A·K
← All tools
The selection guideSource-backed research ↗
AI Search Monitoring / AI-search visibility monitoring and GEO analytics

GEO Metrics

AI-search visibility tracking, citation intelligence, and GEO recommendations

AI visibility monitoringCitation intelligenceAgency reportingMCP analytics
Why it stands out

Public prices and quotas make initial commercial comparison possible.

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

↗ Best for

In-house SEO, content, and brand teams tracking a fixed prompt panel.

! Know before you buy

No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue impact.

01 / Editorial assessment

Is GEO Metrics for you?

The AICiteKit take

GEO Metrics is a credible new AI-search monitoring candidate for teams that want public plan limits, named AI surfaces, citation/source analysis, and an MCP path for agency or agent-assisted workflows. The evidence is stronger for advertised scope than for efficacy: official pages show €80/€245/€690 monthly tiers and plan quotas, while LLM Pulse supplies category methodology rather than a GEO Metrics test. Customer testimonials and the 3,000+ user claim are vendor-selected. Consider a fixed-prompt pilot, but require raw answer exports, model/version coverage, MCP permissions, retention, trial terms, and a causal measurement design before purchase.

A good fit if you are…

  • In-house SEO, content, and brand teams tracking a fixed prompt panel.
  • Agencies managing multiple brands and client reporting.
  • Teams wanting citations and recommendations alongside visibility metrics.
  • Operators willing to validate dashboard observations against raw answers and analytics.

Consider another option if…

  • Buyers needing a permanently free or unlimited tracker.
  • Researchers seeking public sampling code, model versions, or confidence intervals.
  • Teams requiring independently audited accuracy or ROI evidence.
  • Organizations assuming all homepage engines and integrations are included in every tier.

02 / Scope, not promises

Features & coverage

Public plans

Freelance €80/€72, Pro €245/€220, Enterprise €690/€621 monthly/monthly-equivalent annual prices.

Archived research · Official pricing checked 2026-10-19; confirm taxes and contract termsResearch excerpt · Pricing and limits
Named AI surfaces

Freelance lists ChatGPT, AI Overviews, AI Mode, DeepSeek, Grok, Copilot, Perplexity, and Gemini; Pro and Enterprise add Claude.

Archived research · Research dated 2026-10-19; confirm model versions, locations, and languagesResearch excerpt · AI visibility and citation analysis
Usage limits

Freelance: 20 prompts, 10 reports, 30 keyword research, 10 sentiment analyses, 2 users; Pro: 100/25/100/25/10; Enterprise: 300/100/400/100/unlimited users.

Archived research · Official pricing checked 2026-10-19; confirm quota definitionsResearch excerpt · Pricing and limits

AI visibility and citation analysis

Official pages describe monitoring mentions, rankings, citations, sentiment, competitors, and recommendations across named AI surfaces. Sampling and model-version details are not fully public.

Archived research context ↗

Plan quotas and agency reporting

The pricing matrix publishes prompt, report, keyword, sentiment, and seat limits, plus exports and Looker Studio. White-label scope, retention, and client isolation require confirmation.

Archived research context ↗

MCP and API access

GEO Metrics documents api.geometrics.app/mcp, OAuth authentication, and read-oriented queries for visibility, quotes, sentiment, and rankings. API is shown for Pro and Enterprise; exact fields and quotas remain buyer checks.

Archived research context ↗

Evidence boundary

No checked source provides a product-specific rating sample, controlled benchmark, citation precision/recall study, or causal outcome evidence. LLM Pulse is category context from a competing vendor.

Archived research context ↗

A focused evaluation workflow
  1. Define brands, prompts, competitors, markets, languages, and AI surfaces.
  2. Run the configured monitoring panel and inspect mentions, citations, sentiment, and rankings.
  3. Use keyword research, source discovery, and recommendations to identify gaps.
  4. Export reports or connect permitted integrations; authenticate MCP through OAuth.
  5. Re-run a stable panel after documented changes and compare raw answers with analytics.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-19 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Public plans

Freelance €80/€72, Pro €245/€220, Enterprise €690/€621 monthly/monthly-equivalent annual prices.

Archived research · Official pricing checked 2026-10-19; confirm taxes and contract termsResearch excerpt · Pricing and limits
Usage limits

Freelance: 20 prompts, 10 reports, 30 keyword research, 10 sentiment analyses, 2 users; Pro: 100/25/100/25/10; Enterprise: 300/100/400/100/unlimited users.

Archived research · Official pricing checked 2026-10-19; confirm quota definitionsResearch excerpt · Pricing and limits
Your buying checklist

Get these answers first.

  • Which exact models, versions, locations, languages, and prompt samples are included by plan?
  • Can buyers export complete answers, citations, timestamps, prompts, and model metadata?
  • What are the limited-trial duration, conversion, overages, retention, deletion, and cancellation terms?
  • Which MCP fields, API endpoints, quotas, and write permissions are included?
  • Are agency workspaces, white-label reports, client isolation, and Looker Studio included at the contracted tier?

Pricing context & qualifications

Research checked 2026-10-19. Official pricing shows Freelance €80/€72, Pro €245/€220, and Enterprise €690/€621 monthly/monthly-equivalent annual prices, with a 10% annual discount. Prompt, report, keyword, sentiment, user, engine, export, API, and MCP boundaries are displayed, but trial duration, overages, retention, and cancellation require confirmation.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Public prices and quotas make initial commercial comparison possible.
  • Named AI surfaces, citations, sentiment, and competitor workflows are clearly documented.
  • MCP connector and OAuth workflow are described publicly.
  • Exports and agency-oriented integrations create a practical trial checklist.

Reasons to pause

  • No reproducible sampling protocol or complete model/version matrix was found.
  • No product-specific independent rating sample or controlled efficacy benchmark was found.
  • Trial duration, overages, retention, and cancellation terms are not stated in checked pages.
  • Vendor testimonials, logos, and 3,000+ user claim are vendor-selected evidence.
  • LLM Pulse is category context from a competing vendor, not a product test.

No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue impact.

05 / Choose by the job

Alternatives to consider

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

Another direction / 01

LLM Pulse ↗

Prompt tracking and share-of-voice analysis are the primary need.

Another direction / 02

Peec AI ↗

A focused recurring AI-search monitoring workflow is preferred.

Another direction / 03

Profound ↗

Enterprise answer-engine intelligence and reporting are preferred.

Another direction / 04

Otterly.AI ↗

Lower-cost recurring monitoring and audits matter more than MCP and agency surfaces.

06 / What we can substantiate

Reviews & evidence

No product-specific independent rating sample or controlled test was found. LLM Pulse supplies category methodology from a competing vendor, while testimonials, logos, and the 3,000+ user claim are vendor-selected. Evidence supports scope and displayed pricing, not efficacy or outcomes.

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
GEO Metrics official homepage ↗Official product page
GEO Metrics pricing ↗Official pricing and plan matrix
GEO Metrics MCP integration ↗Official integration documentation
LLM Pulse GEO metrics guide ↗Independent category methodology; competing vendor; not product validation
GEO tool directory snapshot ↗Directory discovery audit; page not in index

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.

Evidence checked 2026-10-19. Official pages support product identity, advertised monitoring workflows, named AI surfaces, displayed quotas, integrations, and MCP connection steps. LLM Pulse provides category methodology but is a competing vendor and not a GEO Metrics test. Vendor testimonials, logos, and the 3,000+ user claim are vendor-selected. No checked source proves citation precision, repeatability, causal visibility lift, traffic, conversion, or revenue.

Pilot checks

  1. Export raw answers, citations, prompts, timestamps, model/version, and region.
  2. Test MCP/API permissions and reproduce a sample metric manually.
  3. Confirm trial, quota, retention, deletion, cancellation, and agency terms.
  4. Compare observations with analytics and a documented change log without causal inference.
Research notes & unresolved discrepancies
  • Official homepage, pricing, and MCP pages checked 2026-10-19.
  • LLM Pulse was used for category methodology and explicitly treated as competing/vendor context, not product validation.
  • CitedIndex URL was checked as discovery audit and was not in the directly fetched index page.
  • No independent product-specific rating sample or controlled benchmark 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.