Long Answer

Why Track Competitors' AI Search Performance?

AI platforms generated 1.1 billion referral visits in 2025. Users are 47% less likely to click links when AI summaries appear. LMArena has 3+ million monthly users comparing AI models. This creates three competitive risks: visibility displacement, recommendation influence, and share-of-voice erosion.

Enterprise-Grade Platforms

SE Ranking — 4.8/5 G2 rating. Tracks mentions, links, and citations across Google AI Overviews, Gemini, and ChatGPT with historical data and daily updates.

BrightEdge — 4.6/5 rating. Deep predictive AI visibility modeling with real-time AI Overview monitoring and SGE forecasting. Higher pricing, targets large brands.

Siftly — Dedicated GEO platform. Customers report 340% average increase in AI mentions within 6 months, 31% shorter sales cycles, 23% higher lead quality.

Specialized AI Visibility Solutions

Nightwatch — Most versatile. Combines LLM monitoring, search engine tracking, prompt research, and citation-level sentiment analysis. Tracks both AI responses and real-time web searches AI models perform.

AIO Tracker — 4.5/5 rating. Real-time Google AI Overview monitoring with predictive capabilities, cached AI responses, share-of-voice metrics.

Otterly.ai — Starting at $29/month. Accessible entry point with GEO audits analyzing why content may be missing from AI answers.

Key Metrics to Track

• Mention frequency: How often competitors appear (leading brands achieve 30-50% mention rates)
• Position within responses: First-position recommendations get 1.5-2x more consideration
• Citation source analysis: Which websites AI systems cite when recommending competitors
• Sentiment tracking: Positive, neutral, or negative mention context
• Share of voice: Percentage of relevant AI responses mentioning each competitor