Do Google Core Updates Really Impact Image Search and Local SEO?

Google core updates are major ranking algorithm updates that occur several times a year. Contrary to what some SEO practitioners believe, these updates don't only concern traditional search results (the famous "10 blue links").

Danny Sullivan clarified that these updates can affect Google Image Search and, more rarely, local search results. This clarification is important because it confirms that the "core" of the algorithm is truly cross-functional.

In reality, since these updates affect the fundamental mechanisms of quality evaluation, their scope is much broader. They also impact People Also Ask (PAA), featured snippets, Google Discover, and virtually all systems that depend on evaluating content relevance and authority.

• Core updates affect the entire Google ecosystem, not just traditional web results
• Image search can experience ranking fluctuations during these updates
• Local SEO is also affected, though less frequently
• Enhanced SERP features (snippets, PAA, Discover) are also impacted
• Only paid advertising (Google Ads) remains isolated from these algorithmic changes

This statement is perfectly consistent with the field observations we've been making for several years. During major core updates, we systematically observe position variations on Google Images for our clients, particularly in sectors like e-commerce, tourism, or real estate.

The important nuance to add concerns the intensity of impact across different verticals. While traditional web search can see visibility fluctuations of 30 to 50%, Google Images generally experiences more moderate variations (10 to 20%). For local SEO, the impact is even rarer and more targeted: it mainly affects sites that mix informational content with local presence.

The most strategic element of this statement is the confirmation that Google evaluates quality holistically. Content deemed low-quality for web search will be progressively demoted everywhere, including in verticals like Images or Discover.

• Analyze your post-update performance in a segmented way: use Google Search Console to isolate impacts on web search, images, Discover, and videos separately
• Optimize your images according to E-E-A-T criteria: detailed captions, rich editorial context, descriptive alt attributes, and compression without quality loss
• Don't neglect image SEO even if your site is content-oriented: 15 to 25% of organic traffic can come from Google Images depending on the sector
• For local SEO: strengthen NAP consistency (name, address, phone), customer reviews, and the linking between local and informational content
• Adopt a cross-functional quality approach: mediocre content will eventually penalize your site across all verticals, not just web search
• Monitor Google Discover if you're in news or evergreen content with strong viral potential: core updates often cause dramatic variations there
• Document your fluctuations: create a monthly dashboard cross-referencing web positions, image impressions, Discover clicks, and featured snippet appearances