AI chatbot for wpDiscuz Comments: discussion Q&A and moderation help
SleekAI's chatbot reads the wp_comments and wp_commentmeta tables plus wpdiscuz vote and subscription data, so authors and readers get grounded answers about discussion state and rules. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
♾️ Lifetime License available
Bring your comment threads to life with a context-aware helper
wpDiscuz replaces the default WordPress comments with a richer system. It still uses wp_comments and wp_commentmeta, and adds tables like wp_wc_comments_voted for vote tracking, wp_wc_users_voted for per-user vote state, and wp_wc_phrases for translatable strings. Plugin settings live under the wmuOptions and wc_options series. A generic chatbot cannot read any of that.
SleekAI maps the comment thread on the current post along with the wpDiscuz vote tables and core option values into the chatbot's system message. The bot can summarise the top voted comment on an article, confirm that guests cannot post a comment without an email when wc_require_login is on, and remind a reader that they have already voted on a specific comment so they understand why the up arrow is greyed out.
Display conditions scope the bot per post type and per logged-in state. A blog with a heavy comment audience can run one bot on long-form articles that helps readers join the discussion and another on news posts where the comment volume is too high to summarise inline.
Workflow
How SleekAI plugs into wpDiscuz
Map the comment data
Add the vote tables
Scope the widget
Review the logs
Try it now
A typical wpDiscuz article conversation
Comparison
Generic chatbot vs SleekAI for wpDiscuz Comments
Generic chatbot
- Doesn't know which comments exist on the current post
- Cannot read wp_wc_comments_voted or per-user vote state
- Has no view of wc_ option values that drive rules
- Hallucinates vote counts and top commenter names
- No scoping per post type or per logged-in state
SleekAI chatbot
-
Reads
wp_commentsandwp_commentmetafor the post -
Pulls votes from
wp_wc_comments_votedand friends -
Knows per-user vote state from
wp_wc_users_voted -
Reads
wc_options for rules like require login - Logs every reply with the post ID and comment ID attached
Features
What SleekAI gives you for wpDiscuz Comments
Thread-aware answers
The system message includes the comment thread on the current article, ordered by votes or recency. The bot can summarise the discussion, point out the top counter-argument, and surface comments from the article's author.
Vote-aware replies
Reading the wpDiscuz vote tables lets the bot quote real up and down vote counts. It can also explain to a user why an arrow is greyed out by checking the wp_wc_users_voted state for that user and comment.
Rule-aware onboarding
Map the wc_ option keys that control require login, name and email requirements, and Akismet hooks, and the bot can explain exactly why a guest comment is rejected on this site in plain language.
Use cases
Where blogs use SleekAI for wpDiscuz Comments
Article companions
Long-form articles get a bot that can summarise the top comments and offer counter-arguments inline, so readers see the discussion without scrolling through hundreds of replies.
Author replies
Authors ask the bot in wp-admin which of their open replies still need attention, ranked by upvotes, so they can prioritise instead of scrolling the whole moderation queue.
Moderation help
Moderators get a bot that explains rule violations from the wc_ options and lists pending comments tied to specific articles, all without leaving wp-admin.
The bigger picture
Why discussion-aware AI matters for content sites
Long comment threads are both an asset and a wall. They contain the real reactions of your audience, but they also bury insight under volume. wpDiscuz already exposes everything an assistant would need to be useful here.
It has comments, vote counts, per-user vote state, subscription information, and a fine-grained settings model that decides who can comment, when, and under what name. A generic chatbot has access to none of it. So readers either skip the discussion or scroll for minutes to find the worthwhile counter-argument.
SleekAI changes that by mapping the wpDiscuz tables and core comment data into the chatbot's prompt at request time. The bot can now summarise the discussion, surface top voted comments, explain rules, and tell a logged-in user whether they have already voted. Pair it with multibot and a verbose article bot can run on long essays while a quieter news bot covers high-volume short posts, both reading from the same set of comment tables.
Questions
Common questions about SleekAI for wpDiscuz Comments
Yes. SleekAI maps wp_comments and wp_commentmeta filtered to the current post into named variables. Variables resolve at request time, so a comment posted moments ago appears in the next answer without a sync step or background indexing job.
Yes. wpDiscuz stores votes in wp_wc_comments_voted and per-user votes in wp_wc_users_voted. SleekAI's custom-table data source can map both, so the bot can answer with the real vote counts and tell a logged-in user whether they have already voted on a comment.
You need an account with at least one supported provider. SleekAI works with OpenAI, Anthropic, Google, and OpenRouter, so a high-traffic blog can pick a fast cheap model for inline summaries and a stronger one for long-form discussion analysis under the same chatbot. Usage stays on your provider.
Yes. Display conditions support post type and taxonomy filters. A common setup is a verbose article bot on long-form posts and a quieter news-post bot that just exposes the top three comments without trying to summarise hundreds of one-line reactions.
Yes. Subscription state lives in wpDiscuz tables tied to the comment and user. SleekAI can map those, so the bot can answer whether a user is subscribed to a thread or to all comments by the article's author, and remind them how to unsubscribe.
Only the data you map into the system message reaches the model. Stick to public comment fields and vote counts, and no email addresses are sent. If you also map authenticated-user fields, scope the bot with display conditions so they only appear under the right role.
Yes. Authors logged into wp-admin can run the bot with a system message that includes pending replies on their posts. The model can suggest a draft answer for each, grounded in the article body and the parent comment, which the author edits before publishing.
Yes. Pro features like inline mentions and follow rules store their state in wpDiscuz tables and commentmeta. SleekAI's data sources read both, so any Pro feature whose state lives in those locations is accessible to the bot in the same way as core comments.
Pricing
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SleekMotion
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