
Real estate agents are increasingly asking how to get recommended by AI platforms, as more buyers and sellers turn to tools like ChatGPT and Google’s AI Overviews for answers. The opportunity is real, but many professionals do not know what these systems actually look for when making recommendations.
According to a recent guide for real estate professionals, AI recommendation is not as complicated as many think. The key is understanding what signals these systems use to determine credibility and relevance in a given market.
Start with a digital footprint audit
Before improving visibility, these individuals need to understand their current position. Most have never taken a close look at how they appear across the internet. The system is already forming opinions based on websites, social media profiles, Google Business Profiles, reviews, directory sites and online mentions.
The first step is auditing all those touchpoints to identify messaging inconsistencies, missing authority signals, weak SEO opportunities and gaps in local authority positioning.
Related: Top tips for selling your home quickly
The thinking goes that you can’t improve what you don’t measure.
One recommended approach involves asking an AI tool to act as a digital footprint expert. The instruction should request analysis of search results, website content, Instagram, Facebook, LinkedIn, YouTube, Zillow, Realtor.com and the Google Business Profile. It should ask for inconsistencies, areas where the agent appears generic, ways to strengthen local authority, and recommended authority-building content.
Optimize your Google Business Profile
A recurring theme in AI recommendations is the importance of these profiles. Consumers still Google agents. AI still references Google data. And Google reviews remain one of the strongest trust signals available online.
One expert suggests this is among the highest-return activities a professional can complete, because it strengthens both traditional search visibility and AI credibility. The suggested instruction asks for analysis of weak areas, suggested keyword optimizations, service descriptions, frequently asked questions, photo recommendations, categories, a review strategy, weekly posting ideas, and an optimized business description.
Related: What material should I choose for gutter replacement?
The same query should also request 10 SEO- and AEO-optimized Google Posts, review request templates, and a checklist to improve local search ranking. These professionals need to insert their specific market area.
Create a bio AI can actually understand
Most real estate bios are written to impress people, but many end up sounding the same. The system looks for something different. It wants clarity. It wants to know where you work, who you serve, what you specialize in and why consumers trust you.
This third instruction helps create consistency across every platform while reinforcing authority. When the system sees the same themes repeated across a website, social media channels and Google Business Profile, it gains confidence in who the agent is and what they do.
The query asks the AI to rewrite the agent’s bio to establish local authority, optimize for AI search and recommendation systems, include trust-building language, sound authentic, and position the agent as the go-to expert without sounding overly salesy. It should include suggested keywords and SEO recommendations for each platform.
Related: DSCR Loans: Financing Real Estate Based on Property Performance
Discover what buyers and sellers are already asking
One of the biggest mistakes professionals make with content is talking about what they want to talk about instead of what consumers actually want answered. The best material answers real questions. Most AI recommendations happen because a piece of information provides a useful answer to a specific query.
This instruction helps uncover the top questions buyers and sellers are asking in a given market, along with the fears, frustrations and motivations behind those questions. Once they understand what people are searching for, creating content becomes dramatically easier.
The query asks for the top 25 questions buyers are asking online, the top 25 questions sellers are asking, the emotions behind those questions, the type of content AI platforms are most likely to recommend, Google Business Profile post ideas, and suggested hooks and calls to action.
For agents who have not looked at their digital presence through AI’s eyes, these instructions offer a starting point. The systems are not mysterious. They are looking for consistency, authority signals, and content that actually answers what people are typing into search bars. That is something any agent can work on.
