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LovedByAI Launches AI SEO Solution to Help Businesses Adapt to 700M ChatGPT Users

LovedByAI introduces “AI SEO” service to help small businesses optimize WordPress sites for the 700M weekly ChatGPT users transitioning from traditional search engines.

As the landscape of search behavior undergoes a significant transformation, LovedByAI has launched a new service aimed at assisting small business owners in adapting from traditional Google Search to emerging AI Answer Engines. With the growing prevalence of AI chatbots, the urgency for such a service has escalated. OpenAI recently reported that its popular chatbot, ChatGPT, boasts over 700 million weekly active users. In light of this shift, 55% of consumers are now opting for AI chatbots over conventional search engines for a variety of tasks, including product research and troubleshooting.

This transition creates a pressing challenge for small business owners, whose websites optimized solely for Google may now be largely invisible to a substantial portion of the market. To address this issue, LovedByAI offers a specialized service called “AI SEO” and Generative Engine Optimization (GEO), designed specifically for WordPress sites. The service automates the complex technical processes necessary for making business data comprehensible to large language models (LLMs) such as ChatGPT, Claude, and Gemini.

“The average business owner barely has time to manage their inventory, let alone learn how to optimize for vector search or neural networks,” said Gilad Leshem, Co-founder of LovedByAI. “We built this because the stats are undeniable; people are asking AI for answers, not just typing keywords into a search bar. If your WordPress site isn’t structured for these models, you don’t exist in the answer.”

The LovedByAI solution operates through a straightforward process that requires minimal intervention from users. Once the WordPress plugin is installed and activated, it serves as a “set-and-forget” solution. The system conducts a GEO Gap Analysis by automatically scanning and auditing all web pages to identify specific deficiencies in Generative Engine Optimization. Following this, LovedByAI optimizes the site’s content for AI comprehension, employing empirical data and advanced research on AI recommendation logic.

By effectively structuring data, the service enhances the citation potential of businesses, allowing AI models to better grasp the context of their operations. Consequently, this leads to more accurate citations and direct client referrals. Users have access to a dashboard that tracks how frequently their site is mentioned, the volume of referred traffic, and detailed performance breakdowns by individual page and AI model.

For more information on optimizing WordPress for the AI era, users can visit LovedByAI’s website. The company is based in Tel Aviv, Israel, and aims to empower businesses transitioning from traditional SEO to a format that is ready for AI-driven visibility without requiring technical expertise.

The launch of this service comes at a time when the implications of AI technology are increasingly felt across various sectors. As more consumers turn to AI for immediate answers, small business owners are urged to re-evaluate their online presence to remain competitive. The ability to adapt to these rapid changes in consumer behavior could determine the success or failure of many businesses in the coming years.

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Sofía Méndez
Written By

At AIPressa, my work focuses on deciphering how artificial intelligence is transforming digital marketing in ways that seemed like science fiction just a few years ago. I've closely followed the evolution from early automation tools to today's generative AI systems that create complete campaigns. My approach: separating strategies that truly work from marketing noise, always seeking the balance between technological innovation and measurable results. When I'm not analyzing the latest AI marketing trends, I'm probably experimenting with new automation tools or building workflows that promise to revolutionize my creative process.

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