Quick Answer
How do buyers and sellers find real estate agents in 2026?
Key Takeaways
- In the model, 29% of consumers first discovered an agent on a real estate website or portal, 20% through a referral, 16% through search engines and 12% through social media.
- Discovery is not selection. 43% of buyers found the agent they actually used through a referral, and only 6% through a website (NAR, 2026).
- 74% of buyers interviewed only one agent before choosing (NAR, 2026), so being found and trusted early matters more than winning a comparison later.
- In the model, 68% of consumers checked reviews before contacting an agent, and 71% rated local market knowledge as important.
- 51% of modeled consumers used an AI assistant during their property research, mostly to understand the process, explore areas and compare homes.
- The modeled figures are illustrative, not Pinova survey results. NAR and Pew figures are cited separately.
About this model: the percentages labeled "modeled" in this report come from a simulated cohort of 500 US buyers and sellers, built to show how discovery, research and agent selection connect. They are not results from a Pinova consumer survey. Figures from the National Association of Realtors (NAR) and Pew Research Center are real published data and are cited where they appear.
Ask an agent where their last client came from and you will usually get one answer: "a referral," "Zillow" or "my website." The real path is rarely that simple. A buyer might see your name on a listing, search for you on Google, read your reviews, ask an AI assistant about your neighborhood and then call you because a friend said you were good.
This report models that full journey, compares it with what NAR’s survey data shows, and explains what agents should change in their marketing heading into 2027.
How the model works
The model follows 500 simulated US consumers, both buyers and sellers, through five stages:
- Initial discovery
- Online research
- Agent comparison
- Contact
- Agent selection
It tracks Google, property portals, agents’ own websites, social media and AI assistants such as ChatGPT, Gemini and Google’s AI Overviews.
The key design choice: discovery, research and selection are treated as separate events. Someone may discover an agent on a portal, research them on their website, read their reviews and finally call them because of a referral. Each channel played a part, but only one usually gets the credit.
Where people first discover real estate agents
Here is how the modeled consumers first came across an agent:
The first touch does not decide the outcome on its own. A buyer who first sees you on a listing will often search your name next, visit your website and read your reviews. The channel that introduced you should not get all the credit, and the channels that confirmed you should not get none.
How this compares with NAR data
NAR’s 2026 Home Buyers and Sellers Generational Trends report measures a different moment: how buyers found the agent they actually used. In that data, 43% found their agent through a referral and only 6% through a website. And 74% of buyers interviewed only one agent.
The two views fit together. Digital channels introduce agents to far more people than referrals do, but personal trust still decides a large share of final choices. And because most buyers talk to just one agent, the work of earning trust happens online, before the first conversation. For more on what people search at each stage, see what buyers and sellers search before choosing an agent.
The search journey covers many channels
Most modeled consumers used several sources before contacting anyone:
These activities overlap, so the percentages do not add up to 100%.
The lesson for agents is consistency. You might be very visible on Instagram, but if your website says little about your experience, your market or your services, people who check you out will struggle to choose you. Your name, specialty, service area, reviews and contact details should match everywhere someone might look.
AI search is now part of property research
AI assistants change how people research. Instead of typing a few keywords and opening several links, a consumer asks a full question, such as:
- "Which Austin neighborhoods have the shortest commute to downtown?"
- "What should I know before buying a home in Miami?"
- "How do I compare two homes in Denver?"
- "What should I look for when choosing a listing agent?"
- "What questions should I ask at a listing consultation?"
In the model, 51% of consumers used an AI assistant at some stage of their research. Among those users:
This shift also affects ordinary search. When Google showed an AI summary, users clicked a result 8% of the time, compared with 15% when no summary appeared (Pew Research Center, 2025). Fewer clicks means the pages that do get cited, or clicked, need to be the clearest and most useful answer available.
The opportunity is to publish clear, detailed, accurate answers to the questions your clients actually ask, so both search engines and AI tools can find and quote them. Our guide to the questions home buyers ask real estate agents is a good starting list, and what gets cited by AI shows which formats tend to be quoted.
How consumers decide which agent to trust
Being found earns you a look. Credibility decides whether someone reaches out. The model ranks five trust factors:
Your online presence should show more than a phone number. It should show:
- Knowledge of your local market
- An understanding of what buyers and sellers care about
- Relevant experience and recent results
- A clear specialty
- Easy ways to get in touch
- Genuine feedback from past clients
The goal of content and website work is not more page views. It is less uncertainty for someone deciding whether to trust you. Reviews matter in AI search too. See how Google reviews affect AI search for real estate.
From online research to first contact
This modeled funnel shows how 100 consumers who start researching narrow down to a consultation:
| Journey stage | Modeled index |
|---|---|
| Start property research | 100 |
| Use a digital information source | 92 |
| Compare several agents | 63 |
| Visit a shortlisted agent’s website | 46 |
| Contact a shortlisted agent | 28 |
| Schedule a consultation | 18 |
This is an illustrative funnel, not a measured benchmark. It counts website visits to a shortlisted agent after comparison, which is why it is lower than the 54% who visited any agent’s website at some point.
The point is simple: website traffic, discovery and new clients are three different results. Measure each stage on its own so you can see where people drop off.
What this means for SEO and GEO
A strong discovery strategy for agents rests on four foundations:
Traditional SEO. Useful pages for your services, listings, neighborhoods and local searches. Our comparison of AI search vs traditional SEO for realtors explains how the two differ.
Answer-first content. Clear, accurate, well-structured answers to specific buyer and seller questions.
Digital authority. Consistent business details, verifiable experience and evidence of real market expertise across your website, Google Business Profile and directories.
Website experience. A clear path from research to a property question or consultation request.
For AI search, also called generative engine optimization (GEO), make your website easy to understand, keep important facts easy to find and publish information that genuinely answers consumer questions. No format guarantees a place in an AI-generated answer. The goal is to be the most credible, useful source available. For a deeper look, see GEO for real estate agents.
What to prepare for in 2027
The model and the published data point to a few clear directions for next year:
More research happens before anyone contacts you. With AI summaries answering more questions directly on the results page, people arrive better informed and with a shorter list. Your content has to win the shortlist.
Portals are adding AI search of their own. Zillow and other portals are building AI tools into their search experience, which makes it even more important to have a presence you own. See what Zillow’s AI mode means for agents and real estate portals inside ChatGPT.
Reviews and consistency carry more weight. AI tools draw on reviews, directories and your own site to describe you. Inconsistent or thin information makes you harder to recommend.
Attribution gets harder, and more important. When people discover you in one place and contact you from another, you need to record how every new client actually found you.
How agents should respond
- Build your own website instead of relying only on portals
- Create local market and neighborhood content
- Keep your name, specialty, area and contact details consistent everywhere
- Publish helpful guides for buyers and sellers
- Ask for reviews after every closing and respond to them
- Make it easy to ask a question or book a consultation from any page
- Record how every new client discovered you
The strongest presence keeps giving people a reason to trust you after the first time they find you. A Pinova website gives you a site you own, with IDX search and community pages, and Pinova’s SEO and GEO service builds the answer-first content that helps you show up in Google and AI search.
Conclusion
The way people find real estate agents now spans search engines, portals, social media, agents’ own websites and AI assistants. The agents who stay consistent and genuinely useful across all of them will be in the conversation more often.
Heading into 2027, the goal is not just to rank for more keywords. It is to be the credible answer when someone starts looking for an agent they can trust.
