How AI Is Changing SEO (and Whether It Is Killing It)

AI is changing SEO by moving the output of search from clicks on blue links to citations inside AI-generated answers. The discipline survives; the deliverable changed. I run SEO across a 340-page site and 100 tracked ecommerce brands, and the same pattern shows up everywhere: rankings improve, traditional clicks stay flat, and a new citation channel grows underneath. This page walks through what changed, what died, and what to do, with the first-party numbers included.

How is AI changing SEO?

AI changes SEO in three places at once: where answers appear (AI Overviews, AI Mode and chat assistants instead of only blue links), which index feeds them (ChatGPT search runs on Bing), and what success looks like (being cited inside the answer, not only ranked under it). On our own site, average position improved from the 60s to the low 20s over three months while Google clicks stayed flat at 5 to 10 a day: the rankings arrived, the AI surfaces absorbed the clicks. Over the same window, AI assistant requests to the site grew 31 percent week on week. The question that follows is the one every business owner asks: does that mean SEO is dead?

Is SEO dead because of AI?

SEO is not dead because of AI; the demand for optimisation grew while the output changed shape. Three first-party signals make the case. One: AI systems request our pages roughly 18,000 times a week for answer-grounding, a channel that barely existed two years ago, and two-thirds of those requests are live citation lookups rather than training crawls. Two: Bing, the index behind ChatGPT search and Copilot, sends 10 to 20 times the clicks Google does for the same content. Three: one dense reference page alone takes almost 6,000 AI grounding requests a week. Dead channels do not grow like that. What died is a specific tactic: publishing thin informational pages and collecting easy clicks. That tactic is gone because the machine answers those queries itself (and flooding the gap with AI content fails for the same reason), which raises the harder question of replacement.

Will AI replace SEO?

AI replaces tasks inside SEO, not the discipline. Drafting, clustering, bulk metadata, log analysis and first-pass audits run faster with AI in the loop; we use it for all five. The judgement layer stays human: which topics deserve pages, what claims are true, which data is worth publishing, and what the brand stands behind. The jobs shift follows the same line. Roles built on producing commodity words shrink; roles built on strategy, verification and distinctive data grow. The practical follow-up is knowing exactly which search surfaces changed and how to plan for each.

What has AI actually changed in search results?

The results page itself changed more than the algorithm did. Four surfaces matter now, and each rewards something specific:

Each surface feeds the next: a page that ranks earns citations, citations earn brand queries, brand queries strengthen rankings. Working that loop deliberately is what doing SEO for AI means.

How do you do SEO for AI?

Doing SEO for AI means optimising to be cited by AI systems as well as ranked by Google. The full discipline has its own name and playbook, covered in what AI SEO is and the strategies that hold up in practice. The short version, in the order that pays fastest: keep every page answer-first and extractable; publish first-party data no one else has; keep entity signals consistent everywhere your name appears; treat Bing as a first-class index because ChatGPT reads it; and cover your core topics in more than one format, since AI search increasingly reads video and images alongside text. The questions below cover the phrasings people actually search this topic with.

FAQ: how AI and SEO fit together

How is AI transforming SEO?

AI transforms SEO by turning search results into generated answers: AI Overviews and AI Mode answer directly on Google, chat assistants answer from Bing's index, and pages compete to be the cited source inside those answers rather than only a ranked link beneath them.

Does AI affect SEO?

AI affects SEO measurably: informational queries lose clicks to AI answers, citation-worthy reference content gains AI grounding traffic, and video and image content earns placements through multimodal AI surfaces. The winners and losers on one site are visible in the data above.

Is SEO still relevant with AI?

SEO stays relevant because every AI answer is assembled from sources, and sourcing is a ranking problem. The brands that get cited are the ones AI systems can crawl, extract and trust: the same fundamentals, aimed at a new output.

Can AI do SEO for my website?

AI executes parts of SEO well: drafts, clustering, metadata, audits at scale. It does not decide what deserves to exist, verify facts against reality, or produce first-party data. Treat AI as the production layer and keep strategy and verification human.

Is SEO still worth it with AI?

SEO earns two outputs now, clicks and citations, and both compound. A site invisible to AI systems is absent from a growing share of buying conversations; the investment case moved, it did not shrink.

Sources

• Google: AI Mode multimodal search announcement (blog.google, 2025)
• Google Search Central: guidance on AI-generated content and the Search Console platform properties launch (2026)
• lawrencehitches.com channel data and StudioHawk 100-brand AI search dataset, 2026