Challenge
As AI-powered search experiences became more common, the client noticed that potential customers were increasingly receiving answers directly from AI assistants rather than visiting websites. The company wanted to understand how visible its brand, experts, services, and market insights were across AI platforms and identify opportunities to improve its presence in AI-generated responses.
What We Did
We deployed a combined AEO/GEO + data engineering solution focused on structure, entities, and machine readability:
1. Entity-first content architecture
- Mapped all core entities: asset class → subtypes → markets → investment criteria
- Unified terminology across research, insights, and portfolio pages
- Eliminated contradictions and ambiguities that confuse LLMs
2. Schema & structured markup
- Implemented entity-rich schema across 40+ high-value pages
- Added machine-readable metadata for properties, markets, amenities, valuations, and risk factors
- Built a consistent taxonomy and knowledge graph alignment
3. Crawlability & content engineering
- Rebuilt critical pages for clarity, hierarchy, and semantic structure
- Removed indexing blockers, duplicated structures, and outdated templates
- Optimized internal linkage for machine understanding, not just human UX
4. AI Visibility Data Pipeline
- Built automated checks for entity coverage, schema integrity, and AI-readiness
- Deployed a monitoring system to track content ingestion across LLM crawlers
Benefits
Improved visibility in AI-generated answers
Better discoverability of the firm’s services and expertise
Increased opportunities for lead generation
Clear roadmap for strengthening AI search presence
Results (within 60 days)
AI Visibility
- From 0–2% visibility in AI answers → up to 28–34% inclusion in responses for queries related to their asset class
- Their market insights began appearing as cited or paraphrased sources in ChatGPT and Perplexity
- LLMs shifted from generic public data to their definitions, frameworks, and terminology
Search Performance
- +40% growth in impressions for entity-rich pages
- +24% increase in organic visits to high-value research content
- Dramatic improvement in long-tail queries tied to asset-class expertise
Knowledge Authority
- LLMs began treating the firm’s content as a primary point of truth in their niche category
- Internal teams reported significantly better AI-powered research outputs due to improved model understanding of their materials
- The firm gained a competitive visibility advantage, as competitors lacked structured, entity-aligned content
If you’d like to understand how your own website can become a trusted, AI-visible knowledge source across ChatGPT, Gemini, Copilot, and Perplexity, we’ll walk you through your current visibility, structural gaps, and fastest improvement opportunities during our free assessment call.
Book Your AI Visibility Assessment
The project was done in 2025