A fact-by-fact comparison of Intercom and Stonly — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.
Measured by Orbator · methodology owner Henrik Telle · window ends Sep 6, 2026
What AI recommends — by engine
Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.
Intercom is recommended more often: it appears in 2.2% of sampled AI answers versus 0.1% for Stonly, measured across the live AI engines over a rolling 4-week window.
Which AI engines were used to compare Intercom and Stonly?
Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.
Own one of these products? Claim your profile to keep its facts accurate.
Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.