Capabilities: AI Visibility & Conversational Intelligence
Being known by AI is not the same as being part of the decision.
The short answer
This is the participation layer. Conversational Intent Intelligence groups the natural variations of a customer question around the decision they represent, so participation is measured at the decision level rather than treated as a single prompt result.
One prompt is not a market position. Checking your business in ChatGPT or another answer system once is an observation, not a benchmark. A business can be recognised by an AI system and still be absent from the answer a customer actually receives, because the answer is assembled around a decision rather than around a brand. Conversational Intent Intelligence groups the natural variations of a question around the decision they represent, so participation is evaluated at the decision level. Measure the decision, not merely the prompt. Goldeneye measures the answer, not the model's thoughts: the observable environment can be optimized and the outputs measured, but private model reasoning cannot be inspected.
The work itself
Not every engagement includes every capability. What is applied depends on the findings, and on which of those you decide are worth acting on.
Conversational Intent Intelligence
Grouping natural conversational variations around the customer decision they represent, so a decision is measured once rather than as dozens of unrelated prompts.
Competitive participation
Which businesses are currently included, considered or recommended in the decisions relevant to this category, and where this business sits among them.
Observable citations and representation
What is actually cited, included or repeated about the business, and whether that representation is current and accurate.
Decision attributes
The attributes an answer relies on for a given decision, and whether supporting evidence for those attributes exists and can be found.
Retesting and movement
Re-running the same measurement after action, so change can be described as movement along the ladder rather than as a claim.
How this connects to the findings
Goldeneye measures the answer, not the model's thoughts. What is observed becomes evidence, evidence supports a finding, and only a finding justifies action. Retesting the same decision is what establishes movement. Agent Readiness evaluates the conditions underneath participation and Conversational Intent Intelligence evaluates participation across the customer decision. Readiness explains why. Conversations show where.
What this strengthens in Agent Readiness
- 06AI Assistant Visibility
- Whether the brand surfaces accurately and competitively in goal-state AI queries.
- 07Goal-State Content
- Whether content matches real user goals across the journey in conversational, structured form.
- 04Citation Authority
- Press, reference sites, directories, backlink context, and descriptive depth.
Decisions this shows up in
Being described accurately when you are not the one describing yourself
“What do you know about this business?”
Choosing where to stay for a family beach weekend
“Where should we stay for a family beach weekend near Naples?”
Where this may be delivered
Outcomes this supports
The other capabilities
Next step
Which of this work applies to your business is decided by findings, not by preference. A check establishes them.