Meet Peek Discover: AI Discovery Monitoring for Multifamily
Meet Peek Discover: AI Discovery Monitoring Built for Multifamily
Renters are asking ChatGPT where to live. They're asking Claude which apartments allow large dogs near their office. They're asking Gemini for a two-bedroom under $2,000 close to transit.
And most communities have no idea whether they show up in those answers or not.
Why most apartments are invisible in AI search
We started testing AI discoverability in mid-2025 with a simple goal: understand a growing source of lead traffic to our unit-level 3D touring platform. As we spent more time bringing our reporting solution to owners and operators, we kept hearing the same questions: Which ILS platforms matter for AI discovery? Does my website vendor make a difference? Why are my competitors showing up and I'm not?
The early data was striking. AI visibility doesn't play by the same rules as traditional search. There's no single #1 spot. Every AI model behaves differently. And most communities we tested had zero visibility across all of them. Not ranked low. Completely absent.
We also found that the AEO and GEO tools on the market weren't built for this problem. They were designed for consumer packaged goods and e-commerce, where the question is "does my brand get mentioned?" That works if you're Nike. It doesn't work in multifamily, because renters don't search by brand. Nobody types "recommend a Maple Creek Properties apartment." They search by life situation: "pet-friendly two-bedroom near Emory with in-unit laundry under $1,800." The unit of measurement can't be the portfolio or the brand. It has to be the individual community.
That's why we built Peek Discover: the first AI discovery monitoring tool designed specifically for multifamily, measuring the one thing no other tool in the industry can: how visible your individual communities are when renters ask AI for apartment recommendations.
How AI discovery monitoring works for multifamily
Discover automatically tests your communities against the actual prompts and conversations renters are having with ChatGPT, Claude, Gemini, and Perplexity. It uses the same language renters use every day, across thousands of topics, and reports back with a clear picture of where you stand.
AI Discovery Score. A single number showing how visible each community is across all major LLMs, benchmarked against nearby competitors. You also get platform-specific scores for ChatGPT, Claude, Gemini, and Perplexity, so you can see exactly where you're strong and where you're falling behind.
Source-by-source breakdown. Which data sources are driving your recommendations and which are blocking them. Every AI model weighs sources differently: ChatGPT leans on ILS data, Claude puts significantly more weight on property websites. Discover shows you exactly which sources matter for each model.
Competitor benchmarking. How your communities compare to nearby competitors across every AI platform. You'll see who's showing up in the conversations where you're not, so you know where the gap is and how wide it is.
What makes a community show up in ChatGPT
Even in our early analysis, patterns were emerging. AI models pull from a patchwork of data sources (ILS listings, property websites, review sites, neighborhood databases) and synthesize an answer based on how well your community's data matches a renter's specific question.
The communities that tend to surface share a few traits:
They describe themselves as part of a neighborhood, not a product. "In the heart of Capitol Hill, where coffee shops meet urban trails" surfaces in AI answers. "Experience luxury living with exceptional amenities" does not. AI models prioritize specific, localized language over generic marketing copy.
They have clear, specific, up-to-date pricing. Our data shows 91% of properties underperform their competitors on price content, not because rents are too high, but because AI models can't find the pricing at all. Top performers lead by 46% on price-related queries. For a full breakdown of what top-performing listings do differently, see our step-by-step guide to improving your AI visibility score.
They maintain consistent data across multiple sources. Not just their ILS listing, but their property website, Google Business profile, and review sites. AI models cross-reference these sources, and inconsistencies reduce confidence in recommending a community.
This is a community-level game, not a brand-level one. And Discover is the first tool built to measure it that way. As we collect more data, we'll be sharing deeper findings on what drives AI visibility and what operators can do about it.
Key takeaways
- Most communities are invisible in AI search — not ranked low, but completely absent from ChatGPT, Claude, Gemini, and Perplexity recommendations.
- Generic AEO tools don't work for multifamily because they track brand mentions instead of measuring how individual communities show up in life-situation searches.
- Pricing is the biggest lever — top performers lead by 46% on price queries, and 91% of communities underperform on price content alone.
- Neighborhood-specific language and data consistency across ILS listings, property websites, and Google Business profiles are what AI models reward.
- Peek Discover is the only tool built to measure this at the community level across all major LLMs.
See how visible your communities are in AI search
AI discovery is growing fast. If you want to see what a Discover report looks like, explore a live demo report with real data. When you're ready to see your own communities, book a demo with our team.
Frequently asked questions
How do renters use ChatGPT to find apartments?
Renters are asking AI models natural-language questions like "pet-friendly two-bedroom near Emory with in-unit laundry under $1,800." The AI synthesizes data from ILS listings, property websites, review sites, and neighborhood databases to recommend specific communities that match. Unlike traditional search, there's no ranked list of links. The AI gives a direct answer, and if your community isn't in it, renters never know you exist.
What is AI discovery monitoring for multifamily?
AI discovery monitoring measures how visible individual apartment communities are when renters ask AI models (ChatGPT, Claude, Gemini, Perplexity) for recommendations. It tests your communities against real renter prompts across thousands of topics, scores your visibility, and shows which data sources and content are driving or blocking your recommendations.
Why don't generic AEO tools work for apartments?
Most AEO (Answer Engine Optimization) and GEO tools were built for consumer brands, where the goal is tracking brand mentions. In multifamily, renters don't search by brand. They search by life situation: neighborhood, budget, pet policy, commute. The unit of measurement needs to be the individual community, not the portfolio. Generic tools that track how often a brand name appears miss the queries that actually fill apartments.
What makes a community show up in ChatGPT recommendations?
Communities that surface in AI answers tend to share three traits: they describe themselves with neighborhood-specific language (not generic marketing copy), they have clear and current pricing data that AI models can find, and they maintain consistent information across multiple sources including ILS listings, property websites, and Google Business profiles. Our analysis shows top performers lead by 46% on price queries and 35% on commute-related prompts.