With a drop in ad conversion rates, Google wants to automate ads with AI across 100s of products

Google reveals top searches made by Nigerians in the 1st Quarter of 2023

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Google is planning to leverage generative artificial intelligence (AI) and large language models (LLMs) to automate advertising and consumer services supported by ads. The tech giant aims to swiftly integrate new AI technology into its core products. Recently, Google unveiled its latest and most powerful LLM, PaLM 2, which is trained on vast amounts of text data and can generate human-like responses to questions and commands. Google groups intend to use PaLM 2-powered tools to suggest videos for YouTube creators and enable advertisers to create their own media content.

Google has been experimenting with PaLM 2 for YouTube youth content, generating titles and descriptions. The company is exploring the idea of providing creators with five video ideas based on relevant topics using this technology. 

With the AI chatbot trend rapidly spreading across the tech industry and attracting the attention of major players like Microsoft, Meta, and Amazon, Google and its counterparts are racing to incorporate their most advanced models into as many products as possible. After Microsoft-backed OpenAI’s ChatGPT’s public launch raised concerns about the future of internet search, Google has felt an urgent need to keep up.

Having experienced consistent and rapid expansion for almost two decades, Google has recently faced a prolonged period of muted revenue growth. Concerns about an economic downturn have prompted advertisers to tighten their online marketing budgets, affecting Google, Facebook, and others. This year, paid search advertising conversion rates have dropped across most industries, with Google being the only exception.

To boost revenue and enhance margins, Google plans to utilize generative AI not only in search, email, and spreadsheets but also across more than 100 Google products, including the Google Play Store, Gmail, Android Search, and Guides. AI-powered customer support chatbots could provide concise answers to specific questions, allow follow-up inquiries, and suggest advertising strategies tailored to customers’ needs.

Google Duet and Chat assistance now enable users to obtain answers to cloud-related questions and detailed implementation plans for their projects using natural language queries. Additionally, Google is developing an internal image creation product similar to Stable Diffusion and OpenAI’s DALL-E, capable of rapidly generating images in various styles based on text prompts from users.

Google’s intention to incorporate its latest AI models into advertising is in line with Meta’s recent introduction of the AI Sandbox, a testing platform for advertisers to experiment with generative AI-powered ad tools. Meta also announced updates to Meta Benefit, its suite of digital tools and products for advertisers.

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