AI Quote Builder Chatbot for WordPress
SleekAI walks visitors through scope, timeline, and budget in conversation, grounded in your pricing pages and ACF service fields, then drops a Calendly link when the lead is qualified. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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The 14-field quote form is killing your pipeline
Service businesses love the multi-step quote form. Sales teams hate it. The conversion drop between step one and step five is the silent leak nobody on the marketing channel ever fixes, because the form is also doing intake, and removing fields means a rep has to ask them on the call. The trade-off has been the same since 2010: hassle the visitor up front or pay for it in the first sales meeting.
SleekAI breaks that trade-off. The bot asks the same qualification questions in conversation, grounded in the pricing ranges and service categories you already maintain in WordPress. It calculates a rough quote band from your real numbers, surfaces case studies for projects in the same shape, and offers a booking link once budget, timeline, and scope are within range. The transcript becomes the structured record a form used to produce, and the rep walks into the call already briefed.
Display conditions let you run a different quote bot on each service page. Multibot lets the design retainer page ask different questions than the audit page. Conversation logs reveal which scopes you're saying yes to that you should be saying no to, and which scopes you're losing to competitors at the price point. That is the data the form template never produced.
Workflow
How SleekAI handles a quote conversation
Ground in your pricing
Encode the playbook
Wire the handoff
Tune from the logs
Try it now
Quote a project in conversation
Comparison
Generic chatbot vs SleekAI for quote builders
Generic chatbot
- Cannot read your real pricing ranges or service tiers
- No qualification logic, just FAQs and small talk
- No way to route by budget, scope, or timeline
- Long contact form remains the actual quote path
- No transcript to hand the rep before the call
SleekAI chatbot
- Grounded in pricing pages and ACF service fields
- Encodes your qualification playbook in the system prompt
- Drops Calendly or Cal.com links once leads qualify
- Webhook hands a transcript and structured fields to your CRM
- Per-service Multibot for retainer vs audit vs sprint pages
Features
What SleekAI gives you for AI Quote Builder
Knows your numbers
Pricing ranges, retainer tiers, and service categories flow into the prompt from your WordPress pages and ACF fields. Update the pricing page and the next quote reflects it on the next request, no separate config to maintain.
Qualifies by rules
Encode your floor, your sweet spot, and your no-fit signals in the system prompt. The bot keeps qualified leads engaged and politely declines the projects that would land on the rep's desk to be triaged out anyway.
Hands off cleanly
Trigger a webhook with the transcript, the structured fields, and the booking link. The rep walks into the discovery call already briefed on budget, timeline, and scope, instead of reconstructing context from a form payload.
Use cases
Where SleekAI replaces the quote form
Agencies and consultancies
Filter out the 1,000 EUR projects when the floor is 25,000 EUR. The bot asks scope and budget early, offers references for in-range projects, and books a call only when the fit is real.
Home services
Roofing, painting, and renovation get a square-footage estimate and a callback slot. The bot ranges by location and material, then captures address, photos, and a callback window via the form embed.
SaaS enterprise sales
Volume tiers, SSO, audit logs, and SLAs route the conversation to enterprise pricing instead of self-serve. The transcript reaches the AE before the calendar invite hits the inbox.
The bigger picture
Why a quote chatbot pays for itself in a quarter
The long quote form is a relic from a time when sales teams couldn't read a transcript at scale. Its job was to compress a buyer's situation into a structured record because a rep had to triage twenty inbound emails before lunch. AI changes the economics: a transcript is now a structured record, because the model can extract budget, timeline, scope, and intent from a five-message conversation as cleanly as a form would.
The human cost of the form was always the conversion drop and the bad-fit leads who tolerated it. With a chat, the conversion drop disappears, the qualification quality goes up, and the rep starts every call with three pages of context instead of interested in services. Agencies and consulting firms see the most obvious gain, because filtering out the 1,000 EUR projects when the floor is 25,000 EUR is a single-prompt rule that returns a measurable percentage of every rep's week.
Home services see a different win: a square-footage estimator plus a callback-window field captured in conversation outperforms the 4-step form that visitors abandoned at step 2. SaaS enterprise sales sees a third version of the same gain, because sorting enterprise from SMB before the demo slot is booked is the difference between a 30-minute call that closes and a 30-minute call that the AE marks not a fit. None of those wins require a custom integration.
They require a bot grounded in pricing, a prompt that encodes the playbook, and a logging layer that turns failures into the next iteration.
Questions
Common questions about SleekAI for AI Quote Builder
It quotes a range, not a binding number. You decide the range in the system prompt, grounded in your real pricing pages. The bot's job is to qualify the lead and set expectations so the rep on the call is having a real conversation about scope, not a discovery about budget. Trying to make the bot quote a binding figure is the fast way to hallucinate a discount you don't offer.
 Ground in the pricing page directly. When marketing updates the page, the bot's next answer reflects the new range. Avoid duplicating prices into the system prompt because that's the path to a stale answer that contradicts the site for half the day until someone notices.
 Yes. The JS API and webhook payload give you the full transcript, the structured fields, and the chat ID. Most teams pipe that into HubSpot, Pipedrive, or Salesforce via Zapier, Make, or a native plugin. The chat ID lets you correlate the conversation with the closed deal later.
 Yes. Multibot plus display conditions let each service page run its own bot with its own prompt and pricing scope. The retainer page asks ongoing-engagement questions; the audit page asks scope and timeline; the sprint page focuses on team size. No two flows have to share a playbook.
 Tell the bot to politely decline and signal a better referral if you have one. Keeping bad-fit prospects off the rep's calendar is the single biggest source of pipeline hygiene the form template never produced. The system prompt is the right place to draw that line, conservatively.
 Yes. Drop a Calendly, Cal.com, or SavvyCal link inline once the bot decides the lead is qualified. The link is just a URL the bot is allowed to share at the right moment, scoped by the prompt rules. No native integration is required because the booking tool already owns the calendar.
 Only if you tell it to. The system prompt encodes the discount logic, the conditions, and the cap. Most teams keep discount authority with the rep on the call rather than letting the bot offer percentage cuts, because a bot that haggles trains future prospects to start by asking for one.
 If you publish localised pricing pages, the bot grounds in whichever the visitor is on. SleekAI works with WPML, Polylang, and TranslatePress, so the active locale routes to the matching pricing post. You can also tell the bot to ask the visitor's region up front and adjust accordingly.
 Pricing
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