Proofsource vs DigestSEO mcp Geo — AI Visibility MCP Server
In-depth architectural comparison of the Proofsource and DigestSEO mcp Geo — AI Visibility MCP Server MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Proofsource
Marketing · Remote HTTP/SSE
Quality: 69/100 (Great) | Auth: OAuth 2.0
DigestSEO mcp Geo — AI Visibility MCP Server
Marketing · Local stdio
Quality: 61/100 (Good) | Auth: API Key required
Verdict Summary: Choose Proofsource if you need specialized Marketing tools running via a hosted cloud SSE transport. Choose DigestSEO mcp Geo — AI Visibility MCP Server if your workspace requires Marketing integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
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Choose Proofsource when:
You need dedicated capabilities in the Marketing domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: OAuth 2.0 (Paid Service).
AI visibility for your brand: which buyer questions name you in ChatGPT, Perplexity, Claude and Google AI Overviews, which competitors AI recommends instead, which sources it cites, and what to fix. Remote server with OAuth sign-in.
DigestSEO mcp-geo: track brand citations across five AI search engines.
The brands this Proofsource workspace tracks in AI answers, with ids and websites. Call first; every other tool takes a brand_id.
list_topics
The topics and buyer questions Proofsource asks ChatGPT, Perplexity, Claude and Google AI for a brand. Gives the topic_id create_prompt needs.
get_visibility
How often ChatGPT, Perplexity, Claude and Google AI mention the brand when buyers ask about its category. by=engine (default): mention rate, share of voice, average position, citation share and sentiment per engine, with the change from the previous period. by=question: each buyer question's mention rate and rank.
get_competitors
The competitors AI answers name for the brand's buyer questions, per engine, with each one's share of voice against the brand and how it changed over the window.
get_citations
The websites AI answers cite for the brand's buyer questions, ranked by share of citations and by how many answers cite them, and where the brand's own site ranks.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Proofsource is categorized under Marketing and uses a remote streaming HTTP/SSE transport. In contrast, DigestSEO mcp Geo — AI Visibility MCP Server belongs to Marketing using local stdio subprocess. Select Proofsource when you need capabilities focused on marketing and DigestSEO mcp Geo — AI Visibility MCP Server when you require tools for marketing.
What moved over the window: the daily mention-rate trend, how much the engines' answers changed, notable changes on competitors' websites, and new pages about the category.
list_fix_opportunities
The gaps that keep AI engines from citing or recommending the brand, each with its evidence and the suggested fix. Gives the gap_id mark_fix_shipped needs.
get_fix_verification
Each fix marked shipped for the brand with its mention rate before and after and a verdict: moved (beyond normal answer churn), within_noise, or awaiting_samples. Fixes marked "Not a fix" are left out; auto-detected page changes carry source auto_detected.
create_prompt
Adds a buyer question to a topic so Proofsource asks it on every engine in the plan from the next run. Counts toward the plan's question limit. Calling again with the same text returns the existing question, never a duplicate.
mark_fix_shipped
Records that a fix shipped, against a gap_id from list_fix_opportunities or a published content_draft_id, so get_fix_verification can measure whether it moved the brand's mention rate. Calling again with the same fix and description returns the existing record.
add_brand
Start measuring a brand: does ChatGPT, Perplexity, Claude or Google AI mention it, and who does AI recommend instead? Give the brand's website (or its app store, Google Maps, YouTube or Instagram link). Proofsource reads the site, picks the buyer questions, and starts the first scan across the AI engines. Reading the site takes 1-2 minutes; if it is still running, call again with the same link and it picks up the same run, never a second one. Returns the brand_id; then use get_scan_status.
get_scan_status
Progress of a brand's first scan after add_brand: the stage, how many AI answers are in out of how many expected, per engine, and when it should finish. Once complete, use get_visibility for the results.
+2 more tools listed on main page
DigestSEO mcp Geo — AI Visibility MCP Server Tools (6)
visibility.check
Latest AI visibility snapshot across all configured engines for a tracked brand, with per-engine scores, winning prompts, and losing prompts.
visibility.history
Time-series history of overall and per-engine visibility, bucketed daily or weekly.
visibility.compare
Share-of-voice comparison against competitor domains, with prompts you win and prompts they win.
visibility.citations
The actual citation events — prompt, engine, response excerpt, citation type, brand URL when present.
visibility.content_gaps
Prioritized Claude-Haiku-generated content recommendations targeting your losing prompts.
visibility.refresh
Manually trigger a fresh scan across every engine whose API key is set.
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