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But this new era began in November 2022, when users started asking questions toChatGPT.
The release ofOpenAIschatbotmarked the transition from search engines to answer engines, something we are experiencing today.
Yet, this transition could have been much smoother.
VP of Engineering at SE Ranking.
Google AI Overviews: official launch or huge public beta?
Google’s cautious approach might be due to the criticism AI Overviews have faced from the media and users.
It also seems like Google has internal mechanisms and criteria for evaluating the quality of AI Overviews-generated answers.
Post-launch, these criteria appear to have become stricter.
Google allows Gemini to generate answers in niches where it is more confident in the responses.
This is presumably because AIs hallucinations and biases have greater potential to cause harm in these niches.
Google vs. OpenAI
Harmful answers can still appear in niches where Google frequently triggers AI Overviews.
Reddit, in particular, is full of jokes and inappropriate memes.
This discrepancy suggests that Gemini may rely more on citing Reddit directly rather than analyzing the content.
Google had DeepMind at one point, but few people care or even remember.
The launch of SearchGPT confirmed this impression.
From this point forward, it appears OpenAI will compete directly with Google.
On top of that, OpenAI is targeting Google and other LLMs' biggest weakness.
Once AI Overviews satisfy users queries, the need to scroll to organic results and dig deeper will disappear.
And we could be heading towards an even more fragmented and dull Internet.
However, Googles major advantage is the enormous volume of data the giant can use to train its models.
Beyond the billions of daily Google searches, the company can access data from 3 billion Android users.
Apple has also created its own LLM and plans to integrate other models, like Claude.
According to SE Rankings latest research on AI Overviews, scrolling to organic results is becoming increasingly difficult.
Featured snippets appear next to AI Overviews 45.39% of the time.
Moreover, OpenAI already provides users with more than just search answers.
Gemini has only now begun to integrate into G-Suite, and the success of this integration remains uncertain.
In the alternative and worst-case scenario, some users might blindly trust AI Overviews answers without fact-checking.
Google and other LLM models must take this responsibility seriously.
So, who will lead the GenAI era of search?
Both Google and OpenAI have significant advantages.
Fact-checking remains the primary challenge for all AI models.
Despite its flops this year, Google could still win the GenAI search race.
Integrating Gemini into Android will help 3 billion people use AI in their daily lives.
If nearly half the planet uses Gemini, it will become the most trained AI model in the world.
Nevertheless, OpenAI can be unpredictable, and this is a rapidly changing field.
Current and new advancements that we may not yet be aware of could shift the landscape entirely once again.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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