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Official statement

Images can assist users in choosing between different results. Google algorithmically extracts relevant images to display next to search results, thereby improving user experience.
3:14
🎥 Source video

Extracted from a Google Search Central video

⏱ 7:58 💬 EN 📅 31/03/2020 ✂ 5 statements
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Other statements from this video 4
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  2. 5:17 Comment Google génère-t-il les sitelinks et pourquoi votre structure de site bloque-t-elle leur apparition ?
  3. 6:25 Le markup structurel pour forums booste-t-il vraiment l'engagement utilisateur ?
  4. 7:46 Les formats de prévisualisation enrichis sont-ils vraiment neutres pour le ranking ?
📅
Official statement from (6 years ago)
TL;DR

Google algorithmically extracts relevant images from a page to display next to search results, aiming to enhance user experience and assist in choosing between different results. For SEO, this means that optimizing images can directly influence the click-through rate from the SERPs, even for non-imageable queries. Specifically: alt tags, semantic context around the image, and optimized format/weight become differentiating factors against the competition.

What you need to understand

What does Google mean by "algorithmic extraction" of images?

Google does not simply take the main image from a page at random. The algorithm analyzes the full content of the page to identify which image is most relevant to the user's query.

This selection is based on several signals: the alt text of the image, the immediate textual context (title, caption, surrounding paragraphs), the HTML structure (tag og:image, schema ImageObject), and the position of the image in the DOM. Google favors images that have a strong semantic link with the main content of the page.

Why display images even for non-imageable queries?

Traditionally, it was thought that images in the SERPs mainly pertained to transactional or inspirational queries (fashion, decor, recipes). However, Google has extended this principle to almost all types of results.

The stated goal is to enhance the user experience by allowing a faster visual scan of the results. A relevant image can trigger a click where a simple title/meta might go unnoticed. This is particularly true on mobile, where vertical space is limited and the eye is more easily attracted to an image.

Which pages are concerned by this image display?

All indexable pages can potentially have one of their images displayed in regular SERPs. This goes beyond rich results like recipes or products.

This phenomenon is observed on blog articles, e-commerce category pages, technical sheets, and even institutional corporate pages. The logic is simple: as soon as a page contains one or more usable images, Google can decide to display it if the algorithm believes it enhances user understanding of the result.

  • Algorithmic extraction: Google chooses the most relevant image based on semantic context and HTML structure
  • UX and CTR impact: a well-chosen image can significantly increase the click-through rate from the SERPs
  • Universality: all pages with images are potentially affected, not just those inherently visual
  • Technical signals: alt tags, schema ImageObject, og:image, and textual context are the main levers
  • Mobile-first: image display plays an even more crucial role on mobile where space is constrained

SEO Expert opinion

Is this statement consistent with on-the-ground observations?

Yes, but with significant gray areas. On paper, the display of images in the SERPs follows a logical algorithmic approach. However, in practice, inconsistencies are observed: irrelevant images being displayed, well-optimized pages never benefiting, and variations between desktop/mobile that are hard to explain.

Google remains vague about the exact selection criteria. Talking about "relevant algorithmic extraction" without detailing the weights is a bit like saying "we're doing good SEO." [To be verified]: The actual impact of the image's position in the DOM relative to the weight of the textual context remains unclear. A/B tests on this point yield contradictory results across niches.

What nuances should be added to this claim?

Google never guarantees the display of an image, even if perfectly optimized. The algorithm may decide not to display anything if no image seems sufficiently relevant or qualitative. It's also observed that certain sectors (finance, legal, health YMYL) see far fewer images in the SERPs, likely due to editorial caution.

Another point: Google talks about "improving user experience," but it's also a lever to capture attention and reduce bounce rates to other engines or sources. User experience is rarely altruistic. Finally, this statement completely overlooks the issue of copyright and conflicts with image publishers—a hot topic in Europe and the United States.

In what cases does this logic not apply?

Some queries never trigger images in the SERPs, regardless of optimizations: purely informational technical queries, navigational queries to well-known brands, local queries with a dominant local pack. The format of the SERP itself dictates whether an image can be displayed.

Moreover, if a page competes with rich snippets (FAQ, How-to, etc.), the available space for an image drastically reduces. Google will often favor the rich snippet over the image. Finally, in ultra-competitive queries with many ads, the organic image may be pushed out of the initial viewport, negating its CTR benefit.

Warning: Google can change the display of images in the SERPs overnight through geolocated A/B tests. Never rely on a long-term stability of these visual elements for your SEO strategy.

Practical impact and recommendations

What should be optimized concretely to maximize image display?

First priority: descriptive and keyword-rich alt text without keyword stuffing. Google heavily relies on this tag to understand the content of the image. A vague alt text like "image1.jpg" or "photo" will never be retained.

Next, the immediate textual context matters greatly. Positioning the image closest to the most relevant H2 or H3, adding an explicit caption (figcaption tag if possible), and ensuring that the surrounding paragraph reflects the semantic field of the target query. Google cross-references these signals to evaluate relevance.

What formats and technical specifications should be favored?

The WebP or AVIF formats are now recommended for their quality/weight ratio. Google indexes these modern formats without issue and may even prefer them for their performance. As a fallback, an optimized JPEG (compression 80-85%) remains acceptable.

Regarding dimensions, aim for a 16:9 or 4:3 aspect ratio with a minimum width of 1200px for main images. Google may automatically crop, but an image too small or with an exotic ratio risks being ignored. The weight should ideally remain below 200 KB—a compromise between visual quality and loading time.

How to structure data to signal key images?

Using schema ImageObject in the JSON-LD of the page explicitly indicates which image is most representative. This doesn't guarantee anything, but it's a strong signal for the algorithm. Include contentUrl, caption, and, if applicable, creator with credits.

The tag og:image is also taken into account, especially for social sharing, but Google can use it as a prioritization signal. Avoid multiplying og:image—one, the most relevant, is sufficient. Lastly, remember to provide EXIF data if the photo is original: this can affect the freshness and perceived originality of the content.

  • Write descriptive alt texts integrating the semantic field of the target query
  • Place strategic images as close as possible to relevant H2/H3 titles
  • Favor WebP or AVIF, aspect ratio 16:9/4:3, width ≥ 1200px, weight < 200 KB
  • Implement schema ImageObject in JSON-LD for main images
  • Specify og:image (one only) and figcaption when the CMS allows it
  • Test SERP display via preview tools (e.g. Google Search Console, browser extensions)
Optimizing images for the SERPs goes beyond just a well-filled alt tag. It’s a holistic task that intersects technical SEO (formats, weight, structured data), editorial SEO (textual context, captions), and UX (aspect ratio, visual quality). The CTR gains can be substantial, especially on mobile. To be honest: orchestrating all this on a site with thousands of pages demands expertise and tooling. If you feel the complexity exceeds your internal resources, hiring a specialized SEO agency can significantly accelerate compliance and help avoid costly mistakes in crawl budget or loading time.

❓ Frequently Asked Questions

Google affiche-t-il toujours une image pour chaque résultat de recherche ?
Non. L'affichage d'images est conditionnel et dépend de la requête, du type de SERP, et de la pertinence algorithmique des images disponibles. Certaines requêtes ne déclenchent jamais d'images.
Peut-on forcer Google à afficher une image spécifique de notre page ?
Non, on ne peut que signaler des préférences via schema ImageObject et og:image. Google garde le contrôle final et peut choisir une autre image ou n'en afficher aucune.
Les images affichées en SERP proviennent-elles toujours de la page de destination ?
Oui, dans la très grande majorité des cas. Google extrait l'image depuis la page qu'il affiche dans les résultats. Il n'ira pas chercher une image sur une autre page du même site.
Une image mal optimisée peut-elle pénaliser le classement de ma page ?
Indirectement oui : si l'image ralentit le chargement (Core Web Vitals), cela peut impacter le ranking. Mais l'absence d'image ou un mauvais alt ne pénalise pas directement la position — c'est surtout une occasion manquée de CTR.
Faut-il optimiser toutes les images d'une page ou seulement l'image principale ?
Prioriser l'image principale (hero image, visuel d'en-tête) pour l'affichage SERP. Mais toutes les images doivent être optimisées pour le poids et l'accessibilité. Google peut théoriquement choisir n'importe laquelle si elle est jugée plus pertinente.
🏷 Related Topics
Algorithms Domain Age & History Featured Snippets & SERP AI & SEO Images & Videos Local Search

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