Beyond CTR: The New KPIs for Generative Engine Optimization

Why Traditional SEO Metrics Are No Longer Enough

For many years, digital marketers have been using metrics like keyword positions, impressions, and click-through rate (CTR) to measure their performance in search engines. If the content is ranking high and has a certain number of clicks, it is considered successful.

These metrics were sufficient when users were finding content through traditional search engine results. However, the evolution of search strategies shows that SEO has moved beyond simple rankings and clicks. Understanding this transition is important, as explained in Strategic SEO vs Traditional SEO, which highlights how modern SEO focuses more on long-term visibility and strategic influence rather than only rankings.

But with the rise of AI-based search engines, the way users are consuming online content is changing. Instead of clicking on different links to find the desired information, users are now using AI-based search engines like ChatGPT and Perplexity AI, which provide answers to users' questions based on the results of multiple sources. Even Google is using AI to revolutionize the way users search for content online.

In this new paradigm, users can receive the information they need without having clicked on any external link. Therefore, CTR alone is no longer enough for measuring digital visibility. A brand can now influence a user through a recommendation generated by AI, even if the user never visited the site. In this regard, a new set of KPIs for Generative Engine Optimization (GEO) has come up for measuring visibility and influence within AI results rather than click results.

The Shift from Click-Based Metrics to Influence-Based Metrics

SEO strategies traditionally focused on click-based results. Marketers would optimize their web pages so that they would rank higher in search results, thereby encouraging users to click on their sites. The higher a site ranked in a search engine results page, the more potential traffic it would receive.

Generative search results offer a different paradigm because AI systems can gather information from multiple sources and present a summarized response to users. Even though these results often include references to sources used for research, users need not click on these external links.

This means that brands can still influence user decision-making even without an increase in traffic. For example, if an AI system suggests a company as one of the best in a certain field, this can significantly influence the user's decision.

Because of this shift, it is now necessary for marketers to measure their brand's visibility in the answers provided by AI platforms. Instead of focusing on the clicks, it is now necessary for marketers to measure how often their brand is visible when the AI system answers the user's prompt.

KPI 1: AI Citations

One of the most significant metrics in Generative Engine Optimization is AI citations. AI citations are when an AI system cites a website, article, or brand as a source of the information it is giving to its users.

Some AI systems are more transparent with AI citations. For example, the Perplexity AI system usually shows users the sources it has used to provide the answers to their questions.

If an AI system cites your brand, it means your content is considered credible and trustworthy as a source of information. If your brand's content is often cited, it means you are considered credible and trustworthy in a certain field.

For example, when users ask AI assistants about the best project management tools, the system may recommend brands like monday.com, Asana or ClickUp based on widely available information across the web.

KPI 2: Prompt Visibility

Another GEO KPI is prompt visibility. Prompt visibility is a measure of how often a brand is visible in response sets generated from specific queries by users.

A user can engage with an AI platform by typing a prompt such as "What are some of the best tools for remote team collaboration?" or "What companies offer effective digital marketing solutions?" The platform will then scan available information on the topic and provide a response that includes a few recommended brands for each query.

If a brand is consistently visible in response sets generated by users, it implies a high prompt visibility for a brand. Marketers can experiment with prompts using AI assistants such as ChatGPT or discovery tools like Perplexity AI to evaluate whether their brand appears in AI-generated responses. Prompt visibility can be achieved through comprehensive content coverage, strong entity signals, and content from credible sources.

KPI 3: Share of Voice in AI Responses

Share of Voice is another significant KPI in the GEO measurement framework. In the context of traditional SEO, the term "Share of Voice" was used to determine the number of times the brand's name appeared in the search results compared to its competitors.

Share of Voice, in the context of the new world of generative search, means determining the number of times the brand's name is included in the recommendations generated by the AI system. This is because, in the new world of search, when users ask questions that require comparisons and recommendations, the AI system may include the names of several brands in the answer.

For example, when the user asks the AI assistant what the best software is in the industry, the AI assistant may recommend several brands in its response.

By determining the number of times the brand's name is included compared to its competitors, you can determine whether your digital presence is strong enough to compete with others in the new world of generative search.

KPI 4: AI Referral Traffic

While generative AI answers keep users engaged within the platform, some of these tools also provide clickable source links for users. By clicking these source links, AI referral traffic is generated for the website.

To monitor AI referral traffic, marketers can use analytics tools like Google Analytics 4. Using referral reports in these tools, marketers may be able to see traffic from AI platforms.

For instance, if we receive traffic from Perplexity AI, the user likely clicked on a source citation in an AI-generated answer for their question. Therefore, this traffic also proves that the AI platform is referring to the website.

While AI referral traffic may be relatively low in comparison to search traffic, it is also a positive sign that AI platforms are recognizing your website.

KPI 5: Brand Mentions Across the Web

One thing that AI systems use in their process is a lot of publicly available information, especially in generating their answers. Because of this, brand mentions are one of the most important factors in the process of Generative Engine Optimization.

When a brand is mentioned in many reliable sources, this only increases the brand's recognition as a reliable brand in the industry. This also helps AI systems realize that this brand is well-known in a certain niche or industry.

The more reliable the mentions are, the better chances the AI system has in referencing the brand in its answers.

KPI 6: AI Sentiment Signals

Another new form of GEO metrics is AI sentiment signals. In this case, large language models often scan reviews, discussions, and feedback from all over the internet while creating a summary about a certain brand.

For instance, when a person asks an AI model about the pros and cons of a certain company, it can be based on information obtained from online reviews and discussions.

A positive sentiment can be beneficial in creating a description about a brand through AI models. A negative sentiment can affect how a certain brand is summarized by the AI model.

Conclusion: Measuring Influence in the Age of Generative Search

With the emergence of AI-powered search, the way businesses measure their digital presence is also undergoing a sea change. While metrics like click-through rate are still important, they are no longer sufficient to measure the influence of generative search.

This is where marketers need to look at new metrics for Generative Engine Optimization, such as AI citations, prompt visibility, share of voice, AI referral traffic, brand mentions, and sentiment, to gain a better understanding of how AI systems perceive and promote brands.

With the ever-evolving nature of generative search, businesses that use these new metrics to measure their influence will be in a better position to assess their presence, build their authority, and sustain their influence in the ever-evolving generative search landscape.