Embed the chatbot inside the post, where the question actually is
SleekAI adds an AI chatbot for Inline Chatbot to your WordPress site. It answers from the content you choose, such as posts, pages, custom post types, post meta, taxonomies and user data, with your own OpenAI, Anthropic, Google, or OpenRouter key.
A floating bubble is the wrong shape for long content
A floating chat bubble is the right shape for a marketing page. The visitor is browsing, the bubble is available, and the click cost is low. On a long-form article, a tutorial, or an install guide, the shape inverts.
The visitor is reading, the bubble covers content, and any click introduces a context switch back to a small window that no longer shows the part of the article they were reading. The inline embed solves this by placing the chat next to the content, in the flow, at the breakpoint where the question is most likely to arise.
SleekAI’s inline mode renders the chatbot as a first-class block of the page. The chat occupies a defined slot in the article and the user can scroll past it or interact with it without losing their place.
The non-obvious benefit is multiple embeds per page. A docs page can host an inline embed at the top that helps with prerequisites, and another at the bottom that collects ‘what was unclear’ feedback. Each embed has its own ID, system prompt, and conversation log. Neither knows about the other, so the threads do not collide.
Features
In the flow
The embed renders as a block of the page, not as an overlay. Users scroll past it or interact without losing their place.
Multiple per page
Run a ‘help me get started’ embed at the top of a tutorial and a ‘what was unclear’ embed at the bottom. Each has its own ID, prompt, and transcript, so the threads stay separate even when both fire on the same page.
Answers from your data
Map post titles, content, post meta, taxonomies or a WP_Query into the instruction, and the bot answers from what your site actually publishes.
Where inline beats floating
Install and setup guides
Readers ask ‘where do I put X’ inside the guide, with the actual instructions one paragraph above. The inline embed grounds the answer in the surrounding steps rather than guessing.
Long tutorials
Multi-section tutorials place embeds at section breaks so a question on step 5 lands next to step 5, not in a chat overlay that has hidden the relevant code block.
Tool and calculator pages
An inline chat alongside a calculator or generator explains the inputs, the outputs, and the edge cases.
How an inline embed reads the page
Map your data
Choose the posts, fields, taxonomies or users the bot should know and reference them in the instruction.
Set display conditions
Decide which pages, post types, roles or logged-in states show the chatbot.
Configure the prompt
Each embed instance has its own system prompt and model. A docs embed can be terse and technical while a tutorial embed walks through steps. Prompts live alongside floating-widget prompts in the SleekAI bot list.
Add more than one
Run two or three embeds on a long page if it makes sense. Each gets its own ID and transcript. SleekAI’s multibot infrastructure keeps the threads separate so the bottom-of-page feedback embed cannot see the top-of-page tutorial chat.
Why inline placement changes who uses the chat
The change from a floating widget to an inline embed is not cosmetic. It changes who uses the chat. Floating widgets get clicked by people who could not find what they wanted and decided to ask. Embeds get used by people who are already in the flow of the content and have a follow-up question.
The first is a recovery interaction; the second is an enhancement of the reading experience. They produce different conversations too. Floating widgets receive mostly navigational questions (‘where do I find X’, ‘how do I contact support’). Embeds receive mostly content-specific questions (‘this command failed with output Y’, ‘does step 5 work the same way on Windows’).
The second category is more valuable both to the user, who gets a real answer, and to the team, who learns where the docs need work. The reading experience matters here too. A floating widget that opens on top of an install guide hides the very thing the user came for.
The user dismisses the widget, scrolls back to find the line they were reading, and the friction of asking has tripled. An inline embed sits at a natural break in the article, asks for nothing, and is available without interrupting. That is what changes the rate at which people actually ask. Inline placement is not just a better embed; it is a better moment to ask.
Frequently asked questions
How does the embed handle long pages on mobile?
Because the embed is part of the page flow, the user can simply scroll past it rather than dismissing a covering overlay.
Does it work inside page builders?
Yes. Elementor, Bricks, Divi, Beaver Builder, Oxygen, and Breakdance all accept the shortcode inside any text or HTML widget.
What about classic-editor sites?
The shortcode works in any classic-editor field and any text widget.
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.
Can I control where the chatbot appears?
Yes. Display conditions cover post type, post, post status, post template, taxonomy, term, user role, logged-in state and WordPress conditional tags such as front page, archive, search and 404.
Are conversations stored?
Only if you turn on logging for that chatbot. SleekAI then stores each visitor message and each completed reply, which you read and delete on the chatbot’s Logs page, and a retention period can delete old logs.
Pricing
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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