GTM Clarity isn't a generic chatbot with a custom prompt. It's a purpose-built system trained on over a million real B2B sales conversations, with four distinct layers that work together every time a visitor lands on your site.
All four layers, live in 48 hrs
We configure every layer against your ICP, KB, and conversion goals before going live.
Book setup callOver 1 million real B2B sales conversations were used to train the base model — not as prompts, but as fine-tuning data. The model learned how real salespeople qualify leads, handle objections, and move deals forward.
Covering SaaS, infrastructure, fintech, and services — not generic consumer chat data.
The model learned to detect buyer intent signals — urgency, budget signals, competitive mentions.
Trained on real objection/response pairs — pricing pushback, competitive comparison, timing.
The model knows which conversational moves lead to booked demos — learned from outcomes, not rules.
Distribution across 1M+ training examples
The fine-tuned base model knows how to sell. At runtime, RAG (Retrieval-Augmented Generation) injects your specific product knowledge and your brand voice — so every answer is both commercially sharp and unmistakably yours.
Product docs, pricing pages, case studies, and FAQs are indexed and retrieved per-query — the AI always has the right context.
Your tone, vocabulary, and message framing are encoded as a style guide that shapes every response at generation time.
Update your KB and the AI knows within minutes — no retraining required. New pricing, new features, new case studies.
The AI never speculates beyond your KB. If it doesn't know, it escalates — not fabricates.
AI handles the 80% of conversations that follow predictable patterns. When a signal breaks pattern — enterprise deal size, explicit request, negative sentiment — a human steps in immediately with full context.
AI handles volume. Humans close deals. Both win.
When a human rep enters, they see the full conversation summary, visitor identity, company data, and detected signals — preloaded in one panel. No catch-up reading required.
Before the AI sends the first message, we already know who the visitor is. Powered by delivr.ai's identity graph, anonymous visitors are matched to real companies and contacts — so the AI opens with context, not a cold intro.
Anonymous session begins — IP, referrer, and behavioral signals are captured.
delivr.ai matches the session to company and contact records in real time — before any message is sent.
Company name, industry, size, and known contact data are loaded into the model context — it knows who it's talking to.
The AI opens with a message relevant to the visitor's company and the page they landed on — not a generic "How can I help you?"
Visitors who leave without converting are matched to real contacts in delivr.ai — and can be added to follow-up sequences automatically.
delivr.ai's identity graph matches anonymous B2B website visitors to real company and contact records — the same technology used by leading revenue teams to recover non-converting traffic.
Learn about delivr.aiWe'll demo the AI on your actual site and walk through your setup — free, no commitment.