LLM sales attribution
15% of sales attribution connected to AI discovery in 2026.
Anonymized client result | 2026
How discovery through large language models became a measurable source of sales attribution and a meaningful driver of growth.
The measurable result
How discovery through large language models became a measurable source of sales attribution and a meaningful driver of growth.
LLM sales attribution
15% of sales attribution connected to AI discovery in 2026.
Client growth
23% client growth recorded alongside the LLM attribution signal.
Discovery sources
Gemini, ChatGPT, and Claude represented in the client signal.
Broader engagement
4.48x cumulative return from the related multi-touch growth engagement.
The engagement
In the 2026 client snapshot, 15% of sales attribution came from large language models including Gemini, ChatGPT, and Claude. That signal appeared alongside 23% client growth and gave leadership a baseline for evaluating AI discovery as a revenue source.
The useful question is not whether an AI assistant mentions a brand. It is whether a qualified buyer can find the business, trust the information, and take a sales step. This AI sales attribution case study measures that path alongside other demand channels.
LLM marketing attribution is useful when its source can be connected to sales and reviewed with the same discipline as paid, organic, or referral activity. An AI growth strategy New England leaders can evaluate needs a clear owner, consistent definitions, and human review. The same standard applies to ChatGPT sales attribution.
The broader anonymized 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. That baseline helps leadership judge whether new AI-related spend is earning its place.
More proof in practice
Compare the baseline, investment, and outcome across AI attribution, marketing ROI, and multi-touch growth measurement to see how the work translates into business decisions.
How discovery through large language models became a measurable source of sales attribution and a meaningful driver of growth.
Read case study
9.32xHow a $317,000 annual marketing budget produced a 9.32x return, $2.95M in marketing-attributed revenue, and $4.34M in total closed revenue.
Read case study
4.48xHow multi-touch measurement connected marketing activity to $9.51M in attributed revenue and $21.62M in total closed revenue.
Read case studyHow VTNH Consulting Partners tripled active advisory partnerships while expanding value delivery across complex client segments.
Read case studyThe new website redesign helped 17.65% of organic search visitors become new clients, with an average deal size of more than $20K per client.
Read case studyHow a public-sector SaaS platform redesigned its website and connected inbound marketing, lead capture, and CRM operations to reach 42,000 pageviews, acquire 7,899 contacts, generate 158 high-intent leads, and drive 59 closed-won subscription accounts.
Read case studyTell us what you are trying to solve. We will help you identify the constraint, the evidence, and the right first step.
CLAIM YOUR FREE AUDIT