When the buyer
asks the AI.
A global AI and customer experience consultancy. Content engineered
to surface inside the LLMs their buyers were already using.
$500K in pipeline. 21 days.
Buyers stopped Googling.
A decade of SEO investment was producing diminishing returns. Paid was already maxed. And the buyer was no longer arriving through either — they were asking ChatGPT, Claude, and Perplexity. "Who should I talk to about this." "What do the leaders in this category actually do." "Compare these vendors." The answers showed up. The firm did not. The most consequential part of the buyer journey had moved into a tool the brand was invisible inside, while the marketing budget kept funding the indices the buyer had left.
LLMs surface different things than search engines do. Clear takes. Structured expertise. Sourceable claims. Entities the model recognizes as authoritative in a domain. None of that overlaps with traditional SEO copy. Showing up required different content, different structure, different cadence.
Rank where buyers actually look.
We rebuilt the content function around a different question: when a buyer asks an LLM about this category, what does the model say, and how do we become part of the answer? Combined AI tools to produce content at scale with SEO discipline to keep it discoverable across both classical search and LLM responses. No paid media. No outbound. No gated content. The work had to earn its way in.
The discipline was content as expertise, not information. Reports and blog posts that demonstrated the methodology, not just described it. The kind of source an LLM is willing to cite, and a human reader is willing to act on.
AI scale. SEO discipline. Real expertise.
What this looked like. A handful of pieces — structured comparisons of implementation approaches against buyer decision criteria, with sourceable claims and clean schema — began surfacing across LLM responses (ChatGPT, Claude, Perplexity, Gemini) to category-defining buyer questions, generally within the first weeks of publication. Those placements produced inbound conversations with named accounts that the sales team had not been chasing. Each placement reinforced the firm as a source the models were willing to cite again, and the cycle compounded.
21 days. No paid. $500K.
A buyer who asks an LLM "who should I talk to" arrives in your inbox already qualified. The 21-day window produced face-to-face meetings with named accounts and a half-million dollars in marketing-sourced pipeline — from content alone, with no media spend and no outbound motion.
generated in 21 days
placement to first close
against the program
No paid. No outbound. No gated content. Reports and blog posts that demonstrated expertise, not just information.
SEO is no longer the only index that matters.
Buyers research inside LLMs now. Content that wins in 2026 is content the model is willing to cite as a source — not content that wins a keyword. The methodology is AI tools for scale, SEO discipline for structure, and real expertise as the spine. None of it is theoretical. It is producing pipeline already.
Related cases
Case 03 — Brand authority · Case 01 — Pipeline engine
If buyers are asking AI tools and your brand is not in the answer, the index has changed and the playbook has too. Book a 30-minute LLM-rank diagnostic →