Automate Commercial Real Estate Share of Voice Tracking

Most CRE marketing teams rely on general SEO tools like SEMrush or Ahrefs for performance measurement. These platforms are excellent for tracking keyword rankings on a traditional search engine results page. They can tell you if your website is position #3 for “office space in Miami,” but they cannot tell you if an AI search engine is citing your market report within its generated answer about Miami's office vacancy rates.

In practice, a brokerage might publish an in-depth Q3 market report on Dallas-Fort Worth industrial properties. Their team sees a high ranking in Ahrefs, signaling success. However, when a potential client asks an AI engine, “What is the current cap rate for industrial properties in DFW?”, the AI generates a direct answer citing data from a competitor's blog post or a CoStar news article. Your firm's visibility is high, but its share of voice in the actual answer is zero. You are present but not authoritative.

The structural problem is that legacy SEO tools were built for a world of ten blue links. Their crawlers scrape search results to check rankings, not to parse the content of AI-generated paragraphs and attribute the sources within them. Furthermore, valuable CRE data from platforms like Yardi or Reonomy is often siloed or requires authenticated access, making it invisible to these general-purpose crawlers. Tracking real share of voice in AI search requires a system built to monitor answers, not just links.

The first step is a discovery audit to define what share of voice means for your firm. We would map your key entities: the top 15 competitors, 10 most important properties or listings, and the core research topics you publish. This entity list becomes the foundation for both content generation and monitoring, ensuring the system focuses on what drives your business.

We built our AEO pipeline using Python, Claude, and Gemini APIs because no off-the-shelf tool could perform these functions. For a CRE firm, we would adapt this architecture. A Queue Builder stage would scan industry forums and use the Brave Search API to discover new questions about your target submarkets. A Generate stage would create hyper-specific pages answering these questions, formatted to be easily ingested by AI models and citing your firm's proprietary data. The Validate stage, which uses a Gemini Pro API check, ensures every statistic is accurate before it goes live.

The delivered system is a content and monitoring engine that runs 24/7. New pages answering emergent questions are published in under 2 seconds using Vercel ISR and are immediately submitted to search engines via IndexNow. You receive a dashboard showing which of your properties, reports, and executives are being cited, which competitors are gaining traction, and what new topics are becoming important in your markets. The system actively builds authority, it doesn't just passively track rankings.