What is GEO

Generative Engine Optimization, or GEO, is a relatively new digital content optimization practice that aims to increase the visibility of online stores in responses generated by artificial intelligence.

How GEO differs from SEO

Unlike traditional SEO, which focuses on positioning pages in classic search results, GEO focuses on making content understandable, credible, and used by AI models in generated recommendations and product summaries. This means that optimizing for AI requires a different approach than traditional SEO techniques, which often rely on keywords and links.

In GEO, it also becomes crucial to understand how AI models interpret data and what information is most valuable to them. In practice, this means content must not only be well-written but also properly structured so that it can be easily processed by algorithms.

It is also worth remembering that GEO does not interfere with traditional SEO, which means that optimization for AI does not negatively affect positions in classic search results.

GEO is the future of e-commerce

With the growing popularity of large language models (LLMs) such as ChatGPT, Google Gemini and local models, more and more customers are starting the buying process with just queries in AI systems. Stores that are not visible in these channels are losing a significant amount of potential traffic and sales.

A tool in marketing

GEO is thus becoming an indispensable part of the marketing strategy to reach customers with a ready-made purchase decision, who they convert up to twice as often as users from traditional ad campaigns.

User experience

It is worth noting that successful GEO implementation can also improve the user experience, as the the content provided is more relevant and tailored to their needs. This allows customers to find what they are looking for faster, which in turn leads to increase loyalty and recurring purchases.

Content optimization strategies for GEO

As AI technology becomes more advanced, it will be crucial to constantly adapt optimization strategies to meet the growing demands of the market. Above all, AI-friendly content creation and structuring of data and metadata are worth keeping in mind.

Creating AI-friendly product content

A key element of GEO is to create content that is not only appealing to humans, but most importantly readable and understandable to AI algorithms. This means that product descriptions should be precise, contain relevant technical data and avoid excessive redundancy. AI uses this information to generate recommendations and comparisons that users see in search results. In practice, it is worth ensuring that each product had a full, structured description that answers customers' most frequently asked questions.

Structuring data and metadata for better visibility

The second pillar of successful GEO is proper data structuring. AI models understand and use information better when it is presented in a standardized format, such as. Google XML, which is widely used in e-commerce.

It is important that the metadata includes detailed product information, such as:

• price,
• availability,
• variants,
• customer reviews,
• technical parameters.

This allows AI to quickly compare products and suggest the best options to the user.

In addition, the use of structured data schemas, such as Schema.org, can significantly improve the visibility of products in search engines, resulting in more traffic to the site.

How to use GEO in business

Choosing the right tool

GEO implementation can be greatly facilitated by modern tools that automate the process of providing data to AI models. An example is the platform Semly, which allows online stores to add their products to the most popular language models, such as ChatGPT and Google Gemini, without having to write code or install plug-ins.

Semly works on the principle of automatic updating of the offer based on a standard product feed in Google XML format. This allows stores to quickly and securely increase their visibility in the AI ecosystem without risking the loss of existing SEO positions. What's more, the platform does not charge commissions or fees for clicks, making it an attractive alternative to traditional advertising channels.

Measure the effectiveness of GEO activities and adjust strategies

As with other marketing activities, the effectiveness of GEO should be regularly monitored and analyzed. Three key indicators are worth paying attention to:

1. Increase in the number of product searches in AI models
2. Conversion rate of customers acquired from these sources
3. Share of AI-generated traffic in total store traffic

Examples from the market show that stores using GEO can record up to 18% increase in conversions thanks to customers gleaned from AI models. In addition, analyzing user behavior allows us to continually adjust our content and product data to better meet the demands of algorithms and customer preferences.

With data from GEO, stores can better understand what products their customers are interested in and how to promote them more effectively.

Personalization is becoming a key element of marketing strategies, and its effectiveness can be measured by analyzing indicators such as CTR (Click-Through Rate) or ROI (Return on Investment).

In the context of GEO implementation, it is also important to understand the role played by the opinions and customer reviews. AI models can analyze this data to predict which products will be most popular during a given period. This allows stores to:

• better plan your promotional campaigns
• and adjust the assortment to current market trends.

Using sentiment analysis allows you to faster response to changing customer preferences, which is invaluable in a dynamic e-commerce environment.

Join the e-commerce revolution with Semly

The Semly platform offers a simple way to open a new sales channel in the most popular AI language models, such as ChatGPT and Google Gemini. With Semly, stores gain access to free traffic that converts better than traditional advertising campaigns, without having to invest in expensive advertising.

All you need to do is provide a standard product feed, and Semly's technology will take care of the rest - from automatically updating the offer to optimizing for AI.

Thanks to advanced data analytics, the platform provides valuable information about users' shopping behavior, which allows us to tailor our offerings to their expectations even more effectively. This, in turn, translates into higher conversion rates and greater customer satisfaction, which is crucial in today's competitive e-commerce environment.

Importantly, the subscription works on a monthly model, without long-term commitments and commissions for sales or clicks. Stores can therefore flexibly test and develop their presence in the AI ecosystem, seeing real results after just a month or so of implementation.

As AI technology becomes more widespread, stores that choose to partner with Semly will be able to benefit from innovative solutions that will set them apart from others. Integration with AI not only increases sales efficiency, but also allows for the automation of many processes, saving time and resources. This allows entrepreneurs to focus on growing your business instead of worrying about day-to-day operations.

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