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SiliForm
AI-built conversational forms with fake-answer detection and question-level drop-off analytics
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https://siliform.ai
About SiliForm
SiliForm builds conversational forms — one question at a time, phrased in light of what the respondent already answered — rather than a wall of fields with a logic tree behind it. You describe the goal in plain language (lead form, survey, onboarding flow, hiring screen) and the AI generates the full conversational structure in seconds, which you can then edit block by block. Branching is handled by the model rather than by rules you maintain. Two features go beyond what most form builders do, and they are the reason to look at it. The first is AI input validation: format rules can confirm an email looks like an email, but SiliForm flags plausible-but-fake answers — disposable domains, test@example.com, sequential phone numbers, keyboard-walk gibberish, copy-pasted placeholder text — before they reach your dataset, and it does so with non-blocking nudges so genuine unusual answers are never rejected outright. The second is question-level drop-off analytics: rather than a single completion percentage, it retains in-progress drafts as data instead of discarding abandonment, and shows the exact question where drop-off spikes. Integrations are notably not paywalled — HubSpot contact creation, Zapier to 3,000+ apps, raw webhooks, email alerts, CSV/Excel export, and basic analytics are included on the free plan. Unlimited forms and unlimited responses are also on free, with a 10MB file-upload cap.
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