Connect search demand to AI visibility evidence
AIvsRank is a first-pass workflow for Demand -> Visibility -> Diagnosis -> Action -> Validation -> Report. Start from CSV / GSC export demand, inspect AI answer visibility, turn gaps into actions, validate with available evidence, and prepare report-ready summaries without treating it as a full SEO suite replacement.
Review the visibility workflow , compare plan capacity , run free diagnostics , or browse the public benchmark .
Visibility Console
AI Ranking Collections
Model coverage
Top entity
Public leaderboards
AI Index 92.3
Trend signal
Public AI Leaderboard
Browse public benchmark collections for market discovery, competitor context, and categories worth turning into private tracking.
Browse categoriesVisibility 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 inside the broader Demand -> Visibility -> Diagnosis -> Action -> Validation -> Report loop.
Open AI rank tracker owner pagePricing 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 plansIndustry
AI Ranking Collections
Public benchmark visibility scores for the top brands in the collection.
| Rank | Product | Primary Category | Visibility Score |
|---|---|---|---|
| Leaderboard previews will appear here as soon as a featured category or industry has ranked entities available. | |||
Fresh Updates for AI Search Teams
New GEO guides, product explainers, and ranking context to help you explore before you track.
AI search visibility checker for enterprise AI: who appears when buyers ask for AI transformation partners?
Enterprise buyers are starting to use ChatGPT, Perplexity, Gemini, Google AI Overviews, and other AI search engines to build supplier shortlists. This article explains why an AI search visibility checker matters for enterprise AI brands, what metrics to track, and how AIvsRank GEO helps measure mention rate, average rank, product-layer recognition, competitor context, and source visibility.
Read more 7 min readWhat the Leaderboard Showed When Olive Garden's AI Position Started to Weaken
This article does not explain a single recommendation result. It uses a casual-dining question window to show how Olive Garden's position in AI recommendation structure started to weaken: not full disappearance, but weaker front-row presence in broad recommendation questions and stronger retained presence in value-related ones.
Read more 10 min readAI Search Is Entering Its PageRank Moment
ChatGPT citations are not just search results. They are the output of a second selection layer that decides which sources deserve attribution in AI-generated answers.
Read moreAI search visibility platform
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 demand to report readiness
Start with demand and benchmarks, then close the evidence loop
AIvsRank gives teams a practical progression from imported search demand and market discovery to monitored AI visibility, versioned diagnosis, human-led action planning, directional validation, and project-internal report review.
01
Demand
Start from CSV / GSC export demand or public benchmark categories to decide what matters.
02
Diagnose
Turn answer visibility, competitors, citations, and source gaps into a manual versioned diagnosis before choosing work.
03
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.
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.