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Meev
Track brand visibility and earn citations in AI search.
What it does
• Monitors brand mentions, citations, and visibility scores across major conversational AI search engines. • Identifies specific prompts and content gaps where competitors outrank your brand in AI answers. • Drafts optimized content utilizing a strict multi-point quality gate to block low-grade copy. • Connects directly with CMS platforms like WordPress and Ghost for scheduled publishing and fast indexing.
Why it works
Multi-engine tracking captures brand discoverability across fragmented generative search platforms simultaneously. Human-in-the-loop approval workflows ensure AI-drafted content meets strict quality standards before going live. Actionable citation paths identify publishers already trusted by AI models for targeted outreach. Unified dashboard architecture eliminates the context switching between traditional SEO metrics and AI visibility data.
Category: Marketing & Growth
Team Size: 2-10
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As of 2026
Marketing & Growth
Revenue: $100k-$1M ARR
Track brand visibility and earn citations in AI search.
Overview
Meev is an AI growth agent designed to measure and improve how brands appear in generative search engines like ChatGPT, Claude, Gemini, and Perplexity. It tracks multi-engine brand mentions, uncovers visibility gaps, and drafts quality-gated content fixes for user approval. The platform helps marketing teams adapt to generative engine optimization by bridging visibility data with automated publishing and citation outreach.
Popularity: 1,000+ customers
HQ: Global / Remote
Funding status: Bootstrapped
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: React, Next.js, Node.js, Python, PostgreSQL
Platform: Web
Integrations: Google Search Console, WordPress, Ghost, Wix, Notion
Founder story
Meev was founded in 2025 by Judy Zhou after noticing that real customers were arriving from AI recommendations while standard tracking tools showed her brand as invisible. Operating from a remote-first setup, the platform was built to solve the lack of actionable visibility data across modern large language models.
What it does
- • Monitors brand mentions, citations, and visibility scores across major conversational AI search engines
- • Identifies specific prompts and content gaps where competitors outrank your brand in AI answers
- • Drafts optimized content utilizing a strict multi-point quality gate to block low-grade copy
- • Connects directly with CMS platforms like WordPress and Ghost for scheduled publishing and fast indexing.
Who it's for
- Brand Managers
- Content Marketers
- SEO Professionals
- Digital Agencies
Why it works
- Multi-engine tracking captures brand discoverability across fragmented generative search platforms simultaneously
- Human-in-the-loop approval workflows ensure AI-drafted content meets strict quality standards before going live
- Actionable citation paths identify publishers already trusted by AI models for targeted outreach
- Unified dashboard architecture eliminates the context switching between traditional SEO metrics and AI visibility data.
Growth strategies
- Targeted positioning for marketing leaders shifting strategies from classic SEO to generative engine optimization
- Freemium diagnostic tools offering instant visibility scores to drive organic acquisition
- Community launches across maker platforms highlighting real- world AI traffic recovery
- Direct outreach to agencies seeking white- label reporting for multi-client visibility management
Alternatives
Comparison overview
- Meev tracks multi-engine brand citations across generative models like ChatGPT and Claude and executes quality-gated content fixes.
- Alternative legacy tools measure traditional keyword rankings and backlinks without evaluating conversational AI search retrieval.