AI Chatbot With Intent Classification for WordPress
SleekAI asks the model to emit an intent label alongside each reply, picked from a list you define: pricing, refund, technical, sales, complaint, or whatever fits your site. The label gets logged, surfaces in the admin dashboard, and can trigger webhooks or change which postmeta the bot reads next.
♾️ Lifetime License available
Treating every chat the same wastes the signal
A chatbot that handles pricing, returns, technical support, and partnership inquiries with the same prompt and the same tools eventually becomes mediocre at all four. The prompt grows to cover edge cases for every domain, the model's context fills up with irrelevant policy text, and the replies start trending toward generic. Meanwhile the support team sees one undifferentiated log and has no way to triage what to read first.
SleekAI adds an intent label to every user turn. The model picks from a list you define in the system instruction, like 'pricing', 'refund', 'shipping', 'technical', 'partnership', or 'other'. The label gets parsed out of the structured response and stored in wp_sleekai_conversations alongside the message. The bot can then conditionally include different variables, switch tone, or hand off to a specialist channel based on the intent it just detected.
Generic chatbots stuff everything into one bloated system prompt or rely on rigid keyword routing that breaks the moment a customer phrases their question creatively. SleekAI lets the model itself do the routing, which scales to phrasings the keyword list never anticipated and adapts when you add a new intent without rewriting any code.
Workflow
How intent classification flows through
List intents in the prompt
Parse and store the label
wp_sleekai_conversations. Invalid labels fall back to 'other' and log a warning. The user-facing reply is unaffected and goes through normally.
Conditional context loading
Webhook routing and reporting
Try it now
A typical multi-intent conversation
Comparison
Generic chatbot vs SleekAI for intent classification
Generic chatbot
- Routes by brittle keyword matching that misses synonyms
- One bloated prompt tries to cover every topic at once
- Cannot distinguish pricing from refund or sales intents
- Has no per-intent reporting in the admin log
- Requires manual tagging by humans to enable analytics
SleekAI chatbot
- Model emits an intent label per turn from your custom list
-
Stored in
wp_sleekai_conversationsfor filtering - Conditional variable injection based on detected intent
- Per-intent webhook routing to different team channels
- Reporting by intent: pricing vs refund vs technical
Features
What SleekAI gives you for Chatbots With Intent Classification
Model-based routing
Instead of brittle keyword lists, the model itself decides which intent fits the message. A customer asking 'how much is the bigger plan' lands on the pricing intent without any explicit mention of the word price, which keyword routers miss every time.
Custom intent labels
Define the labels in your system instruction. Common sets cover pricing, refund, shipping, technical, sales, complaint, and other. Add or rename labels for your specific business. The model adapts to the new vocabulary in the next conversation without retraining.
Per-intent reporting
The admin log groups conversations by intent so you can see which topics dominate. If 60% of chats are pricing, your pricing page may need clarity. If refunds spike, something upstream is breaking. Intent reporting turns raw chat volume into product feedback.
Use cases
Where intent classification pays back
Team channel routing
Sales intents fire a webhook to the sales Slack channel. Refunds go to support. Technical questions go to the engineering on-call rotation. One bot covers every inquiry but the right human sees the right chat in real time.
Topic-mix dashboards
Plot intents over time to see where customer attention is shifting. A surge in 'pricing' inquiries after a competitor announcement is a signal to publish a comparison page. A drop in 'technical' is a signal that your docs landed correctly.
Conditional context loading
When intent is 'refund', the bot pulls in the refund policy variable. When intent is 'sales', it pulls in the pricing table. The model gets exactly the context it needs without every bot loading every policy on every turn.
The bigger picture
Why intent is the right unit of routing
Routing chat by URL or by user role is a crude proxy for what the customer actually wants. A visitor on the pricing page asking a technical question still needs a technical answer, and a logged-in customer asking about refunds needs the refund flow even if they normally chat from the dashboard. Intent classification gets at the actual purpose of the message, which is what a routing decision should hinge on.
The reporting side of intent is equally valuable. Without it, a thousand chats look like a thousand chats. With it, you see that 40% are pricing, 25% are technical, 20% are sales-readiness questions, and 15% are scattered.
That distribution tells you where the friction in your funnel is. If pricing is dominant, your pricing page is not doing its job. If technical is dominant, your docs are missing something.
If sales-readiness is high, your sales page needs more proof. The bot becomes a feedback loop for the whole site instead of a Q&A widget in the corner. Over time, watching how the intent mix shifts after a launch or a homepage rewrite is one of the cleanest signals available for whether content changes actually moved customer attention in the direction intended.
Questions
Common questions about SleekAI for Chatbots With Intent Classification
You list the intent labels in the system instruction along with a one-line description of each. The model then picks one per turn from the list. Common starter sets are pricing, refund, shipping, technical, sales, complaint, and other. Customize freely for your domain by editing the prompt.
The 'other' fallback handles messages that don't fit cleanly. You can also instruct the model to pick the most likely match if forced. For genuinely ambiguous cases, the bot stays general in its reply and tags the intent as 'other', which still surfaces in reporting so you know how often it happens.
Yes. Each turn is classified independently, so a chat can start as pricing and shift to technical when the customer asks a follow-up. Both intents get logged. Reporting can show conversations where intent shifted, which often correlates with successful sales conversions or thorough support resolutions.
Only if you make it. By default the model classifies and replies in the same completion without changing tone. You can configure conditional variable injection that pulls different context depending on the intent, like loading the refund policy only when intent is 'refund'. This keeps prompts lean.
A decision tree forces predefined paths. Intent classification is fuzzier: the model picks from a list but understands paraphrasing, context, and follow-ups. You get the routing benefits of a tree without locking customers into rigid menus. The two can also be combined, with intent as the entry point and a tree for downstream steps.
Yes, via webhook handoff. When a particular intent fires, the webhook can launch a specialized bot in the same chat session or route the conversation to a human. The multibot feature also supports running multiple bots on one page with display conditions, so intent can drive which bot is foregrounded.
A handful per turn. The label itself is one to three tokens and the structured wrapper adds maybe 20-40 more. On a conversation that already runs 1000+ tokens, the overhead is negligible. The savings from lean per-intent context loading usually more than offset the small classification overhead.
SleekAI validates the returned label against your defined list. Invalid labels fall back to 'other' and log a warning. This rarely happens with frontier models that follow structured instructions reliably, but the fallback keeps the bot working even if the model occasionally invents a category.
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.
Lifetime ♾️
Most popular
EUR
once
- Unlimited websites
- Lifetime updates
- Lifetime support
...or get the Bundle Deal
and save €250 🎁
The Bundle (unlimited sites)
Pay once, own it forever
Elevate your WordPress site with our exclusive plugin bundle that includes all of our premium plugins in one package. Enjoy lifetime updates and lifetime support. Save significantly compared to buying plugins individually.
What’s included
-
SleekAI
-
SleekByte
-
SleekMotion
-
SleekPixel
-
SleekRank
-
SleekView
€749
Continue to checkoutBrowse more
- Claim Status Chatbot
- Store Locator Chatbot
- Discovery Call Pre Qualification
- Savings Calculator Chatbot
- Lead Magnet Delivery Chatbot
- Scholarship Eligibility Chatbot
- Volunteer Shift Chatbot
- Reservation Booking Chatbot
- calculator pages
- Password Reset
- checklist pages
- Policy Renewal Chatbot
- Search Results Pages
- Visitor Check-In Chatbot
- Loyalty Tier Chatbot