Dharmsy provides GEO (Generative Engine Optimization) for United States businesses. Get cited by ChatGPT, Google AI Overviews, and Perplexity.
See exactly where competitors win — and the gaps you can take.
United States is The world's largest economy with unmatched depth in technology, finance, healthcare, and retail — home to the world's leading AI companies and the most digitally advanced enterprises. For businesses operating in this market — serving enterprise technology buyers, SME founders, marketing agencies, and professional service firms across all sectors — the digital presence question is no longer optional. It is existential.
AI assistants are rapidly becoming the first stop for business research. Prospects ask ChatGPT which agency to hire, ask Perplexity which product to buy, and trust the AI's answer as a curated recommendation. Businesses not appearing in AI answers are invisible to this growing segment of high-intent buyers — and the window to build first-mover AI visibility is open right now.
In United States, the competitive pressure is specific: the global leader — US businesses pioneered AI tool adoption and it is now standard across virtually every industry vertical. This means your prospects are researching vendors, comparing options, and forming strong preferences before they ever contact a business directly. The companies that invest in professional GEO — Generative Engine Optimization capture this research-phase intent. Those that do not are invisible at the moment that matters most.
Generative Engine Optimization (GEO) is the discipline of engineering your brand's digital presence so that AI models — ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot — cite your business when prospects ask questions related to your category. While SEO gets you into search results, GEO gets you into the answer itself.
For United States businesses, this is not a luxury — it is the baseline expectation of every buyer in a major metropolitan economy. The businesses in United States's Technology and Finance & Healthcare sectors who have already invested in professional GEO — Generative Engine Optimization are compounding their advantage every month. Those who have not are funding their competitors' growth.
United States's economy is characterised by finance, healthcare, and retail — home to the world's leading ai companies and the most digitally advanced enterprises. The key industries — Technology, Finance & Healthcare, Retail & Media — represent significant and growing demand for GEO — Generative Engine Optimization services delivered by partners who understand this specific market.
What makes United States a particularly valuable market for quality GEO — Generative Engine Optimization:
Before beginning any engagement, we conduct a thorough audit. In United States, we consistently find the same structural problems across the Technology and Finance & Healthcare sectors:
Most businesses in United States built their website or digital infrastructure years ago and have not significantly updated it since. The result: slow load times, no mobile optimization, zero structured data markup, and content that fails to reflect the actual quality of the business. First impressions are now formed digitally — and a poor digital experience loses clients before a conversation even begins.
Most businesses cannot tell you how many enquiries came from their website last month, which digital channels are driving the highest-quality leads, or what their cost per acquisition is across channels. Without this data, every marketing decision is a guess. We fix this in the first 30 days of every engagement.
In United States's major metropolitan market, there are typically two or three businesses in every category that have invested significantly in their digital positioning and are capturing a disproportionate share of inbound enquiries as a result. If your business is not in that group, you are funding their growth through your inactivity.
Many United States businesses have worked with agencies that applied generic, template-based solutions to their specific problems. The result is a digital presence that looks like everyone else's — and performs like it too. We build everything from first principles, specific to your business, your market, and your customers.
We follow a structured engagement model built on years of delivering GEO — Generative Engine Optimization for businesses in competitive markets like United States:
We test your brand across ChatGPT, Perplexity, Google AI Overviews, and Copilot for 30+ queries in your category to establish your AI visibility baseline and identify competitor citation sources.
We implement LocalBusiness, Service, FAQPage, and BreadcrumbList schema. We reconcile your business information across all directories to eliminate entity ambiguity that confuses AI models.
We produce long-form, question-structured content that AI models prefer to cite: comprehensive, verifiable, authoritative content that answers every question a prospect might ask.
We build citations from high-authority sources relevant to your location and industry — the geographic and topical signals AI models use to assess credibility.
We track your brand mentions across all major AI platforms weekly and close content gaps before competitors can exploit them.
GEO — Generative Engine Optimization from Dharmsy delivers the highest ROI for United States businesses where the stakes of digital presence are highest:
When GEO — Generative Engine Optimization is done properly, the outcomes are measurable and compound over time. Dharmsy clients in markets like United States typically see:
These are not vanity metrics — they are business outcomes with a direct line to revenue. We report against each of these in monthly reviews, and we are accountable to them throughout the engagement.
GEO is not a rebranding of SEO. It requires different content architecture, different authority signals, and a different measurement framework — and it is our primary practice, not an add-on.
Our team has worked with businesses across India's major markets and internationally — from Bangalore's startup ecosystem to Dubai's enterprise corridor to London's professional services sector. We bring the strategic depth of an international practice to United States's specific market context.
We do not work with every business that contacts us. We select clients where we are confident we can deliver measurable outcomes, and we decline engagements where we cannot. This approach means our clients get the attention and quality their investment deserves — not the diluted attention of an agency that over-sells and under-delivers.
If your business in United States is ready to invest in GEO — Generative Engine Optimization that compounds into a durable competitive advantage, we would like to hear from you. The businesses that move first in United States's technology and finance & healthcare sectors will build positions that are extremely difficult for late movers to displace.
We reprice it openly and you decide. The alternative — absorbing changes quietly — is how projects arrive late with everyone frustrated. Most overruns we see elsewhere are unpriced additions rather than bad estimates, so we handle them as an explicit decision rather than a silent one.
Cost depends on scope — how much needs building, how complex it is, and whether you need ongoing support afterwards. We give United States businesses an itemised estimate after one conversation about what the work has to achieve, so you can see what each line covers rather than getting a single number. There are no retainers you cannot exit and no charges that appear later.
Senior specialists only, with no junior handoff after the pitch. A fixed, itemised scope agreed before work starts. Full ownership of everything we build — code, accounts and content stay yours, and leaving should be a handover rather than a negotiation. We also tell United States clients when a piece of work is not worth doing for a business their size.
Often yes, but not always, and we will say which applies to you. Digital maturity across United States is growing — in markets where competitors have not claimed the fundamentals, a smaller business can take positions that would be expensive to win later. Where the numbers do not support it, a smaller piece of work usually does more than a full engagement.
We agree what success looks like in numbers before starting — enquiries, conversion rate, cost per acquisition or time saved, depending on the work. Reporting covers those figures and includes what is not working alongside what is, because finding out early is what lets you change direction while changing direction is still cheap.
Rarely. Most work runs remotely, which keeps costs lower and pace higher, and you deal directly with the people doing the work rather than an account manager relaying messages. Where a project genuinely benefits from being on site in United States — workshops, stakeholder sessions, hardware — we arrange it.
Yes. Early-stage work needs a different approach — smaller scope, faster feedback, and building only what is needed to learn whether the idea holds. We will push back on features that can wait, because spending a full budget before validating anything is the most common way early projects fail.
It depends on scope, and we give a dated timeline before starting rather than an estimate that drifts. Smaller engagements show early movement within a few weeks; larger builds and anything involving search visibility run over months. We would rather set that expectation accurately at the start than manage disappointment later.
Proof in Numbers
Proof points from engagements where structured execution compounded into measurable, business-level outcomes.
AI citation growth
Increase in brand citations appearing inside AI-generated answers after full entity and schema optimisation was deployed across all key service pages.
AI-answer impressions monthly
Monthly AI-search impressions recorded after answer-first content restructuring and llms.txt configuration enabled full AI-crawler access.
AI answer position
Consistent placement in the top three cited sources inside generative engine responses for primary category queries in a high-competition local market.
Return on GEO investment
Revenue attributed to AI-search-driven enquiries relative to total GEO engagement cost, measured over a six-month post-implementation tracking window.
How We Engage
Whether you need to validate fast or build for market dominance — our structured engagement tiers let you start at the right scale and grow as results compound.
Startups & Early-Stage
Scope of Work
Timeline
Expected Outcome
A clean, fully-indexed site with first GEO & AI-search visibility movement and a clear measurement baseline.
Scaling Mid-Market
Scope of Work
Timeline
Expected Outcome
Compounding non-branded traffic and a measurable lift in qualified pipeline from United States.
Enterprise & Market Dominance
Scope of Work
Timeline
Expected Outcome
Durable share-of-voice leadership and displacement of incumbent competitors in United States and beyond.
Scope and timelines illustrate a typical engagement — your exact plan is mapped in your United States strategy call.
Market Intelligence
United States's Commerce & Trade sector is adopting AI search first
United States is US businesses get senior Indian digital marketers with EST timezone overlap at 60–70% lower cost than US agencies — without sacrificing strategy depth or execution quality.. Businesses across United States's commerce and services sectors here are emerging to growing — improving digital infrastructure and a young, mobile-first workforce are accelerating AI tool adoption. As AI tools become the primary research channel, businesses visible in ChatGPT and Google AI Overview answers capture an audience before it ever reaches the traditional search results.
Tourism & local discovery queries
Visitors and out-of-city users increasingly ask AI engines "best [service] in United States" rather than searching Google. Structured entity signals position your brand as the default AI-cited answer.
Healthcare & education destination queries
United States's growing medical and education sectors attract out-of-city users who research via AI engines. GEO-optimised content that answers clinical and institutional questions earns citations before competitors do.
Local retail & service brand-building
Retail and service businesses in United States that embed structured brand-mention signals across authoritative sources become the names AI engines recommend when visitors ask for local options.
Thin, unstructured web presence
Many United States businesses rely on basic listings and unstructured pages that AI crawlers cannot parse into citable entities, making them invisible in generative responses regardless of their real-world reputation.
No AI-crawler accessibility
Without llms.txt configurations and properly rendered structured data, even well-ranked United States sites are blocked or deprioritised by the AI systems that produce synthesised answers.
Absence of cite-worthy statistics
Generative engines prefer content containing verifiable data points. Most local business content lacks embedded statistics or sourced claims, reducing its likelihood of being selected as a cited source.
Low entity disambiguation
Multiple United States businesses share similar names or categories. Without entity optimisation and schema markup, AI engines conflate or omit them rather than confidently citing a specific brand.
Why Act Now
United States is US businesses get senior Indian digital marketers with EST timezone overlap at 60–70% lower cost than US agencies — without sacrificing strategy depth or execution quality.. The emerging to growing — improving digital infrastructure and a young, mobile-first workforce are accelerating AI tool adoption. As AI search tools like ChatGPT, Google AI Overviews, and Perplexity become the primary research channel for businesses across United States's commerce and services sectors to evaluate vendors, businesses not cited in those AI-generated answers are invisible before the first call. GEO adoption in United States is still early-stage — the window for first-mover advantage is open right now.
Early mover advantage
The businesses that establish AI citations now will be the default recommendations for years. Once AI systems associate your brand with a category in United States, competitors face an uphill battle.
Zero AI presence = invisible to a growing segment
A user who asks Perplexity "best web agency in United States" and gets no result will often not reframe the query — they'll trust the answer they got, even if you're better.
GEO compounds faster than SEO
Traditional SEO takes 6–12 months to move rankings. GEO citations, once established, appear in real-time AI responses across multiple platforms simultaneously.
What We Deliver
Google AI Overview Optimisation
Structuring content to appear in AI-generated answer boxes above organic results.
ChatGPT & Perplexity Citation Building
Building the entity associations and web signals that LLMs use to cite and recommend businesses.
llms.txt & Crawler Access
Configuring your site so AI crawlers can index and parse your content correctly.
Structured Data & Schema
Schema markup that helps AI systems understand exactly what your business does and where.
Entity Authority Building
Establishing your brand as a recognised, citable entity across authoritative sources on the web.
Monthly AI Search Reports
Tracking citation appearances, query coverage, and AI visibility trends specific to your market.
Ready to get started in United States?
Tell us about your project — we'll come back with a clear plan, not a sales pitch.
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