What is ai-brand-monitor-mcp CLAUDE.md?

An MCP server that uses an Apify web service to measure how often a brand appears in answers from AI assistants such as ChatGPT, Claude, Gemini, and Perplexity.

Auditing brand visibility and checking a brand's presence in selected questions across those AI assistants.

It helps identify whether a brand is being mentioned in AI-generated answers instead of checking each service manually.

How khadinakbarlabs/ai-brand-monitor-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to khadinakbarlabs/ai-brand-monitor-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/khadinakbarlabs/ai-brand-monitor-mcp/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/khadinakbarlabs/ai-brand-monitor-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/khadinakbarlabs/ai-brand-monitor-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,254 This file is loaded in full into every session.

When invoked 1,254 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.01254	$0.01254
Opus 5.5	$0.00502	$0.00502
Sonnet 5.5	$0.00251	$0.00251
Haiku 4.5	$0.00125	$0.00125

Measured 2mo ago against content hash d0296f6e1730, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-brand-monitor-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ai-brand-monitor-mcp

What this is

Standalone Node.js MCP server that wraps the khadinakbar/ai-search-brand-monitor Apify actor. Exposes two tools (audit_brand_visibility, check_brand_in_queries) so any MCP-compatible AI agent can measure brand visibility across Perplexity, ChatGPT, Claude and Gemini.

Relationship to the Apify actor

Upstream source of truth: the Apify actor at apify.com/khadinakbar/ai-search-brand-monitor. This MCP package only calls it via apify-client.
MCP also available without this package — users can hit https://mcp.apify.com?tools=khadinakbar/ai-search-brand-monitor directly. This repo adds npm-distributable / Smithery-distributable alternatives + branded tool names (audit_brand_visibility vs Apify's default ai-search-brand-monitor) for better agent ergonomics.

Template pattern

This project is a direct copy of the google-maps-scraper-mcp structure — same folder layout, same smithery.yaml shape, same server.json schema, same src/{index,server,config,apify,types}.ts + src/tools/*.ts pattern. When updating one, consider updating the other for consistency.

Architecture

Transport: stdio (@modelcontextprotocol/sdk/server/stdio.js)
Actor invocation: apify-client (client.actor(id).call(input, { waitSecs }))
Dataset projection: trims heavy fields (ai_response_summary → 280 chars, mention_context → 240 chars, cited_urls → max 8) so 20 items stay well under the 25k token output cap.
LAST_RUN_SUMMARY from the actor's key-value store is surfaced as result.summary for agent-level GEO score / recommendations.

Tools

`audit_brand_visibility`

Template-driven GEO audit. Required: brandName. Optional: brandDomain, brandAliases, industry, competitors, platforms, queryTemplates, maxQueriesPerPlatform.

`check_brand_in_queries`

Custom-question mode. Required: brandName, customQueries (1–10). Optional: brandDomain, brandAliases, competitors, platforms.

Read the full file on GitHub · 76 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 76 lines · 1,254 tokens per session scan A d0296f6e1730

Subscribe to this mod's changes

ai-brand-monitor-mcp CLAUDE.md is an instructions file published in the GitHub repository khadinakbarlabs/ai-brand-monitor-mcp (25 stars, last pushed 5mo ago), licensed MIT. It adds 1,254 tokens to every session, about $0.0050 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics Marketing and SEO ai-agent ai-search ai-seo apify brand-monitoring brand-visibility

ai-brand-monitor-mcp CLAUDE.md next to 6 instructions from other repositories
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ai-brand-monitor-mcp: Instructions file for Claude Code