Yes. SleekAI reads your live WordPress content, so the moment a feature page or its linked docs are updated, the chatbot answers reflect the change. There is no retraining step and no manual sync. For product teams that ship feature updates often, this matters because the chatbot does not quote yesterday's limit after the new release has lifted it. It also keeps deprecated behaviour from being quoted to a prospect.

If a prospect asks about a capability the feature does not support, the bot says so honestly. We strongly recommend this default; pretending a feature does something it does not is the fastest way to convert a curious prospect into a refund request in week three. The bot is configured to offer a workaround if one is documented, or to suggest a related feature that handles the case, rather than hedge.

If your changelog or release notes live in WordPress, yes. SleekAI reads any post type, so a public changelog as posts, custom post type, or static page is all readable as context. That is useful on feature pages, because prospects often ask 'is this new' or 'when did support for X land', and the bot can answer with a real date instead of vagueness.

Yes. SleekAI supports multibot, so the import feature page can run a bot scoped to import docs while the API feature page runs a bot scoped to API reference and SDK examples. Each starts with its own initial message and quick replies, so the conversation feels native to the feature in question rather than a generic site-wide assistant trying to cover everything.

The bot reads text content, including image alt text and captions if you have published them. For literal pixel-level descriptions of a screenshot, the bot is not the right tool. We recommend writing clear alt text and captions for product screenshots so the bot can answer 'what does the import screen look like' with the actual description rather than a guess.

SleekAI is a one-time WordPress plugin license. You bring your own OpenAI, Anthropic, Google, or OpenRouter API key, so usage cost is just the tokens, typically a few cents per conversation. Feature pages tend to attract mid-to-late funnel traffic, so the cost-per-conversation is more than paid for by even a small lift in trial signups or demo bookings from prospects whose specific question got answered cleanly.

Yes. When the conversation indicates ready-to-try intent, the bot links to the trial signup, the live demo, or the pricing page, whichever matches the feature page's primary CTA. The CTA logic is configured per page, so a developer-focused feature page can route to docs while a marketing-focused one routes to demo, without the bot guessing.

Yes. Many sites run a support widget on docs and a SleekAI bot on marketing pages, using display conditions to keep each in its lane. Display conditions are configured by post type, URL pattern, taxonomy, or logged-in state, so the chatbot only loads where you want it and does not compete with support tools elsewhere on the site.