Research · market benchmark

Jersey City AI Visibility Report

64 buyer and seller questions, each asked four separate times, with every answer preserved — then classified for who was recommended and which sources were cited.

Prompts
64 buyer and seller questions
Repetitions
4 per question
Provider
ChatGPT (OpenAI)
Capture date
August 2026
Valid answers
Published with each benchmark (256 maximum)

What was measured

FieldValue
MarketJersey City, NJ · residential
ProviderChatGPT (OpenAI)
Questions64 buyer and seller questions, locked for the window
Repetitions4 per question
Maximum answers256
CaptureAugust 2026, raw answers preserved
ClassificationRecommended · mentioned · absent, per answer
AnonymizationAll teams anonymized — no publication permission on file
PublishedSeptember 2026
Last updatedSeptember 2026

Recommendation frequency

Answers recommending each observed team
Observed teamAnswers recommendingShare
The team (anonymized)4 / 2561.6%
Team A116 / 25645.3%
Team B52 / 25620.3%
Team C48 / 25618.8%
Team D40 / 25615.6%

A single answer can recommend more than one team, so shares may sum above 100%.

Measured factThe team was named at all in 8 / 256 answers.

Production compared with recommendations

ProductionMarket rankAnswers recommending
The team (you)$25.4M closed#8 by volume4 / 256
Competitor$17.1M closedUnranked116 / 256

Illustrative layout. Public benchmarks use verified production data and captured answers.

InterpretationVerified production and measured recommendation frequency diverge in this market. Why they diverge is investigated separately and is not settled by these counts alone.

A preserved answer

Question asked · repeated capture

Who is the best real estate agent in Jersey City for sellers?

ChatGPT (OpenAI)

Team A is named first for seller representation, with review counts and Jersey City activity cited as the basis. Team B and Team C follow, and two brokerage brands are offered as fallbacks. The team is not named.

Cited: zillow.com, realtor.com, compass.com

ChatGPT (OpenAI)

Asked again, the same question returns Team A first, followed by Team D, with listing-portal profiles cited as the basis. A brokerage brand closes the answer. The team is not named.

Cited: zillow.com, realtor.com, homes.com

Who sold the record-priced condo in Jersey City?The team was recommended in 4 of 256 answers and named at all in 8. All of them were record-sale questions. On every “who should I hire” question, the answer named someone else.

Counted fairly. Wins are shown alongside losses — the pattern across 256 answers is the finding, not any single answer.

Cited sources

DomainCitations recorded
zillow.com696
realtor.com680
compass.com304
building websites40
homes.com40
the team's own site0

Observed association, not causal proof.

Limitations

What this cannot prove

  • One market, one provider, one capture window.
  • Teams are anonymized; no client information is published without written permission.
  • AI answers are probabilistic — a rerun will not reproduce these answers exactly.
  • Nothing here proves why any team was or was not recommended.

How to cite this report

How to cite this page

Recommended First, Jersey City AI Visibility Report, Jersey City, NJ, captured August 2026, v1.0.

This edition reports Jersey City figures only. Do not combine them with figures from the Greenville, South Carolina edition — the two were captured as separate markets with separate question sets.

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