AI chatbot for Blocksy: header builder & content blocks aware
SleekAI maps Blocksy theme mods, header and footer builder rows, custom panels, and the Content Blocks custom post type into the chat system message, so visitors get accurate layout answers. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
♾️ Lifetime License available
A chatbot that respects your Blocksy setup
Blocksy keeps most of its configuration inside theme_mods_blocksy: header builder rows with their items, footer rows, color palettes, content area layout, and per-CPT type settings. Blocksy Companion adds the ct_content_block custom post type with conditional rendering rules in postmeta, plus extensions like the popup builder, the mega menu, and the custom dashboard. A generic chatbot sees none of that, so a question about the off-canvas drawer or a hooked content block produces a guess at best.
SleekAI maps the relevant Blocksy options and the ct_content_block posts into named variables the system message can reference at request time. Display conditions scope each bot to specific post types, taxonomy terms, user roles, logged-in state, or URL patterns, so a help bot can live on the docs side while a marketing bot handles the homepage. Conversation logs land in WordPress with the model, token usage, and origin URL on every message.
Most Blocksy sites also run WooCommerce or a forms plugin like WS Form. SleekAI reads those tables in the same chatbot, so the bot that explains your mega menu can also confirm a product variation or a recent order. Bring your own provider key and the bot stays under your control end to end.
Workflow
How SleekAI fits a Blocksy site
Map Blocksy theme mods
theme_mods_blocksy, and assign variables for palette colors, header builder items, footer rows, and per-CPT type settings.
Add Content Blocks data
ct_content_block with the display condition postmeta. The bot can now describe each hook, popup, and mega menu in plain English at request time.
Scope per section
Bring your own key
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A typical Blocksy site conversation
Comparison
Generic chatbot vs SleekAI for Blocksy
Generic chatbot
- Cannot read Blocksy theme mods or header builder rows
-
Has no access to
ct_content_blockposts or their rules - Misses popup, mega menu, and hook display conditions entirely
- Hallucinates layout details on mobile, drawer, and off-canvas
- Requires a separate sync layer for every Blocksy data source
SleekAI chatbot
-
Reads
theme_mods_blocksyfor header, footer, palette data -
Maps the
ct_content_blockCPT with its rendering rules - Sees popup, hook, and mega menu content blocks in the prompt
- Per-section chatbots via post type, role, and URL conditions
- Logs every chat with model name, token usage, and page URL
Features
What SleekAI gives you for Blocksy
Builder-aware answers
Map header and footer builder rows into variables. The bot can explain which row is sticky, what the off-canvas drawer holds, and how the mobile layout differs from desktop.
Content Blocks support
Pull ct_content_block posts and their display rules into the system message. The bot can describe each block, where it shows, and why it triggered for this visitor.
Palette and CPT settings
Include the active Blocksy palette and per-CPT layout settings in the prompt, so brand and layout questions return the customizer values rather than a generic guess.
Use cases
Where Blocksy sites use SleekAI
Agency client support
Each Blocksy build gets a private bot that knows the header, footer, and content blocks. Clients can ask layout questions without escalating to the agency.
Blocksy + WooCommerce
Combine theme builder data with live products to answer about catalog and layout from the same widget. The bot can explain shop layout decisions in plain English.
Docs and knowledge bases
Run a docs bot that respects the Blocksy sidebar layout, taxonomy filters, and per-CPT settings, so answers reference the real structure of the help center.
The bigger picture
Why builder-aware AI matters on Blocksy
Blocksy attracts site owners who like decisions exposed in a clean customizer. Header builder, footer builder, content blocks, palettes, and per-CPT layout settings all live under theme_mods_blocksy or the ct_content_block post type. That makes Blocksy easy to customize and very hard for a generic chatbot to talk about.
The bot does not know which row is sticky, whether the cart icon shows on mobile, or why a popup appeared after fifty percent scroll. SleekAI closes that gap by mapping those exact options into the chat prompt with variables that resolve at request time. The result is a chatbot that can answer header, footer, popup, and layout questions from real customizer values rather than guesswork.
Add WooCommerce, a forms plugin, or a docs CPT to the same data source list and the bot covers both layout and content with one widget. The site owner brings their own provider key, owns the conversation logs inside WordPress, and can swap models when their workload changes. That is the kind of bot a Blocksy site deserves and the kind that generic widgets cannot deliver on this stack today.
Questions
Common questions about SleekAI for Blocksy
Yes. Blocksy Companion stores them as ct_content_block custom posts with rendering rules in postmeta keys for hooks, popups, and conditions. SleekAI's data sources map those posts and rules into variables, so the bot can explain where each block appears and why.
Yes. The Blocksy header builder stores rows and items inside theme_mods_blocksy under header-related keys. Map them as variables and the system message gets the real items in the left, middle, and right rows on desktop, mobile, and the off-canvas drawer.
No. The free Blocksy theme plus Blocksy Companion is enough for SleekAI to read theme mods and Content Blocks. Blocksy Pro adds extra extensions like advanced popups and white label, which SleekAI can also map if you map them as variables.
 
Yes. The same chatbot can read WooCommerce products, stock, and orders from wp_posts, wp_postmeta, and HPOS tables alongside Blocksy theme mods, so a shop visitor gets both layout and product answers without two separate widgets.
Yes. Display conditions support post type, taxonomy term, user role, logged-in state, and URL pattern. Multibot mode then runs each chatbot in parallel with its own system message and data sources, all under one SleekAI install.
 
SleekAI reads the popup variant of ct_content_block the same way as hooks. If you also map the trigger conditions, the bot can explain that a popup fires on scroll, exit intent, or after a delay, and which pages it covers.
Yes. Variables resolve at request time, so any change you save in the Blocksy customizer shows up in the next chat reply. The same is true for new or updated Content Blocks and their display rules.
 Yes. Conversation logs include the page URL alongside model, token usage, and the full message thread. Filter by URL pattern to spot pages that confuse visitors and use the data to refine the layout or the system prompt.
 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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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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