AI chatbot for SiteOrigin Page Builder: answers grounded in your row and widget content
SleekAI reads the rows and widgets SiteOrigin stores in panels_data, so the chatbot answers with the real text on the page rather than an invented summary. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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A chatbot grounded in your SiteOrigin page structure
SiteOrigin Page Builder stores page layouts as JSON in the panels_data postmeta field, with rows, columns, and widgets each represented as objects with type and content. SleekAI's Wizard reads panels_data as structured data, so the chatbot's system message receives an ordered list of widgets per page with their text content extracted, instead of trying to make sense of the rendered HTML.
That keeps the bot grounded in the page's real structure. When a visitor asks about a service in a SiteOrigin Editor widget, the model has the widget's heading and body in the prompt. When a question maps to a button widget, the bot can quote the button text and the linked URL. Edits show up automatically because the data source reads panels_data at request time, so an editor's change is live in chat on the next message.
Multibot lets you scope a different chatbot per template or page family, with display conditions for post type, URL pattern, taxonomy term, and user role. For larger sites, push extracted widget text into an OpenAI Files vector store of up to one gigabyte per file. Conversation logs save inside WordPress, so the team can audit how visitors phrase questions and where the page copy falls short.
Workflow
How SleekAI plugs into SiteOrigin Page Builder
Read panels_data
panels_data postmeta key so the chatbot has structured access to every row, column, and widget on each page, in document order.
Map widget types
Bring your own key
Refine the copy
Try it now
A typical SiteOrigin Page Builder conversation
Comparison
Generic chatbot vs SleekAI for SiteOrigin Page Builder
Generic chatbot
- Sees rendered HTML instead of the real widget tree
- Loses widget structure across long pages
- Can't quote button text or linked URLs
- Mixes ad-hoc widget output with body text
- No way to scope per template
SleekAI chatbot
-
Reads
panels_datapostmeta as structured JSON - Extracts widget content in document order
- Per-template bots via display conditions
- OpenAI Files vector store for large sites
- Logs every conversation in WordPress
Features
What SleekAI gives you for SiteOrigin Page Builder
Widget-aware parser
The data source reads panels_data directly, walks the rows and columns, and extracts widget content as structured fields, so the prompt receives clean text in document order.
Per-template bots
Run different chatbots for service pages, blog posts, and the shop using display conditions on post type, URL pattern, and category, all under the same SleekAI install.
Audit logs
Every conversation saves in WordPress with model name and page URL. Use them to find questions your current widgets answer poorly and tighten the copy from the SiteOrigin editor.
Use cases
Where SiteOrigin sites use SleekAI
Local service sites
A bot on a service site reads the rows that describe each offering, plus the hours and contact widgets, so visitors get specific answers about pricing, scheduling, and coverage area without leaving the page.
Long landing pages
On long SiteOrigin landing pages, the bot answers detail questions inline, which keeps visitors who would otherwise scroll away long enough to convert or book a call.
Editor search
An admin-only bot indexes widget text across all SiteOrigin pages, so editors can find which page mentions a specific phrase without remembering the title or URL.
The bigger picture
Why reading panels_data beats parsing rendered HTML
SiteOrigin Page Builder has been around long enough that many sites carry years of pages built with it. The plugin's quiet strength is that it stores layouts as structured JSON in panels_data rather than baking them into the rendered HTML. That makes life much easier for anything that wants to read the page later, including a chatbot.
The data source can walk the rows and widgets directly, ignore presentation, and surface only the text content the model needs. Reading the rendered HTML, by contrast, would force the bot to guess at section boundaries, mix widget output with theme decoration, and lose the natural structure the editor sees. The result on the conversation side is a bot that quotes the right widget rather than the headline of the wrong row.
The result on the editing side is that any improvement to the page copy reaches the chat immediately, because the data layer that powers the page also powers the bot. That is a quiet but consistent reason to keep using SiteOrigin on sites where this matters.
Questions
Common questions about SleekAI for SiteOrigin Page Builder
Yes. SiteOrigin Page Builder stores layouts in a postmeta field called panels_data as JSON. SleekAI's Wizard reads that field directly and walks the rows, columns, and widgets, exposing each widget's text content as a structured variable in the chatbot's system message.
The Wizard parser handles the common SiteOrigin Widgets bundle plus SiteOrigin Editor widgets. Third-party widgets that store their content as standard fields inside panels_data also work. Widgets that rely on dynamic shortcodes can be added through the parser configuration.
Yes for SiteOrigin's accordion widget, which stores each panel's title and content inside panels_data. The bot receives the panels in order and can answer questions that map to a specific panel without confusing it with the surrounding copy.
Button widgets store both the label and the linked URL in panels_data. The bot can quote the button text and confirm where it points, which is useful when visitors ask whether the CTA goes to a booking page, a pricing page, or an external service.
The Wizard reads panels_data only on chat send, not on every page load, so there is no impact on the page's render performance. SiteOrigin's own page rendering remains unchanged. The bot widget loads asynchronously and does not block paint.
Yes. Display conditions cover post type, URL pattern, taxonomy term, user role, and logged-in state. A service-page bot, a blog bot, and a shop bot can each run on their own template with separate system prompts and data sources.
 
Those tools change layout and presentation but leave the underlying panels_data alone. SleekAI reads the data layer, not the rendered output, so the bot keeps working regardless of which SiteOrigin editor mode the team uses to lay out pages.
For sites with many pages, push the extracted widget text per page into an OpenAI Files vector store of up to one gigabyte per file. The model retrieves only the pages that match a query, so the prompt stays small and the chatbot scales without ballooning cost per chat.
 Pricing
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