AWMZA
Paid
Small businesses using WhatsApp for sales
Your pricing page gets 400 visitors a month and books three calls — not because the offer is wrong, but because the form sits there waiting while the visitor's attention doesn't. Brift drops an AI sales agent onto that page that qualifies, objects-handles, and books in the same conversation.
Brift's agent reads your site URL on setup, builds an offer model from your pricing and ICP, and goes live as a chat widget in under an hour — no dev sprint, no Zapier chain. A visitor lands at midnight, gets a simulated ROI for their team size, gets their objections fielded, and either books a call or bounces with a logged reason. Every conversation is recorded so you wake up knowing what stopped the ones who left. The ceiling appears when your sales motion gets complex: multi-product routing, conditional qualification trees, or anything requiring a handoff logic your agent wasn't trained on at setup. At that point the logs tell you what broke, but the tool gives you precious little to fix it without retraining.
Bottom line: Bet this on a single-offer B2B site with consistent inbound traffic where the gap is between click and booked call — not on a multi-product portfolio where qualification branches need to route differently per segment.
Starting price on annual billing
View full pricing on brift.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Chatbot Builders. Compare pricing, platforms, and features side by side.
Paid
Small businesses using WhatsApp for sales
Freemium
Turkish-language call centers
Most website visitors who would have bought leave without saying anything. Brift addresses that silence by deploying an AI sales agent trained on your specific business — paste a URL, import your offer details, and the agent learns your pricing, handles objections, simulates ROI for different buyer profiles, and pushes qualified visitors toward a booked call or signup. The setup workflow is deliberately minimal: one line of code embeds the widget, and the agent auto-ingests your site content so it sells from your actual offer rather than a generic script. Every chat is logged with intent signals, so the conversation history doubles as a lead qualification record delivered to you asynchronously.
The differentiating feature the vendor describes is ROI simulation inside the chat — rather than redirecting a visitor to a calculator page or a white paper, the agent runs the numbers for that visitor’s stated team size or use case mid-conversation. This is the mechanism that addresses the pricing-page drop-off problem: the visitor gets a personalized answer before they click away, not an email sequence three days later.
Brift fits tightest on B2B SaaS pricing pages, agency and consultant sites where the offer is one or two services, and e-commerce flows where the conversion goal is a single checkout action. It also supports white-label deployment, so agencies can install the agent on client sites under the client’s branding. Where it starts to strain: qualification logic that branches differently based on what an earlier answer returned — for example, routing enterprise prospects through a different question set than SMB prospects. The vendor describes a single training pass at setup; there is no documented visual workflow editor or conditional branching builder in the scraped content, which means teams needing multi-path qualification have no native mechanism to express it.
Deployment is fully cloud-hosted — no self-hosted option is available, and the vendor states live tracking and lead logging happen in the platform dashboard. There is no mention of a native API for pushing conversation data to external CRMs, so teams that need leads to land directly in Salesforce or HubSpot should verify the integration path before committing.
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