A fact-by-fact comparison of Chatwoot and PostgreSQL — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.
Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026
Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.
CLAUDE
Chatwoot
0.8%
PostgreSQL
2.6%
GEMINI
Chatwoot
0.9%
PostgreSQL
3.9%
GROK
Chatwoot
1.1%
PostgreSQL
7.2%
CHATGPT
Chatwoot
0.9%
PostgreSQL
2.8%
PERPLEXITY
Chatwoot
0.8%
PostgreSQL
1.8%
Features
Platforms
Does AI recommend Chatwoot or PostgreSQL more?
PostgreSQL is recommended more often: it appears in 3.2% of sampled AI answers versus 0.9% for Chatwoot, measured across the live AI engines over a rolling 4-week window.
Which AI engines were used to compare Chatwoot and PostgreSQL?
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.
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