When A Buyer Asks AI For Three Suppliers, Are You One Of Them?

GEO is the work of making your business something AI systems can understand, verify and cite when they generate an answer. In practice it combines structured data, consistent business information across the web, answer-first content and off-site citations, so an assistant has something unambiguous to repeat about you. The mechanism is worth understanding because it explains what you are buying: an AI answer is a risk decision, and a model faced with one business it cannot verify and three it can will name the three. You are not persuading anything. You are becoming checkable. In this market, generative engine optimization services are usually bought as a monthly programme rather than a one-off project, because the answers move as the models update.

Answer engine optimization is formatting content as direct, concise answers, definitions, comparisons and FAQs, so it can be lifted into featured snippets, voice answers and AI summaries. It overlaps heavily with GEO and with ordinary SEO, and anybody selling it as a wholly separate discipline is inflating the scope. The practical difference it makes is in where the answer sits on the page and how specific it is. A page that opens with two paragraphs of positioning and reaches the actual answer halfway down is hard to quote. A page that answers in the first sentence, with a number or a price in it, is easy to quote. Demand for AEO services in Delhi has risen fastest among B2B exporters and professional firms, where buyers research in an assistant long before they enquire.

No, and we would be cautious about anybody who says it is. On every measurement published in 2026, Google organic search still sends far more website visits than AI assistants combined. What has changed is narrower and still significant: a growing share of shortlisting now happens inside an assistant, before any search or enquiry, and you cannot see it happening. So the honest framing is that GEO addresses a specific new gap rather than replacing the channel that still brings most of your visitors. If you have a fixed budget and your pages are not ranking in ordinary search, SEO is where that money should go. If you rank well and still never get named in an assistant, this is the work that addresses it.

Manually, because no platform provides reporting. There is no Search Console for ChatGPT, Gemini, Perplexity or Copilot: no impressions, no position history, no API that answers the question. So we fix a set of ten to twenty real buyer questions, run them monthly across the assistants, and record whether you appear, what is said about you and who is recommended instead. You get the raw answers. A ChatGPT visibility report is only ever as good as the question set behind it, which is why we agree that set with you rather than inventing it. This is less impressive than a dashboard and it is the only version that is true, which is why it is worth asking any agency showing you an AI ranking graph where exactly the underlying data comes from. Most such dashboards are either doing the same manual testing we are or modelling an estimate.

No, and nobody can. The models change without notice, the answers vary between sessions for the same question, and no provider offers placement of any kind. What we can influence is how clearly and consistently your business is described across the web, which is what these systems draw on when they decide whether to name somebody. Results show up as more frequent mentions over months rather than as a guaranteed placement, and some months show no movement at all. If an agency offers you a guarantee here, the useful follow-up question is what happens contractually when it does not hold, because the answer is usually nothing.

Often better than for large ones, because most competitors in Delhi NCR have not done this work yet. A smaller business with clean structured data, consistent listings and genuinely specific content can be cited ahead of a much larger name with none of that in place, which is not true in ordinary search where domain authority weighs heavily. The caveat is the value-per-client arithmetic rather than company size. If one new client is worth a few lakh to you, the baseline pays for itself on the first one. If a client is worth twenty thousand rupees, the retainer tiers cannot work however well the visibility improves, and we will say so.

Usually not, and we would push back if somebody told you otherwise as a precondition. Most of this is additive: schema markup, content additions on existing pages, llms.txt, and off-site consistency work that does not touch your site at all. We would only recommend rebuilding if the site genuinely cannot be crawled or maintained, which is a redesign conversation with its own justification rather than something to bundle into an AI visibility project. Be wary of any proposal where the first line item for AI search work is a new website, because that is a much larger sale wearing a smaller label.

It is a plain text file that gives AI systems a clean map of your site and its most important content. Two honest qualifications. It is an emerging convention rather than a requirement, and no assistant has committed publicly to honouring it the way search engines honour robots.txt. So nobody can tell you with confidence how much it helps today. What makes it worth doing anyway is the cost: it takes an hour, it breaks nothing, and if the convention does get adopted you are already there. We have implemented it on live client sites and we include it even in the cheapest tier. Treat anybody selling llms.txt as a major deliverable with suspicion.

Technical and schema changes can affect how AI tools read your site within days. Being named in answers usually builds over two to four months alongside consistent citation work, and longer in competitive categories. The part worth setting expectations on is that progress is lumpy rather than gradual: you may see nothing for two months and then appear in several answers at once, because the underlying models and their sources update in steps. That makes month-to-month comparison noisy, which is why our reporting shows the raw answers across a fixed question set rather than a trend line that would imply more precision than exists.

For most businesses, no. Blocking removes you from AI answers without returning the clicks that were lost, so you pay the cost of the shift twice. The calculation is genuinely different for publishers whose content has licensing value, where there is a real argument for restricting access and negotiating terms, and we would not talk a news or research business out of that position. But for an agency, a manufacturer, a clinic or a professional firm, your content is marketing rather than inventory. You want it read, quoted and attributed. Blocking in that situation is choosing invisibility and calling it control.

It layers on top rather than replacing it, and a lot of the underlying work is shared, which should be reflected in what you pay. If you already have SEO running, adding AEO and GEO ought to be incremental rather than a second full programme, and we price it that way. The practical test is to ask your current provider what they already do on schema, entity consistency and answer formatting, because competent SEO work in 2026 covers a meaningful share of this. If they are doing it, you may need only the measurement and the citation work. If a proposal duplicates things your existing retainer already covers, that is worth raising rather than paying for twice.

Our prices are published above rather than quoted on request: INR 25,000 to 45,000 one-time for the AI Visibility Baseline, INR 40,000 to 75,000 a month for the AEO Retainer, and INR 90,000 to 1,80,000 a month for the GEO Programme, billable in INR, USD or AED. We publish them because this category has no settled norms and quotes vary by a factor of twenty for similar scope. What moves our numbers is how many pages, locations and buyer questions are tracked, not how many acronyms appear in the proposal. If you are comparing quotes, the question that separates them is what is actually delivered each month, because a retainer that only re-runs a few prompts is a very different product at a similar price.

Yes. We work with clients in the UAE, UK and US, with working hours that overlap comfortably with the Gulf and Europe and a workable overlap with North America. Being a GEO agency in Delhi is actually an advantage on cost here rather than a limitation, because this work is research, writing and implementation rather than anything requiring presence. One genuine caveat for overseas clients, and it applies whether you hire us or any other generative engine optimization agency: the citation and directory work is market-specific, so the associations, listings and review platforms that matter in the US are not the ones that matter in India. We research those for your market rather than applying an Indian list, and that is part of why the programme tier costs more.

Three things, and they are the reason we turn work away. Your pages should be indexed in ordinary search, your Google Business Profile should be complete and accurate, and your business should be described consistently wherever it already appears online. If those are not in place, this work has nothing to build on, because the assistants read the same pages search engines read and draw on the same scattered mentions. You can check the first one yourself in a minute by searching for your own page URL in Google. If it does not appear, start with an SEO audit and come back here afterwards. We will tell you this before quoting rather than after.

Because the alternative is asking you to take a number on trust in a field where the numbers disagree. The three studies cited above measured the same shift and reached materially different conclusions, and the most common thing we see in competitors’ material is one of those figures quoted alone, without the method or the disagreement. That is not a small omission: it is the difference between telling you the ground is moving and telling you exactly how far it has moved. We would rather publish the range, name the studies and let you check them. It is also a demonstration of the work itself, since specific, sourced, checkable claims are precisely the material an AI system can cite.