SiteMind AI Research Lab

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.

Featured Benchmark Report

Peer-Audited Empirical Study1,000 Live Domain Queries9 min read · Published 2026-08-28

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 Architectures: SiteMind, Chatbase, Intercom Fin, CustomGPT, Naive GPT-4o

Read Full Benchmark Study

SiteMind 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.

Experience Benchmarked Quality

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