles on the aggregators that models read. Publishing more pages about yourself does not substitute for it.