optimizing for AI search is fundamentally the same as standard search<\/a>. I\u2019m not saying that one group of SEOs is right and another is wrong. The SEO community collectively discussing a topic and reaching different conclusions is one of the few things that doesn\u2019t change in search marketing.<\/p>\nAccording to Google, ranking in AI Overviews and AI Mode requires only standard SEO practices.<\/p>\n
Suzuki shared why AI search doesn\u2019t require different optimization strategies:<\/p>\n
\u201cTheir core message is that new AI-powered features like AI Overviews and AI Mode are built upon the same fundamental processes as traditional search. They utilize the same crawler (Googlebot), the same core index, and are influenced by the same ranking systems.<\/p>\n
They repeatedly emphasized this with the phrase \u201csame as above\u201d to signal that a separate, distinct strategy for \u201cAI SEO\u201d is unnecessary. The foundation of creating high-quality, helpful content remains the primary focus.\u201d<\/p>\n
Content Quality Is Not About How It\u2019s Created<\/p>\n
The second point that Google made was that their systems are tuned to identify content quality and that identifying whether the content was created by a human or AI is not part of that quality assessment.<\/p>\n
Gary Illyes is quoted as saying:<\/p>\n
\u201cWe are not trying\u201d to differentiate based on origin.\u201d<\/p>\n
According to Kenichi, the objective is to:<\/p>\n
\u201c\u2026identify and reward high-quality, helpful, and reliable content, regardless of whether it was created by a human or with the assistance of AI.\u201d<\/p>\n
AI Is Embedded Within Every Stage Of Search<\/p>\n
The third point that Google emphasized is that AI plays a role at every stage of search: crawling, indexing, and ranking.<\/p>\n
Regarding the ranking part, Suzuki wrote:<\/p>\n
\u201cRankBrain helps interpret novel queries, while the Multitask Unified Model (MUM) understands information across various formats (text, images, video) and 75 different languages.\u201d<\/p>\n
Unique Processes Of Generative AI Features<\/p>\n
The fourth point that Google emphasized is to acknowledge that AI Overviews does two different things at the ranking stage:<\/p>\n
Query Fan-Out
Generates multiple queries in order to provide deeper answers to queries, using the query fan-out technique.
\nGrounding
AI Overviews checks the generated answers against online sources to make sure that they are factually accurate, a process called grounding.<\/p>\n
Suzuki explains:<\/p>\n
\u201cIt then uses a process called \u201cgrounding\u201d to check the generated text against the information in its search index, a crucial step designed to verify facts and reduce the risk of AI \u2018hallucinations.’\u201d<\/p>\n
Takeaways:
\nAI SEO vs. Traditional SEO<\/p>\n
Google explicitly states that specialized \u201cAI SEO\u201d is not necessary.
\nStandard SEO practices remain sufficient to rank in AI-driven search experiences.<\/p>\n
Integration of AI in Google Search<\/p>\n
AI technology is deeply embedded across every stage of Google\u2019s organic search: crawling, indexing, and ranking.
\nTechnologies like RankBrain and the Multitask Unified Model (MUM) are foundational to Google\u2019s current search ranking system.<\/p>\n
Google\u2019s Emphasis on Content Quality<\/p>\n
Content quality assessment by Google is neutral regarding whether humans or AI produce the content.
\nThe primary goal remains identifying high-quality, helpful, and reliable content.<\/p>\n
Generative AI-Specific Techniques<\/p>\n
Google\u2019s AI Overviews employ specialized processes like \u201cquery fan-out\u201d to answer queries thoroughly.
\nA technique called \u201cgrounding\u201d is used to ensure factual accuracy by cross-checking generated content against indexed information.<\/p>\n
Google clarified that there\u2019s no need for AEO\/GEO for Google AI Overviews and AI Mode. Standard search engine optimization is all that\u2019s needed to rank across both standard and AI-based search. Content quality remains an important part of Google\u2019s algorithms, and they made a point to emphasize that they don\u2019t check whether content is created by a human or AI.<\/p>\n
Featured Image by Shutterstock\/Luis Molinero<\/p>\n","protected":false},"excerpt":{"rendered":"Google\u2019s Gary Illyes confirmed that AI Search does not require specialized optimization, saying that \u201cAI SEO\u201d is not…\n","protected":false},"author":2,"featured_media":20241,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-20240","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/20240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=20240"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/20240\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/20241"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=20240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=20240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=20240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}