Reverse-proxy forwarding for agent skill paths
If docs sit behind a proxy or custom domain, forward `/skill.md`, `/.well-known/skills/*`, and `/.well-known/agent-skills/*` instead of letting the discovery layer die at the edge.
Source-backed tactics for AI search visibility, citations, answer engines, and machine-readable discovery.
If docs sit behind a proxy or custom domain, forward `/skill.md`, `/.well-known/skills/*`, and `/.well-known/agent-skills/*` instead of letting the discovery layer die at the edge.
Expose the product through an MCP server first so developers can use it in their own agent workflows before you invest in a full in-app agent.
Feed the model the user's current page state, schema, and account context before it answers so the AI can act like part of the product instead of a detached chatbot.
When syncing one public help center into another system, keep only one version indexable so the migration does not create duplicate content.
Publish plain-language pricing, comparison, integration, and FAQ pages so buyers and AI answer engines get the obvious facts from you instead of from third-party scraps.
Create public profile pages for founders and key operators so branded search and AI answers connect the company to real expertise on your own domain.
Serve markdown from the same canonical URL when an agent requests `Accept: text/markdown`, instead of forcing a separate docs-only experience.
Generate a `.md` version for every important content URL so agents, IDEs, and operators can fetch clean text without special headers.
Publish a Markdown sitemap with section labels and page descriptions so agents can understand the site structure before they start fetching individual pages.
Break major products, services, or differentiating features into dedicated landing pages and link the important ones directly from the main navigation.
Publish plain factual pages like data stats, product comparisons, and 'how it works' explainers so AI tools quote your version instead of a third-party summary.
Add a root /llms.txt file that tells AI agents what the site is, which URLs matter, and how to interpret the content.
Publish one structured trust-center page that explains which product features use AI, what models and data are involved, and what controls govern them.
Write AI trust-center disclosures in the buyer's review order: what the feature does, which model it uses, what data touches it, and what controls sit around it.
Name the major AI crawlers in `robots.txt` and explicitly allow them instead of relying on a generic wildcard and hoping the agent interprets it the way you intended.
Ship `/sitemap.xml` and `/robots.txt` together so crawlers can find the important routes fast instead of discovering the site only through navigation and luck.