Does AI recommend your brand for the searches that matter?
AIvsRank reads Search Console demand with read-only access, tracks the prompts behind it across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, and shows who gets mentioned and cited.
Sample project
Public sampleWorkflow
Search Console demand
Queries and pages come from read-only Search Console, or from a CSV import when you would rather not connect Google.
Read-only. Never writes to Search Console.
| Query | Pages | Clicks | Impressions | AI mention rate |
|---|---|---|---|---|
| best ai seo tools | example.com/blog/ai-seo-tools | 2.4K | 18.7K | 18.2% |
| how to improve seo rankings | example.com/guides/seo-ranking | 1.6K | 14.3K | 14.7% |
| ai content optimization best practices | example.com/blog/ai-content-seo | 1.1K | 9.8K | 22.1% |
| technical seo checklist | example.com/resources/technical-seo-checklist | 872 | 7.6K | 9.3% |
| what is search visibility | example.com/glossary/search-visibility | 645 | 5.1K | 16.8% |
Answer visibility
Prompts drawn from that demand run across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Each run saves who is mentioned and which sources are cited.
A saved answer is evidence for that run and window.
Versioned diagnosis
Answer visibility, competitors, citations, and source gaps become a manual versioned diagnosis before anyone chooses the work.
A person reviews the diagnosis before it turns into work.
Actions and briefs
The diagnosis becomes audited actions and briefs a person on the team can carry out.
People carry out every step. Nothing is published automatically.
Follow-up
After an action is completed, later runs show directional follow-up signals from the evidence that is available.
Available-evidence validation stays directional. It is not automated proof of cause.
Project reports
Frozen, project-internal report versions collect the evidence window, actions, validation notes, and caveats.
Members print a selected version from the browser.
Showing Demand. The tour steps through the workflow. Click a step to take over.
Sample project with illustrative data. Not a live customer project.
| Path | Use it for | Next |
|---|---|---|
| Public AI Leaderboard | Browse public benchmark collections for market discovery, competitor context, and categories worth turning into private tracking. | Browse categories |
| Visibility Intelligence Workflow | Use the linked features page as the product owner for generic AI rank tracker, AI search rank tracker, and recurring AI search monitoring workflows. See the evidence loopThe broader Demand -> Visibility -> Diagnosis -> Action -> Validation -> Report loop keeps the workflow grounded in reviewable evidence. | Open visibility workflow |
| Pricing and Plan Capacity | Compare AI visibility pricing, rank tracker cost, project limits, prompt limits, monitoring cadence, and saved history on the pricing page before you subscribe. | Compare plans |
AI Chat Agents
Public benchmark visibility scores for the top products in the collection.
Data as of
| Rank | Product | Primary Category | Visibility Score |
|---|---|---|---|
| 01 | ChatGPT Category product visibility | AI Chat Agents | 92.6 |
| 02 | DeepSeek Category product visibility | AI Chat Agents | 91.8 |
| 03 | Claude Category product visibility | AI Chat Agents | 88.8 |
Fresh Updates for AI Search Teams
New GEO guides, product explainers, and ranking context to help you explore before you track.
| Update | Summary | Read |
|---|---|---|
AI Brand Monitoring in ChatGPT and AI Search 10 min read | AI brand monitoring tracks how AI answer engines mention, rank, cite, and compare a brand across recurring prompts, competitors, and engines. | Read more |
How to Run AI Competitor Analysis for AI Search Visibility 12 min read | AI competitor analysis compares how often your brand and competitors appear, rank, get cited, and receive favorable answer positions across AI answer engines. | Read more |
Fragrance AI Brand Rankings: Why a 0.3-Point Gap Changes How Brands Should Read AI Leaderboards 6 min read | The Fragrance AI leaderboard shows a tight visibility race: Chanel leads, but Dior is only 0.3 AI Index points behind. This analysis explains how to read score gaps, mention rates, engine coverage, and public benchmarks without confusing AI visibility with product quality or market share. | Read more |
What is AIvsRank?
AIvsRank is an AI + SEO Visibility Intelligence product built around a first-pass evidence loop. Teams can start from search demand, inspect AI answer visibility, diagnose gaps, create actions or briefs, validate with available evidence, and prepare report-ready summaries.
Public discovery
The public benchmark entry point is the leaderboard : browse categories and industries, explore featured collections, and decide which markets, competitors, and prompts deserve private evidence.
Private monitoring
When demand or benchmark evidence surfaces an opportunity or threat, AIvsRank turns that context into an AI rank tracker workflow on the features page with answer snapshots, source evidence, competitor comparison, diagnosis, actions, available-evidence validation, and report readiness.
Geolyze has moved into AIvsRank. If you found us through the Geolyze name, the current product focus is AI search visibility tracking, public AI leaderboards, and GEO workflows for teams that need to understand how answer engines mention their brand.
From search demand to a report your team can stand behind.
Connect search demand to AI visibility evidence. Connect Google Search Console with read-only access, sync demand manually or on a schedule, or import CSV demand. This is a first-pass workflow, not a full SEO suite replacement. SEO Audit and a controlled Customer Agent can join that loop when their capability gates are active. AIvsRank then moves from Search Console demand and market discovery to monitored AI visibility, versioned diagnosis, human-led action planning, directional validation, and project-internal report review.
Demand
Connect read-only Google Search Console, sync demand on a schedule, import CSV demand, or use public benchmark categories to decide what matters.
Diagnose
Turn answer visibility, competitors, citations, and source gaps into a manual versioned diagnosis before choosing work.
Validate
Review directional follow-up signals around completed actions, then prepare internal report summaries with visible caveats.
Demand -> Visibility -> Diagnosis -> Action -> Validation -> Report
This public-to-private path keeps AIvsRank useful for both early research and recurring monitoring. Teams can inspect market rankings for free, run diagnostic tools, then use the AI rank tracker owner page to connect prompts, answers, citations, and competitor context to manual versioned diagnoses, audited actions and briefs, directional validation, and project-internal report versions once a product or brand deserves deeper tracking. SEO Audit and Customer Agent remain gated modules on that loop, not a second product.
Start with evidence. Track and validate when it matters.
Browse public benchmarks, run free diagnostics, open the visibility workflow when you need private tracking, then compare pricing when plan capacity matters.