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LLM Visibility Researcher
A research agent that measures how visible a brand is inside AI-generated answers, then produces a content plan to improve it. It answers the question every brand is starting to ask: what do the LLMs actually say about us, and what do they say about our competitors?
As buyers start asking AI assistants for recommendations, being invisible in those answers is the new page two of Google. This quantifies the gap and hands over a plan to close it.
Where this fits
- A new service line for agencies
- AEO is the question clients are already asking and most agencies cannot answer with data. This is the deliverable that answers it.
- B2B SaaS category defense
- Find out whether you show up when a buyer asks an assistant to recommend tools in your category, and what the models say instead.
- Content roadmap input
- The output is a pillar-content plan tied to the specific questions where the brand is currently missing from the answer.
How it works
- 1Asks the questions
Takes a list of brand and industry questions and puts each one to four different LLMs, to see whether the brand shows up in their answers at all.
- 2Scans the landscape
Crawls the client's site and their competitors' sites to ground the analysis in real positioning.
- 3Analyzes visibility
Produces a read on the brand's LLM visibility against its competitive set, and where it is being left out of AI answers entirely.
- 4Recommends content
Delivers content recommendations and a pillar-content plan, packaged as a custom GPT or Claude project the team can keep using.
Want something like this for your team?
This is the kind of thing I build for clients. Tell me what's eating your team's week and I'll tell you honestly whether it's worth automating.