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Built in New York and Bangalore

Your next renter is asking AI. Be the answer.

Apartment search doesn't click the way it used to. Renters ask an AI, it names a few communities, and we track whether yours is one of them.
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AI Marketing
The LexingtonCommunityPortfolio
Responses analyzed 1,24012%vs last week
Sources tracked 864vs last week
Attributed citations 9%0.6%vs last week
Share of voice 11%2.4%vs last week
Share of voice How often AI names each community
1Riverside Commons26%
2The Harrington19%
3The Lexington11%
Visibility breakdown How well the engines describe The Lexington
Location81%
Pricing68%
Amenities44%
Share of voice by model Where The Lexington is named
DetailedSimple
20%15%10%5%0%
Daily share of voice Share of voice trend, by day
Riverside CommonsThe HarringtonThe Lexington
30%20%10%0%
Sep 15Sep 16Sep 17Sep 18Sep 19Sep 20Sep 21

Start with the question a renter asks.

The same question goes to every engine. Back come the answers, the sources behind them, and a schedule that keeps it current.

We're a couple with a golden retriever, moving to Jersey City in November. Two-bedroom under $3,800, near the Journal Square PATH, with in-unit laundry and parking. Where should we tour first?

ChatGPT
The Lexington

Two blocks from the PATH, dog-friendly, in-unit laundry and a garage. Two-bedrooms from $3,650, November move-ins open.

Riverside Commons

Eight minutes on foot, larger floor plans, a rooftop. Dogs welcome with a breed list; parking is a waitlist.

Park & Shore

Newest of the three, parking included, at the edge of your walk. Two-bedrooms under $3,800 go quickly.

SourcesStreetEasy, Zillow, Redfin, Apartments.com

See your market the way the engines do.

Renters are asking AI for apartments. The question is whether your communities show up, and each view answers part of it.

  • Citation map

    Which sources each engine trusts, and how much comes from your own site.

    ZillowStreetEasyLthelexington.comReddit

  • GEO readiness

    One score per community: found, cited, described accurately, and recommended.

    Riverside Commons84
    The Lexington6 pts
    72/ 100
    Found
    Cited
    Described
    Recommended
    Recommended by 2 of 6 engines

  • Visibility breakdown

    What the engines say when they name you, scored on price, place and amenities.

    ChatGPT on The Lexington

    “Two blocks from the Journal Square PATH, with two-bedrooms from $3,650 and in-unit laundry.”

    Place81
    Price68
    Amenities44

  • Competitive intelligence

    Who gets recommended instead, and what they do that you do not.

    1RRiverside Commons26%
    2HThe Harrington19%
    3LThe Lexington11%
    What Riverside does that you do not
    • Pet policy on every listing
    • Parking listed on Zillow

  • Priority actions

    What to change, ranked by how many engines it should move. Next run checks it.

    Action 1 of 6High impact
    Publish a structured availability page

    Four engines answer availability questions from listing sites, not from you.

    4 enginesMark done

  • Content gaps

    Where the sources disagree about you, what is missing, and what is out of date.

    Pet policy3 issues
    Lthelexington.comDogs and cats welcomeYour site
    ZillowNo petsConflict
    Apartments.comCats onlyOut of date
    Google MapsNot listedMissing

Know the day an answer changes.

When an engine starts recommending a neighbour, or stops recommending you, your team hears the same day.

  • Gemini stopped recommending The Lexington

    For pet-friendly searches. Riverside Commons took the spot; a pet policy that differs by source is the likely cause.

    Today, 9:12 AM

  • Perplexity cited thelexington.com

    First time your own site was the source for a parking question. The new availability page was read within a week.

    Yesterday

  • The Harrington moved to third in ChatGPT

    Down one place for luxury searches near the PATH. Your position is unchanged, and Park & Shore moved up.

    Sep 19

A loop that runs every week. Not an audit that runs once.

The engines are the judge. Every run is compared to the last, engine by engine and community by community.

  • Scan

    Every engine is asked what renters ask about your market, on schedule.

  • Spot

    Where you are left out, described wrongly, or beaten by a neighbour.

  • Act

    The pages to change, ranked by the answers each one moves.

  • Track

    The next run shows what moved, engine by engine, against last week.

FAQ

Short answers. Your account team has the long ones.

What is AI search, and why does it matter for leasing?

Renters increasingly ask an AI assistant which communities to consider rather than scrolling a listing site. The assistant answers with a short list and its reasons. If a community is not in that list, the renter may never see it.

How is this different from search engine optimization?

Search optimization competes for a position on a results page. This works on the answer itself: whether the engines can find your community, describe it accurately, and put it forward, and on the sources they read to decide.

Which answer engines are covered?

ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, DeepSeek, Meta AI and Mistral. Each is asked the same renter questions for your market, on the schedule you set.

Where do the engines get their information?

From pages they can read: listing sites, maps, review sites, community forums and your own website. The citation map shows which of these each engine leans on.

Do we need to change our website?

Often the highest-impact changes are on pages you already own: an availability page, an amenities page, structured data the engines can read. Recommendations tell you which pages, and why.

How is progress measured?

By running the same questions on the same schedule and comparing the answers: share of voice, rank in the market, and readiness per community. Change is measured, not assumed.

Renters don’t scroll anymore. They ask.

Search has a page two. An answer doesn't. See where your communities stand, and what would change it.
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2026