How do LinkedIn, press and third-party sources shape AI recommendations?

We look at how LinkedIn, press and third-party sources shape AI recommendations, what citation research shows and which source to prioritize when.

We look at how LinkedIn, press and third-party sources shape AI recommendations, what citation research shows and which source to prioritize when.

We look at the three different reasons a brand is missing from AI answers, their symptoms, the order of diagnosis and how each gap is closed.

We look at the six links a brand needs to enter AI answers, the real technical counterpart of each link and how to find the weakest one.

We look at what B2B decision simulation with synthetic data shows compared with focus groups, what academic research says, and how results are validated.

We look at why the same brand appears differently in the AI questions of each buying group member, and how a Persona GAP Analysis turns that difference into action.

We break down the four components of a decision question, where buyer questions are collected from, and how a persona × stage map is built and read.

We explain why keyword rankings can't measure AI visibility, which indicators a decision-question-based measurement uses, and how Recro's four-pillar simulation works.

We look at why “alternative to X” is the query closest to a purchase, and how local SaaS brands earn a place in its answer.

We look at how shippers ask AI for logistics providers, and why specialist firms are often missing from the list.

We look at how law and consulting firms that can't name their clients build the trust AI recommendations rely on.