AI-assisted installation and setup

Let your AI install and set up Kea Search Pro

Use your own AI to install Kea Search Pro, configure search and merchandising, and adapt the interface to your store.
AI-configured Kea Search Pro storefront results Claude Code showing the enabled Kea Search Pro setup and maintenance skills
Install from scratch Start before Kea Search Pro is installed.
Configure the catalog Set up search, categories, facets, synonyms, and merchandising.
Adapt the storefront Match layouts and product-card templates to the store.
Preview before launch Review the result before shoppers see it.

Your AI does the setup

Your AI installs and configures Kea Search Pro

Connect Claude Code, Codex, or another supported AI client to the store's MCP server. The setup skill handles installation and configuration, while the maintenance skill supports later improvements.

Claude Code MCP tools leading through Search Pro settings and merchandising controls to the configured storefront
Use the AI you already have Work with ChatGPT, Claude Code, Codex, or another supported client and keep your existing model account.
Set up search for the store Configure searchable fields, priorities, categories, synonyms, facets, merchandising, and analytics around the catalog.
Match the storefront Adapt the search layout and product-card templates while keeping the store's supported product actions.

Recommended installation flow

Install, configure, preview, go live

The recommended way to start with Kea Search Pro lets AI handle the work while Preview keeps the decision with you. Nothing reaches shoppers until you approve it.

  1. 01 Start with your AI Add the Kea Search Pro skills to a supported AI client and connect it to the store you want to configure.
  2. 02 Install and configure Let the AI install Kea Search Pro, inspect the catalog, and configure search, categories, facets, synonyms, and merchandising.
  3. 03 Review in Preview Check the complete search experience, responsive layouts, filters, product cards, and supported store actions before anything goes live.
  4. 04 Approve and go live Publish only when you are satisfied, then let the workflow verify the live storefront again on desktop and mobile.

Search setup with AI

Let AI configure search and merchandising for your catalog

Your AI starts with the store's catalog, language, searchable fields, categories, and existing rules. It uses Kea Search Pro skills and authorized MCP tools to prepare settings that fit the store instead of applying the same generic configuration everywhere.

  • Choose searchable product fields and their relevance priorities.
  • Configure categories, storefront facets, and synonyms.
  • Set category priorities and merchandising rules around the store's goals.
  • Use search analytics when the store has enough shopper activity.
  • Keep deliberate manual settings instead of replacing them with generic output.
Kea Search Pro applying pin, boost, bury, and hide actions to adjusted product results

Preview before launch

Keep the live store unchanged until you are ready

Preview is the recommended default. Your AI prepares and checks the candidate on desktop and mobile while the live storefront stays unchanged. When you are satisfied, you approve publication and the workflow checks the live storefront again.

  • Keep the live storefront unchanged while the AI prepares the candidate.
  • Review product images, links, filters, cards, and supported product actions.
  • Publish only after an explicit approval.
  • Use built-in self-diagnostics and preserve the native storefront if production verification fails.
Kea Search Pro Preview beside desktop and mobile production verification

Storefront customization with AI

Let AI adapt the search interface and product templates to your store

The workflow examines the store's current theme before changing the search interface. It adapts supported layouts, colors, responsive columns, and product-card templates so search feels like part of the existing storefront.

  • Configure the search widget, classic results page, or a combined experience.
  • Adapt desktop and mobile grids, filters, layouts, and product-card templates.
  • Preserve supported add-to-cart, quantity, Wishlist, Quick View, price, and badge behavior from the theme.
  • Keep the candidate in Preview when the source structure cannot be adapted and checked safely.
Standard and horizontal Kea Search Pro product-card templates beside an advanced custom HTML card

Install and set up Kea Search Pro with your AI

Get the module, connect ChatGPT, Claude Code, Codex, or another supported AI client, then review the complete result in Preview before you publish it.

AI-assisted Kea Search Pro setup FAQ

Installation, your AI client, search configuration, storefront customization, Preview, and publication.

Can I use ChatGPT, Claude Code, or Codex to install Kea Search Pro?

Yes, when the selected client supports the required MCP connection and store workflow. You use your own AI client and model account. Kea Labs provides the Kea Search Pro skills, controlled Search Pro tools, workflow, and compatibility guidance.

Can the AI install and set up Kea Search Pro from scratch?

Yes. The complete workflow can start with a fresh PrestaShop store, install Kea Search Pro, provision dedicated Search Pro access, inspect the catalog, configure search, adapt the interface, build Preview output, publish when instructed, and verify production.

What can the AI configure in search?

The supported workflow covers searchable fields, relevance priorities, categories, merchandising rules, category priorities, synonyms, storefront facets, search analytics, and the checks required before applying a change.

Can the AI customize the search interface to match the store theme?

Yes, for a supported theme structure. The workflow inspects a real category page and adapts layouts, responsive columns, colors, product-card templates, and observed native product actions. Hummingbird and Classic have independent acceptance evidence.

Can I review everything before it goes live?

Yes. UI work defaults to Preview and is checked on desktop and mobile. Publication requires an explicit instruction, uses the normal release-candidate pipeline, and is followed by a fresh production storefront verification.