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.
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.
Each audit queries 6 AI engines (ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Mistral) with high-intent buying prompts and reads every engine response. Methodology details: eurekanav.com/methodology.
AI engine outputs are non-deterministic. The same prompt can return different answers across sessions and time. Specific rankings or claims in this post reflect what we observed at the time of audit, not a permanent state. Re-audit dates and any material updates are reflected in this post's visible last-updated tag.
If you spot a claim in this post that you cannot trace to a source or methodology, email don@eurekanav.com — we will provide a source or correct the claim within 24 hours.
Sources & references
Each external claim in this post links to a primary source. Where we cite our own observations, we disclose sample size (currently n=4 published audit teardowns plus broader audit work). For methodology details and our 6-engine scoring approach, see eurekanav.com/methodology.
If you spot a claim in this post that you cannot trace to a source above or to our methodology, email don@eurekanav.com — we will provide one or correct the claim within 24 hours.
