Should I still invest in SEO if AI answers everything?

Q: Does AI search use Google's index?

Google's AI Overviews and Gemini are built on Google's crawl and index, the same index traditional SEO targets. Perplexity and ChatGPT lean on their own retrieval and on Bing, but all of them reward crawlable, well-structured, authoritative content.

Q: What SEO work should I stop doing because of AI search?

Stop over-investing in ranking #1 for broad informational keywords whose answer AI now gives inline, in thin content spun to hit a word count, and in exact-match keyword gymnastics. Both Google and AI engines parse intent now, so writing for a phrase instead of a question reads as dated.

Q: What is one SEO investment that also pays off in AI search?

A well-built comparison page. A clean feature table with honest tradeoffs can rank for commercial searches in Google, get lifted into an AI Overview, and become a source ChatGPT or Gemini cites - three returns on one piece of work built with the same SEO discipline.

Question

Should I still invest in SEO if AI answers everything?

Maciej Grabek · Accepted Answer

Yes, keep investing in SEO, but the job changes. The same fundamentals - crawlable, authoritative, well-structured content - feed both SEO and AI answers, and Google's index still powers Gemini and AI Overviews. What shifts: less chasing rank #1 for informational queries, more being the source AI engines cite and owning branded and transactional intent. Why SEO and GEO are not either/or AI search does not run on a separate internet. When you ask Gemini or Google's AI Overviews a question, the answer is assembled from Google's crawl and index - the exact same index your SEO work targets. Perplexity and ChatGPT lean on their own retrieval and on Bing, but they still reward the things SEO always rewarded: pages a crawler can read, content that answers the question directly, and enough external authority that a machine trusts the source. So the honest framing is not "SEO is dead, do GEO instead." It is that a large chunk of your existing SEO investment already does double duty. The parts that stop paying off are narrow, and they were mostly the parts that never created much value anyway. Keep doing: the fundamentals that feed both These carry over almost unchanged. If anything, AI engines raise the stakes because they pick a handful of sources instead of ten blue links. Technical crawlability - fast pages, clean HTML, no content locked behind JavaScript an engine cannot render. Genuine topical authority - depth on a subject, internal linking, and content that earns citations from other sites. Structured, well-organized content - clear headings, direct answers near the top, tables and lists where they fit. Getting mentioned off-site - reviews, listicles, forum threads, and reference pages. AI engines weigh third-party corroboration heavily. Stop doing: or stop over-investing This is where budgets should shift, not disappear. Chasing rank #1 for broad informational keywords whose answer AI now gives inline. If "how does compound interest work" is answered in an AI Overview, the click was going to shrink regardless of your rank. Thin content spun to hit a keyword count. AI engines are worse than Google at rewarding volume and better at ignoring pages that add nothing. Exact-match keyword gymnastics. Both Google and AI engines parse intent now; writing for a phrase instead of a question reads as dated. Start doing: the GEO layer on top The net-new work is making your content easy for an engine to lift and cite, and measuring whether it does. Answer questions the way people ask AI - full sentences and prompts, not two-word keywords. "Best CRM for a five-person agency" beats targeting "CRM software". Add structured data (FAQPage, Product, Organization) so an engine can parse your claims without guessing. Build off-site presence on the sources engines quote - G2, Reddit, industry listicles, Wikipedia-adjacent references. Track which engines cite you, for which prompts, and where you are invisible. You cannot improve a citation you never measured. One investment that pays off twice A well-built comparison page is the clearest example. Suppose you sell project management software and you publish a genuinely useful page comparing the main tools for small teams, with a clean feature table and honest tradeoffs. Prompt: "What's the best project management tool for a small marketing team?" Ask ChatGPT or Gemini and they tend to name Asana, Trello, ClickUp, and Monday - and they pull the reasoning from exactly the kind of structured comparison content that also ranks in traditional search. That one page can rank for commercial-intent searches in Google, get lifted into an AI Overview, and become a source ChatGPT cites - three returns on one piece of work. The SEO discipline that produces it (research the intent, structure the answer, earn links) is the same discipline that makes it citable. The vendor-neutral way to check your standing is to run your priority prompts through ChatGPT, Perplexity, Gemini, Claude, and DeepSeek by hand and note who gets named. avisibli automates that across all five engines and tracks it over time, so you can see whether an SEO investment is also earning AI citations. Either way, the point is to measure both surfaces, not to abandon one for the other. avisibli is the GEO platform that publishes this answer library. Self-references are limited to topics where a tool-based answer is genuinely useful to readers.