mcp server
AEO Scanner
AI visibility for ChatGPT/Perplexity/Claude — triple score (AEO+GEO+Agent) with fix code. Free.
Description as published by the maintainer. Source
- version 2.2.1
- slowing
slowing — Most recent push to the repository was 2026-04-17.
What this server can do
4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
audit_site(url, pages, categories)- Full AI visibility audit across 77+ checks in 12 categories (4 AEO + 4 GEO + 4 Agent Readiness). Returns detailed per-check scores with specific issues and recommendations, AI Identity Card with mention readiness and detected competitors, and business profile. GEO checks include 3 research-backed citation signals: factual density, answer frontloading, and source citations. Agent Readiness covers emerging agent-discovery standards Cloudflare's isitagentready.com evaluates: RFC 9727 api-catalog, SEP-1649 MCP Server Card, and IETF Content-Signal (draft-romm-aipref). Does NOT generate fix code — pass this response's id as scan_id to fix_site (within 1 hour) to get fixes WITHOUT a re-crawl, or use compare_sites to benchmark against a competitor. Pay per call ($1.00) via x402 — USDC on Base or Solana. Machine payment via signed X-PAYMENT header; see https://www.x402.org/. On payment_required, the response includes the full x402 payload with payTo/amount/asset. Required: url.
compare_sites(url, pages, competitorUrl)- Competitive gap analysis — scans two sites concurrently, shows side-by-side scores, category-by-category winners, competitive gaps (checks where the competitor scored 20+ higher), and generated overtake fix code with projected scores after closing gaps. Use this when the user wants to benchmark against a competitor or when scan_site detects competitors in the AI Identity Card. Pay per call ($3.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset. Required: url, competitorUrl.
fix_site(url, pages, format, scan_id)- Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick wins (critical + high fixes only) and full implementation ceiling (all fixes). TIP: pass scan_id from a fresh audit_site result (kept 1 hour) to skip the re-crawl — instant response, same price. Content recommendations include research citations. Run scan_site first to see which issues exist. Pay per call ($5.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.
scan_site(url, pages)- Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 77+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor. Required: url.
Last successful function declaration observed on . Source: https://aeo-mcp.convrgent.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://aeo-mcp.convrgent.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-04-17 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 1 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 2.2.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-17 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-04-17 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 4 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | aeo-mcp.convrgent.ai | |
| mcp endpoint status | ok | The server listed 4 functions when asked. | as of probe | aeo-mcp.convrgent.ai |
Where to get it
Related, by what their authors tagged them
-
Myagi - Open Agent Registry
— last commit 2026-08-03, shares agent-readiness
Score any website's AI-agent readiness. Open Agent Registry scanner + platform tools.
-
io.github.davidmosiah/mcp-scorecard
— last commit 2026-08-06, shares agent-readiness
Agent-readiness scorecard for any MCP server: 10 checks, 0-100 score, actionable findings.
-
com.cituna/cituna-mcp
— last commit 2026-08-04, shares aeo, ai-visibility, seo
Track how 6 AI engines cite your brand, daily, with live Google Search Console.
-
Specularis AI Visibility Audit
— last commit 2026-08-06, shares aeo, ai-visibility, seo
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
-
DigestSEO AI Visibility
— last commit 2026-07-27, shares aeo, ai-visibility, seo
Track how ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews cite your brand.
-
DigestSEO mcp-geo — AI Visibility MCP Server
— last commit 2026-07-27, shares aeo, ai-visibility, seo
DigestSEO mcp-geo: track brand citations across five AI search engines.
-
CrazySEO
— last commit 2026-08-05, shares aeo, ai-visibility, seo
Audit whether ChatGPT, Gemini and Perplexity recommend a site. Readiness checks need no keys.
-
io.github.builtbyabs/shopify-geo-audit
— last commit 2026-07-21, shares aeo, ai-visibility, seo
Audit any Shopify store for AI search (GEO/AEO) readiness and generate the fixes. No signup.
-
CrazySEO
— last commit 2026-08-05, shares aeo, ai-visibility, seo
Audit whether ChatGPT, Gemini and Perplexity recommend a site. Readiness checks need no keys.
-
ai.sitepulsar/mcp
— last commit 2026-06-10, shares aeo, ai-visibility
SitePulsar AEO audits: fetch FIND/READ/USE agent-readiness scores for any website.
These share tags the maintainers applied themselves, such as agent-readiness, aeo, ai-visibility, seo. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: aeo, agent-readiness, ai-visibility, mcp, seo, x402.
This record as data
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