The Experiment: One Query, Four Contenders
Every sales leader wants to know: "Can I just use ChatGPT to find my leads?"
In theory, LLMs like GPT-4, Claude 3.5, and Perplexity can browse the web. They can read news, summarize reports, and answer complex questions. But browsing isn't the same as detecting intent.
We ran a real-world test. We asked Karhuno AI and the "Big Three" general AI tools the exact same query:
The Query
"Find logistics companies in the US that announced new warehouses in the last 30 days."
The Results: Why Timing Requires Specificity
Karhuno AI: Verified Success
Karhuno AI didn't just summarize the news—it provided a list of 10+ specific companies with active expansion signals.
- 10+ Verified Results (Not Summaries)
- Live Proof URLs (News & LinkedIn)
- Sales-Ready Context
- Decision-Maker Contact Data
The "Big Three": Vague & Stale
ChatGPT, Claude, and Perplexity all followed a similar pattern of failure for this specific sales use case.
ChatGPT
2 vague summaries. No buying signals. No source context.
Claude
4 vague summaries. Hallucinated some dates. No proof.
Perplexity
General industry news. No specific recent warehouse expansion links.
The Conclusion
General AI is great for writing poems or summarizing long documents. But in B2B sales, close enough is not enough.
If you reach out to a company about a "new warehouse" that actually opened two years ago, you lose all credibility. If you reach out without a source URL to prove why you're calling, you're just another cold caller.
Karhuno AI wins because it was built for the SDR workflow, not for chat.
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