Helping Massachusetts 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 Kendall Square biotech 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.
Massachusetts is the biotech capital of the world and one of the densest concentrations of high-value B2B buyers in the country. The state is home to Moderna (Cambridge), Biogen (Cambridge), Vertex Pharmaceuticals (Boston), Sanofi (Cambridge), Pfizer’s Cambridge ops, State Street (Boston), Fidelity (Boston), Liberty Mutual (Boston), Raytheon Technologies, MIT, Harvard, Boston University, Akamai (Cambridge), HubSpot (Cambridge), Wayfair (Boston), TJX (Framingham), GE Vernova, Dunkin’, and Klaviyo. 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 Kendall Square biotech corridor, in the Longwood Medical Area, in the financial corridor along Federal Street and Post Office Square, in the SaaS ecosystem along the Mass Pike from Boston out through Framingham and Worcester, and in the defense and academic research ecosystem around MIT, Harvard, and Tufts. Wherever your buyer is in Massachusetts, 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 Massachusetts will own these citations for years.
Numbers are directional industry estimates as of 2026 and are refreshed quarterly.
Massachusetts’s economy is anchored by biotech, healthcare, and a deep SaaS ecosystem. We tune our AEO and GEO process to the buying patterns of these eight sectors.
Moderna (Cambridge), Biogen (Cambridge), Vertex Pharmaceuticals (Boston), Sanofi (Cambridge), Pfizer Cambridge, Takeda (Cambridge), Alnylam (Cambridge), Bluebird Bio, plus the dense biotech base at Kendall Square. We build the citation footprint that gets device makers, CDMOs, biotech and healthtech vendors recommended.
Anchored by Mass General Brigham (the largest healthcare system in MA), Beth Israel Deaconess, Boston Children’s, Boston Medical Center, Tufts Medical Center, Dana-Farber Cancer Institute, plus the dense health-tech base along the Longwood Medical Area. We build the citation footprint that gets hospitals, device makers, and healthtech vendors recommended.
State Street (Boston), Fidelity Investments (Boston), Putnam, Eaton Vance, John Hancock, plus a deep RIA and wealth-management bench across the Financial District and Back Bay. We position banks, asset managers, RIAs, and fintech firms so AI tools recommend them when corporate buyers, plan sponsors, and individuals research.
HubSpot (Cambridge), Akamai (Cambridge), Wayfair (Boston), Toast (Boston), Klaviyo (Boston), DataRobot, Drift, Lookout, plus the dense startup ecosystem along the Mass Pike from Boston to Worcester. AI models decide who gets evaluated. We help SaaS and cloud firms become the obvious recommendation for their category.
Harvard, MIT, Boston University, Tufts, UMass, Northeastern, Boston College, plus the dense AI and robotics ecosystem around MIT CSAIL, Harvard SEAS, and Boston Dynamics. We position research-tech vendors, edtech firms, and AI-services companies so AI models cite them when academic and corporate buyers research.
Liberty Mutual (Boston), MassMutual (Springfield), Plymouth Rock, Arbella Insurance, plus a deep insurance-tech and broker ecosystem. We position insurance and asset-management firms so AI tools recommend them when corporate buyers, plan sponsors, and individuals research coverage and advisory.
Raytheon Technologies (Waltham), L3Harris, BAE Systems, MITRE Corporation, MIT Lincoln Laboratory, plus a deep tier of defense suppliers across the Route 128 corridor. We build the citation footprint and structured content that gets cleared suppliers and primes recommended.
TJX Companies (Framingham), Wayfair, Dunkin’ Brands, Reebok, Boston Scientific (Marlborough), plus a deep DTC and Shopify ecosystem behind them. We help retail and consumer brands show up when shoppers ask AI models for product recommendations.
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 Massachusetts 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 metro areas:
We also serve businesses in Framingham, Waltham, Marlborough, Burlington, Andover, Salem, Lawrence, Plymouth, 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 pharma R&D leads who used to find them on page two of Google were now hearing the brand name first.
Selling into enterprise buyers that increasingly start with AI research. We rebuilt the knowledge graph and got the company cited in Gemini and Claude for its specific product profile. Inbound demo requests sourced from AI-led searches went up.
The competitor was already showing up in AI answers. We did the audit, found the structured-content gaps, and rebuilt the cornerstone pages. Within a quarter the firm was being cited for the high-intent queries the partners cared about.
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 MA 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. Biotech, healthcare, and finance take longer because the AI models are more conservative in those verticals.
Yes. Our process is the same whether you are in Worcester, Springfield, Lowell, Newton, Framingham, 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 Massachusetts business.
We have packages built for small Massachusetts businesses, mid-market firms, and enterprises with multiple product lines. The audit is free.
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 categories require specific entity work — FDA references, clinical trial data, FINRA compliance, and academic affiliations. We build that into the content and schema layer so AI models treat your firm as a credible reference.
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 Massachusetts 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.