Google Images & Discover Previews Don’t Support JPEG XL

JPEG XL images aren't currently supported in Google Images or as previews in Discover, Google Search Advocate John Mueller said on Bluesky. His post came as browsers added the format.

JPEG XL support arrived in Chrome 155, which Google began rolling out widely on Oct. 6 after early releases to a small percentage of users starting Sept.

What Mueller Said

"FWIW if you're hoping to get images shown in Google Images & as previews in Discover, etc, JPEG XL is currently not supported" Google Chrome developer advocate Barry Pollard responded with a message stating that it is good practice for. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate. A useful companion note is Google Expands Personalization Across Search, Discover & News, because it looks at a nearby part of the same system.

The useful check is whether this improves the system behind search performance, not only the words on the page. Internal links, crawlable content, clear entities, current evidence, and a sensible page structure all help the recommendation become easier to trust.

What Google's Documentation Lists

Google's image SEO best practices page carries the format list Mueller pointed to: "Google Search supports images referenced in the src attribute of img in the following file formats: BMP, GIF, JPEG, PNG, WebP, SVG, and AVIF." According to. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence. This connects with Fix Conflicting Metadata when the same signal needs a clearer operating decision. The same pattern also shows up in Google’s Indexing API Docs No Longer Explain, where the practical question is how the signal becomes visible.

The risk is usually hidden in the execution layer. A page can look fine to a human and still fail for an automated visitor if the form, call to action, rendering path, or confirmation step is not accessible enough for the agent to complete the task.

Where Browser Support Stands

JPEG XL is supported in Safari beginning with version 17 in 2023. The browser support tracker webstatus.dev indicates that JPEG XL has a "limited" availability status, with no Edge release noted. Chrome's team says JPEG XL provides "30 to 50%. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

Why This Matters

An image that is a.jxl will show up in both Chrome and Firefox; yet, according to Google, Images and Discover do not currently support.jxl. As long as you serve your JPEG XL image as a picture source (with your JPEG, WebP or AVIF as the. The practical question is what this changes in the system: the page structure, the evidence presented, the measurement habit, or the way the topic is connected to related work.

Looking Ahead

Watch the format list on Google's image SEO page and the Search Central blog, where Google announced AVIF support in 2024. Neither Mueller's post nor the image SEO page gives a timeline for JPEG XL. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

What Mueller Said in practice

Introduction JPEG XL images aren't currently supported in Google Images or as previews in Discover, Google Search Advocate John Mueller said on Bluesky. His post came as browsers added the format. JPEG XL support arrived in Chrome 155,. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

What the visibility signal actually changes

What the visibility signal actually changes: google Images & Discover Previews Don’t Support JPEG XL: the Practical Angle should be treated as a visibility signal, not a standalone headline. Introduction JPEG XL images aren't currently supported in Google Images or as previews in Discover, Google Search Advocate John Mueller said on Bluesky. His post came as browsers added the format. JPEG XL support arrived in Chrome 155, which Google began.

What the visibility signal actually changes: the practical question is whether the page, brand evidence, and surrounding content make the answer easier to trust. If that support is weak, search systems can still understand the topic but fail to connect it confidently to the brand.

What the visibility signal actually changes: that is why the response should begin with an audit of the evidence already on the site before creating a new asset. The fastest improvement is often a clearer page, a better internal link, or a stronger explanation of why the brand belongs in the answer.

Where the evidence needs to be tested

Where the evidence needs to be tested: a single study or ranking observation should not become a strategy by itself. It should become a diagnostic prompt: which source is being trusted, which query pattern is affected, and which part of the site would make that trust easier to earn?

Where the evidence needs to be tested: that keeps the response grounded. The goal is to improve the evidence chain around the topic rather than publish another summary that repeats what every other page already says.

Where the evidence needs to be tested: the important distinction is between a useful signal and a fashionable talking point. A useful signal changes the brief, the page structure, the linking plan, or the measurement view.

How to avoid overreacting to one data point

How to avoid overreacting to one data point: for content teams, the strongest move is to map the claim to existing assets before creating anything new. The right page may already exist, but it may need clearer headings, stronger internal links, fresher proof, or a better explanation of why the brand belongs in the answer.

How to avoid overreacting to one data point: this is also where title rewriting matters. A title should not copy the source headline; it should frame the practical implication so readers immediately know why the topic deserves attention.

How to avoid overreacting to one data point: the same standard should apply to every section. Each heading needs to earn its place by moving the reader through the evidence, not by repeating the outline in a more polished voice.

What this means for content and authority

What this means for content and authority: authority is becoming more contextual. It is not enough to be generally known in a category if the specific answer depends on a different source, a different index, or a different retrieval pattern.

What this means for content and authority: that means the content system should show consistent entities, related pages, credible references, and useful depth around the exact questions people and AI tools are asking.

What this means for content and authority: when the context is weak, AI systems can still mention the brand but describe it in the wrong frame. The fix is not more volume; it is cleaner evidence around the specific association.

Where internal links and entity clarity matter

Where internal links and entity clarity matter: internal links should do more than move crawlers around the site. They should explain relationships between topics, show which page owns which idea, and help both readers and search systems understand the next useful step.

Where internal links and entity clarity matter: the anchor text matters here. Vague links create weak context, while descriptive links can clarify the relationship between this post, related AI search analysis, and practical SEO execution.

Where internal links and entity clarity matter: this is especially important when the topic touches AI search because models and retrieval systems need clear relationships. A scattered cluster makes the site harder to interpret.