AI Visibility vs The Mirror System — AI Citability
A side-by-side look at the AI Visibility and The Mirror System — AI Citability MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
T
The Mirror System — AI CitabilityMarketingAI Citability across AEO, GEO, SEO & MCP: is a brand cited & callable? Free Lite Reflection.37FairAuth: not declaredVerdict: choose AI Visibility for marketing work as a local process; choose The Mirror System — AI Citability for marketing. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AI Visibility when
- You need dedicated capabilities in the Marketing domain.
- You prefer a local stdio subprocess transport.
- You want tools like
check_brand_visibility, check_single_query, get_visibility_score.
TChoose The Mirror System — AI Citability when
- You need dedicated capabilities in the Marketing domain.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | T The Mirror System — AI Citability | |
|---|---|---|
| Category | Marketing | Marketing |
| Quality signal | 59/100 · Good | 37/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 10 | — |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 6 | Not listed |
| Full listing | View AI Visibility | View The Mirror System — AI Citability |
Tools & capabilities
AI Visibility tools 6
check_brand_visibilityCheck a brand's visibility across AI platforms (ChatGPT, Perplexity, Claude, Gemini). Simulates realistic queries and analyzes mention rates, positions, sentiment, and competitor landscape.check_single_queryCheck if a brand is mentioned for a specific query on a specific AI platform. Returns mention status, position, context snippet, sentiment, and competitor mentions.get_visibility_scoreCalculate an overall AI visibility score (0-100) for a brand across all four AI platforms. Includes per-platform breakdowns and improvement recommendations.compare_brandsCompare the AI visibility of multiple brands side by side. Shows per-platform scores, overall rankings, and relative strengths.get_recommendationsGet actionable recommendations to improve a brand's AI visibility. Prioritized suggestions based on current score and industry best practices.list_platformsList all supported AI platforms with details about how each sources and presents brand information.
The Mirror System — AI Citability tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
AI Visibility
{
"mcpServers": {
"sharozdawa-ai-visibility": {
"command": "npx",
"args": [
"-y",
"ai-visibility-mcp"
]
}
}
}
The Mirror System — AI Citability
No confirmed install command for The Mirror System — AI Citability yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
AI Visibility is categorized under Marketing and uses a local stdio subprocess. The Mirror System — AI Citability belongs to Marketing and uses an install path we have not confirmed yet. Pick AI Visibility for marketing work and The Mirror System — AI Citability for marketing.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. The Mirror System — AI Citability has no confirmed install command yet — follow its own setup instructions.
AI Visibility has no declared pricing — check the project's own site. The Mirror System — AI Citability has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add sharozdawa-ai-visibility and the-mirror-system-ai-citability as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AI Visibility has a quality signal of 59/100 (Good) with 2 views, 0 installs and 10 GitHub stars. The Mirror System — AI Citability has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.