AI vs. GEO vs. SEO: What’s the Real Name for Search Optimization?
▼ Summary
– SEOs and their bosses are rapidly adopting AI search optimization, though many are still figuring out what it means.
– There is no consensus on terminology, with terms like “AI search optimization,” “GEO,” and “AEO” all being used.
– Nearly all SEOs reported that leadership has asked about AI search visibility in the past year, making it a mainstream topic.
– SEO teams primarily lead AI search efforts, with few dedicated teams or cross-functional ownership in place.
– AI search currently drives minimal revenue, with 62% reporting it contributes less than 5%, yet executives are demanding strategies and reports.
The world of search is undergoing a seismic shift, and professionals are racing to adapt. A recent survey reveals that while AI search optimization is the term gaining the most traction, the industry is far from settled on a single name for this evolving practice. Senior SEOs from around the globe are navigating client expectations, leadership pressure, and experimental strategies, all while grappling with how to even label what they do.
According to the findings, more than 200 experienced SEO professionals shared how they and their organizations refer to this new frontier. Thirty-six percent say their clients or managers simply call it “AI search optimization.” Another 27% stick with the familiar term SEO, though they apply it specifically to AI platforms. A smaller group, 18%, uses the phrase generative engine optimization (GEO), while others experiment with labels like AEO (answer engine optimization) or LLMO.
Interest from the top is undeniable. Nearly 91% of respondents confirmed that leadership has inquired about AI search visibility within the past year, signaling that the topic has firmly entered mainstream business conversations.
When it comes to ownership, the SEO team remains in the driver’s seat. Seventy-five percent of those surveyed reported that their existing SEO department leads AI search initiatives. Very few organizations have created dedicated AI search teams or established cross-functional ownership structures, suggesting that most are still relying on traditional SEO roles to manage new responsibilities.
So what’s working? SEOs are prioritizing several key tactics. Implementing schema and structured data is a major focus, along with digital PR and earning citations on authoritative sources like Reddit and Wikipedia. Many are also restructuring content into smaller chunks and developing FAQ-style formats to improve retrieval. Tracking where and how their content is cited within AI tools, such as ChatGPT, Perplexity, and Gemini, is another common practice.
Yet significant challenges remain. For the majority, AI search currently drives less than 5% of revenue, highlighting a gap between effort and financial return. Measurement is another pain point, with professionals citing a lack of clear attribution and the unpredictable nature of AI-generated answers as top frustrations.
Why does this matter? Even though AI search has yet to prove itself as a major revenue driver, clients and executives are already asking for strategies, reports, and dedicated budgets. This creates a tricky balancing act, teams are being pushed to invest in an area that is reshaping priorities faster than it is delivering measurable outcomes.
In short, the landscape is messy. SEOs are testing a variety of approaches, and there’s still no consensus on what to call this new discipline, or who should ultimately own it. The rapid evolution of AI search means that adaptation, not answers, is the current reality.
(Source: Search Engine Land)
