AI chatbot for WP All Export: explain export structures and field maps
SleekAI maps WP All Export saved exports, field mappings, and run history into chatbot variables. Bring your own OpenAI, Anthropic, Google, or OpenRouter key so token usage stays on your provider account.
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Help users build exports without screen shares
WP All Export stores saved exports as a custom post type (export) with mappings, filters, and run history in plugin tables and postmeta. SleekAI's data sources read those records, so the chatbot can answer questions about which columns an export will produce, which filters are applied, when it last ran, and how many rows were generated. No screen share, no walking a teammate through five admin tabs.
Display conditions scope this bot to the WP All Export admin pages so only authorised users see export internals. Multibot can run a separate internal bot for ops teams that touch exports and a different bot for end users on the front-end, each with their own data sources and prompts.
Conversations log inside WordPress with model, tokens, user ID, and origin page, so the admin team can see which export tasks generate the most questions. The PHP embed lets the bot launch directly inside the export edit screen as an Alpine widget, so the right context is one click away.
Workflow
How SleekAI plugs into WP All Export
Map export records
export CPT plus the mapping postmeta, filter chain, and run history fields into named variables. Add the user role variable so capability checks reflect inside the bot too.
Scope to admin
Pick your model
Tune from team logs
Try it now
A typical export-help conversation
Comparison
Generic chatbot vs SleekAI for WP All Export
Generic chatbot
- Does not know what your saved exports produce
- Cannot quote the field map or active filters per job
- Has no view of last run time, row count, or runtime
- Forces ops teams into screen shares to walk through field mapping
- Hallucinates column names that do not exist in the export
SleekAI chatbot
-
Reads the
exportCPT plus mapping and filter postmeta - Quotes the actual column list per saved export
- Reports last run time, row count, and trigger source
- Scoped to admin pages, never exposed to front-end visitors
- Logs reveal which exports generate the most operational questions
Features
What SleekAI gives you for WP All Export
Column-list answers
The bot quotes the actual fields configured in the export's mapping. No more guessing whether the orders export includes the shipping country column, or whether a custom postmeta field made it into the CSV layout.
Run history awareness
Last run time, runtime in seconds, row count, and trigger source are all stored against the export. The bot quotes them so an ops question like 'did Monday's run finish' gets a one-line factual answer with the timestamp.
Filter clarity
Saved filters are part of the export record. The bot can summarise the filter chain in plain language so a teammate understands what subset of data this export will actually generate without scrolling through the admin builder.
Use cases
Where ops teams use SleekAI
Accounting handoffs
Finance teams ask whether the weekly orders export already ran and what columns the file contains, without bothering the developer who built the template.
Marketing list exports
Marketing checks whether a segmented customer export includes opt-in flags and last purchase date before sending it to the email tool, with the answer grounded in the saved map.
Developer handovers
New developers joining a project can ask 'which exports exist and what do they do' and get a quoted summary, rather than reverse-engineering the admin screens.
The bigger picture
Why exports deserve a smart helper
WP All Export is the unsung backbone of countless WooCommerce and content sites. Accounting needs a weekly orders CSV. Marketing needs a customer segment file.
Reporting needs a clean snapshot of the catalog. The plugin handles the heavy lifting, but the saved exports usually live in a corner of the admin that one or two team members touch, and the rest of the company asks them every Monday what the file contains. A SleekAI chatbot scoped to the export admin pages turns those questions into a conversation surface.
The same teammate who used to walk Finance through column mappings on a screen share can now point them at the chatbot, and the bot quotes the actual columns, filters, and last run. Logging every conversation gives the ops team a quiet stream of what their colleagues genuinely do not understand about the exports, which usually points at field labels and missing documentation rather than user error. Scoping to admin keeps export internals private.
The plugin already does the data movement. SleekAI keeps the rest of the team confident in the data without making the export owner the bottleneck.
Questions
Common questions about SleekAI for WP All Export
Yes. Both the free and Pro versions store saved exports as the same custom post type with mappings in postmeta and plugin tables. SleekAI reads any mapped field the Pro version adds, including scheduling and cron expressions, the same way as the core fields.
 WP All Export exposes WordPress actions for manual runs. With the JS API and an appropriate capability check, the bot can fire a run after the user confirms inside chat, so an ops shortcut becomes a one-message workflow.
 Mappings often include postmeta and ACF fields. SleekAI maps the field names and target columns into the prompt, so a question like 'is the loyalty tier in the export' returns a yes or no with the column name it maps to.
 Yes. Import jobs are stored similarly under their own CPT. SleekAI can map both export and import jobs into a single ops bot that answers questions about the full data flow between the site and external systems.
 Display conditions restrict the export bot to admin pages and authorised roles. Front-end visitors never see it. Multibot lets you run a separate public bot with no access to admin internals, so there is no overlap.
 WP All Export supports custom PHP functions in the field expression. The bot can read the function call from the mapping and explain what the export will output, useful when a previous developer used a one-off helper that nobody remembered.
 Logs include user ID, page URL, model, and tokens. Group by export slug to see which exports generate the most questions, then either improve the export's documentation or rebuild the field map to remove the confusion.
 Routine column or run-time lookups work well on a fast cheap model. Filter chain summaries and custom-function explanations benefit from a stronger model, since they involve reading multiple fields and explaining the logic in plain language.
 Pricing
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