A GEO agency for US companies that want to be named and cited in AI answers

Quick answer: they use it to narrow options and to check them. A US buyer who wants an accountant, a SaaS tool, a contractor or a clinic may start by asking an AI engine, reading a Google AI Overview, or comparing options in Perplexity. The answer names a few options and gives reasons. That moment often decides who gets a visit.

The way people ask also varies by device and habit. Some type short phrases. Some write whole paragraphs about their situation. Engines handle both, and they often break one long question into several searches behind the scenes. We explain that in query fan out explained.

In the US, prompts tend to carry a constraint that engines can test against a page: a state, a city, near me, an insurance plan, a budget, a team size, a tool the buyer already uses, or a compliance need. A page that states those facts can match. A page that talks in general terms cannot.

We do not quote US adoption statistics on this page. We did not fetch a dated primary source for them in preparing it. If you need a figure, we can cite one in a call with its source and date.

• Best provider for a stated need, in a stated city or state
• Comparison between named options
• Price, fit and risk questions before contact
• Integration and compatibility questions for software and B2B services

Engines read more than your site. They also read the profiles that repeat your name, address, phone, hours and category. When those agree, an engine can resolve you as one entity. When they disagree, it may skip you, merge you with another business, or quote an old fact.

The profiles you control come first. Google Business Profile matters for any business with a location or a service area, and Google lists keeping Business Profile information current among its practices for appearing in AI features (Google Search Central, AI features documentation, checked October 2026). Bing Places for Business matters because Microsoft Copilot draws on Bing. Apple Business Connect covers Apple Maps. LinkedIn company pages are often read for B2B facts. Software companies should also check listings on software review and marketplace sites, and product companies should check retailer and marketplace pages.

Then the profiles others maintain. Depending on your category, these can include Yelp, the Better Business Bureau, industry associations, state licensing board lookups, a local chamber of commerce, a professional directory for lawyers, doctors or accountants, and review platforms in your field. We do not assume a list. In Week 1 we record which of these engines cite next to your competitors.

For multi location businesses, each real location needs its own accurate profile and its own page. Do not create pages for places you do not serve. Duplicate city pages with swapped names add little for a buyer and give an engine nothing new. Our guides on GEO for local businesses and entity consistency cover the detail.

• Google Business Profile, Bing Places and Apple Business Connect match the site
• LinkedIn page and key directories use the same legal and trading names
• State licence lookups show the same name and address you publish
• Each real location has one profile and one page

We are not lawyers and nothing here is legal advice. Here is the extent of what we state, as of October 2026. The Federal Trade Commission publishes guidance on endorsements and testimonials, and it finalised a rule in 2024 against fake consumer reviews and testimonials (reported by several law firm briefings of the final rule). The practical point for GEO is simple: reviews and testimonials on your pages must be real, and claims must be backed. Some industries add their own layers. Health information touches privacy rules for covered entities. Law firms follow state bar advertising rules. Financial firms follow sector supervisors. California and other states have privacy laws that affect forms and analytics. We do not interpret any of them. We flag them for your counsel.

Our approach is practical. We write only claims you can support, we avoid invented numbers, awards and rankings, and we send every rewritten page to you for approval before it goes live. If your sector needs legal review, your counsel gets the draft first.

Trust signals are the facts a buyer or an engine can check: a clear About page, named leadership, a physical address or service area, licence numbers where the profession uses them, certifications you hold, dated case summaries you may publish, and real reviews. Put them in text. Include a privacy notice and terms that match how you work.

This is good GEO as well as good practice. Engines tend to quote clear, specific, sourced statements. Empty superlatives are rarely quoted.

• Reviews and testimonials are real and can be shown
• Licences and certifications stated as text and matched on profiles
• Regulated wording approved by your counsel or compliance owner
• Privacy notice matches your forms and analytics

Example, hypothetical: a project management add on for construction teams has a homepage that says the product streamlines workflows. Its pricing page is a form. Its robots.txt, inherited from a staging setup, blocks an AI crawler. Its help centre is excellent but sits on a subdomain that nothing links to.

In Week 1 we would test prompts such as which software helps construction teams track change orders, how it compares with two named alternatives, and whether it integrates with a given accounting tool. We would record which pages the engines cite, probably including help centre articles, review sites and comparison posts from others. We would also find the blocked crawler.

In Week 2 we would fix crawler rules and make the help centre discoverable through sitemaps and internal links. In Week 3 we would rewrite the priority pages: a clear what it is paragraph, a features page that lists capabilities as text, an integrations page, a pricing explainer that says what drives cost without inventing numbers, and a comparison page that treats alternatives fairly and with dated sources. FAQs and schema would match the visible text.

Week 4 retests the same prompts. This example is invented to show the method. It is not a client result and it promises nothing.

India is far ahead of the US. Depending on your zone and daylight saving, India is roughly 9.5 to 13.5 hours ahead. Plainly: your morning is our evening. A 9 am Eastern call is early evening in India, and a 9 am Pacific call is late at night. We schedule kickoff, review and handover calls in your working hours, which means our team is on those calls late in the day. Pacific clients may prefer an early morning slot, which lands in our evening.

Daylight saving changes the gap twice a year, and the US and UK change on different dates. India does not change its clocks. We state meeting times in your time zone and confirm the date when clocks move.

Between calls, the time difference is useful. You approve changes and leave notes at the end of your day. We often work through them overnight, and they are ready when you return. Everything is documented by email, so decisions never rest on memory.

We have no US office. You give access through an admin login, a staging site or a Git repo, and you approve every change. Our proof is outside the US: Emtech, a Dubai IT company selling IT AMC, is now cited for IT AMC queries in Google AI Mode, ChatGPT, Microsoft Copilot, Perplexity and Gemini. It is one client in one market, not a promise. For other markets see our UAE page and UK page.

• Calls in your working hours
• Written summary after each call
• Overnight turnaround on approved items