AI chatbot for Spectra: page-aware chat for Gutenberg blocks
SleekAI reads the rendered Spectra blocks (Info Box, Tabs, FAQ, Pricing, Post Grid, Forms) from the current page and answers visitor questions grounded in the layout in front of them. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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A chatbot that reads your Spectra layout
Spectra's 30+ blocks (Container, Info Box, Tabs, FAQ Schema, Price List, Post Grid, Form, Table of Contents) all serialise into wp_posts.post_content as block markup with the prefix wp:uagb/*. At render time those resolve to real HTML with the actual data the visitor sees. SleekAI reads the rendered page, so an FAQ block becomes a list of question/answer pairs, a Price List becomes plan rows with values, and a Post Grid becomes a small index, all of which land in the chatbot's context.
The data-source wizard also lets you pull ACF fields, custom taxonomies, and any postmeta referenced by a block, so a Tabbed product spec sheet built with Spectra Tabs can pull from the same custom fields that the rest of the theme uses. Display conditions scope different bots by post type, taxonomy term, user role, or URL pattern, so a pricing-page bot and a docs-page bot can run side-by-side under multibot.
Conversations log inside WordPress with the model name, token usage, and the page URL, which makes it cheap to spot where the bot guesses and where it answers cleanly. The JS API and PHP embed open the bot from a custom button or a specific block click, with the current page already loaded as context, so a click on a Pricing block can open the bot with that block's plans already in the prompt.
Workflow
How SleekAI talks to your Spectra site
Point at the rendered page
Map fields that matter
wp:uagb/* blocks by attribute. The bot then references those by name in answers.
Scope with display conditions
Ship with your own AI key
Try it now
Try it on a Spectra pricing page
Comparison
Generic chatbot vs SleekAI for Spectra
Generic chatbot
- Doesn't know what's actually on the current Spectra page
- Can't read Info Box, FAQ, Tabs, or Price List block content
- Hallucinates plan names and prices visitors can see on screen
- No awareness of which page or post type the visitor is on
- Requires manual re-training every time the layout changes
SleekAI chatbot
-
Reads
wp:uagb/*block markup fromwp_posts.post_content - Pulls Price List, FAQ Schema, Info Box, and Tabs into context
- Sees the current page's post type and taxonomy automatically
- Run a different chatbot per template or product (multibot)
- Logs every conversation with model, tokens, and page URL
Features
What SleekAI gives you for Spectra (Ultimate Addons for Gutenberg)
Block-aware answers
Spectra's Price List, FAQ, Info Box, and Tabs blocks all flow into the prompt as structured data, so the bot quotes prices and answers questions using the same numbers the visitor is reading on screen.
Conditional deployment
Combine post type, taxonomy term, user role, and URL rules to run different bots on pricing pages, docs, blog posts, and gated content, without writing code or duplicating bot configs.
Large layouts, real answers
For sites with many product pages or docs, SleekAI can push the rendered content into an OpenAI Files vector store of up to one gigabyte per file. The bot retrieves only the blocks that match the query.
Use cases
Where Spectra sites use SleekAI
Pricing-page sales
Answer plan comparison, billing, and refund questions inline. The bot reads the Price List and FAQ blocks so the numbers are always the ones currently published, even after a price change.
Documentation page Q&A
On a long docs page with Spectra Tabs and Table of Contents, the bot can answer specific section questions and point to the exact heading anchor, instead of returning the whole page.
Landing-page conversion
On a Spectra-built landing page, the bot reads the Info Box features, the testimonials block, and the FAQ schema, so visitor objections get answered with the page's own copy.
The bigger picture
Why this matters for Spectra sites
Spectra makes it easy to ship marketing and product pages that pack a lot of structured content into a single layout: pricing tables, FAQs, info boxes, tabs, post grids, all on the same page. The downside is that a generic chatbot has no idea any of that exists. It guesses at plan names, hallucinates prices, and recommends features the page doesn't actually mention.
SleekAI fixes this by reading the rendered Spectra output, so the bot answers using the same numbers and the same FAQ entries the visitor is reading on screen. A pricing-page bot can quote the Price List exactly. A docs bot can point to the right Spectra Tab and the heading inside it.
A landing-page bot can use the Info Box features as its sales pitch. Display conditions and multibot mode let those three personas coexist on the same install with separate prompts and data scopes. Conversation logging surfaces which blocks confuse visitors so you can either restructure the page or tighten the prompt.
The net effect is a chatbot that stays in sync with the page automatically, without you re-training it every time you ship a layout change.
Questions
Common questions about SleekAI for Spectra (Ultimate Addons for Gutenberg)
Yes. SleekAI parses the rendered HTML of the current page, which means Spectra's Price List, FAQ, Info Box, Tabs, and Post Grid output all land in context. You can also map specific wp:uagb/* blocks by their attributes if you want only certain blocks indexed.
You need an account with at least one supported provider: OpenAI, Anthropic, Google, or OpenRouter. Usage and billing stay on your provider account. A common setup is a cheap fast model for FAQ-style answers and a stronger one for longer docs queries.
Yes. Multibot mode runs several chatbots on one site, each with its own system prompt, data sources, and display conditions. You can have a pricing-page bot, a docs-page bot, and a contact-page bot, all reading the right Spectra blocks for that context.
Yes. The bot can be embedded inside a Spectra popup via the JS API or the PHP embed shortcode. A common pattern is an exit-intent popup that opens the chatbot with a pre-loaded message about the current product or plan.
Loop Builder rendered output is HTML on the page like any other block, so SleekAI reads it the same way. For very large loops (hundreds of items) you can also map the underlying post type directly so the bot retrieves from the database rather than the rendered page.
Yes, and it's a nice fit. The FAQ Schema block stores question/answer pairs in a structured way that the bot can lift directly. You get JSON-LD for Google and a grounded source for the chatbot from the same content.
Spectra's Container block uses flexbox under the hood; the rendered HTML is what the bot reads. Nested containers don't break the parse. If you want only specific containers indexed you can wrap them in a class and target that class in the data source.
Yes. Conversation logging is per chatbot, with user messages, assistant replies, model name, token usage, and the page URL all stored in WordPress. Use it to spot which Spectra blocks confuse users and either restructure the layout or tighten the prompt.
Pricing
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