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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
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AI Chatbot for Whitepaper Delivery: Chat-Gated Downloads

SleekAI reads your whitepaper custom post type, asks two qualifying questions in chat, captures name, email, and company, then emails the PDF and pushes the lead into your CRM via REST. Bring your own OpenAI, Anthropic, Google, or OpenRouter API key.

♾️ Lifetime License available

SleekAI chatbot for Whitepaper Delivery Chatbot

Replace the 9-field form with a 2-turn chat

Traditional whitepaper gating is a 9-field form behind a thank-you page that delivers a PDF nobody opens. Form-completion rates on cold paid traffic sit around 8 to 12 percent. The visitors who do fill it in often type 'asdf' in the company field, and the SDR who follows up gets through to a real person maybe one time in ten.

SleekAI replaces that form with a chat. The bot reads your whitepaper CPT, knows which asset the visitor is on, asks two scoped questions (role and a specific pain point), then collects email and company in conversation. The PDF arrives by email seconds later, and the lead, transcript, role, pain point, and source URL go to your CRM via the REST endpoint you point at in wp_options.

Generic chatbots tend to either skip qualification entirely or grill the visitor with a robotic intake script. SleekAI lets the model run the conversation in your brand voice, with display conditions scoping which assets it delivers, and PHP filters to validate emails or block free-mail addresses on enterprise assets. The result is fewer fakes, richer lead data, and a real conversation log instead of a static form submission.

Workflow

From static form to two-turn conversation

1

Map your asset CPT

Point SleekAI at your whitepaper or resources CPT, with fields for title, summary, asset URL, and optional gating tier. The bot reads the current post into variables on every page load.
2

Configure qualification

Pick two qualifying questions per asset, set in the system prompt. Lower-tier assets might ask only role; high-tier ABM assets might ask role and named-account intent before delivery.
3

Wire delivery and CRM

Use the lead-capture hook to call wp_mail for delivery and a REST push for the CRM. Free-mail blocks, GDPR consent, and UTM passthrough live as PHP filters on the same payload.
4

Measure beyond MQLs

Use the conversation log plus your CRM to track which assets generate SQLs and won deals, not just raw downloads. Tighten qualifying questions on the assets that underperform.

Try it now

A typical whitepaper delivery conversation

A marketing lead grabbing a benchmarks report and getting qualified in two turns.

Comparison

Generic chatbot vs SleekAI for whitepaper delivery

Generic chatbot

  • Has no idea which whitepaper the visitor is reading
  • Cannot trigger an email send with the asset attached
  • Skips qualification or runs a clunky form-style intake
  • Does not push lead data to your CRM with the transcript
  • Treats every visitor the same regardless of asset value

SleekAI chatbot

  • Reads the current whitepaper post and asset URL
  • Validates email against your domain rules in PHP
  • Pushes leads to HubSpot, Pipedrive, or any REST endpoint
  • Logs full transcript with role, pain point, and source URL
  • Display conditions scope the bot per asset or campaign

Features

What SleekAI gives you for Whitepaper Delivery Chatbot

Email plus PDF delivery

When the chat captures email and company, SleekAI triggers a wp_mail call with the PDF link or attachment. The visitor sees confirmation in chat and the asset hits their inbox in under a minute, fully tracked.

In-conversation qualification

Two questions, picked by the model from a list you configure per asset, replace the 9-field form. Role and concrete pain point land in the CRM as structured fields, not free-text from a brittle dropdown.

Native CRM push

A PHP filter sends the lead, transcript, asset slug, and UTM parameters to HubSpot, Pipedrive, Salesforce, or any REST endpoint. No Zapier hop, no rate-limit surprises, no extra subscription.

Use cases

How marketing teams use chat-gated delivery

Benchmark report delivery

Replace a 35 percent bounce form with a chat that qualifies, delivers the PDF, and books a follow-up for high-fit leads in one continuous conversation.

Campaign-specific gating

Run a Q2 ABM campaign with a chatbot scoped to /resources/abm/ that asks named-account questions and routes to the matching AE based on company size or industry.

Multi-asset library nurture

Visitors who have already downloaded one report get a follow-up recommendation in chat. The bot reads wp_usermeta or your CRM cookie to know what they have already seen.

The bigger picture

Why chat-gated delivery beats the form-fill

Whitepaper gating is one of the most-criticised tactics in B2B, and one of the hardest to replace. The 9-field form survives because nothing else captures structured CRM data at scale. Chat-gating breaks that compromise.

A 2-turn conversation captures the same data with higher fidelity, because the visitor types real answers instead of dropdown-shaped lies. Lead richness, not lead volume, is the metric that matters. An SDR opening a chat transcript that includes role, primary metric, and a sentence of context can write a relevant first email in three minutes.

An SDR opening a form submission with a job title and a company name writes the same template they sent the last 200 leads. The downstream effect on reply rate and SQL conversion is large enough to show up in quarterly pipeline reports. There is a defensive angle too.

Chat-gated delivery is harder for tooling that crawls and form-fills automated submissions, so the leads that come through are likelier to be real people. Combined with display conditions, free-mail blocks, and per-asset prompts, the bot becomes the cleanest top-of-funnel touchpoint the marketing team owns.

Questions

Common questions about SleekAI for Whitepaper Delivery Chatbot

Display conditions scope each chatbot to a URL pattern like /resources/{slug}/, and SleekAI maps the current post into bot variables. The model sees the asset title, summary, and download URL, so it can speak to the right report and trigger the right email. No copy-paste between bots or assets.

 

When the visitor confirms email and company, the bot triggers a server-side wp_mail with the PDF link or attachment. You can use the WordPress default mailer, SMTP via WP Mail SMTP, or a transactional provider like Postmark with a custom PHP filter. The visitor gets confirmation in chat and the asset in their inbox.

 

Yes. A PHP filter on the lead-capture hook can check the domain against a list and ask the visitor for a work email if needed, in conversational tone. The system prompt can reinforce this with a polite second ask. Free-mail blocks are a one-line change rather than a checkbox in someone else's SaaS dashboard.

 

Anywhere with a REST endpoint. Out of the box: HubSpot, Pipedrive, Salesforce via OAuth, ActiveCampaign. Add your own with a PHP filter on the lead payload. The transcript, role answer, pain-point answer, asset slug, UTM parameters, and origin URL are all included, so the SDR has context before they reach out.

 

Keep the existing form on the page and let the chat be the alternative path. Some visitors prefer typing in a form, others prefer a 2-turn conversation. Either way the asset is delivered. Many teams see the chat path outperform the form on mobile and on paid social traffic, while the form holds its own on direct visits.

 

Yes. Wire the chat capture into your existing double opt-in flow. The bot can say 'check your inbox to confirm and the PDF link will arrive after that.' The CRM receives the lead in a pending state and the asset is sent on confirmation. Audit logs include consent text and timestamp.

 

Run the chat on 50 percent of traffic via your existing experiment tool, leave the form on the other 50 percent, and compare lead volume, lead quality (SQL conversion downstream), and SDR feedback at 30 days. Most teams see chat win on lead richness even when raw volume is similar.

 

Any model good at short structured conversation works. Many teams run GPT-4.1 mini or Claude Haiku for cost, and reserve a larger model for the rare follow-up question outside the qualification script. You bring your own API key, so the cost per delivered asset is usually under a few cents.

 

Pricing

More than 1000+
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