In This Article
Almost every founder call we have been on this year has had the same question somewhere in it. It usually comes in the last five minutes, after the media plan and inventory conversation are already done.
"Are we showing up on ChatGPT?" Most founders we ask do not know. And that is not because they are ignoring it. Their analytics simply do not make the answer easy to find. There is no clear line in most dashboards that says, “ChatGPT sent you this customer.” So, the question keeps sitting unanswered month after month.
Why every D2C founder is asking about this at once
The FOMO is fair. A D2C brand in India is already dealing with rising customer acquisition costs, discounting pressure, and tight working capital. Then a new marketing term arrives every few months. AEO and GEO landed while many teams were still figuring out the last big change.
That is what happens when something is clearly growing, but nobody can yet tell you exactly how much it matters to your business.
Is AI search big enough to matter for a D2C brand yet?
The amount of traffic coming directly from AI is still small today. But the influence AI has on what people buy may be much bigger than the traffic numbers suggest. People are asking AI assistants questions they once typed into Google. And those questions are becoming much more specific.
Instead of searching for “best face wash,” someone might ask:
“What is the best gentle face wash for oily, acne-prone skin under ₹600 that does not dry my skin?”
That is different from a normal search. The person is not simply looking for websites. They are asking the AI to research the options and give them a shortlist.
In absolute numbers, AI traffic is still small. Content square's 2026 Digital Experience Benchmarks, based on 99 billion sessions across 6,500 websites, found that traffic coming from AI made up around 0.2% of total visits. But it grew 632% year over year.
Treat that number as a starting point, not the full picture. It counts people who clicked from an AI answer to a website. It does not count someone who saw your brand in an AI recommendation, clicked nothing, and searched for your brand two days later.
A lot of AI influence can therefore appear in your reports as direct traffic or branded search instead of AI traffic. The number you can see is small. The actual influence may be much larger, although we still cannot measure all of it accurately.
What we can measure is that people who do come from AI can be valuable customers. Adobe Analytics reported in July 2026 that AI-referred visits to US retail websites converted 60% better than non-AI traffic and generated 53% more revenue per visit. It was the eleventh month in a row that AI traffic performed better.
The difficult part is timing. The things that help a brand get mentioned by AI assistants often take months to build. That means the work needs to start before the traffic becomes large.
It is an uncomfortable way to spend money, but we have seen this before. SEO worked the same way. You build the foundation first, and the results come later.
Why did ChatGPT stop citing Reddit in August 2026?
Nobody has established the exact reason yet. And that is actually the useful part of the story.
Reddit had been one of the sources ChatGPT mentioned frequently for almost two years. Promptwatch tracked Reddit's share of ChatGPT Search citations at an average of 3.83% between July 18 and August 7, 2026. That dropped to 0.52% between August 14 and 17 — a relative decline of around 86%.
Google's AI Overviews showed a much smaller decline of around 11% during the same period.
ChatGPT also started using more searches focused on individual websites from August 8. But Reddit's biggest drop happened six days later, so that change does not fully explain what happened. Promptwatch has described the numbers as provisional, and OpenAI has not publicly explained the change.
Think about what that means for brands. A source that had been important to AI answers for years lost most of its visibility within days. And the industry still does not have a confirmed explanation.
Many good teams, including ours, spent part of last year paying close attention to Reddit because it was an important source of AI mentions.
The lesson is not that Reddit does not matter.
The lesson is that you should not build your entire AI strategy around one platform or one fixed list of websites.
Anyone selling you a permanent list of places where your brand needs to get mentioned is giving you a list that can become outdated very quickly.
Does that mean there is no playbook for AEO?
No. There are two parts to this, and only one of them changes constantly. The first part is your basic online presence. Can AI tools find your website? Can they understand your products? Is your pricing, sizing, product information and other important information easy to read? Can a customer quickly find the answer to a common question on your website? Do other trustworthy websites describe your brand accurately?
These are not new ideas. They are the same basics that have always helped websites perform well online.
This is also where the data points us. SE Ranking analyzed 129,000 domains across 216,524 pages and found that the number of other websites linking to or mentioning a page was the strongest factor associated with whether ChatGPT cited that page, as reported by Search Engine Journal.
In simple terms: what other credible websites say about your brand matters. The second part is where things change faster: which websites, platforms, and types of content AI assistants are relying on right now.
That can change quickly. The way we explain it on calls is simple:
The first part is like making sure your product page works properly. Your images are clear, your prices are correct, your sizes are easy to understand, and the important information is available.
The second part is like figuring out which marketing channel is working best right now. Nobody would say, “There is no point fixing the product page because Instagram trends change every few weeks.”
The same thinking applies here. The Reddit episode shows why both parts matter. Whatever caused the change, brands with strong websites still had something AI assistants could understand directly. Brands that depended heavily on getting mentioned elsewhere had more to lose when that source changed.
We are all students of the platforms again
We have done this before. Nobody had a Facebook playbook in 2016. We learned it by paying close attention and keeping notes, and the people who kept the best notes got there first. Indian D2C has always been an experiment-first business.
We did not expect to enjoy being a beginner at something again at this stage, and we do. That is the honest reason we keep following this space instead of waiting for everything to become predictable.
What should a D2C brand measure first?
Three things, once a month, on one page.
1. Traffic from AI platforms. Analytics tools do not report this as its own channel by default, and a large share of these visits arrive with no referrer information, so they get filed as direct traffic. Setting up a custom channel for ChatGPT, Gemini, Perplexity and Claude takes about an hour. Treat whatever number appears as a floor rather than the truth, because it is understated by design.
2. Citations and mentions. Write down 20 to 30 questions a real customer would ask before buying in your category. Run them monthly across the main assistants, in every market you sell in. Record whether your brand was named, which competitors were named, and which sources the answer cited. Keep the wording identical each month, or the trend means nothing.
3. How the two move together. If mentions climb and traffic does not follow, that is a real signal. Either you are being named inside answers complete enough that nobody needs to click, or you are winning the wrong kind of question. Read it as a direction over months rather than a precise ratio, because both sides are measured imperfectly.
How do you know if you are losing?
Start with your share of shortlists. Take your 30 customer questions. Count how many times your brand appears. Then count how many times each of your three closest competitors appears. If your brand appears in 4 out of 30 questions, while the brand you keep losing customers to appears in 19 out of 30, you have a clear signal.
You do not need a complicated dashboard to understand that. That is where the potential loss becomes visible. Nobody can tell you what the right number should be for your category. Your category, price point, and competition are different. What matters first is knowing where you stand today. Then you can measure whether your work is improving that number.
What we should do this month
Get the basics right first. Make sure your website has clear product information, useful answers, accurate details, and content that both people and AI tools can understand easily.
Then start tracking the same three things every month. That way, when an AI platform changes how it works, you can spot the impact in days or weeks instead of discovering it at the end of a quarter.
The part that will remain uncertain is the platforms themselves. AI assistants can change how they find and use information without giving brands a detailed explanation every time. That is unlikely to stop anytime soon. The answer is not to wait for everything to become predictable. Build the parts you can control, and keep measuring the parts you cannot. Your loss today may be small. That is exactly why this is a cheap month to start measuring it.
Frequently asked questions
How do I check whether ChatGPT recommends my brand?
Write down 20–30 questions your customers might ask before buying. Ask those questions in ChatGPT, Gemini, and Perplexity. Record whether your brand is mentioned, which competitors appear, and which sources are used. Repeat the same questions every month so you can compare the results.
Why does AI traffic not show up in my analytics?
Most analytics tools do not automatically group AI assistants into their own traffic channel. Some AI visits also arrive without clear information about where the visitor came from, so they can be counted as direct traffic. Creating a separate AI traffic group can help you identify some of these visits, but it will not capture everything.
Does ranking on Google mean AI assistants will cite me?
No. Ranking on Google and being mentioned by an AI assistant are not the same thing. Ahrefs analysed 15,000 long-tail queries across ChatGPT, Gemini, Copilot and Perplexity in May 2026 and found that only around 12% of cited pages also ranked in Google's top 10 for the same question. So, a strong Google ranking is useful, but it does not guarantee an AI mention.
Is AEO the same as SEO?
Not exactly. SEO mainly helps your website appear higher in search results. AEO, or Answer Engine Optimization, focuses on making your content easier for AI and answer-based search tools to understand and use when answering questions.
They share many basics, such as having a clear website, useful information, and well-organized content. But the final goal is different.
SEO asks: Can I appear in the search results?
AEO asks: Can an AI assistant understand and recommend my brand when answering a question?
Should a D2C brand invest in AEO now?
Do not think of it as moving your entire marketing budget into AEO. AI traffic is still below 1% of visits for most brands. Right now, the smarter decision is to start measuring it and build the basics. Creating a baseline costs very little. And many of the things that help AI assistants understand and mention your brand take months to build.
What should an AEO programme be measured on?
Start with share of shortlists. Take a fixed set of customer questions and track how often AI assistants mention your brand compared with your main competitors. Traffic is useful, but it should not be your main measurement yet because AI traffic can be undercounted and the effect of this work can take months to appear.
Sources
