AI SEO in New York for the engines your buyers already ask.
When a New Yorker asks ChatGPT for the best firm in their borough, we make sure the answer is you — not the directory that outranked you a decade ago.
Growth in patient bookings for a dental practice through SEO + review systems.
of businesses invisible in AI search — AI Visibility Index
digital-PR campaigns run through PressForge
Healthcare client — real, from our case studies
books on AI + growth, Barnes & Noble, 5.0★
Your next New York client no longer scrolls ten blue links. They ask ChatGPT for an employment attorney near Midtown, ask Perplexity which fee-only advisor to trust in FiDi, or read the AI Overview above Google's results before a single listing loads. If the model doesn't name you, you don't exist for that search — and right now most New York businesses don't. We are the agency that measures who AI recommends, then engineers the citations, entities, and coverage that put you in the answer. That is generative engine optimization, and in a market where 8.5 million people qualify every query, it is how you get found before the click.
How AI engines answer a New York search
A large language model does not rank New York businesses the way Google's ten links did. When someone types "best estate attorney on the Upper East Side" into ChatGPT or asks Perplexity for a Williamsburg fractional CFO, the model assembles an answer from the sources it already trusts — and in New York those sources are specific. It pulls from Crain's New York Business and The Real Deal, from trade press your vertical reads, from the aggregators that own page one today (Yelp, Thumbtack, Avvo, StreetEasy), from structured data on your own site, and increasingly from what people say about you on Reddit and in forums the crawlers scrape. Then it names two or three businesses and stops. There is no page two in an AI answer. The question that decides whether you are one of those names is not "do you rank" — it is "is your business described, cited, and corroborated across the exact sources this model reaches for when a New York buyer asks." The MentionLayer AI Visibility Index found that 65.9% of businesses are invisible in AI search entirely. In a city this fragmented, invisibility is the default until someone builds the opposite on purpose.
- Borough- and neighborhood-qualified prompts ("med spa in Tribeca", "bookkeeper Long Island City") each resolve to a different short list — one generic NYC page can't win them all
- Finance and legal answers lean on credential language the model expects: fiduciary, fee-only, SEC-registered, board-certified
- New York verticals get cited through New York sources — Crain's, The Real Deal, AdAge, and the trade titles your buyers already read
- Consistent entity data across your GBP, site schema, and directories is what lets a model corroborate you and quote you with confidence
What we build for New York businesses
AI search optimization in New York is not a rewrite of your homepage. It is the deliberate construction of an entity the models can find, understand, and trust — across every source a New York buyer's prompt touches. We start by measuring where you actually stand: which questions your buyers ask the engines, which competitors get named instead of you, and which sources those answers are built from. Then we close the gaps one by one, prioritising the sub-markets you can win in 90 days over the citywide terms that take a year.
AI visibility baseline
We map the real prompts New York buyers use in your category and record who the engines name today — the honest starting line, measured, not guessed.
Entity + citation engineering
Consistent entity data across your site schema, Google Business Profile, and the directories New York models corroborate against — so ChatGPT can describe you without hedging.
Answer-ready content
We restructure your money pages so a model can extract a clean, quotable answer for neighborhood- and credential-qualified queries — estate attorney Upper East Side, fee-only advisor Midtown.
Digital PR into cited sources
Earned placements in the publications New York engines pull from — Crain's New York Business, The Real Deal, and your vertical's trade press — the same PressForge engine behind 300+ campaigns.
Local + map-pack signal
Google Business Profile and review-velocity work tuned for Manhattan map packs, which feed both the local pack and the AI Overview that now sits above it.
Monitoring with MentionLayer
Ongoing tracking of who the engines cite in your SERPs, so we can prove movement in the answers themselves — not just in a rankings report nobody reads.
Why Xpand Digital, not another New York agency
Most agencies discovered generative engine optimization the week you did. We built the tooling for it. MentionLayer is our own AI-visibility platform — it measures which businesses the models name and why — and it is how we produced the AI Visibility Index that found 65.9% of businesses invisible in AI search. PressForge is our digital-PR engine, 300+ campaigns of earned coverage in exactly the kind of publications New York's models cite. And our founder, Joel House, wrote the book on this shift, literally: "AI for Revenue" and "The Growth Architecture," both on Barnes & Noble. No other agency fighting for New York AI search can say it built the measurement layer, the PR engine, and the playbook. We also refuse to pretend geography is a ranking factor. Renting a desk in SoHo does not make a model cite you; the work does. Joel runs this remotely from LA, reads every audit himself, and works your New York sub-markets daily. Judge the receipts — 2,414% organic growth for an e-commerce client, $600K reactivated from a dead database in 90 days, a 5.0 rating on Google — not the zip code on the invoice.
Common questions.
What is AI SEO, and how is it different from regular SEO in New York?
Regular SEO fights for a position in Google's ten blue links. AI SEO — also called generative engine optimization — is about getting your business named inside the answer ChatGPT, Perplexity, Gemini, or Google's AI Overview gives a New York buyer. There is no page two in an AI answer; the model names two or three businesses and stops. Getting into that short list depends on entity data, citations, and coverage across the exact sources the model trusts, which in New York means titles like Crain's and The Real Deal alongside your own structured data. It overlaps with classic SEO but the target is the answer, not the ranking.
Do New York buyers actually use AI to find local businesses?
Increasingly, yes — and New York accelerates it because the market is so fragmented. Rather than scroll aggregator-dominated results for "employment attorney Midtown," buyers ask ChatGPT or Perplexity for a recommendation and get a named short list back. Google now places an AI Overview above the local pack for a growing share of queries, so even buyers who never open ChatGPT are reading an AI answer first. Our own AI Visibility Index found 65.9% of businesses are invisible in AI search, which means most of your New York competitors are not there yet either. That gap is the opportunity.
How much does AI SEO cost in New York?
It depends on your category and how far behind the engines you start, so any agency quoting a flat rate is guessing. As a real range, focused single-market AI visibility programs in New York run roughly $2,000 to $4,000 a month; competitive Manhattan verticals like legal, medical, and finance need more because the citation and PR work is heavier. We scope from your actual AI answers and SERPs, not a rate card, every engagement is month-to-month, and you see exactly where the hours go before you spend a dollar.
How long until my New York business shows up in AI answers?
Faster than classic head-term SEO, but not overnight. Entity and schema fixes can change how a model describes you within weeks. Getting named in neighborhood- and credential-qualified answers typically takes two to four months as citations and coverage land. Citywide category answers — the New York equivalent of a head term — take longer because they lean on the most authoritative sources. We stage it the same way we stage SEO: winnable sub-market answers first, so the campaign pays for itself, then the harder citywide answers. Measurable movement is guaranteed by day 90.
Which AI engines do you optimize for?
The ones your New York buyers already open — ChatGPT, Perplexity, Google's AI Overviews and AI Mode, and Gemini. A Midtown employment attorney and a FiDi advisor can rank in one engine and disappear in the next, because each pulls from a different source mix: Perplexity leans on cited links, AI Overviews blend ranking signals with a generated summary, and ChatGPT weights entity recognition and corroboration. We build the entity, citation, and coverage foundation all of them reward, then track each engine separately so you can see which answers moved by borough.
Do I need a New York office or address for this to work?
No — and be wary of any agency that implies you do. A language model does not cite your business because your agency rents space in SoHo; a vendor's address is not a ranking or citation factor. What moves AI answers is whether your entity data is consistent, whether authoritative New York sources describe you, and whether your content answers the query cleanly. We run this remotely from LA, work your New York sub-markets daily, and Joel reads every audit himself. Judge the work and the receipts, not the zip code.
How do you prove AI SEO is working?
We measure the answers, not just the rankings. Using MentionLayer — the AI-visibility platform we built — we record which firms the engines name for your New York prompts at the start, borough by borough, then watch that list change as the work lands. You get the exact queries where you moved from unnamed to cited, next to organic traffic and rankings. That is the whole point of baselining first: the movement is visible in the answers themselves, not something we ask you to take on faith.
How generative engine optimization works, end to end.
The engine-agnostic play for getting cited across AI search.
Classic organic SEO for New York — the other half of getting found.
See who AI recommends in your New York market
Start with the audit. It is free, and Joel reads it personally — an actual look at which New York competitors the engines name in your category, which sources those answers are built from, and where your 90-day wins sit. If we work together it is month-to-month, because the work should retain you, not a contract. We take one client per industry per sub-market, so we are never optimising two competitors into the same AI answer. And the guarantee is in writing: measurable movement by day 90 — in rankings, traffic, or the answers themselves — or that month is free. New York has thousands of agencies. Almost none will put a date and a refund behind AI search. We will, because the system has receipts.