AI chatbot for JetSmartFilters: turn questions into live filtered URLs
SleekAI reads JetSmartFilters definitions, including filter type, query var, and data source, so the bot can translate "show me black under 200" into the exact filtered URL your AJAX provider supports. Bring your own API key.
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A chatbot that speaks your filter URLs
JetSmartFilters stores each filter as a custom post type entry, typically jet-smart-filters, with postmeta for the filter type, the linked query variable, and the data source (taxonomy, post meta, JetEngine field, or a custom callback). The plugin does not store submissions in a table. Filters are applied at query time, with the active state encoded in the URL as query parameters that the AJAX provider reads on every change.
SleekAI's data sources map each filter's _filter_type, _query_var, and option list into the chatbot prompt. That means the bot understands that color is a checkbox filter writing ?color=black, that price is a range filter writing ?price=0,200, and that brand is a select filter writing ?brand=acme. A natural-language question becomes a single canonical filtered URL that the bot can return as a link.
Display conditions scope each bot by post type, taxonomy term, user role, logged-in state, and URL pattern. On a catalog page the bot helps narrow results. On a property listing page it speaks beds, baths, and price. Every chat is logged inside WordPress with the model name, token usage, and origin page, so you can see which filter combinations real visitors actually want.
Workflow
How SleekAI plugs into JetSmartFilters
Map filter definitions
Scope the widget
Bring your own key
Review the logs
Try it now
A typical JetSmartFilters catalog conversation
Comparison
Generic chatbot vs SleekAI for JetSmartFilters
Generic chatbot
- Does not know which JetSmartFilters are configured on this page
- Cannot map plain words to the right query variable and value
- Returns broken or generic links instead of the active AJAX URL
- Misses option lists from taxonomy, postmeta, and JetEngine sources
- Cannot scope per provider or per archive template
SleekAI chatbot
- Reads JetSmartFilters CPT entries with type, query var, and source
-
Resolves option lists from taxonomies,
postmeta, and JetEngine - Returns a single canonical filtered URL the AJAX provider will honor
- Scopes per archive, per provider, or per user role
- Logs every chat with model, tokens, and the page it ran on
Features
What SleekAI gives you for JetSmartFilters
Speech to filter URL
The bot turns natural phrases like "black, under 200, in stock" into a single URL with the correct query vars. Visitors stop fighting with checkbox columns and just describe what they want.
Real option lists
Option values come from the actual data source: a taxonomy, a postmeta field, or a JetEngine relation. The bot never invents a brand or a category that does not exist in your catalog.
Stack and undo filters
Multi-turn chat naturally adds or removes filters. The bot can say what is currently applied, drop one constraint, and rerun the query without losing the rest of the selection.
Use cases
Where this chatbot earns its keep on JetSmartFilters sites
Catalog and shop archives
Help shoppers narrow long product grids by speaking color, price, size, brand, and stock instead of hunting through filter columns on mobile.
Real estate listings
Property archives with beds, baths, price band, and city filters become conversational. The bot returns a saved-search style URL the visitor can bookmark.
Job and directory boards
Multi-faceted directories with role, location, and seniority filters get a search box that finally understands plain English and returns the right page.
The bigger picture
Why JetSmartFilters sites need a filter-aware bot
Faceted archives are powerful and unforgiving. Visitors who know what they want race through the filter columns. Visitors who do not give up and leave.
On mobile, even a confident shopper bounces between four columns of checkboxes to combine a color, a size, a brand, and a price band. The result is high exit rates on the archives that should be doing the most work. A generic chatbot cannot help.
It does not know which filters exist on this page, which query vars they read, or which values are valid. It returns generic links that the AJAX provider ignores, and contradicts the filter labels next to it. JetSmartFilters already has the metadata that solves this.
Each filter is a CPT entry with a type, a query var, and a data source. SleekAI maps that into the chatbot prompt with point and click data sources, so the bot turns a sentence like "black backpacks under 200 with a laptop sleeve" into the exact filtered URL the provider expects. Per-bot display conditions then let you run a catalog bot, a real estate bot, and a directory bot from the same install, each scoped to its archive and running on a key the site owner controls.
Questions
Common questions about SleekAI for JetSmartFilters
Yes. The SleekAI Wizard maps the JetSmartFilters CPT entries and their postmeta (type, query var, data source, options) into named variables that the system message uses on every request. If you add a filter, the next chat already knows about it.
 It writes the canonical filtered URL with the right query vars and explains the result. The standard JetSmartFilters AJAX provider on the page renders the actual list. If you prefer, the JS API can also trigger the provider directly without a full reload.
 That is fine. SleekAI's data sources read taxonomies, postmeta, and JetEngine fields directly. Option lists that change with new content stay current in the prompt, so the bot never offers a brand or category that was just removed.
 Yes. JetSmartFilters supports multiple providers on the same page (catalog, related products, a JetEngine listing). Display conditions plus a small piece of context in the prompt let the bot target the right provider when it returns the URL.
 Yes. The current URL and its query string can be passed into the prompt, so the bot understands what is already applied. From there it can add, remove, or replace filters without resetting the entire search.
 Only if the data source is misconfigured. The system prompt is set up to refuse values that are not in the mapped options list, and the conversation log shows any drift quickly so you can tighten the system message.
 Yes. Conversation logging stores user messages, replies, model name, token usage, and the page URL. Patterns surface fast, which often translates into improvements in the filter columns themselves, like merging duplicate brands or renaming a confusing option.
 Yes. If WPML, Polylang, or TranslatePress translates your taxonomies and JetEngine fields, SleekAI reads whichever language is currently active on the request, so option labels and URLs respect the active language.
 Pricing
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