Fomo surfaces a stream of recent events as small notifications: someone in Toronto just bought a hoodie, four people viewed the same product, a new review hit the site. The events come from WooCommerce, Easy Digital Downloads, MailChimp, ConvertKit, custom webhooks, or manual entries, and they sit inside Fomo's WordPress integration plus the source plugin's own tables.

SleekAI's data-source wizard reads from those underlying tables: wp_posts and wp_postmeta for orders or downloads, ACF fields, and the option records Fomo uses for campaign-level configuration. Mapped variables surface in the bot's system message at request time, so when a visitor asks why they just saw three notifications in a row, the bot can describe the actual events without inventing details.

Display conditions match each bot to the pages where a specific Fomo feed fires, and multibot lets a public site bot run alongside a logged-in admin bot that has access to richer activity stats. Every chat is logged inside WordPress with the model, page URL, and token usage attached.

Fomo's value is that it shows real, current activity. A bubble in the corner saying that someone in Toronto just bought a hoodie is more persuasive than a static testimonial because it is fresh and specific. The downside of that specificity is that visitors often want more: they want to know which hoodie, whether the size they want is still available, and whether the number of recent orders is genuine.

A generic chatbot trained on the open web cannot answer any of that, and a guessed answer undermines the social proof the bubble worked to build. WordPress already has the underlying data: WooCommerce orders, EDD downloads, MailChimp opt-ins, form submissions, and Fomo's own option records all live in the same database. SleekAI's data-source wizard maps that information into the chatbot's system message at request time, so the bot can quote real counts, name actual products, and align its answers with the exact campaign that fired the bubble.

Display conditions keep each bot scoped to the right surface, multibot lets different campaigns get different bots, and conversation logs make it easy to spot which Fomo notifications drive the most curiosity. The combined result is a site where passive activity bubbles and interactive chat both speak the same data, instead of feeling like two unrelated layers bolted onto the same page.