A chatbot that sits inside the article, between paragraphs and images
SleekAI can render as an inline embedded chat inside post content, taking up its own block of vertical space between paragraphs, images, and headings so the chat feels like a native part of the article. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.
Some chats belong inside the article
Floating launchers and side panels keep the chatbot at the edge of the page. That works for general support and contextual help. It does not work when the chat is supposed to be part of the content itself.
A tutorial that includes a try it yourself moment, a comparison post that lets the reader query the data, or a launch announcement that offers a live demo of the bot being launched all benefit from a chat that sits inline rather than in a corner.
SleekAI’s inline embed mode renders the chat as a block of content inside the post. It flows with the article: a heading above, a paragraph below, the chat in between.
SleekAI was built to render inline as a first class layout option. The chat respects the surrounding column width, supports message presets that match the article topic, and behaves like a content element rather than a third party overlay. Readers experience the chat as part of reading rather than as an interruption to it.
Features
Reads like content
The chat block reads as part of the article rather than as an external widget.
Inherits post context
A tutorial bot inside a step by step article knows which steps the article describes.
Author controlled placement
Writers add the embed where the content calls for it. After a tricky step in a tutorial, between two products in a comparison, or below a launch announcement. The chat is part of the editorial flow rather than a corner widget that competes with the article.
Where it helps
Tutorial try it sections
Embed the chat inline after a tutorial section so readers can try the concept just covered. The bot reads the article context and answers questions specific to the example, turning passive reading into active learning.
Comparison articles
On a head to head comparison post, embed a chat that scopes to both subjects being compared. Readers ask which one fits a niche, and the bot pulls from product data to answer in line with the article’s analysis.
Launch demos
On a launch announcement, embed the chatbot being launched as an inline demo. Readers experience the product directly inside the article that introduces it, dramatically improving conversion from announcement to trial.
How it works
Choose inline mode
The bot keeps the same model, variables, and instructions. Only the rendering layer changes.
Map your data
Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.
Inherit post context
Mapped variables resolve against that context, so a bot inside a product post sees the product’s price and stock data without anyone configuring the post ID explicitly.
Set display conditions
Decide which pages, post types, roles or logged-in states show the chatbot.
Why some chats belong in the page, not on it
There is a meaningful difference between a chatbot that sits on the page and a chatbot that sits in the page. In the page means inside the article body, between paragraphs, taking up its own block of vertical space. Both have their place. On the page suits ambient support that should be available without dominating attention.
In the page suits chats that are the content rather than a helper alongside it. Launch announcements where the chatbot is the thing being announced. Tutorials where readers try the concept just covered. Comparison posts where the chat lets the reader query the data the article analyzes. Documentation where readers ask follow ups in the flow of reading.
In each case the inline embed turns reading into doing. The chat is not a separate experience the reader has to opt into. It is part of the article itself. Authors take editorial responsibility for placement. Engineers map the variables that let the bot ground in surrounding context.
The result is a chat experience that feels like a natural extension of the writing rather than a third party widget bolted on. That difference shows up in engagement metrics, in trust, and in whether readers come back. Inline embeds are a small UI change with outsized impact when the content actually warrants chat being part of the page.
Frequently asked questions
Does the chat take up a fixed height?
The default is a moderate height that fits a typical conversation without dominating the article.
Will the chat scroll inside its block?
Yes. The chat has its own scroll context so the message history scrolls inside the block. The article scrolls normally outside the block. This prevents the bug where chat scroll steals from page scroll, which is a common annoyance in embedded chat layouts.
Can the bot read the surrounding article content?
Yes via variable mapping. Map the post title, excerpt, content, and any custom fields you want the bot to see. The bot then knows the article topic and can ground replies in the surrounding context, which makes the chat feel deeply tied to the article rather than generic.
What about responsive behavior?
The embed inherits the content column width, which is already responsive in most themes. On narrow viewports the chat shrinks accordingly. There are no fixed widths that break on mobile. The chat layout adapts the same way the article layout adapts, because they share the same column.
Can I have multiple inline chats in one article?
Yes. Each instance is independent with its own conversation history.
Which AI providers does it support?
OpenAI, Anthropic, Google and OpenRouter, plus custom OpenAI-compatible endpoints. You bring your own API key and the provider bills you directly.
Where does the chatbot get its answers?
From the WordPress data you map into its instruction: post titles and content, post meta, ACF and Meta Box fields, taxonomies, terms, users and user meta, or a WP_Query. Values resolve on every request.
Can it act on a visitor’s behalf?
No. A chatbot answers questions.
Pricing
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