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The selection guideSource-backed research ↗
AI Search Monitoring / Open-source MCP AI visibility tracker

DigestSEO mcp-geo

Open-source MCP server for tracking brand citations across AI search surfaces

AI visibility measurementCitation intelligenceMCP integrationsSelf-hosted GEO operations
Why it stands out

Public implementation and MIT license make the deployment path inspectable.

Source review: · Public-source research, not a hands-on test

↗ Best for

Developers and technical SEO teams wanting local or self-hosted GEO workflows.

! Know before you buy

No checked source proves citation precision, score calibration, repeatability, customer satisfaction, causal visibility lift, traffic, or revenue outcomes.

01 / Editorial assessment

Is DigestSEO mcp-geo for you?

The AICiteKit take

mcp-geo is a credible technical option for teams that prefer an inspectable MCP workflow over a hosted visibility dashboard. Its repository documents local installation, configurable provider keys, privacy boundaries, npm distribution, and optional remote deployment; the official audit page adds a defined EUR 99 point-in-time diagnostic. Evidence is stronger for implementation and stated commercial scope than for efficacy: no checked source proves score calibration, citation accuracy, repeatability, customer satisfaction, traffic lift, or revenue impact. Run a bounded pilot with frozen prompts, providers, models, markets, raw answers, and citations.

A good fit if you are…

  • Developers and technical SEO teams wanting local or self-hosted GEO workflows.
  • MCP users who can supply and govern their own AI-provider credentials.
  • Small agencies seeking a fixed-scope audit with prompt, competitor, and citation evidence.

Consider another option if…

  • Buyers seeking a turnkey no-key SaaS dashboard.
  • Organizations requiring independently audited visibility measurement or enterprise SLAs.
  • Teams expecting guaranteed rankings, citations, traffic, or revenue outcomes.

02 / Scope, not promises

Features & coverage

Documented surfaces

ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, and other configured providers; exact coverage depends on keys and returned results.

Archived research · Official repository and Glama checked 2026-10-30Research excerpt · Quick facts
Evidence workflow

Brand and competitor prompts, AI answers, mentions, citations, source evidence, visibility comparisons, and optional fixed-scope audit reporting.

Archived research · Official repository and audit page checked 2026-10-30Research excerpt · Workflow and core features
Public pricing

Self-hosting has no license fee; official audit page lists EUR 99 one time.

Archived research · Official audit page checked 2026-10-30Research excerpt · Pricing and limits

AI visibility and citation observations

Run configured prompts and inspect returned brand mentions, competitors, cited URLs, and provider evidence where available.

Archived research context ↗

Local, self-hosted, and MCP deployment

Use the npm package locally or self-host a configured Worker, with provider credentials and operational controls owned by the operator.

Archived research context ↗

Fixed-scope AI Visibility Audit

Request a EUR 99 one-time audit for one brand, up to three competitors, and 20 buyer-intent prompts; delivery and evidence boundaries must be confirmed.

Archived research context ↗

Evidence boundary

No checked source establishes citation accuracy, customer satisfaction, causal lift, traffic, or revenue outcomes.

Archived research context ↗

A focused evaluation workflow
  1. Define brand, aliases, competitors, prompts, providers, markets, and collection settings.
  2. Run MCP visibility tools and inspect returned answers, mentions, citations, and source evidence.
  3. Compare observations by prompt, provider, competitor, and date while recording configuration.
  4. Use the fixed-scope audit or repeat comparable local runs before interpreting change.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-30 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Public pricing

Self-hosting has no license fee; official audit page lists EUR 99 one time.

Archived research · Official audit page checked 2026-10-30Research excerpt · Pricing and limits
Delivery model

MIT-licensed local npm package, optional self-hosted Cloudflare Worker, and separate one-time audit service.

Archived research · Official repository and pages checked 2026-10-30Research excerpt · Quick facts

Additional costs & usage boundaries

Delivery model

MIT-licensed local npm package, optional self-hosted Cloudflare Worker, and separate one-time audit service.

Archived research · Official repository and pages checked 2026-10-30Research excerpt · Quick facts
Your buying checklist

Get these answers first.

  • Which providers, models, regions, languages, quotas, and result types are available in this deployment?
  • What provider data-use, local storage, Worker secret, logging, retention, and deletion controls apply?
  • How do automated mentions and citations compare with human adjudication on a stratified sample?
  • What audit delivery, tax, revision, payment, and report-retention terms apply to the EUR 99 service?

Pricing context & qualifications

The official audit page checked 2026-10-30 lists EUR 99 one time for one brand/domain, up to three competitors, 20 buyer-intent prompts, and up to five configured surfaces where usable results are returned. Self-hosting is MIT-licensed but incurs operator costs.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Public implementation and MIT license make the deployment path inspectable.
  • Local execution and provider-key model provide a clearly documented privacy boundary.
  • MCP, npm, and optional remote Worker paths support technical workflows.
  • The EUR 99 audit has explicit prompt, competitor, and evidence scope.

Reasons to pause

  • No independent product-rating sample or controlled efficacy benchmark was found.
  • Provider, model, region, language, quota, retention, and result-completeness boundaries require validation.
  • Self-hosting transfers infrastructure, provider, security, and operations costs to the buyer.
  • The paid audit is a point-in-time diagnostic, not an implementation service or outcome guarantee.

No checked source proves citation precision, score calibration, repeatability, customer satisfaction, causal visibility lift, traffic, or revenue outcomes.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

Elmo ↗

A broader open-source visibility application with cloud tiers and dashboard reporting is preferred.

Another direction / 02

Cheap Seats ↗

A smaller self-hosted open-source workflow is preferred.

Another direction / 03

CiteLadder ↗

Site health and reviewable AI-readiness actions matter more than MCP provider orchestration.

Another direction / 04

GEO Metrics ↗

A hosted monitoring dashboard and agency reporting are preferred.

06 / What we can substantiate

Reviews & evidence

Public evidence is stronger for product identity, implementation, deployment, and stated audit scope than for customer satisfaction or measurement efficacy.

AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.

Sources & original verification dates

SourceEvidence typeChecked
mcp-geo GitHub repository ↗Public vendor-controlled MIT implementation
DigestSEO mcp-geo landing page ↗Official product page
mcp-geo AI Visibility Audit ↗Official pricing and service page
Glama GEO MCP listing ↗Independent MCP catalog metadata; not efficacy validation
MCP Registry reference ↗Public registry discovery signal; not product validation

Original review evidence & date context

Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.

Medium confidence for product identity, implementation, self-hosting, and public audit terms; low confidence for citation accuracy, calibration, repeatability, customer satisfaction, traffic, and revenue outcomes.

Research notes & unresolved discrepancies
  • Glama is independent catalog corroboration, not a product test or rating sample.
  • MCP Registry presence is a discovery signal, not independent efficacy validation.
  • No product-specific independent hands-on test or controlled outcome study was found.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.