It replaces the marketing-site chatbot use case. For inside-app live chat or ticketing, keep your existing tool. Many teams run SleekAI on the marketing site and Intercom on the app, which gives evaluators a real answer on the marketing surface and customers a real human inside the product. The two complement each other; neither is a full substitute for the other.

Upload your API reference and SDK docs to OpenAI Files. The chatbot quotes accurate request and response shapes from the source, so a developer asking 'show me a curl example for creating a webhook' gets a real, copy-paste-ready snippet from the actual documentation. The system prompt can also instruct the bot to fall back to a 'see full reference' link when a question goes deep.

If your WordPress site stores customer plan in user meta, the chatbot can scope answers using SleekAI's user context features. A logged-in Pro customer asking about a feature gets a Pro-specific answer; a Free user asking about the same feature gets the upgrade-prompt version. This is most useful for marketing-site logged-in flows like docs, community, or self-service portals.

SleekAI sits inside your WordPress site and uses your OpenAI key. Compliance flows through OpenAI's enterprise terms and your existing infra controls. There is no Sleek-hosted middleware that touches buyer conversations, which is usually the deciding factor for security teams. If your WordPress hosting is SOC 2 compliant and your OpenAI account is on enterprise terms, the chatbot inherits that posture.

Multibot lets you serve different prompts via display conditions, including A/B style splits by URL or query param. A campaign landing page can run a campaign-specific bot with messaging tuned to that audience, while the rest of the site runs the default. Conversion logs let you measure which prompt drives more demo bookings or trial signups, which is the only A/B test that matters.

Inside your WordPress database. You decide retention and access. For B2B SaaS with strict information-handling policies, this is often the only acceptable architecture, because hosted chatbot SaaS introduces a third-party data processor that legal has to evaluate. The Sleek model puts you in the same posture as your existing WordPress data, which is a known quantity.

The bot can ask for an email and pass it to your CRM via webhook so a real follow-up sequence runs from there. HubSpot, Salesforce, Pipedrive, and any tool with a webhook ingest are supported. The chatbot is not a CRM and does not try to be; it captures the lead and hands off to the system that already runs your sales process.

If your changelog is a WordPress custom post type or a category, the chatbot indexes it like any other content. An evaluator asking 'when did SSO ship for the Team plan' gets the changelog entry with the date and a link. This is particularly useful for evaluators comparing maturity, because a recent, detailed changelog is a credibility signal that a generic 'we move fast' marketing claim cannot match.