In 2026, image visibility is no longer a “nice to have” add-on to web SEO. Google Images can send steady, intent-driven visits for product, editorial, travel, and how-to queries, while Discover can deliver sudden spikes when your visuals and story packaging match what people want to read right now. The good news is that most image growth still comes from fundamentals you can control: the way images are embedded, the context you provide on the page, and the technical signals that help Google fetch, interpret, and display images confidently.
Google doesn’t evaluate an image in isolation. It learns what an image is “about” from surrounding page signals: the visible text near the image, headings, captions, and the general topic of the page. Alt text remains one of the clearest explicit clues you can provide, but it works best when the whole page supports the same meaning, rather than trying to force relevance with a single attribute.
Placement and implementation matter as much as description. When images are embedded with standard HTML image elements, they are easier for Google to discover, render, and associate with the correct landing page. Images that are only used as CSS backgrounds or loaded in ways that hide them from typical crawling workflows often miss out on full visibility in image-related surfaces, even if they look perfect to a human visitor.
Format and delivery have become more strategic because image-rich pages compete on speed and user experience. Next-gen formats such as AVIF and WebP can reduce file size significantly at similar quality, which helps with load metrics and makes it easier to ship larger, more detailed visuals without slowing the page down. The goal is not “maximum compression at any cost”, but a repeatable workflow where quality, sharpness, and page performance are balanced for real users.
For Google Images, relevance is usually query-based: a person searches for a thing, a style, a diagram, a product, or an example. Your image wins when it clearly matches that intent and the landing page provides the information people expect after the click. That means the image should not be generic decoration; it should be genuinely useful for understanding the topic, seeing a product clearly, or comparing options.
For Discover, relevance is audience-based rather than keyword-based. The same article can perform very differently depending on whether the main image communicates the story in a single glance and whether the page is eligible to show large previews. Discover is also sensitive to perceived quality: sharp, well-composed images that accurately represent the content usually outperform stock-like visuals that feel disconnected from the headline.
In practice, you should treat your “hero” image as an editorial decision. Choose one primary image that explains the story, not your branding. If you can only do one thing for Discover packaging, make that image large, clean, and clearly related to the main angle of the page, so it works well as a preview on a mobile feed.
Start with discoverability: Google must be able to find and fetch the image file. Use stable, crawlable URLs, avoid blocking image directories in robots rules, and make sure the server returns correct status codes for the image files. If you use a CDN, keep an eye on hotlink protection rules that accidentally block Googlebot from retrieving image assets.
Then focus on clarity and consistency. Use descriptive filenames (not “IMG_0042.jpg”), and write alt text that describes what is actually in the image in the context of the page. If the image is a product, include the product type and a differentiator; if it is a chart, say what the chart shows. Captions can help when they add real context, especially for editorial pages where readers skim and need quick orientation.
Finally, give Google a strong map. Image sitemaps are a practical lever for large sites, media libraries, ecommerce catalogues, and any site where images are loaded dynamically. A properly maintained image sitemap helps Google discover images that might otherwise be missed and makes it easier to connect image assets with the right pages as your site grows.
Responsive images are a must in 2026, but they can also introduce confusion if implemented carelessly. Use srcset and sizes so browsers choose the right file for each viewport, while keeping the canonical image URL consistent and crawlable. When you generate multiple sizes, ensure the largest version is accessible and not locked behind scripts or user interactions.
Optimise for “speed without blur”. Many sites over-compress and lose the detail that makes an image attractive in image search previews. Build a simple QA habit: check the image at typical preview sizes and at full width, and ensure text in screenshots is legible, edges are not smeared, and product photos do not have distracting artefacts. Good compression is invisible; bad compression is obvious.
If you publish original photography or illustrations, consider adding licence metadata where it makes sense. Google supports licence and acquisition information for images when provided via structured metadata or recognised IPTC fields. This can help users understand usage rights and can make your images appear more trustworthy in contexts where attribution and licensing are important.

Discover is not a keyword listing, so you don’t “rank” there in the traditional sense. You earn eligibility and performance by publishing content that people want to read and packaging it with strong visuals. A core technical requirement is enabling large previews; in practice that means allowing Google to show large image previews and providing images that are at least 1200 pixels wide for the best chance of strong presentation.
From an editorial perspective, Discover rewards clarity. Your main image should match the headline and the actual content, not act as a generic banner. Avoid using a site logo as the preview image. If the story is about a new feature, show the feature; if it’s a guide, show the process or the outcome; if it’s a comparison, show the compared items in a straightforward way.
Consistency over time matters. Discover traffic can spike and vanish, so you need a workflow to learn from what works. Track which templates, image styles, and topics correlate with sustained Discover visibility, and create internal rules for image selection (framing, contrast, subject distance, and whether text overlays are allowed) so results are repeatable rather than accidental.
Use Google Search Console to separate “feelings” from facts. Look at performance for images where available, and check whether pages that should generate image traffic are being indexed properly. When image clicks drop, compare affected templates: did you change lazy-loading behaviour, move images into CSS, swap CDNs, or alter URL patterns? Small implementation changes often explain large swings.
For Discover, look for patterns rather than single “viral” posts. When a page performs well, audit it like a product: image width, file size, on-page placement, headline-to-image match, and whether large previews are enabled. Then apply that learning to your next set of content, rather than trying to replicate the exact topic.
When troubleshooting eligibility, start with the basics: ensure Google can fetch the image, confirm that large previews are permitted, and verify that your primary image is genuinely high quality and large enough. If everything technical checks out, shift your attention to content packaging: is the story clear, is the image representative, and does the page deliver on what the preview implies?