Google has stated that optimizing content for AI systems is, in effect, the same work as traditional search engine optimization — a position that undercuts an emerging consulting market selling "AI optimization" as a separate service.

The statement came via Practical Ecommerce's report, "Google Says AI Optimization Is Just SEO." For merchants, agencies, and publishers, the message is blunt: if your site already follows established SEO fundamentals, you are largely covered for AI-driven discovery too.

What does the claim actually mean?

Over the past two years, vendors have marketed "AI optimization," "AEO" (answer engine optimization), and "GEO" (generative engine optimization) as distinct disciplines. Their pitch: brands need new tactics, audits, and retainers to appear in AI chat answers and AI-generated search summaries.

Google's position collapses that distinction. The company indicates that the same signals that have long governed search rankings — useful content, clear structure, crawlability, authority — are what AI systems rely on when they surface and summarize content.

For an ecommerce operator, that means the checklist has not changed much:

• Publish genuinely useful product and category content
• Keep technical SEO hygiene intact: fast pages, clean markup, accessible crawling
• Maintain structured data so machines can parse offerings
• Build authority through links, reviews, and brand mentions
• Answer real customer questions in plain language

Why does this matter for sellers?

Budgets are finite. If "AI optimization" is just SEO, then a separate line item for it may be wasted spend — or worse, a way for consultancies to resell the same audit twice under different labels.

Google's stance gives buyers a simple test. When a vendor pitches a proprietary AI-visibility package, ask what it contains that a competent SEO engagement does not. If the answer boils down to content quality, structure, and crawlability, you already own that playbook.

That skepticism is warranted. Trade-press coverage of the SEO industry has documented recurring cycles in which old services get rebranded around each new search feature, from mobile-first to voice search to AI overviews. Each wave arrived with new acronyms and, frequently, little new substance.

Is anything genuinely different this time?

Some things are. AI systems summarize rather than rank, and they can paraphrase a merchant's content without sending a click. That changes the economics of content marketing: visibility in an AI answer may not translate into traffic the way a top-ten ranking once did.

But according to Google, the input side — what makes content eligible to be cited — remains classic SEO work. The tools and outputs changed; the optimization levers did not.

What should merchants do now?

Practical steps stay familiar and cheap relative to new consulting retainers:

1. Audit existing SEO fundamentals before buying any "AI" add-on service
2. Strengthen structured data and question-and-answer content on product pages
3. Track brand mentions and citations in AI tools if you can, but treat them as a metric, not a mandate for new spending
4. Ask vendors to itemize exactly what an "AI optimization" engagement delivers beyond standard SEO

The bottom line

Google's message to the trade is a useful corrective: the fundamentals of getting found have not been repealed by AI. Sellers who invested in solid SEO retain most of what they need. Sellers who neglected it now have one more reason to fix the basics — and one less reason to pay twice for the same work.