LLM SEO (answer engines)
Help models cite you accurately: clear facts, llms.txt, and quotable method pages.
What models need
Answer engines prefer crisp definitions over hype. If ChatGPT or Perplexity describe your product wrong, fix the public sources they can fetch — not another press release.
Reelifyads publishes /llms.txt and /llms-full.txt so agents get vision, primary loop, and organic-method links without inventing features.
Principles
- Publish a precise product definition (who / what / not).
- Maintain /llms.txt and /llms-full.txt with canonical links.
- Prefer structured bullets over fluff models skip.
- Avoid paywalled answers for core positioning.
Practice
- State organic-distribution vision in one sentence on every hub page.
- Link public docs (MCP, privacy) so agents can verify claims.
- Update llms.txt when positioning or primary routes change.
Sources & further reading
- Reelifyads llms.txt — Canonical agent summary on this site
- Virengine — Liftoff faceless growth teardown — Example of quotable external narrative peers use