Generative engine optimization services that get you named in AI answers

Generative engines are systems that write an answer instead of listing links. ChatGPT, Gemini, Claude, Perplexity, Microsoft Copilot, and Google's AI Overviews and AI Mode all work this way. Some of them search the live web while they answer. Some lean on what they learned in training. Many do both, and the mix changes by engine and by question.

GEO is the practice of shaping your site and your public footprint so those systems can retrieve you, read you correctly, and feel safe naming you. It is close to SEO in spirit and different in the details. A search engine ranks pages. An answer engine picks facts and sources, then writes around them. Your goal moves from ranking a page to being the source, or at least the named option, inside the sentence.

Names vary. You will hear GEO, AEO, LLMO and AI SEO used for overlapping work. We explain how they relate on the answer engine optimization page. For buying purposes the name matters less than what gets done on your site.

• Engines retrieve, summarise and cite. They do not rank ten blue links.
• Behaviour differs by engine and changes often, so we test instead of assuming.
• The outcome we work toward is being named and cited, not a position number.

Visibility tools are useful. They tell you which prompts mention you, which competitors appear, and which sources get cited. We use measurement ourselves, and we explain the categories in types of AI visibility tools.

The gap is what happens after the dashboard. A report that says your product pages lack structured data, your robots.txt blocks a crawler, and your service pages bury the answer is accurate. It is also homework. Most small and mid sized businesses do not have a developer, a content editor and a schema specialist waiting to act on it.

That is the reason the GEO Pilot exists. We take the findings and make the changes ourselves, with your approval, then measure again. You get fewer charts and more changed pages.

AI answers are not stable. The same prompt can return different brands on different days, in different locations, or when asked twice in a row. So a single screenshot proves very little. We use a fixed prompt set, record the engine, the date and the result, and compare the same set before and after. That shows direction, not certainty.

We track three things. Whether you are named. Whether your site is cited as a source. And whether what the engine says about you is correct. The last one matters more than people expect, because wrong claims in an AI answer can cost you a sale you never knew about. See how to measure GEO performance for the method in more detail.

We also tell you what we cannot measure. Engines do not publish a full report of every answer they give. Traffic from AI engines is often small or hidden inside direct and referral groups. Third party tracking tools sample prompts and have their own gaps.

• A fixed prompt set, repeated before and after
• Engine, date and wording recorded for each test
• Mention, citation and accuracy kept as separate measures
• Sampling limits stated in the report, not hidden

Buyers rarely type a brand name first. They describe a problem and ask for options. The wording falls into three groups, and each group needs different content on your site. Informational prompts ask what something is or how it works. Commercial prompts ask which option fits, or how two options compare. Transactional prompts ask who to hire, where to buy, or what it costs.

Informational prompts are where an engine learns your vocabulary. Commercial prompts are where it builds a shortlist, and this is the group that decides whether you are named. Transactional prompts are where a name turns into an enquiry. A site that only has blog posts answers the first group and loses the other two. A site that only has a services page and a contact form does the reverse.

Before any rewrite, we write down the real prompts for your market. Not what your team thinks buyers ask, but how a buyer in Dubai, Chicago or Manchester would phrase it to an assistant. Our guide to researching buyer prompts for GEO shows the method, and it is the same one we use in week 1 of the Pilot.

• Informational: what is it, how does it work, is it worth it
• Commercial: best option for my situation, A versus B, alternatives to X
• Transactional: who can do this near me, how much does it cost, how do I start
• Each group needs a page on your site that answers it directly

Example, hypothetical: a Dubai dental clinic with a WordPress site, ranking reasonably in Google for its treatment names. The owner asks ChatGPT and Perplexity for the best clinic for a specific treatment and the clinic is never named. Two competitors appear every time.

In week 1 we test twenty prompts across five engines and find that the clinic is absent from all of them. The crawler check shows the site's firewall rules block one AI crawler. The audit shows the treatment pages open with a long brand story, and the price and procedure details sit under tabs that load with scripts. Two directory listings give a different address from the website.

In week 2 we fix the crawler rule and the sitemap, add organization and local business markup that matches the visible page, and correct the structured facts. In week 3 we rewrite the ten most important treatment pages so each opens with a direct answer, then covers who it suits, how it works, what to expect and common questions. In week 4 we run the same twenty prompts. We report what changed. If the clinic is now named for some prompts and not others, the report says which and what to do next.

We make no claim that this exact result will happen. The example shows the order of work and where the effort goes. The blockers in a real audit are different every time, which is why the baseline comes first.

You do not need us to find the first problems. This list takes an hour and tells you whether you have a technical blocker. A fuller version is in the GEO checklist for your website.

Open your robots.txt file and read it. Look for blanket disallow rules and rules naming AI crawlers. Then run the free AI Crawler Access Checker to see what is reachable. Next, view the source of your top service page and confirm the main text is in the HTML, not injected later by scripts. Check that your business name, address, phone number and service descriptions match across your site, your Google Business Profile and any directory you control.

Finally, ask each major engine five real buyer questions and write down who is named. Do it twice on different days. If you are never named and competitors are, you have a baseline. If you are named but described wrongly, you have a different and more urgent problem.

• robots.txt has no blanket block that catches AI crawlers you want
• Main content is visible in the raw HTML
• Name, address, phone and service descriptions match everywhere you control
• Five buyer prompts tested twice, results written down with dates
• Wrong facts in any answer noted for correction

The Pilot fixes the base and tests the result. GEO does not finish there. Engines update, competitors publish, and your own site changes. The 90 day roadmap we hand over ranks next steps by effort and likely effect, so you can act on it yourself, give it to your team, or ask us to quote ongoing work.

Typical roadmap items are extending answer ready rewrites to more pages, building a proper source and mention plan (see GEO authority building), refreshing key pages on a schedule, and repeating the prompt test each quarter. We do not invent monthly prices on this page. Ongoing work is quoted after the Pilot, and the pricing page explains the ranges.

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. The story is in the Emtech case study.

Sudarshan Stoneix, a marble and granite company, saw in six months 1.48M Google impressions, 17.1K clicks, an average position of 4.9, and 909 AI mentions tracked by a third party tool. Details are in the Sudarshan Stoneix case study.

These are two clients, one market each. They show what is possible, not what you should expect. Your result depends on your market, your competitors and your starting point.

We serve businesses in the UAE, the USA and the United Kingdom. We are based in Rajasthan, India, and work remotely with clients in those markets. Good fits include service companies, B2B firms, clinics, real estate, and online stores that depend on buyers asking AI engines for recommendations.

If you want to see the full price and scope first, read the GEO Pilot page. If you are comparing options or want a cost range for ongoing work after the Pilot, the pricing page explains how that is quoted.