From Invisible to Cited: A GEO Case Study on Winning the AI Search Conversation Before Competitors Did

Why We Are Publishing This Case Study

Most agencies write about GEO in theory. This is not a theory piece. This is a breakdown of an actual engagement Heramb ran, the decisions we made, the platforms we prioritized, and the measurable shift in how AI platforms talked about a real brand (name withheld for confidentiality) over the course of a few months. We are publishing it because the questions we get asked most often, what is GEO, what is AEO, how is GEO different from SEO, and whether AI and marketing can really be connected in a measurable way, all have concrete answers inside this one engagement.

What is GEO, in Plain Terms

GEO stands for generative engine optimization. It is the work of making sure that when someone asks an AI system a question, your brand is part of the answer. That is the entire idea. Not ranking tenth on a page nobody scrolls to. Being inside the actual sentence the AI generates.

This matters because the way people search has changed faster than most businesses have adjusted to. A growing share of category research, "which hospital should I choose," "is this brand worth the price," "which detergent works best for X," now happens inside ChatGPT, Gemini, Perplexity, or directly inside Google's AI Overview panel, with zero clicks to an actual website. If your brand is not part of what the AI already knows and trusts, you simply do not exist in that conversation, no matter how good your product is or how large your offline presence might be.

GEO vs SEO: The Distinction That Actually Matters

This is one of the most searched comparisons in digital marketing right now, and for good reason, because the two disciplines look similar on the surface but operate on completely different logic.

Traditional SEO optimizes a page so it ranks in a list of search results. The unit of success is a position, a number, are you first, are you on page one, did you outrank a competitor for a keyword.

GEO optimizes for something else entirely: citation. There is no position to fight for inside an AI generated answer. There is only the question of whether your brand's information was credible enough, specific enough, and present in the right place for the AI to choose it as a source when constructing its response. An AI engine reads a wide pool of available content and selects two to five sources it judges most trustworthy. GEO is the work of making sure you are reliably one of those sources.

What is AEO and how is it different from GEO? AEO, or answer engine optimization, is closely related and in 2026 has largely folded into GEO as a practical matter, since most AI platforms now generate full conversational answers rather than simply extracting a single fact. The slight distinction that still holds: AEO leans toward optimizing for a direct, extractable answer to a specific question, while GEO is the broader discipline covering overall brand visibility, trust signals, and citation frequency across the entire generative AI landscape, ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview together. In practice, doing GEO well covers AEO automatically.

What is Generative AI and Why Every Marketer Needs to Understand It Now

Before going further, it is worth answering a more basic question we get constantly: what is gen AI, in the context of marketing. Generative AI refers to AI systems that produce new content, text, images, or answers, rather than simply retrieving and ranking existing content. ChatGPT, Gemini, and Perplexity do not show you a list of webpages, they generate a new paragraph of text summarizing what they have read across many sources, in their own words, and then decide which sources to credit.

This single mechanical difference is why ai in digital marketing has become its own discipline rather than a feature bolted onto existing SEO work. A marketer optimizing for traditional search is optimizing a static asset, a webpage, to be retrieved. A marketer optimizing for generative AI is optimizing an entire information ecosystem, including platforms they do not own, to influence a dynamically generated answer they also do not own. That is a fundamentally different and more difficult problem, and it is the exact problem this case study addresses.

The Engagement: Where the Brand Started

The brand in this case study came to Heramb with a problem that is increasingly common across Indian businesses. It had real scale, real customers, and a real reputation built over years, yet when its category was searched on Google, the AI Overview answer cited third party Reddit and Quora threads that told an incomplete and unfavorable version of the brand's story. When the same question was asked directly to ChatGPT, the brand was either absent from the answer entirely or mentioned briefly without any of the context that would have made the mention favorable.

This is the exact gap that ai seo services exist to close, and it is structurally different from a typical SEO problem. The brand's own website was reasonably well optimized. That did not matter. The AI was not reading the brand's website. It was reading Reddit, Quora, and a handful of independent review and publishing platforms, exactly the places the brand had no presence at all.

How Heramb Approached It: The Methodology Behind the Results

Step One: Auditing the Existing AI and Search Footprint

Every GEO engagement at Heramb begins the same way, with a full audit of what AI platforms are currently saying and where they are getting it from. This is not optional. Without knowing precisely which Reddit threads, Quora answers, and review platforms are already feeding an AI's response, any new content created afterward is a guess rather than a targeted intervention. We documented the exact prompts, the exact AI Overview language, and the exact cited sources, creating a verifiable before state that every subsequent month of work could be measured against.

Step Two: Prioritizing Reddit and Quora as the Primary Battleground

This is the part of our methodology that most generic ai seo tools and automated platforms cannot replicate, because it requires manual, native, community-fluent content creation rather than scaled content generation. Reddit and Quora were prioritized first and most heavily, for one direct reason: the audit confirmed both were already being cited inside the brand's AI Overview results. New, original, first-person content was written for Reddit, structured as genuine experiences rather than promotional posts, and long-form structured Quora answers were written to directly and credibly address the exact questions buyers were already typing in.

Step Three: Expanding the Footprint to YouTube and High-Authority Publishing Platforms

Beyond Reddit and Quora, the strategy expanded into YouTube comments on category-relevant videos and long-form articles on high domain authority platforms like Medium and LinkedIn Articles. Both channels were chosen for a specific, evidence-based reason rather than as generic add-ons. Google's AI Overview increasingly pulls from YouTube video pages and comment sections for review and experience-based queries, and high-authority publishing platforms are weighted heavily by AI systems for explanatory "how to" and "what is" style queries because their structured, long-form format is exactly what these systems prefer to extract from when constructing an educational answer.

Step Four: Writing for Two Readers at Once

Every single piece of content produced in this engagement was written for both a human reader and the AI system that would eventually read the same text and decide whether to extract it. This meant leading with direct, plainly stated answers to common question phrasings, structuring long-form content with clear subheadings, and including specific factual detail rather than vague brand-favorable language. This is the structural discipline that separates real GEO work from content marketing with a new label attached to it.

Measuring What Actually Changed

A defining part of this engagement, and a defining part of how Heramb runs every GEO engagement, is refusing to rely on vanity metrics. We tracked four things specifically: Google Page 1 presence for the brand's priority keyword set, checked on a recurring schedule. A fixed list of prompts run manually against ChatGPT, Gemini, and Perplexity every month, with the actual generated answer documented and compared month over month. The sentiment ratio across every new brand mention identified across Reddit, Quora, and review platforms. Direct, dated tracking of whether Google's AI Overview began incorporating the brand's positioned narrative for its most important and most searched queries.

This manual verification layer is the single most important differentiator in serious ai seo services, and it is the part of the work that no automated ai seo tools dashboard can substitute for, because someone has to actually ask ChatGPT the question, read the answer, and judge honestly whether the brand's positioning landed.

What This Means If You Are Evaluating a GEO or AI Marketing Partner

This is also why GEO and SEO are not competing disciplines but complementary ones. A brand still needs a well-structured, fast, technically sound website for traditional search. It also now needs a deliberate, evidence-based presence across Reddit, Quora, YouTube, and high-authority publishing platforms to influence how generative AI engines describe it. Treating these as separate budgets and separate strategies, rather than one integrated approach, is the most common mistake we see brands make in 2026.

Key Takeaways