AI Research

Perplexity for Real Estate: Review & Guide

RW
Ryan Wanner

AI Systems Instructor • Real Estate Technologist

Quick Answer: Perplexity is an AI research tool that provides sourced, cited answers for market research, neighborhood data, and client questions. Best for agents who need accurate, verifiable information rather than generated content. Rated 8.0/10. $0 free / $20/mo Pro.

Quick Facts

Rating
8.2/5
Pricing Free tier available; Pro $20/mo
Best For Agents who need real-time research with cited sources for market analysis, neighborhood reports, and client presentations
Website Visit
Try Perplexity

What Perplexity Does for Real Estate

Perplexity is a research-first AI tool that cites its sources—which makes it uniquely valuable for real estate agents who need credible data. While ChatGPT and Claude are better at writing, Perplexity is better at finding and synthesizing current information with attribution. Use it for market analysis, neighborhood reports, competitor research, and any task where your clients need to trust the data. The Pro version adds access to multiple AI models and deeper research capabilities.

Every response includes numbered citations linking to the source material. When you tell a client that average days on market dropped 15%, you can show them exactly where that number came from.

Pro Search asks clarifying questions, searches multiple sources, and compiles comprehensive research reports. Perfect for neighborhood deep dives or market trend analysis.

Organize research into themed collections—one per neighborhood, listing, or client. Share collections with team members or reference them later for market updates.

Pro subscribers can switch between GPT-4o, Claude, and other models within Perplexity. Use the best model for each task while keeping the citation and research framework.

Upload documents, images, and data files for AI analysis. Combine your own data with web research for comprehensive market reports.

Context Cards + HOME Framework

How AI Acceleration Teaches Perplexity

At AI Acceleration, we teach agents to use Perplexity as their research layer—feeding its cited findings into ChatGPT or Claude for polished content creation. Perplexity finds the facts; your writing tool makes them sound like you.

1

Research with Pro Search

Use Perplexity Pro Search to gather market data, neighborhood information, or competitive analysis. Let it ask clarifying questions to narrow results.

2

Verify Citations

Click through source citations to verify key statistics. Perplexity reduces hallucination but doesn't eliminate it—spot-check numbers that will go to clients.

3

Organize in Collections

Save research to a Collection for the relevant neighborhood, client, or project. This builds a reference library you can revisit for listing presentations.

4

Feed into Your Writing Tool

Take verified facts and data from Perplexity and use them as Materials in your HOME Framework prompt within ChatGPT or Claude. The research is accurate; now make it sound like you.

Pros & Cons

Pros

  • Every response includes cited sources—builds client trust
  • Pro Search produces thorough research reports automatically
  • Real-time web access ensures current market data
  • Collections organize research by neighborhood, client, or project
  • Pro plan gives access to multiple AI models (GPT-4o, Claude, etc.)

Cons

  • Writing quality is functional, not polished—not ideal for client-facing copy
  • Citations are sometimes from low-authority or outdated sources
  • Free tier limits Pro Search queries significantly
  • Not designed for creative tasks like listing descriptions or social media
  • Interface is research-focused—less intuitive for agents who want a simple chatbot
Real-World Example

Perplexity in Action

Prompt

I'm a real estate agent preparing a listing presentation for a seller in the 12 South neighborhood of Nashville, TN. I need:

1. Median home price in 12 South for 2025 vs 2024
2. Average days on market for the last 6 months
3. Any new developments or infrastructure projects within 1 mile
4. Top 3 amenities/features buyers in this area care about most
5. How 12 South compares to nearby neighborhoods (Belmont, Edgehill) on price per square foot

Cite all sources.

Output

Here's a comprehensive overview of Nashville's 12 South market for your listing presentation: **Median Home Price** The median sale price in 12 South reached $892,000 in 2025, up from $845,000 in 2024—a 5.6% year-over-year increase [1][2]. This outpaced the broader Nashville metro increase of 3.8% [3]. **Days on Market** Over the past six months (Aug 2025–Jan 2026), average DOM in 12 South was 18 days, down from 24 days in the same period the prior year [2]. Well-priced homes under $900K are moving in under 10 days [4]. **Nearby Development** The 12 South Flats mixed-use project (retail + 48 residential units) broke ground in October 2025 at the former Sevier Park lot [5]. Metro Nashville also approved a protected bike lane extension connecting 12 South to the Gulch, with construction expected mid-2026 [6]. **Top Buyer Priorities** Based on search data and agent surveys: (1) walkability to restaurants and retail on 12 South Ave, (2) character/charm of older homes with renovations, (3) proximity to Sevier Park and Belmont University [7][8]. **Price Per Sq Ft Comparison** - 12 South: $485/sq ft - Belmont/Hillsboro Village: $420/sq ft - Edgehill Village: $395/sq ft 12 South commands a 15-23% premium over adjacent neighborhoods, driven by walkability and retail density [2][9]. [Sources listed with numbered citations]

This is Perplexity at its best: structured, sourced, and ready to drop into a listing presentation. The agent would verify the key numbers against MLS data, then use the sourced insights as Materials in a HOME Framework prompt to create the polished presentation copy in ChatGPT or Claude.

Perplexity Pricing

Current pricing as of

Free

$0

Pro

$20/month

Enterprise

Custom pricing

Alternatives to Perplexity

Other tools real estate agents use for similar tasks.

Learn the Frameworks

Related Articles

Frequently Asked Questions

Should I use Perplexity instead of ChatGPT?
Not instead of—alongside. Perplexity is best for research: finding current market data, neighborhood statistics, and sourced information. ChatGPT (or Claude) is best for writing: turning that research into listing descriptions, emails, and marketing content. The AI Acceleration workflow uses Perplexity as the research layer that feeds into your writing tool.
Can I trust Perplexity's market data?
More than unsourced AI data, but less than MLS data. Perplexity cites its sources, so you can click through and verify. For client presentations, always cross-reference Perplexity's findings against your MLS system. Use Perplexity for the narrative context (neighborhood trends, development projects, buyer preferences) and MLS for hard transaction data.
Is Perplexity Pro worth $20/month for real estate agents?
If you regularly prepare listing presentations, buyer consultations, or market reports, yes. The unlimited Pro Search alone saves hours of manual research. If you primarily need AI for writing tasks (listing descriptions, social media, emails), your $20 is better spent on ChatGPT Plus or Claude Pro.

Or start with free AI insights for real estate: