🔍 Traditional SEO Engine
BM25 + Domain Authority (simulating Google)
🤖 AI Answer Engine
Vector Search + ACRI Re-ranking (simulating Perplexity/SearchGPT)
Type a query → see why Google's #1 result gets zero citations from AI agents.
Algorithm: BM25 lexical scoring with Term Frequency Saturation + Document Length Normalization.
Ranking: Final Score = (BM25 × 0.35) + (Domain Authority × 0.45) + (ACRI × 0.15) + (Freshness × 0.05)
Massive, authoritative sites win here — just like on Google.
Algorithm: TF-IDF vector similarity with Reciprocal Rank Fusion (RRF).
Re-ranking: ACRI Multiplier penalizes Token Bloat, missing Schema, low extractability.
Clean, structured content wins — simulating how LLMs select citations.
Toggle: Click "⚡ Combined View" to see the RRF-fused ranking between both engines.
Provenance: ▸ = from SEO only, ◂ = from GEO only, ◂▸ = found in both.
Rank Delta: ↑3 means 3 positions better than in that engine alone.
Your site may be #1 on Google but hard to read for AI agents.
The sandbox reveals exactly which technical factors cause the gap and what to fix.