Which form builders do AI engines recommend?
We tested 8 form builders by asking ChatGPT, Perplexity, Gemini, Claude, DeepSeek, and Mistral: "What's the best online form builder?"
The Full Ranking
- Typeform — 5/6 (not mentioned by Mistral)
- Jotform — 5/6 (not mentioned by Mistral)
- Google Forms — 5/6 (not mentioned by Mistral)
- Paperform — 3/6 (not mentioned by Perplexity, Claude, Mistral)
- Tally — 1/6 (not mentioned by ChatGPT, Perplexity, Gemini, Claude, Mistral)
- Fillout — 1/6 (not mentioned by ChatGPT, Gemini, DeepSeek, Claude, Mistral)
- Formbricks — 0/6 (invisible to all engines)
- Youform — 0/6 (invisible to all engines)
Tally's Visibility Problem
Tally has become a popular Typeform alternative, especially among startups and indie makers. But AI engines barely know it exists — only 1 out of 6 engines mentions Tally when users ask for form builder recommendations.
Meanwhile, Typeform and Jotform are mentioned by 5 out of 6 engines. Google Forms achieves the same score despite being a much simpler tool.
The Newer Tools Are Invisible
Formbricks and Youform score 0/6 — completely absent from AI recommendations. Fillout manages just 1/6. The pattern is consistent: newer form builders with smaller content footprints are invisible to AI discovery.
How to Fix Low AI Visibility
For form builder companies scoring poorly, the path forward involves building structured comparison content, earning third-party reviews and mentions, implementing schema markup, and creating documentation that helps AI engines understand your product's capabilities.
Explore the Full Data
See all 204 SaaS tools ranked across 6 AI engines at eurekanav.com/leaderboard. Free AI visibility audit available at eurekanav.com.
Methodology
Same query to all 6 engines. Score = mention count (0-6). Temperature 0.3, max 1200 tokens. April 2026.
Methodology Disclosure
Rankings and citations in this post are based on EurekaNav's internal audit dataset (4 published deep teardowns: Fireflies.ai, Linear, Otter.ai, Notta.ai — all available at /case-studies) plus broader audit work across additional SaaS targets. Sample sizes are small. Where we cite specific patterns, they are qualitative observations from a limited sample, not measured industry-wide statistics.