Case Study · Enterprise Telecom Advisory

How an Enterprise Telecom Advisory Built AEO Share-of-Voice in a Long-Cycle Market

Enterprise advisory does not convert on blog clicks. The buyer is a VP of Infrastructure or a CIO, the cycle runs six to eighteen months, and the first touch is almost never a form fill. This engagement was built around a different question: when a sophisticated buyer asks an AI model about their problem, whose name shows up?

The starting point

The client is an advisory firm working at the enterprise tier of telecom and communications infrastructure. Their buyers are decision-makers at Fortune 1000 companies evaluating carrier contracts, unified communications migrations, and network modernization programs. Average engagement size is six figures. Sales cycles run six to eighteen months. The buyer has read everything before the first call.

Traditional SEO KPIs do not matter much here. Nobody is going to Google "enterprise UC advisory" and picking a firm off the SERP. What matters is earlier: when a VP asks ChatGPT to compare approaches to SASE deployment, or when a procurement lead asks Claude for a framework to evaluate carrier RFPs, whose thinking is the model citing? That is the battleground.

What we built

The strategist built a cluster-first plan around the specific advisory questions this firm actually wins on. Each cluster was treated as a thesis. The pillar piece was not a 3,000-word overview, it was a publishable framework with a name and a point of view. Supporting pieces extended the framework into specific enterprise scenarios: carrier consolidation, hybrid workforce UC, zero-trust networking, procurement governance.

The platform tracked both classical SEO position and LLM mention share-of-voice daily. The second metric matters more in this market. Every piece was structured for machine readability: clear schema markup, named frameworks, cited data points, primary-source references, and answer engine optimized sections that a model can lift cleanly into a response.

A content agency optimizing for organic traffic would have published broader, shallower pieces targeting high-volume keywords. That is the wrong target in this market. Aumata's cluster-first planner let the strategist narrow coverage to the exact thesis questions the firm is known for, then publish with enough depth to be the source answer.

What happened

The engagement is not measured in traffic multiples. It is measured in topical authority and AEO presence. The firm's named frameworks began appearing in model responses on the specific enterprise questions they advise on. Inbound conversations started opening with "your framework on carrier consolidation came up when I was researching this" rather than "I found you on Google". That is the signal.

Organic SEO did improve, but it is a secondary outcome here. The primary win is a compounding library of cited, AI-readable thesis content that shows up when sophisticated buyers do their pre-RFP research, whether that research happens in a browser or in a chat window.

The mechanics

• • Cluster as thesis: each pillar was a named framework, not a generic overview.
• • Daily AEO tracking: LLM mention share-of-voice measured daily alongside classical SERP position.
• • Schema-first drafting: every piece shipped with schema markup, named frameworks, cited data, and AEO answer sections.
• • Narrow and deep: fewer clusters, more depth per cluster. No keyword expansion into topics the firm does not actually advise on.
• • Primary-source references: every major claim anchored to a cited source, which increases the probability of model pickup.
• • Strategist review on every piece: enterprise buyers spot generic content instantly. Nothing auto-published.

"Our buyers are not finding us through blog posts. They are finding us when their research tool surfaces our name as the source. Aumata understood that from day one. The strategist talked about AEO share-of-voice before I had a vocabulary for it, and built the content program around that goal. The pipeline reflects it."

Operator, Enterprise Telecom Advisory