AI Chatbot With CMS-Aware Routing for WordPress
SleekAI uses post type, taxonomy term, page template, URL pattern, user role, and login state to decide which chatbot loads on each page, so a docs page, a product page, and a blog post each get the bot whose system prompt fits the context. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.
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One bot for the whole site is the wrong abstraction
Most chatbot tools assume one bot per site. You write one system prompt, point it at one set of data, and that bot runs everywhere. The reality of a WordPress site is that pages have radically different contexts. A docs page wants a bot that quotes documentation precisely. A pricing page wants a sales bot that qualifies leads. A blog post wants a content-aware bot that answers questions about that specific post. A WooCommerce product page wants a product expert. A logged-in member area wants a bot that respects member tier. Running one bot for all of these means compromising every single context.
SleekAI does multibot. You define as many chatbots as you want, each with its own system prompt, data mapping, model choice, and routing rules. Routing uses display conditions: post type, taxonomy term, page template, URL pattern (with wildcards), user role, login state, and custom logic via filter hooks. When a visitor lands on a page, SleekAI evaluates the conditions and loads the first matching bot. The page gets the bot whose system prompt fits the context, with no manual setup per page.
The routing layer is the part that turns 'AI chatbot' into 'AI presence everywhere on the site'. A docs section can run a docs bot that quotes the current page and related articles. The same site's blog can run a blog bot that handles questions per post. The shop runs a product bot that reads the current WooCommerce product. The member area runs a member bot that recognizes tier. Five bots, five system prompts, one plugin, automatic routing. No JavaScript to maintain, no condition trees in a dashboard.
Workflow
How CMS-aware routing works
Define your bots
Set display conditions
Set priority order
Visitor navigates, bots swap
Try it now
A typical day with CMS-aware routing
Comparison
Generic chatbot vs SleekAI with CMS-aware routing
Generic chatbot
- One bot per site, no per-page system prompt routing
- Hand-rolled JavaScript to swap bots between pages
- No native awareness of WordPress post types or templates
- Cannot route by user role, login state, or member tier
- Different bots require different plugin installs or accounts
SleekAI chatbot
- Routing by post type, taxonomy, template, and URL pattern
- Per-bot system prompt, model, and data mapping
- User role, login state, and capability-based routing
- Custom filter hooks for fully programmatic routing logic
- Unlimited bots on a single SleekAI license
Features
What SleekAI gives you for Chatbot With CMS-Aware Routing
Display condition engine
Choose from a UI of conditions or write a custom filter. Post type, taxonomy, page template, URL pattern with wildcards, user role, login state, custom user meta. Conditions can be ANDed or ORed. The first matching bot loads.
Unlimited bots per site
Run as many bots as your contexts demand. Docs bot, product bot, blog bot, sales bot, support bot, member bot, after-hours bot. One license. No per-bot pricing. The only practical limit is how many distinct system prompts you actually want to maintain.
Per-bot configuration
Each bot has its own system prompt, model, API key, temperature, data mapping, display style, opening message, and presets. A docs bot can use GPT-4o-mini for speed, a sales bot can use Claude Opus for quality. Cost and capability tuned per bot, not per site.
Use cases
Where CMS-aware routing matters
Documentation sites
Docs sites with hundreds of pages run a docs-focused bot on /docs/* that quotes the current page and links to related articles. The same site's marketing pages get a sales-focused bot. Two prompts, two contexts, one plugin.
WooCommerce stores
Product pages get a product expert bot that knows the current product, related products, and stock. Cart pages get a cart-recovery bot. Account pages get a logged-in support bot that knows order history. Each context, its own tuned conversation.
Membership and SaaS sites
Public marketing pages get a sales bot. Logged-in member areas get a member bot that respects tier and knows current usage. Admin pages get an internal helper bot. Routing by user role and login state, no manual page-by-page setup.
The bigger picture
Why one bot per site is the wrong default
Most chatbot products were designed for landing pages and ecommerce checkouts. They assumed a relatively narrow set of conversations per site and built around 'one bot, one prompt' as the model. WordPress sites don't fit that mold.
A real WordPress install has marketing pages, a blog, docs, a shop, a member area, and a handful of niche sections, each with completely different conversation needs. Trying to write one system prompt that works for all of them produces vague, mediocre responses everywhere. SleekAI's multibot with CMS-aware routing fixes this without making the configuration burdensome.
The routing UI uses WordPress's own primitives: post types, taxonomies, templates, URLs, user roles, login state. Anyone who knows their site can set up routing in minutes. There's no separate condition language to learn, no JavaScript to write, no per-page meta box configuration.
Each bot is independent in every meaningful way. Its system prompt, model, API key, temperature, data mapping, presets, and visual style are all separate. You can run a fast cheap model on the high-volume docs bot and a slow expensive model on the low-volume sales bot, optimizing cost and quality per context.
You can use OpenAI for one bot and Anthropic for another. You can put different teams in charge of different bots through WordPress role-based permissions on the SleekAI admin pages. The economic model amplifies the routing's value.
SleekAI doesn't charge per bot, so the marginal cost of adding a fifth or tenth bot is your time. Most sites grow into 4-6 bots over the first year as they realize each context deserves its own tuned conversation. The result is genuinely better chat across the whole site, instead of one mediocre bot pretending to handle everything.
Questions
Common questions about SleekAI for Chatbot With CMS-Aware Routing
Post type, taxonomy term, page template, URL pattern with wildcards, user role, login state, custom user meta key/value, and any custom filter hook you register. Conditions combine with AND or OR logic. The first matching bot in priority order loads, so you control fallback behavior precisely.
 Each bot has a priority value. SleekAI evaluates bots in priority order and loads the first match. So a 'logged-in admin' bot with high priority overrides a 'logged-in member' bot, which overrides the default site-wide bot. Drag-and-drop reordering in the admin UI makes this easy to manage.
 Yes. A bot can have an explicit exclude condition (skip if URL matches /legal/*, for example) or the page can have a meta box that disables all bots. Conversely you can set a bot to load only on specific URLs and nothing else. Full control over presence.
 You can build A/B test conditions via a custom filter that returns true 50% of the time based on a stable visitor identifier. SleekAI loads bot A or bot B accordingly and logs which one served each conversation, so you can compare conversion rates downstream.
 By default no. Each bot has its own conversation log per visitor, so the docs bot doesn't see the sales bot's transcript. You can opt in to shared context if it makes sense for your flow, in which case the new bot receives a summary of the previous bot's conversation as context.
 Define two bots with the same data mapping and model but different system prompts. SleekAI treats them as separate, so routing decides which one applies. Useful for tone variations (formal/casual) or language (English/Spanish) where everything else is identical.
 No. Only the matching bot's script and config load on a given page, so the page weight is the same as a single-bot setup. The condition evaluation happens server-side during template render, which adds milliseconds at most. No client-side condition evaluation that could slow the page.
 
Native. SleekAI reads register_post_type output, so any CPT you have appears in the routing UI. The same applies to custom taxonomies. If you add a new CPT like 'recipes', it shows up in the bot routing dropdown and you can create a recipe-bot scoped to recipes only.
Pricing
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