Akismet is the default anti-spam layer for most WordPress sites: it scans every comment submission against its database and silently shifts the obvious spam into the spam queue. Akismet stores its API key in wp_options under wordpress_api_key and tracks spam counts and history per comment via commentmeta entries like akismet_history and akismet_result. From a reader's seat, the visible result is sometimes "your comment is awaiting moderation" and sometimes nothing at all.

SleekAI runs as a separate plugin and gives confused commenters somewhere to go. It reads the published comment policy, moderation timeline, and contact email you have already documented in WordPress. The chatbot never reads Akismet's commentmeta or the API key, because it does not need to. The published policy is what answers "why is my comment held" honestly and consistently.

Display conditions scope the chatbot to the help template, the comment policy page, and the contact page. Every conversation logs page URL, model name, and token usage so the team can see whether commenters are bouncing because of confusing policy or because of unrealistic expectations. The boundary between Akismet (which does the filtering) and SleekAI (which explains the filtering in plain language) stays clean.

Comment communities are still one of the best things about the WordPress ecosystem, and Akismet is what makes them sustainable. The plugin does an enormous amount of invisible work: catching the boilerplate spam that would otherwise bury legitimate discussion, learning from moderator decisions over time, and keeping the comment form usable for everyone else. The downside is that all of that happens silently, so a first-time commenter who lands in the moderation queue or whose comment ends up in spam has no idea what just happened.

They typically interpret it as the site being broken or hostile. A help-page chatbot fixes that gap with two paragraphs of context. SleekAI is the right shape for this because it answers in the team's voice rather than a generic one.

It quotes the documented 24-hour review window, the moderator email the team actually monitors, and the comment guidelines the site has already published. If the team decides to tighten the link limit or expand the queue review cadence, they edit the policy page and the chatbot updates with it. Conversation logs show what is actually confusing commenters: the held-comment message, the spam-queue recovery path, the silent-rejection case.

That gives the team specific copy edits to make rather than a vague sense that comments are causing tickets. Akismet keeps doing its job in the background and the chatbot keeps the front door welcoming.