AI chatbot for Ajax Search Pro: live search, smarter answers
SleekAI sits next to your Ajax Search Pro instance, reads its result set on every query, and answers in one paragraph. Pulls fields from wp_posts, wp_postmeta, and your custom search source tables, all with your own OpenAI, Anthropic, Google, or OpenRouter key.
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When live results aren't enough to convert
Ajax Search Pro is fast and pretty. Type a few letters and the dropdown fills with thumbnails, prices, and excerpts. But anyone running it on a large catalog or knowledge base sees the same pattern in the logs: thousands of queries that produce results, but never a click. The visitor saw a list of ten posts or products and could not decide.
SleekAI runs alongside the search box and re-uses the same Ajax Search Pro query. Result titles, custom field values from wp_postmeta, prices, and stock from WooCommerce all feed the system message. The model writes one paragraph that picks the strongest match and explains why, then offers the next two as alternatives with their links. Visitors stop scrolling and start clicking.
Custom sources matter too. Ajax Search Pro lets you build search instances against custom tables and external content. SleekAI inherits those instances rather than rebuilding them, so the chatbot can answer from a directory plugin, a forum table, or a custom post type without a parallel sync. The chatbot's conversation log tells you which queries the language model could not resolve, so the editorial team has a clear shortlist to fix.
Workflow
How SleekAI plugs into Ajax Search Pro
Pick the instance
Map result fields
Bring your own key
Watch the logs
Try it now
A typical Ajax Search Pro store conversation
Comparison
Generic chatbot vs SleekAI for Ajax Search Pro
Generic chatbot
- Builds its own index that drifts out of sync with your site weekly
- Ignores your Ajax Search Pro instance settings and weighting
- Doesn't read custom sources or external table searches you configured
- Hallucinates prices, stock, and shipping when the index is stale
- Can't tell you which queries the visitors never resolved
SleekAI chatbot
- Calls your existing Ajax Search Pro instance, no parallel index
- Inherits per-instance weighting, term boosts, and post-type rules
- Reads custom-table sources Ajax Search Pro already supports
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Pulls live price and stock from
wp_postmetaand wc tables - Logs every conversation so you can fix unresolved queries
Features
What SleekAI gives you for Ajax Search Pro
Same instance, smarter output
Reuses the search instance you already tuned in Ajax Search Pro, so weighting, term boosts, and excluded post types stay in force. The bot just turns the result set into an answer instead of a dropdown.
Custom and external sources
If you point Ajax Search Pro at a custom table, a forum, or a directory plugin, the chatbot reads it too. There is no second integration to build, the bot inherits whatever the search box already searches.
Explain top three, not ten
The bot writes a single paragraph for the top match and lists two alternatives with prices and links. Visitors stop scrolling through ten results and start clicking the one the bot recommends.
Use cases
Where Ajax Search Pro sites use SleekAI
Large catalogs
WooCommerce stores with thousands of SKUs. The bot reuses your Ajax Search Pro filters and ranks by your own weighting, then explains the top result instead of showing ten.
Documentation portals
Long doc sites where the same question gets asked in five different phrasings. The chatbot writes one canonical answer and links the original article.
Directory sites
Listing or directory plugins that hook into Ajax Search Pro as a custom source. The bot answers location and category queries with the listing fields the visitor needs to choose.
The bigger picture
Why search-aware AI matters for Ajax Search Pro
Ajax Search Pro is one of the most powerful live search add-ons in WordPress. It indexes custom fields, supports custom post types, hooks into WooCommerce, and even runs against external tables. Site owners spend hours tuning weights, term boosts, and per-instance settings to get the dropdown to feel right.
The payoff is high quality result lists for almost any query, but a result list is still a result list. On a large catalog or a deep docs site, visitors face ten items and a decision they often will not make. Many will keep typing or simply leave.
Layering a generic chatbot on top normally requires a second index, a re-tagged content set, and a slow drift between what the language model thinks the site contains and what is actually published. SleekAI avoids that. It calls the same Ajax Search Pro instance the dropdown calls, inherits the same configuration, and asks the model to write one paragraph that picks the strongest match and notes a couple of alternatives.
The result is fewer dead-ends, faster decisions, and a conversation log that quietly maps the queries your catalog still does not answer.
Questions
Common questions about SleekAI for Ajax Search Pro
Yours. SleekAI calls the instance you already configured in Ajax Search Pro and re-uses every weight, term boost, and exclude rule. There is no duplicate index to maintain, and changes you make in Ajax Search Pro show up in the next chatbot answer with no extra step.
Yes. Ajax Search Pro supports custom sources, including external tables and plugin-specific stores. SleekAI inherits whatever sources the instance is pointed at, so a directory plugin, a forum, or a custom post type is searchable without a new integration.
It reads them on each request. SleekAI maps WooCommerce post fields, postmeta keys like _regular_price and _stock, and HPOS order data into named variables that resolve at request time. A price change in WP Admin shows up in the next reply without re-indexing.
No. The chatbot adds one call to Ajax Search Pro per user turn, which is the same call the dropdown already makes. The model request runs from the visitor's browser or your edge worker depending on setup, so server load on the WordPress host stays small.
Yes. SleekAI multibot lets each chatbot have its own system message, data sources, and display conditions. A common setup is a store bot tied to product Ajax Search Pro instances and a docs bot tied to a knowledge base instance, both on the same site.
Yes. Ajax Search Pro's own visibility logic, password protection, and exclusion rules pass through. Private posts and member-only listings stay out of answers unless the visitor is logged in with the right role on WordPress.
The chatbot replies that there is no match in the catalog and offers the closest categories or substitutes it could find. The query is logged so you can audit what visitors are actually looking for and decide whether to extend the catalog or rephrase product titles.
Yes. Re-summarising a search result set is a light task. Many Ajax Search Pro sites run the chatbot on GPT-4o-mini, Claude Haiku, or Gemini Flash for well under a cent per conversation. SleekAI lets you pick per-bot, so a heavier model handles checkout questions only.
Pricing
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