A fact-by-fact comparison of Aha! and Airtable — 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.
Airtable is recommended more often: it appears in 1.5% of sampled AI answers versus 0.2% for Aha!, measured across the live AI engines over a rolling 4-week window.
How much do Aha! and Airtable cost?
Aha!: Aha! Develop: $9 a month. Airtable: Team: $20 a month (free tier available). Pricing is sourced from each vendor's own page and re-verified periodically.
Which AI engines were used to compare Aha! and Airtable?
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.
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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.