Does traditional SEO still hold priority in the age of AI and new search interfaces?

Why does Google feel the need to remind us of such an obvious fact? 

Alan Kent, a recognized figure at Google, speaks up to assert that SEO remains relevant for organic search. This reminder might be surprising — of course, SEO still matters. But there's more to it: such statements often arise when questions emerge within the community.

With the advent of Search Generative Experience (SGE), instant answers and enriched formats taking up more space in the SERPs, some wonder if optimizing for traditional organic results still makes sense. Google's answer is clear: yes.

What does it mean to "make your product details attractive to your customers"? 

The phrasing is intentionally end-user focused, not algorithm-oriented. Google stresses that quality images and comprehensive descriptions are primarily meant to persuade the visitor, not to manipulate rankings.

This aligns with recent messages about the connection between user experience and SEO performance. If your product pages are poor, blurry, or generic, they'll struggle to convert — and Google now incorporates behavioral signals that capture this disappointment.

What is the real issue behind this statement? 

The e-commerce context is omnipresent. Google Shopping, enriched results with visuals, product snippets — all rely on well-structured data and rich content. Kent isn't talking about abstract technical SEO, he’s referring to digital merchandising.

And this is where many sites fail: poorly compressed images, copied supplier descriptions, lack of usage context. Google is increasingly valuing content that genuinely helps users make purchase decisions.

• Organic SEO remains a major channel, despite the rise of enriched formats and generative AI.
• Optimize for humans first: quality images, useful descriptions, clear usage context.
• Structured data (schema.org Product) allows Google to understand and utilize your content across all SERP formats.
• UX/SEO alignment is no longer optional — it’s the foundation of any effective strategy.

Is this declaration really new, or just a reminder? 

Let's be honest: it's a reminder. Nothing fundamentally new here. But timing matters. Google rarely communicates by chance, and such messages often arise when troubling trends emerge — in this case, the temptation for some players to neglect traditional SEO in favor of experiments with AI or 100% paid strategies.

What to take away: Google continues to value standard organic results, and the fundamentals of e-commerce SEO (images, descriptions, structure) remain critical levers. No revolution, just a useful confirmation.

What nuances should we add to this message? 

Saying that "SEO remains important" doesn’t say much about how Google assesses the quality of your product content. Kent doesn't provide any details on ranking criteria, expected quality thresholds, or the real impact of images on ranking. [To be verified] — we lack concrete data to quantify this importance.

Another point: this statement clearly targets e-commerce. For other sectors (media, B2B, SaaS), priority levers could be very different. Generalizing this advice across all contexts would be a mistake — it needs to be adapted to your model.

When does this rule not apply directly? 

If you're managing a media site, niche blog, or news portal, product images and descriptions are obviously not your priority. The focus should be on content freshness, editorial authority, depth of articles, and technical performance.

Similarly, for a complex B2B site with long sales cycles, optimizing landing pages, case studies, and decision-aid content will weigh far more than "attractive" visuals. Context is key.

What should you concretely do to optimize product images and descriptions? 

Start with a visual and textual audit of your main product listings. Identify which ones convert best and which disappoint. Are the descriptions complete, unique, and client-benefit oriented? Are the images high resolution, well-framed, and showing multiple angles?

Next, integrate structured data schema.org Product for each listing: name, description, price, availability, images, customer reviews. This allows Google to better understand and display your products in enriched results, Google Shopping, and potentially in AI-generated answers.

What mistakes should be absolutely avoided? 

First mistake: copy-pasting supplier descriptions. This is duplicate content that adds no differentiating value. Google favors unique content that helps the user understand the practical use of the product.

Second mistake: neglecting the technical optimization of images. Oversized files degrade Core Web Vitals, and images without properly filled alt attributes miss out on Google Images ranking — often underestimated even though it can generate significant qualified traffic.

How can I verify that my site meets Google's expectations? 

Use Google Search Console to identify poorly indexed product pages or those with coverage issues. Check that your structured data is correctly recognized via the "Improvements" report (products, reviews).

Test your pages with PageSpeed Insights and Lighthouse to measure the impact of images on performance. If your LCP and CLS scores are poor due to heavy or poorly sized images, that’s a red flag — and a priority area to address.

• Audit the 20-30 product listings generating the most traffic and identify gaps (images, descriptions, structure).
• Write unique, client-benefit oriented descriptions with at least 150-200 words of useful content.
• Optimize all images: WebP compression, appropriate dimensions, descriptive and relevant alt attributes.
• Implement schema.org Product with all relevant fields (price, reviews, availability, multiple images).
• Check the recognition of structured data in Google Search Console and correct any reported errors.
• Monitor organic traffic and conversion rate changes after optimization to measure the real impact.