Helping New York businesses get cited in ChatGPT, Gemini, Perplexity, and Google’s AI Overviews — so the buyers who skip Google still find you.
Your buyers have changed how they search. A Midtown procurement director researching a vendor no longer types five Google queries and reads ten blog posts. She asks ChatGPT once and gets a short answer with two or three recommended companies. If you are not on that list, you do not get the meeting.
New York is the financial and media capital of the world. The city is home to JPMorgan Chase, Goldman Sachs, Citigroup, Morgan Stanley, BlackRock, Bloomberg, Bank of New York Mellon, Verizon, MetLife, IBM, NBCUniversal, Paramount, The New York Times, Hearst, and Pfizer. The decision-makers at those companies, and at the thousands of mid-market firms supplying them, run high-stakes vendor evaluations. They are exactly the audience adopting AI search the fastest.
The same shift is happening in the financial district and Hudson Yards, in the media and publishing ecosystem from Midtown to SoHo, in the Silicon Alley tech corridor, in the Long Island life-sciences base, and in the upstate manufacturing and university belts from Buffalo to Rochester to Albany. Wherever your buyer is in New York, they are increasingly asking an AI model for the shortlist before they ever land on your site.
Rank System AI exists to make sure your business is on that shortlist. We optimize for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — the two practices that decide which brands AI models cite, recommend, and hand to your prospects.
weekly ChatGPT users (OpenAI public disclosure, 2025). Your B2B buyers are inside this number.
of US Google searches now show AI Overviews (industry tracking, 2025). The share keeps climbing.
of US businesses have not yet optimized for AI search (industry tracking, 2025). The first movers in New York will own these citations for years.
Numbers are directional industry estimates as of 2026 and are refreshed quarterly.
New York’s economy is the densest concentration of high-value B2B decision-makers in the world. We tune our AEO and GEO process to the buying patterns of these eight sectors.
JPMorgan Chase, Goldman Sachs, Citigroup, Morgan Stanley, BlackRock, Bank of New York Mellon, Bloomberg, Cantor Fitzgerald, plus the dense hedge-fund and PE ecosystem from Midtown to Greenwich. We position banks, asset managers, RIAs, fintech firms, and insurance specialists so AI tools recommend them when prospects ask about advisors, lending, or planning.
NBCUniversal, Paramount Global, The New York Times, Hearst, Condé Nast, News Corp, Bloomberg Media, Vox Media, and the agencies and creative-tech vendors that serve them. We position media-tech and creative-services firms so AI tools cite them when buyers run real procurement queries.
New York is home to more AmLaw 100 firms than any other state — Skadden, Sullivan & Cromwell, Paul Weiss, Cravath, Davis Polk, Wachtell, Simpson Thacher, plus the boutique litigation, IP, and corporate firms that serve Wall Street. AI is changing how prospective clients and even GCs research outside counsel. We position firms to be the firm AI cites for high-stakes matters.
Tishman Speyer, Related Companies, Vornado, SL Green, Brookfield, plus Marriott, Hilton, and Hyatt’s NYC operations and the deep CRE ecosystem from Manhattan to Long Island City and Westchester. We work with developers, brokerages, hospitality operators, and proptech firms to get cited when buyers, investors, and travelers ask AI models for the shortlist.
Anchored by NewYork-Presbyterian, Mount Sinai, NYU Langone, Memorial Sloan Kettering, Northwell Health, plus Pfizer (NYC HQ), Regeneron (Tarrytown), and the Cold Spring Harbor and Long Island biotech base. We build the citation footprint that gets device makers, hospitals, and healthtech vendors recommended when procurement teams research.
Bloomberg, IBM Watson, Etsy, Squarespace, Datadog, Peloton, Stack Overflow, plus the Silicon Alley layer running from Flatiron and Chelsea up through Hudson Yards. AI models decide who gets evaluated. We help startups and growth-stage companies become the obvious recommendation for their category.
Tiffany & Co., Estée Lauder, Coach (Tapestry), Ralph Lauren, Calvin Klein (PVH), Macy’s, Loft (Ascena), plus the deep DTC and luxury ecosystem from SoHo to the Garment District. We help retail and fashion brands show up when shoppers ask AI models for product recommendations, gift ideas, or category leaders.
MetLife, AIG, Travelers, Marsh McLennan, Guardian Life, New York Life, plus the dense reinsurance and broker bench across Lower Manhattan. We position insurance and asset-management firms so AI tools recommend them when corporate buyers, plan sponsors, and individuals research coverage and advisory.
We map exactly where your brand currently shows up — and does not — across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Bing Copilot. You see your starting score, your top-three competitors’ scores, and the queries you are losing.
Most New York businesses have weak or fragmented entity data. We fix it. Wikidata, Google Knowledge Panel, schema.org, industry directories, third-party knowledge graphs — all aligned, all consistent, all pointing back to you.
Traditional SEO content does not get cited by LLMs. We rebuild your highest-value pages and create new ones in the structure AI models actually pull from — clear answer blocks, defensible claims, structured comparisons, clean entity references.
AI models trust what other trusted sources say about you. We pursue mentions, reviews, and references across the publications and directories the AI models weight most heavily for your category and geography.
You get a monthly report showing your AI visibility score, your citation count, your competitors, and the prompts you now own versus the ones still up for grabs. We iterate every month.
We work with businesses across the state. Our most common engagements come from these metros and boroughs:
We also serve businesses in Staten Island, Mount Vernon, Hempstead, Schenectady, Utica, Niagara Falls, Binghamton, Troy, Ithaca, and the surrounding metros.
ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Bing Copilot each weight content differently. We track all six and tune for the ones your buyers actually use.
The thing that moves revenue is whether your brand gets cited when a prospect asks a real buying question. That is what we measure and what we report on.
Cleaning up Wikidata entries, fixing knowledge graphs, aligning schema across a site — it is unglamorous work, and it is the foundation of AI visibility. We do it.
This is what we do. Every system, every report, every playbook is built for AI search — not bolted on to an SEO service line.
Started with zero AI citations across the major models. After ninety days of entity setup, content rework, and citation building, the company was being recommended in ChatGPT and Perplexity for its top three product queries. The institutional buyers who used to find them on page two of Google were now hearing the brand name first.
The GCs at Fortune 100 companies were increasingly asking AI tools to shortlist outside counsel for specific case types. We rebuilt the firm’s knowledge graph and got the firm cited in Gemini and Claude for its niche practice. Inbound RFPs sourced from AI-led searches went up.
The competitor was already showing up in AI answers when shoppers asked for category leaders. We did the audit, found the structured-content gaps, and rebuilt the cornerstone pages. Within a quarter the brand was being cited for the high-intent queries that drove revenue.
Examples reflect typical engagement patterns. Specific results depend on industry, starting position, and category competitiveness.
SEO gets you ranked on Google’s blue links. AEO and GEO get you cited inside ChatGPT, Gemini, Perplexity, and Google AI Overviews — where an increasing share of your buyers start. Most NY businesses already do SEO. Almost none are optimized for AI search yet, which is why the window is open.
Most clients start seeing citation movement in 60 to 90 days. Full visibility for high-intent queries usually takes 4 to 6 months, depending on category competitiveness. Finance, legal, and healthcare take longer because the AI models are more conservative in those verticals.
Yes. Our process is the same whether you are in Brooklyn, Queens, Long Island, Westchester, Buffalo, Rochester, Albany, or a smaller community. AI models do not care about geography the way Google’s local pack does — they care about authority signals, which we can build for any New York business.
We have packages built for small New York businesses, mid-market firms, and enterprises with multiple product lines. The audit is free. Our starting program for a single category is on the Pricing page.
No. We work alongside your existing SEO team, content agency, or in-house marketers. AEO and GEO are additive layers on top of solid SEO foundations.
Monthly reports showing your citation count by AI platform, your visibility score versus your top three competitors, the prompts you now win, the prompts still up for grabs, and the revenue-relevant queries we have moved you on. No vanity metrics.
Highly regulated and high-stakes B2B categories require specific entity work — SEC and FINRA references, bar admissions, AmLaw affiliations, talent and union memberships. We build that into the content and schema layer so AI models treat your firm as a credible reference, not a marketing page.
It is mostly technical content and entity work, and we do the heavy lifting. Your team reviews and approves. The lift on your side is usually one or two hours of subject-matter input per month after the initial audit.
We benchmark your brand across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, and Bing Copilot, compare you to your top three New York competitors, and hand you a written report with the queries you are losing and the ones you can win first.
No sales pitch. No pressure to buy. Even if we never work together, the report is yours to keep — most clients find at least 5 high-value queries they can act on immediately.