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Industry · Real Estate

Be the agent AI recommends in your market.

Buyers and sellers ask AI which neighborhood, brokerage or tool to trust. SearchFIT shows who gets named and helps you publish the local guides answers draw on.

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A bright Brooklyn brownstone living room staged for a viewing

The story

Open house season, coast to coast

A brokerage with teams in Brooklyn and Los Angeles. An illustrative scenario.

A Los Angeles hillside home with a pool at golden hour and the city in the distance

8:00 am

A seller asks about an assistant

They asked Perplexity for top agents in Park Slope. Two competing brokerages were named.

10:30 am

Neighborhood prompts go on tracking

The team tracks prompts for Brooklyn and LA neighborhoods, and sees who is named on each engine.

1:15 pm

Local guides get drafted

SearchFIT drafts neighborhood guides for both offices. Agents add local detail before publishing.

7:30 pm

The LA team checks Reddit

Social Listening surfaces threads asking about moving to the Eastside, with a suggested reply to start from.

The maths

What missing from AI answers costs a brokerage.

A typical US residential brokerage, worked out in the open. Cited figures link to their source, and every assumption says so.

2,000People buying or selling near you a year(assumption)

82%US home buyers and sellers who use AI for housing market information¹

50%Answers that name a competitor, not you(assumption)

3%Of those, who would have chosen you(assumption)

$12,000Commission per transaction(assumption)

Lost every year$295,200

Won back when SearchFIT gets you named$88,500Assumes 3 in 10 of those clients choose you once you are named (assumption)

An estimate, not a promise. The 82% is from a Realtor.com survey of 1,000 US adults who were buying or selling a home, or had in the past two years, taken in August 2025. Realtor.com is a listings site, the figure covers any use of AI for housing information rather than choosing an agent, and the same respondents still named agents their most trusted source. Buyer and seller volume, the share of answers naming another brokerage, the share who would choose you, commission and the 3 in 10 are assumptions.

1. Realtor.com, survey of 1,000 US adults buying or selling a home (PR Newswire), 2025

Features

What SearchFIT does for real estate teams.

AI Tracking

Track neighborhood and “best agent in” prompts for each market you serve.

Content

Generate neighborhood guides and explainers, then publish to your site.

Social Listening

Find Reddit and Quora threads from people planning a move, with suggested replies.

Multi-brand workspaces

Run each office or team as its own brand, with its own prompts and connectors.

Analytics

See which area pages gain or lose clicks, next to AI Visibility.

Technical Audit

Find slow listing pages and missing structured data.

Demo

The question your buyers ask.

An example answer from an AI engine. SearchFIT tracks prompts like this one and shows who gets named.

Demo

Perplexity

What are the best websites to search for homes for sale?

Zillow is the most cited destination for browsing listings, given its large inventory and estimate tools. Redfin also comes up often, especially for buyers who want lower fees and a more integrated brokerage experience.

ZillowRedfin

Integrations