Blog

See Who's Winning AI Discovery Near Your Community

Since launching Discover, the most common question we've heard from operators is some version of the same thing: "I can see my score, but who's beating me and what are they doing differently?"

Now you can find out. We just shipped three major updates to Peek Discover: Top Performing Competitors, Areas of Concern, and Timeseries Charts. Discover is now both an AI visibility measurement and a competitive intelligence tool.

How to find your top AI discovery competitors

A crucial step in improving AI visibility is understanding which nearby communities are being recommended by AI models for the same renter queries you want to win. Without that context, you're optimizing blind.

Top Performing Competitors shows which communities near yours are dominating AI recommendations, broken down by source and category. For each competitor, you get direct links to their actual content, so you can see exactly what's getting them cited.

This matters because AI discovery isn't a single leaderboard. A community might outperform you on pricing queries in ChatGPT but fall behind on commute-related prompts in Gemini. Top Performing Competitors breaks this down so you can see the full picture: who's winning where, and what content is driving those citations.

No more guessing what "good" looks like. Click through to a top performer's listing or website and you'll see the specific language, data points, and structure that AI models are pulling from.

How to prioritize AI visibility improvements for your community

Knowing your score is one thing. Knowing what to fix first is another.

The new Areas of Concern feature analyzes your performance gaps across every category and source, then ranks them by potential impact. Instead of sifting through raw data trying to figure out where to start, you get a prioritized list of opportunities.

Our data consistently shows that pricing content is the single biggest lever in AI discovery. Top performers lead competitors by 46% on price-related queries, and 91% of communities underperform on price content alone. Commute and location data is the second biggest differentiator, with a 35% gap between top performers and the rest. Areas of Concern tells you exactly which of these gaps applies to your community and how much fixing each one could move your score. For a full breakdown of what top-performing listings do differently, see our step-by-step guide to improving your AI visibility score.

Track your AI visibility over time

AI discovery isn't static. The models update, data sources shift in importance, and your competitors are making changes too. Timeseries Charts track your Discover score over time so you can see whether the optimizations you're making are actually working.

You'll also see how source importance is evolving. If ChatGPT starts weighting a particular ILS more heavily, or if Claude shifts how it pulls from property websites, you'll see that reflected in your trend data before it shows up in your lead flow.

Start monitoring AI discovery for your community

All three features are live in Discover today. If you're already a Peek Discover customer, log in and check your updated report. If you want to see what the new features look like, explore a live demo report. When you're ready to see your own communities, book a demo with our team.

Key takeaways

Top Performing Competitors shows which communities near yours are winning AI recommendations, broken down by source and category, with direct links to the content driving those citations.
Pricing content is the single biggest lever — top performers lead by 46% on price queries, and 91% of communities underperform on price content alone.
Areas of Concern ranks your performance gaps by potential impact so you know what to fix first.
Timeseries Charts track your score over time so you can see whether optimizations are working and catch regressions early.

Frequently asked questions

How do I find out which communities are outperforming mine in AI search?

Peek Discover's Top Performing Competitors feature identifies which communities near yours are being recommended most often by ChatGPT, Claude, Gemini, and Perplexity. It breaks down performance by source and category, and provides direct links to the competitor content that's getting cited, so you can see exactly what they're doing differently.

What should I fix first to improve my community's AI visibility?

Pricing content is consistently the single biggest lever. Top performers lead competitors by 46% on price-related queries, and 91% of communities underperform on price content — not because rents are too high, but because AI models can't find the pricing data. Commute and location data is the second biggest differentiator, with a 35% gap between top performers and the rest.

Does AI visibility change over time?

Yes. AI models update regularly, data source weighting shifts, and competitor content changes. A community that's visible today can lose visibility if a competitor improves their content or if an AI model changes how it weighs certain sources. Continuous monitoring is the only way to know whether your optimizations are working and catch regressions early.

‍