# SurfacedBy AI Visibility & GEO Audit (remote · api.surfacedby.com)

Free AI visibility and GEO audit: see what AI reads on your site and whether its answers cite you.

- Trust score: 72/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-22

## Components

- remote · `api.surfacedby.com`: 72/100 (this document), [markdown](https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public.md), [page](https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public)

## Channel facts

- Endpoint: `https://api.surfacedby.com/api/v1/mcp/public/`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-22.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 69/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1256 tokens (~251/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 33/100
  - Stability observed for 10 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the SurfacedBy AI Visibility & GEO Audit MCP server?

SurfacedBy AI Visibility & GEO Audit is a hosted endpoint at https://api.surfacedby.com/api/v1/mcp/public/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-surfacedby-ai-visibility 'https://api.surfacedby.com/api/v1/mcp/public/'
```

### Cursor

```json
{
  "mcpServers": {
    "com-surfacedby-ai-visibility": {
      "url": "https://api.surfacedby.com/api/v1/mcp/public/"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-surfacedby-ai-visibility": {
      "type": "http",
      "url": "https://api.surfacedby.com/api/v1/mcp/public/"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-surfacedby-ai-visibility]
url = "https://api.surfacedby.com/api/v1/mcp/public/"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-surfacedby-ai-visibility": {
      "type": "remote",
      "url": "https://api.surfacedby.com/api/v1/mcp/public/",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-surfacedby-ai-visibility --url 'https://api.surfacedby.com/api/v1/mcp/public/' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-surfacedby-ai-visibility:
    url: "https://api.surfacedby.com/api/v1/mcp/public/"
```

### Netclaw

```json
{
  "McpServers": {
    "com-surfacedby-ai-visibility": {
      "Transport": "http",
      "Url": "https://api.surfacedby.com/api/v1/mcp/public/"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-surfacedby-ai-visibility -t streamable-http -u 'https://api.surfacedby.com/api/v1/mcp/public/'
```

### Other

```json
{
  "mcpServers": {
    "com-surfacedby-ai-visibility": {
      "type": "http",
      "url": "https://api.surfacedby.com/api/v1/mcp/public/"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-22 (score 72, 0)

- [functional regression] Schema quality: 187 → 251
- [functional] This server's schema is too large to store in full, so we cannot compare its tools day to day

### 2026-10-20 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-18 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-17 (score 70, +7)

- [security regression] HSTS header: unverified → fail
- [security improvement] Authorization: unverified → partial

### 2026-10-16 (score 63, −6)

- [security regression] HSTS header: fail → unverified
- [security regression] Authorization: partial → unverified

### 2026-10-14 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 68, +2)

- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “surfacedby_analyze_answer_evidence” rewrote its description, which is the text the model reads
- [security] Tool “surfacedby_inspect_page_evidence” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: pass → fail
- [functional improvement] Stability: unverified → 0.03
- [functional] First check of Schema quality: 100
- [functional] Schema quality: fair → good
- [functional] New prompt “check_ai_answers”
- [functional] New prompt “compare_with_competitors”
- [functional] New prompt “fix_ai_crawler_access”
- [functional] New prompt “full_ai_visibility_audit”
- [functional] New resource “ai-visibility-audit-method”
- [functional] New resource “ai-visibility-research-findings”
- [functional] Server version: 1.27.2 → 1.28.1
- [functional] New tool “surfacedby_check_ai_crawler_access”
- [functional] New tool “surfacedby_get_ai_source_landscape”
- [functional] New tool “surfacedby_plan_ai_visibility_audit”
- [cosmetic] “surfacedby_analyze_answer_evidence” added an optional parameter “competitor_domains”
- [cosmetic] “surfacedby_analyze_answer_evidence” added an optional parameter “platform”
- [cosmetic] Tool “surfacedby_analyze_answer_evidence” changed its title: Analyze visible answer evidence → Check whether an AI answer cites or names you
- [cosmetic] Tool “surfacedby_inspect_page_evidence” changed its title: Inspect website facts for AI visibility → Audit website pages the way AI reads them

### 2026-10-12 (score 66)

First indexed and scored.

## MCP tools (5)

### `surfacedby_inspect_page_evidence` (~103 tokens)

Audit website pages the way AI reads them

Read up to five public pages the way an AI crawler receives them, without running JavaScript. Returns sourced sections, table cells, internal and outside links and declared structured data, plus each page's type, source type and readiness findings with the documentation behind them, repeated declared facts to review, and the remaining request budget. Partial or unreadable pages are reported as such. Runs no AI queries and measures no visibility.

Input parameters:

- `urls` (array, required)

Output parameters:

- `budget`
- `declaration_review`
- `evidence_kind` (string)
- `evidence_provider` (string)
- `limitations` (array)
- `next_steps` (array)
- `pages` (array)
- `status` (string)

### `surfacedby_analyze_answer_evidence` (~145 tokens)

Check whether an AI answer cites or names you

Check one AI answer the user pasted: whether it cites the business with a link, names it without one, or leaves it out. Classifies every cited source, such as review sites, best-of lists, forums, competitors and the business's own pages, reads Google and Gemini redirect links to the pages they point to, summarizes which source types dominate, and gives the likely reason and fix when the business is not cited. Runs no AI queries of its own.

Input parameters:

- `answer` (string, required)
- `brand_name`
- `business_url` (string, required)
- `competitor_domains` (array)
- `language`
- `platform`

Output parameters:

- `answer_sha256` (string)
- `brand_name_ambiguous` (boolean)
- `business_citations` (array)
- `cited_sources` (array)
- `diagnosis`
- `evidence_kind` (string)
- `limitations` (array)
- `matched_terms` (array)
- `next_steps` (array)
- `platform`
- `presence` (string)
- `source_concentration`
- `visible_citations` (array)

### `surfacedby_check_ai_crawler_access` (~107 tokens)

Check AI crawler access

Check which AI crawlers a site allows, restricts or blocks in robots.txt, what that means for each AI platform and the search index it reads, where to submit pages, whether a security challenge answers an ordinary request, homepage noindex, llms.txt and Content-Signal, with copy-ready fixes. Reads the site's public files and one ordinary page request; firewall rules keyed to crawlers' own IP addresses are not visible.

Input parameters:

- `domain` (string, required)

Output parameters:

- `budget`
- `citation_crawlers_blocked` (array)
- `content_signal`
- `crawlers` (array)
- `domain` (string)
- `evidence_kind` (string)
- `evidence_provider` (string)
- `fixes`
- `homepage`
- `limitations` (array)
- `llms_txt`
- `next_steps` (array)
- `observed_at` (string)
- `platforms` (array)
- `robots_txt`

### `surfacedby_get_ai_source_landscape` (~90 tokens)

See where AI platforms get their answers

Show, for each AI platform, the mix of source types it cites, recent shifts in specific sources and how its answers cite, from SurfacedBy's published AI Search Index, with the data date, the public page and related research findings with links. Rates are pooled across many brands and describe each platform, not any one business.

Input parameters:

- `platform`
- `topic`

Output parameters:

- `corpus_answers`
- `corpus_citations`
- `data_through`
- `evidence_kind` (string)
- `limitations` (array)
- `next_steps` (array)
- `platforms` (array)
- `research_findings` (array)
- `source_url` (string)
- `status` (string)
- `window_days`

### `surfacedby_plan_ai_visibility_audit` (~100 tokens)

Plan an AI visibility audit

Return the ordered checklist for an AI visibility audit of a business website: each step, the tools for it, the quality bar for the result, the rules to follow, the published research findings that apply to the goal, and the remaining request budget. Makes no request to the website.

Input parameters:

- `business_url` (string, required)
- `competitors` (array)
- `goal`
- `language`
- `market`

Output parameters:

- `budget`
- `business_url` (string)
- `evidence_kind` (string)
- `goal` (string)
- `goal_description` (string)
- `goal_label` (string)
- `guardrails` (array)
- `interpreting_results` (array)
- `known_competitors` (array)
- `language`
- `market`
- `method_version` (string)
- `next_steps` (array)
- `quality_bar` (array)
- `research_findings` (array)
- `steps` (array)
- `tracking`
- `workflow_rule` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public#diagnostics

## Score history

- 2026-10-22: 72
- 2026-10-21: 72
- 2026-10-20: 72
- 2026-10-19: 71
- 2026-10-18: 71
- 2026-10-17: 70
- 2026-10-16: 63
- 2026-10-15: 69
- 2026-10-14: 69
- 2026-10-13: 68
- 2026-10-12: 66

## Common questions

### What is the SurfacedBy AI Visibility & GEO Audit MCP server?

SurfacedBy AI Visibility & GEO Audit is an MCP server listed in the public MCP registry as com.surfacedby/ai-visibility. Free AI visibility and GEO audit: see what AI reads on your site and whether its answers cite you. This page covers its hosted endpoint (https://api.surfacedby.com/api/v1/mcp/public/).

### Is the SurfacedBy AI Visibility & GEO Audit MCP server safe to use?

SurfacedBy AI Visibility & GEO Audit scores 72 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the SurfacedBy AI Visibility & GEO Audit MCP server expose?

SurfacedBy AI Visibility & GEO Audit exposes 5 tools: surfacedby_inspect_page_evidence, surfacedby_analyze_answer_evidence, surfacedby_check_ai_crawler_access, surfacedby_get_ai_source_landscape, surfacedby_plan_ai_visibility_audit. Their descriptions and schemas cost roughly 545 tokens of context every time the server is loaded.

### Does the SurfacedBy AI Visibility & GEO Audit MCP server require authentication?

No. We connected to SurfacedBy AI Visibility & GEO Audit without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the SurfacedBy AI Visibility & GEO Audit MCP server still maintained?

SurfacedBy AI Visibility & GEO Audit is still listed as active in the MCP registry. We last reached this channel on 22 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://api.surfacedby.com/api/v1/mcp/public/
- Repository: https://github.com/surfacedby/ai-visibility-mcp
- Website: https://surfacedby.com/tools/chatgpt-ai-visibility
- Changelog RSS feed: https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public.json
- HTML version of this page: https://verifymcp.io/servers/com-surfacedby-ai-visibility/api-v1-mcp-public