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GEO: The Secret to Becoming AI’s Favourite Content

April 4, 2025 • Sangita Support Squad

Wondering why?

“Artificial Intelligence is no longer the future—it’s our present reality! Don’t get left behind; equip yourself with necessary skills and step into the spotlight. Artificial Intelligence has revolutionized the world with its automation, and made businesses more competitive. The front row of innovation is waiting for you—get ready to take your place with GEO.”

Does GEO sound unfamiliar?

Let’s get familiar with the term first.

GEO stands for Generative Engine Optimization technique used for the optimization of your content to get recommended by the Generative Search Engines.

  • “ChatGPT” – Sounds familiar? 
  • How many times have you searched on ChatGPT?

             – Innumerous times a day, Right! 

    -ChatGPT is a Generative AI, where you don’t get web links, rather personalized answers.

  • “Have you ever noticed that whenever you search for any recommendation whether in a traditional search engine like Google or GenAI like ChatGPT, they always provide some top list?”
  • Yes? If not then go and search you’ll see the result and come back again.
  • Now you’ll know that the recommendation is based on the content quality and many more key factors that affect the content visibility in that list.
  • “Now you must be thinking how chatgpt manages the content?” 

There Are two ways –

  • Technical
  • Non-Technical

The technical way requires a good knowledge of machine learning and Artificial intelligence but, for the non-technical way you don’t need that knowledge.

In this blog we’ll focus on the non-technical solution.

This blog talks about one of the most cutting edge technologies, no one’s talking about. We’ll know about the newest topic GEO for content optimization in the context of GenAI search.

  1. SEO – Search Engine Optimization
  2. SEO for traditional search engine
  3. ‘Switch from SEO to GEO’ OR ‘Integrate SEO and GEO’? -Integration og GEO with SEO
  4. GenAI Backend -Neural network and LLM
  5. How does LLM retrieve data? Techniques of LLM retrieval -GEO tactics in one shot
  6. Future scope  -Fusion with AR, Voice search , Hyper personalization

Have you ever made any Website?

-If yes, then you must want your website to be the most recommended one.

Now we’ll  decode the logic how to boost your content to maximize the visibility

Here we will learn about the optimization techniques to make our content most recommended. There are actually two types of search engine – Traditional Search Engine and the Generative Search Engine. 

Traditional search engines like – Google, Microsoft Bing etc. when we search on these they provide some links and then we go to those links of websites, blogs, research papers etc. If we want our content visible in these traditional search engine recommendations, the solution is SEO i.e Search Engine optimization.

Generative search Engines like- ChatGPT, Google Gemini, Apple Siri, Amazon Alexa etc. when we search on these we get so many personalized answers. GenAI is built with efficient machine learning models like Neural network, LLM for running complex algorithms and  provides personalized answers based on several site’s content.

In this Blog we’ll discuss about the GenAI recommendation

Why is GenAI not a Traditional search engine?

Traditional Search is now outdated after the revolutionization of Generative Ai search Engines  . By the rise of Artificial Intelligence from the late 20’s humans got highly dependent on the AI models for the day to day works. People are preferring more personalized answers for their queries rather than the web recommendations. Most people prefer conversational question answers like human interactions. AS a result the usage of traditional search engines is dropping drastically. 

SEO(Search Engine Optimization)

-WE are more familiar with the term SEO as it is used to optimize the content for the traditional search engines like- Google, Bing.

Why SEO for Traditional Search Engines?

In the case of Traditional Search Engines we had the SEO(Search Engine Optimization) for making our content optimized and visible higher in the recommendation list. For the content analysis Google Search Engine uses their Google Natural Language API. For these analysis developers get to understand the key factors affecting their content for the less or higher organic traffic. SEO helps to refine the content to be the most optimized version. 

“Switch from SEO to GEO

OR 

Integrate SEO and GEO”

As we already discussed that SEO is the optimization technique for the Traditional Search Engines, GEO is the one for the GenAI search. As GenAI is ruling over the worldwide now we must ensure that our content gets recommended by the GenAI search engines like ChatGPT, Perplexity etc.

We can say that GEO is the upgraded concept of SEO where we must need the knowledge of SEO first then we can implement the GEO. So there’s no competition between SEO and GEO, rather one must integrate the concept of GEO with SEO for the UTmOst optimization.

” GEO+SEO = The solution “

They’re two essential halves of your brand’s visibility puzzle in an AI-first landscape.

GenAI Backend:

genAI backend for geo

Generative AI produces outputs using neural networks and Large language models(LLM) through advanced machine learning processes. Neural network is the backbone of GenAI. LLM builds knowledge by ingesting unstructured data sources. During training, it identifies patterns based on how often and in what context specific words and entities appear together. 

Large language models don’t search in databases; rather it uses understanding of entities to predict which comes next logically.

How does LLM retrieve data?

The relevance of GEO starts here,

LLM prioritises some points for the data retrieval to produce the outputs. These points are vital for the GEO. The GEO analyst must keep these points in mind during optimization of the content or Websites.

Now let’s talk about those techniques

  • Timely and Authoritative news website
  • Reputable industry publication
  • Established knowledge platforms
  • Discussion forums
  • Knowledge Graph

Now the goal is optimizing the retrievability.

Three main key factors –

Presence + Recognition + Recognition 

1. Presence: Ensure that content is available and properly indexed for discovery in search results.

2. Recognition: Make information easily identifiable with clear titles, metadata, and relevant keywords.

3. Accessibility: Ensure that once found, content can be quickly and easily accessed without barriers or delays.

GEO(Generative Engine Optimization)

Combines the optimization technique with LLM to synthesize information for multiple resources, generating, multimodal responses to user queries.

  • Content Quality
  • Generative AI search and Analysis
  • AI optimized content and Structured Data
  • Content Distribution and engagement
  • Brand Authority and Credibility
  • Technical SEO and Accessibility

To make a content technically sound ensure AI model search engines can Crawl, index and interpret your content seamlessly.

  •  Crawling And Indexing Fixes
  • Optimize HTML tags
  • Mobile First optimization
  • Page Speed
  • Secured AI preferred HTTPS

 GEO Tactics in one shot:

KeywordsQuotationsUnique WordsTech Terms
StatisticsConversational &FluentAuthoritative contentBranding

Future Scope:

  • Fusion GEO with AR

Combining GEO with Augmented Reality can pioneer some great technology. Still now there’s no Technology which can produce results based on visual input, evaluating the criteria and then giving exact personalized results best for the entity.

  • Fusion with Voice Search

Voice search is most popular now, even the GenAI search engines have also implemented voice search, so Implementing GEO for the voice search will revolutionize search and result optimization.

  • Hyper Personalization 

Hyper-personalization leverages AI, user data, and behavioral insights to deliver highly customized experiences. This approach tailors content, recommendations, and interactions to individual preferences and real-time needs, significantly enhancing user engagement and satisfaction.

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