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