AI chatbot for Quform: help users complete forms with real field context
SleekAI reads Quform's quform_forms, quform_entries, and quform_entry_data tables, including conditional logic and validation, so the bot helps visitors complete forms and lets admins summarise submissions. Bring your own API key.
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A chatbot that reads your forms and entries
Quform stores forms in quform_forms with the form structure as serialized data, entries in quform_entries with status and metadata, and per-field entry values in quform_entry_data. The structure covers field type, label, conditional logic, validation rules, and notification settings. Each entry references a form ID and has one row per submitted field value in the data table.
SleekAI's data sources map both definition and entry data into named variables. The visitor-facing bot knows the current form's fields with types, labels, and validation, so it can answer field-specific questions in plain language. The admin-only bot can summarise entries across forms, surface conversion patterns, and answer questions like "how many newsletter signups came from the homepage this week" without anyone exporting CSV.
Display conditions scope each bot by post type, taxonomy term, user role, logged-in state, and URL pattern. A landing page form gets its own bot tuned to that offer. An admin in the dashboard gets a different bot with broader data access. Every chat is logged inside WordPress with the model name, token usage, and origin page.
Workflow
How SleekAI plugs into Quform
Map form data
Scope the widget
Bring your own key
Review the logs
Try it now
A typical Quform conversation
Comparison
Generic chatbot vs SleekAI for Quform
Generic chatbot
- Cannot read Quform forms or per-field entry data
- Misses required-field rules and conditional logic on the form
- Has no access to quform_entries for admin reporting
- Invents post-submit flows that contradict the actual notification setup
- Cannot scope per form, per landing page, or admin only
SleekAI chatbot
-
Reads form structure from
quform_formsincluding conditional logic -
Pulls entry data from
quform_entriesandquform_entry_data - Knows validation rules and explains friendly versions of error messages
- Runs separate bots for visitors on the form and admins in the dashboard
- Logs every chat with model, tokens, and the page it ran on
Features
What SleekAI gives you for Quform
Field-by-field help
The system message includes every field on the current form with type, label, and validation. The bot answers field questions in seconds and points the visitor at the exact step they are stuck on.
Conditional logic explained
Quform supports rules that hide or reveal fields based on previous answers. The bot can explain why a new field appeared, which often turns a confusing form into a smooth one without any redesign.
Admin entry summaries
An admin-only bot reads quform_entries and quform_entry_data, so you can ask for this week's lead types or drop-off counts in plain language instead of exporting CSV and writing a pivot table.
Use cases
Where this chatbot earns its keep on Quform sites
Contact and quote forms
Forms that gate a real human follow-up benefit most. The bot calms doubts, clarifies which fields matter, and lifts completion rates without staff involvement.
Multi-step lead forms
Long forms with conditional logic that branches by company size or use case. The bot explains why each new field shows up and what valid answers look like.
Admin dashboards
An admin-only bot summarises entries, surfaces unusual patterns, and answers fuzzy questions about lead quality without anyone exporting data or writing custom reports.
The bigger picture
Why Quform sites need a field-aware bot
Forms decide whether a visitor becomes a lead. A confusing field, an unclear validation message, or a sudden new branch in conditional logic is enough to push a visitor away. The standard questions are predictable.
Why is this required, what does the validation actually want, what happens after I submit, why did this field just appear when I picked the previous option. A generic chatbot does not help. It invents validation rules, contradicts the post-submit flow, and suggests save-and-resume behavior that does not exist on this site.
The result is more abandoned forms and lost leads. Quform already stores the truth in structured tables. quform_forms holds the field definition and conditional logic.
quform_entries and quform_entry_data hold the submissions. SleekAI maps that into the chatbot prompt with point and click data sources, so the chat agrees with the form on every detail. Per-bot display conditions then let you run a visitor-facing form helper and an admin-only entries analyst from the same install, each scoped exactly where it earns its keep and each running on a key the site owner controls.
Questions
Common questions about SleekAI for Quform
Yes. The SleekAI Wizard maps quform_forms, quform_entries, and quform_entry_data into named variables that the system message uses on every request. Variables resolve at request time, so a field added today is available in the next answer.
 Yes. With display conditions set to the page that embeds the form, the bot has the full field definition in context. It can explain fields, clarify error messages, and reassure visitors about how the data is used.
 Yes. Quform's conditional logic rules are part of the form definition. The bot can explain why a field appeared or what hides another, which is one of the most common reasons users abandon longer forms.
 Not by default. It helps the visitor reach the submit button correctly and quickly. The JS API can be used to prefill fields the bot collected during the chat so the visitor only confirms rather than retyping.
 Yes. User-role display conditions let you scope a bot to admins. That bot can answer questions like which forms convert best, which fields get left blank most often, and which lead types come from which traffic source.
 Field types such as file upload, signature, repeater, and rating are mapped by type. The bot can describe what a field accepts and what visitors typically enter without leaking actual uploaded files into the prompt.
 Yes. SleekAI's conversation log lives in WordPress and can be filtered by URL, so you can pair a long-form chat with the resulting Quform entry. That makes it easy to see which fields confuse visitors most.
 Yes. If WPML, Polylang, or TranslatePress translates your form labels and emails, SleekAI reads whichever language is currently active on the request. A separate bot per language with its own tone is a common setup.
 Pricing
More than 1000+
happy customers
Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.
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The Bundle (unlimited sites)
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What’s included
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SleekAI
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SleekByte
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SleekMotion
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SleekPixel
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SleekRank
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SleekView
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