AI Discoverability

AI Discoverability is the ability of LLMs and agents to find and interpret machine-readable descriptions of what a site or business exposes publicly—without conflating platform-wide documents with per-tenant authority.

Definition

Unlike traditional SEO which ranks documents, AI Discoverability adds structured and semi-structured layers (e.g. llms.txt, JSON manifests, registries) so machines know where to look and what scope applies.

Why It Matters

Assistants need honest boundaries: which URLs are informational for the whole product, and which APIs are bound to one business (e.g. a public /:slug or /api/agent/{slug}/…). NexScout encodes that split in /.well-known/capabilities.json and per-slug GET /api/agent/{slug}/discovery.

How NexScout Implements This

Platform: well-known URLs, AI sitemap, MCP foundation manifest, route-backed capabilities registry. Business: discovery manifests and MCP stubs scoped to a single public slug; POST actions (booking, chat) use server-resolved tenant context—never “execute on any business” from one call.

Human summary: platform vs business scope


Cite this page

Canonical: https://nexscout.io/ai/agent-discoverability

Version: 1.1.0

Last updated:

BibTeX

@misc{nexscout_ai_discoverability_2026,
  title        = {AI Discoverability},
  author       = {{NexScout}},
  year         = {2026},
  month        = {02},
  url          = {https://nexscout.io/ai/agent-discoverability},
  note         = {Version 1.1.0}
}

APA

NexScout. (2026). AI Discoverability (Version 1.1.0). https://nexscout.io/ai/agent-discoverability