AI Visibility Audit Example: Real Estate Agents (Relocation / Luxury)
This page demonstrates our diagnostic process for Real Estate Agents (Relocation / Luxury). We measured how AI systems described a typical business in this category, identified missing signals, and documented the changes needed to become the trusted recommendation.
Prompt Set Used
We tested how AI answers the most common questions in this industry:
- "Do I need a real estate agent?"
- "How do I choose an agent?"
- "What should I look for in an agent?"
- "Is it worth using an agent?"
What AI Answered Before
Before optimization, AI systems provided generic, non-committal answers that avoided naming specific providers. Responses lacked clear decision frameworks, jurisdiction-specific guidance, and structured explanations of risks and timelines. AI tended to default to vague phrases like "it depends" or "consult a professional" without providing actionable context.
Key issues identified:
- Generic language that didn't differentiate between providers
- Lack of clear decision steps or evaluation criteria
- Missing jurisdiction-specific or industry-specific terminology
- No structured explanation of risks, timelines, or process
What We Changed (Signals)
We restructured the website to provide clear, extractable signals that AI systems trust:
- Service definition clarity: Explicit definitions of services, processes, and eligibility criteria using consistent terminology
- Consistent terminology: Standardized entity names and industry-specific terms throughout all content
- FAQ coverage aligned to prompts: Direct answers to common AI questions, structured as question-answer pairs
- Structured data completeness: JSON-LD schema that mirrors visible content and declares entity relationships explicitly
- Internal linking + hub reinforcement: Clear internal link structure that establishes the page as a canonical explainer node
What AI Answered After
After optimization, AI systems began providing structured, decision-focused answers that included clear evaluation steps, jurisdiction-aware guidance, and specific risk assessments. Responses became more actionable and trustworthy, with AI systems able to reference the business by name when explaining options.
Key improvements:
- Structured decision frameworks with clear evaluation steps
- Industry-specific terminology and jurisdiction-aware language
- Explicit risk and timeline explanations
- Business name mentioned when authority signals are clear