LLM sales attribution
Sales attribution connected to AI discovery in 2026.
Anonymized client result | 2026
AI Growth: LLM Sales Attribution in 2026
How discovery through large language models became a measurable source of sales attribution and a meaningful driver of growth.
The measurable result
A clearer view of what changed.
How discovery through large language models became a measurable source of sales attribution and a meaningful driver of growth.
15%
Client growth
Growth being seen alongside the LLM attribution signal.
Discovery sources
Gemini, ChatGPT, and Claude are the clearest examples in the client signal.
Broader engagement
Cumulative return from the related multi-touch growth engagement.
The engagement
Growth that can be explained.
AI discovery is showing up in revenue
For one of our clients in 2026, 15% of sales attribution is coming from large language models including Gemini, ChatGPT, and Claude. This is a large part of the 23% growth we are seeing.
From visibility to sales attribution
The useful question is whether an AI assistant helps a qualified buyer find, trust, and choose a business. This result tracks the point where AI discovery becomes part of the sales conversation and can be evaluated alongside other demand channels.
That makes AI attribution a practical growth metric. Teams can measure the source, connect it to sales, and use the signal to guide the next investment decision while keeping human review and responsible data practices in place.
Engagement context
The broader anonymized growth engagement delivered a 4.48x cumulative return on investment, $9,510,524.58 in marketing and AI-attributed revenue, and $21,620,173.34 in total closed revenue across 8.5 years. The 2026 snapshot adds a current view of how LLM discovery is contributing to that growth.
More proof in practice
Explore every case study.
Compare the signals across AI attribution, marketing ROI, and multi-touch growth measurement.
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