JAKARTA — Startups are now chasing ChatGPT answers, not just top Google rankings. The shift is changing how companies think about digital visibility, moving from search results pages to the short responses read out by AI.
Where companies once fought for clicks, they now want to appear in the recommendation sentence generated by ChatGPT, Gemini, or Perplexity. One accurate answer can be worth more than a long list of links.
Why ChatGPT answers are the new target
User behavior is changing fast. Many people now open a chatbot first when they want to find the best software, compare business services, or choose a product. They ask, then they get an instant answer. Done.
That is why, according to a TechCrunch report, a wave of startups has emerged offering services to help brands understand how their products appear in AI answers. These companies analyze recommendation patterns, which sources the model uses, and when one brand is mentioned over a competitor.
The trend matters because AI does not work like a classic search engine. On Google, users still see a list of results and choose one by one. In a chatbot, the model often summarizes, filters, and gives a direct answer. There is far less room to stand out. And the ones that make it through are not always the biggest brands.
For smaller startups, that is an opening. For established brands, it is a warning. A name that dominates web search may still disappear when people ask the model directly. Short sentence. Big impact.
From SEO to AI visibility optimization
For years, Search Engine Optimization, or SEO, has been the main tool for driving traffic from Google. Marketing teams picked keywords, improved site structure, built links, then tracked rankings. The playbook was clear. So was the metric.
The problem is that generative AI has rewritten the old rules. Users often stop after getting an answer. They do not always click through to source sites. That means brand value is no longer measured only by traffic, but also by how often AI models mention a brand and in what context.
At that point, a new approach has started to take shape, often called AI visibility optimization. The term is not yet standardized, but the direction is clear. Companies want to understand how their information enters models, then make sure AI answers include their product name, service, or website when relevant.
Several startups are already building analytics tools that track how often brands are named in AI answers. Some compare a brand’s position against competitors. Others map which reference sources models rely on most when answering a specific question. It looks a lot like an SEO dashboard, but the battlefield is different.
Why digital businesses are changing too
The shift affects many industries. E-commerce companies want their products included in AI recommendations. Software firms are competing to appear when users ask about the best work tools. Online media outlets are also rethinking how their content is read and absorbed by models.
In a crowded market, one AI mention can have a big effect. A response like “for need X, brand Y is worth considering” can influence a buying decision early on. Users arrive with intent. They are not browsing for fun. They are looking for a solution.
That is why many brands now treat AI engines as an information distribution channel as important as search engines and social media. They do not only want to be remembered by users. They want to be remembered by the model.
But not everything can be bought easily. AI models pull signals from many sources, including public content, product documentation, reviews, and certain domain authority signals. In practice, companies still need to build a strong reputation, make information clearer, and present content in a clean format so systems can recognize it more easily.
In Indonesia, the impact makes sense too. Local startups selling SaaS, digital financial services, or consumer products need to think about how their names appear when potential customers ask AI. If they do not appear at all, the opportunity may pass by.
A new business category is growing
TechCrunch noted that the trend is creating a new business category. Founders see a gap: companies need to know how AI “sees” them, then need tools to improve the odds of appearing in the next answer. From there, startups are building monitoring services, analytics platforms, and content strategy consulting for AI.
The market is still smaller than classic SEO. But the direction is clear. Once users grow used to asking chatbots for almost everything, the value of appearing in AI answers will rise with it. At that point, companies that read the shift too late will lose the front seat.
What is striking is that this change did not come from one major disruption. It grew slowly, from daily user habits. People want speed. People want brevity. And AI delivers exactly that. One question. One answer. Done.
Digital competition has shifted too. Brands are no longer only fighting for space on search engines. Now they are also fighting for room inside AI answers read by millions of people every day. And that battle has only just begun.
Short summary: startups are chasing ChatGPT answers because users are starting to ask AI directly; companies need tools to track how often their brands are mentioned; and the shift could reshape digital marketing strategies across industries.
Quick FAQ: Is SEO dead? No. SEO still matters, but it now sits alongside AI visibility optimization. Can every brand appear in AI answers? Not automatically, because models choose specific sources and signals. What should businesses monitor? Brand mentions, position versus competitors, and the sources AI uses most often.
Looking ahead, companies that quickly learn the patterns behind AI answers will hold a stronger position as chatbots become the first stop for information.
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