That's a config decision. We recommend the bot can summarize the headline findings (which usually appear in the abstract anyway) but not the underlying data tables or supporting analysis, which stay behind the form. This balances the form's lead-capture purpose with the prospect's reasonable need to know if the paper actually answers their question. The system prompt can be tightened either way based on how protective your marketing team wants to be.

Methodology details (sample size, cohort definition, fielding dates, response rate, weighting) should live on the landing page itself or in a methodology summary post that the bot reads. We strongly recommend not relying on the bot to invent methodology; the system prompt instructs the model to defer to a contact form if asked about details that aren't in the source. That keeps research credibility intact.

Yes. If your whitepaper is sponsored or co-authored with a vendor, the bot can quote the disclosure as published. Honest disclosure usually lifts trust rather than killing it; sophisticated readers know most industry research is sponsored, and explicit independence statements (editorial control, no review rights) carry more weight than silence on the relationship.

Yes. The bot answers fit and methodology questions and routes the prospect to your existing form (Marketo, HubSpot, Pardot, native WordPress form) when they're ready to download. It does not bypass the gate by surfacing a direct PDF URL, so your lead capture, scoring, and nurture sequences still fire normally.

If the page describes section-by-section findings, the bot can preview at that level. For deeper Q&A on the full PDF, you can upload the whitepaper into an OpenAI Files vector store; SleekAI then retrieves passages on demand. Research teams typically take a more conservative approach and keep the underlying findings gated, with the bot pointing to the download for the detail.

Each landing page runs its own bot via multibot, scoped to that specific paper. A buyer reading a 2026 European IT spending whitepaper gets the bot for that study, with that methodology and cohort, not a generic 'research bot' that mixes findings across papers. This is essential when papers have overlapping topics but different methodologies.

SleekAI is a one-time WordPress plugin license. You bring your own OpenAI or Anthropic API key, so usage cost is just tokens - typically a few cents per conversation. For analyst-relations programs that publish a handful of whitepapers per year, the total chatbot cost is trivial compared to the per-paper production budget or the per-lead acquisition cost via paid distribution.

Yes. Conversation logs in WP admin show every question, the bot's reply, model name, token usage, and the page URL. For research teams, this is genuinely useful signal: clusters of methodology questions reveal where the abstract is doing too much work or not enough, and questions about segments not covered point to the gaps the next paper could fill.