AGENTKIT/WORKS

Nia — AI search visibility

MCP-based context/search layer that indexes codebases, docs and other sources so coding agents (Cursor, Claude Code, Continue, Cline) 'just know' the right answer instead of re-searching every session · trynia.ai

Cited in 0 of 10 buyer queries

Rank 50 of 101 on the index · checked 2026-09-10 · every row below is a measured result, not an estimate

THE QUERIES, AND WHO GETS NAMED INSTEAD

Buyer queryNiaNamed instead
MCP server that gives coding agents up to date documentationNot citedContext7, and nothing else
Context7 alternatives for AI coding agentsNot cited—
best way to index a large codebase so Claude Code understands itNot cited—
best codebase search MCP server for Cursor and Claude Code 2026Not cited—
DeepWiki vs Context7 for understanding a repoNot cited—
how do I give my coding agent memory of my codebase across sessionsNot cited—
MCP server to index my private docs and codebase for CursorNot cited—
how do I stop Cursor from suggesting outdated library APIsNot cited—
how do I stop wasting tokens re-explaining my project to Claude Code every sessionNot cited—
tool that lets Cursor and Claude Code search my docs, GitHub and Slack for contextNot citedReturned nothing useful

Method: queries are phrased the way a buyer would ask, run against live AI answer engines on the date shown. “Cited” means the answer named Nia or drew on its site as a source. The full audit behind this page also records every source domain per query.

Why Nia doesn't appear — and how to fix it

The full audit names the exact pages answer engines read in this category, the three cheapest gaps to close, and the pages to publish first. It exists already — it is how this score was measured.

Something wrong or already fixed? Re-audits are free and this page updates either way.

NEARBY ON THE INDEX