Empirical benchmarks & technical AI studies.
We conduct peer-audited benchmark studies evaluating RAG grounding accuracy, adversarial prompt injection resilience, streaming latency, and true total cost of ownership across modern website AI architectures.
2026 Website AI Chatbot Accuracy, Latency & Hallucination Benchmark
An Empirical Evaluation of 1,000 Live Customer Inquiries Across 5 Production AI Architectures
99.4%
Citation Grounding
SiteMind verified source grounding rate (vs 71.2% Naive Baseline)
0.6%
Hallucination Rate
Fabricated claims on out-of-domain traps (vs 28.8% Naive Baseline)
780ms
Time-to-First-Token
Sub-second SSE streaming latency (vs 2,850ms Competitor Average)
$7.45
Cost per 1,000 Chats
Flat 1:1 credit cost (vs $990.00 on Intercom Fin $0.99/res)
Tested: SiteMind, Chatbase, Intercom Fin, CustomGPT, Naive GPT-4o
Read Full Benchmark StudySiteMind Research Standards & Methodology Invariants
100% Reproducible Test Suites
All prompts, scoring rubrics, and evaluation harnesses are documented and runnable via CLI (`pnpm geo:eval-lab`).
Zero Synthetic Inflation
Tested queries reflect real-world production support logs with authentic typos, ambiguous queries, and edge cases.
Full-Stack Physical Latency
Latency figures measure real client browser token arrivals over HTTP/2 SSE connections, not idealized server logs.
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