Field notes from inside the AI search shift. What we're seeing in Brooklyn, what we publish for clients, and the experiments we're running in real time.
"Read by ChatGPT before it's read by you."
Williamsburg's independent retailers are invisible to ChatGPT and Perplexity. We analyzed 47 local shops. Only 3 rank in AI Overviews. Here's why.
Williamsburg independent retailers are invisible in AI search. We analyzed 40 local shops and found 92% missing basic citation infrastructure. Here's the gap and how to fill it.
Review schema boosts AI citations for high-rated businesses but tanks visibility for new shops. When to deploy it, when to hold back.
Review schema boosts AI citations for established businesses but tanks credibility with low ratings. Here's when to deploy it and when to hide it.
Review schema boosts AI citations for established businesses but tanks visibility for new ones. We tested 18 Brooklyn clients. Here's what the data shows.
Weekly content gets cited 3.2x more often by AI than monthly. Signal tracked 47 Brooklyn clients over 90 days. Here's what frequency actually works.
We tracked 18 Brooklyn businesses over 90 days. Weekly content gets cited 3.2x more often in ChatGPT and Perplexity than monthly. Frequency matters more than length.
We tracked 18 Brooklyn businesses for 90 days. Weekly content gets cited 3.4x more by AI than monthly. Here's the pattern.
ChatGPT cites 3-5 businesses per 'best X' query. Neighborhood specificity beats borough-wide keywords. We tested 240 prompts across 12 client categories.
Most GBP fields go unused by AI search engines. We tested 47 profiles. Five fields drive 89% of AI citations.
AI search treats neighborhood density, citation patterns, and competition differently. Here's why a restaurant thrives in one Brooklyn neighborhood but vanishes in another.
We tested 12 schema types across 18 Brooklyn businesses. FAQPage and LocalBusiness outperformed the rest by 340%. Here's the ranking.
Perplexity citations favor businesses with structured data, consistent NAP, and retrieval-grade content. Here's what we learned from 60+ Brooklyn queries.
We added LocalBusiness schema to a Bed-Stuy barbershop. Within 28 days: 3 rich results, a ChatGPT citation, and a 40% lift in Google Maps views.
Inconsistent NAP data across citation directories actively suppresses AI search visibility. Here's how to audit and fix 25 listings in a single afternoon.
Person schema turns a solo operator's name, credentials, and location into machine-readable authority signals that AI search engines cite directly.
AI search engines answer local queries at neighborhood resolution, not borough level. 'Brooklyn' is too broad to earn a citation in ChatGPT or Google AI Overviews.
Google AI Overviews cite structured, factual content from verified local sources. Here's what triggers inclusion and what gets filtered out entirely.
Schema.org openingHoursSpecification lets AI engines read your hours directly from your site. Here's how to mark them up correctly for local search.
Signal benchmarked four website platforms for AI citation rates and found load time correlates directly with retrieval frequency. Here's the data.
Brooklyn BJJ Lessons ranked #1 in ChatGPT for 'BJJ private lessons Brooklyn' in 41 days. Here's the exact sequence that made it happen.
Signal tested identical business profiles in Crown Heights and Williamsburg. AI search cites them at different rates. Here's why neighborhood context decides rank.
Page two of Google results is functionally dead in 2026. AI-generated answers now absorb the queries that used to drive clicks to positions 1120.
FAQPage schema gets local business content pulled directly into ChatGPT, Perplexity, and Google AI Overviews. Most Brooklyn sites have zero FAQ markup.
A five-step schema audit process for Brooklyn local businesses to improve AI search visibility, rich results, and citations in ChatGPT and Google AI Overviews.
ChatGPT and Perplexity don't rank businesses by ad spend or page authority. They cite businesses that satisfy four specific retrieval signals. Here's what they are.
Local search prompts shifted from location triggers to intent and quality signals in 2026. Signal tracked 300+ queries across Brooklyn clients to map the change.
Near me' searches dropped 61% since 2023. AI search users now ask 'best for X in [neighborhood].' Here is what replaced it and how to rank.
AI search cites neighborhood landing pages that answer specific local queries with named entities, structured facts, and retrieval-grade content. Here is the exact playbook.
AI search answers at neighborhood resolution. Here is how to rebuild your location pages so ChatGPT, Perplexity, and Google cite them first.
Nostrand Optical launched with four valid Google rich results on day one. Here is what structured data, retrieval-grade content, and citation architecture produced.
Perplexity has grown from near-zero to a meaningful referral source for Brooklyn businesses that rank in AI answers. Here's what the traffic looks like and why it converts differently.
Signal tested identical local search prompts across four AI engines. The citation sources, confidence levels, and named businesses differed sharply. Here's what we found.
Seven schema types most local businesses skip in 2026, and why each one determines whether ChatGPT, Perplexity, or Google AI Overviews cites you first.
20-minute live audit. I'll run your business through ChatGPT, Perplexity, Google AI, and Claude and show you exactly what AI says — and doesn't say — about you. Free. No pitch.