ChatGPT is ready to launch its own search engine

OpenAI is preparing to launch a ChatGPT-powered search engine, announced the day before Google I/O 2024. Here is what the signals mean, what Reuters and Bloomberg reported, and what it implies for SEO and digital marketing.

ChatGPT is about to cause significant disruption in search, and Google has every reason to pay attention. On Monday, May 13, 2024, just one day before Google’s annual I/O conference, OpenAI was reportedly set to announce its plans to become a fully-fledged search engine. According to Reuters and Bloomberg, this was not a minor feature update: it was a strategic repositioning of ChatGPT as a direct competitor to Google Search.

The rise of AI in users’ search intent

Users are already shifting toward AI-driven search, and the data makes this impossible to ignore. As we covered in our analysis of whether SEO is dead in 2024, the integration of artificial intelligence into search is reshaping how businesses approach online visibility. Research from Ignite Visibility found that 62% of users prefer AI-driven chatbots for searches over traditional search engines. A separate study cited by PCMag found that 42% of respondents already expect to use chatbots rather than search engines, with 34% still undecided. These numbers point to a structural shift in how people seek information, not a passing trend.

This shift is not merely a change in user preference. It represents a potential redefinition of search intent mapping and SEO itself. Traditional search engines may find their traffic eroding as AI chatbots like OpenAI’s ChatGPT grow more capable and user-friendly. According to a Gartner prediction, by 2026 we could see a 25% decline in traditional search engine traffic, with users increasingly turning to conversational AI assistants for their queries.

Some clues suggest ChatGPT is shifting to something bigger

Several observable signals preceded the official announcement. If you were a regular ChatGPT user at the time, you were familiar with the URL https://chat.openai.com/. That changed quietly but significantly.

Take a look at the screenshot below:

The URL had changed. ChatGPT was no longer operating as a subdomain of OpenAI; it had its own standalone domain. On its own, this proves nothing. But it was one of several signals that had accumulated over a short period, all pointing toward a larger strategic move.

Heavy users of ChatGPT had also noticed the platform becoming noticeably slower, less precise, and more prone to stopping mid-response. This behaviour typically indicates constrained system resources. The more credible explanation from well-informed sources, however, was not budget cuts but infrastructure migration: OpenAI appeared to be moving workloads to larger, more capable servers in preparation for a major product launch.

ChatGPT as a search engine: why this was always coming

The ChatGPT search pivot was predictable given the platform’s growth trajectory and the broader competitive landscape. With the scale of adoption ChatGPT had achieved, not converting that traffic into a search product would have been a missed opportunity of historic proportions. Microsoft’s Bing, despite its integration with GPT-4, had failed to meaningfully close the gap with Google. A more direct move was necessary.

The implications for digital marketing are significant. Businesses must adapt not only their technical SEO but also their pay-per-click and content strategies to align with how AI platforms index and retrieve information. The parallel rise of TikTok, Instagram, and YouTube as search environments adds further pressure, demanding a genuinely multifaceted approach to visibility.

OpenAI’s search product extends ChatGPT’s functionality to pull information directly from the web and provide citations, a feature critical for educational and research queries. The ability to simulate human-like dialogue while surfacing sourced, up-to-date content positions it as a credible alternative to traditional search for a wide range of query types.

That said, accuracy and reliability remain genuine concerns. AI chatbots handle generic queries with reasonable accuracy, but effectiveness drops sharply for complex, specialist topics where precise, detailed knowledge matters. This is not a minor limitation; it is a structural weakness that will take time and substantial investment to address.

OpenAI is not alone in pursuing this space. Perplexity AI, a startup valued at $1 billion and founded by a former OpenAI researcher, had already built a user-friendly AI-native search interface delivering results in both text and image formats. Its rapid adoption added competitive pressure on traditional search engines and validated the market appetite for AI-first search experiences. Understanding how these systems use query fan-out and retrieval-augmented generation is increasingly important for anyone optimising content for AI search.

What is Google doing in response?

Google is not sitting still. The company has been continuously enhancing its search algorithms and deepening its AI integration to protect its market position. Google’s search lead Prabhakar Raghavan publicly emphasised the company’s commitment to agility and trustworthiness as the competitive landscape shifted around it.

There is also a legal and ethical dimension that is easy to overlook. As AI tools from OpenAI and Google reshape how information is accessed and consumed, serious questions arise around data privacy, misinformation, and the ethical deployment of AI in public information systems.

What this means for SEO and AEO strategies

The emergence of ChatGPT as a search engine accelerates the case for answer engine optimisation and generative engine optimisation. If AI systems are becoming the primary interface between users and information, then being cited and retrieved by those systems becomes as important as ranking in a traditional SERP. This is not a future concern; it is a present one.

Structured, authoritative, clearly sourced content performs better in AI retrieval pipelines. Structured data and schema markup help AI systems understand and cite your content accurately. Entity-based SEO ensures your brand and its claims are interpretable by knowledge graph systems that power AI answers. These disciplines matter more, not less, as AI search matures.

Metric	Value	Change	What it means
Primary interface	AI conversational assistant	Was: keyword search box	Users type or speak natural language queries and receive synthesised answers rather than a list of links.
Citation model	Source attribution in-answer	Was: ranked blue links	AI search surfaces sources inline; being cited replaces being ranked first.
Content requirements	Authoritative, structured, entity-rich	Was: keyword-dense pages	Retrieval-augmented generation rewards clear, factual, well-attributed content.
Transactional search	Emerging AI capability	Was: Google Shopping / PPC	AI tools like You.com are beginning to handle price comparisons and purchase options.
Traditional search traffic	Projected 25% decline by 2026	Was: steady growth	Gartner forecasts significant volume moving from search engines to AI assistants.

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