AI and Image Search: Optimising Visual Content for Discovery

Introduction

Artificial intelligence (AI) has changed how people discover products and services online. Visual search engines use AI to understand images and deliver relevant results. If your company wants more conversions from search, you need to treat images as assets rather than decorations. This article gives marketing leaders, founders and in‑house SEO teams a practical playbook for image SEO and visual search optimisation that they can run this week.

How Visual Search Finds and Ranks Images

Modern visual search combines computer vision and traditional web signals. Algorithms look at what the image shows, then examine the page around it. Relevance is key: ensure the image matches the topic of the page, and place it near related text or headings. Page context signals include captions, headings and surrounding copy. Freshness matters because up‑to‑date visuals tell AI that your content is current. Image quality affects how often your image appears; clear, high‑resolution pictures attract more clicks. Page experience factors such as mobile friendliness and loading speed also influence rankings. In short: provide clear images with clear context.

Get the Basics Right: Filenames, Alt Text, and Context

AI can’t understand an image without text clues. Your file names and alt text provide these clues. Use descriptive filenames that summarise the image subject; for example, blue‑widget-kitchen.jpg instead of IMG_1234.jpg. Write informative alt text—a short description stored in the alt attribute—that helps screen readers and search algorithms. Describe what’s visible and keep it natural. Place images near related headings and paragraphs, and add a short caption to give users more context. For a thorough checklist, review Google’s image SEO best practices.

For even more detail, follow Google’s image SEO best practices guidelines. These official recommendations cover file naming, alt text, captions and placement to ensure search engines understand your visuals.

Quality, Formats, and Speed

High‑quality images attract clicks, but huge files slow your page. Choose the right format: JPEG for photos, PNG for transparency, and WebP or AVIF for smaller sizes at similar quality. Ensure file extensions match the actual format to prevent indexing issues. Compress images so they load quickly; even small delays can cost conversions. Set dimensions explicitly in HTML to avoid layout shifts. Use responsive images with the srcset attribute so browsers download the best size for each device. Implement browser‑native lazy loading by adding loading=”lazy” to your images; this defers off‑screen images until they enter the viewport. Do not lazy‑load images above the fold—users expect them immediately.

For more technical detail on how to implement these techniques, read Google’s guidance on responsive images and their primer on browser‑native lazy loading. Both resources explain how the srcset attribute and the loading attribute work in modern browsers.

Page Experience and Accessibility

Great images mean nothing if your page frustrates visitors. Google rewards pages that load quickly, are mobile friendly and accessible. Use captions and surrounding text to tell users why the image matters. Check colour contrast so text overlays are legible, and avoid placing text within images that screen readers can’t access. Always include alt text, even if it’s empty for decorative images. Provide enough space around images so they don’t crowd the page, and avoid intrusive interstitials. Test your site with accessibility auditing tools, such as Chrome’s Lighthouse, to find and fix issues. These best practices help users with disabilities and support better page experience scores, which influence search rankings.

For automated auditing, run Chrome’s Lighthouse from your browser’s DevTools. This tool measures performance, accessibility, best practices and SEO, giving you clear scores and suggestions for improvement.

Helping Discovery at Scale

For large sites, manual tagging isn’t enough. An image sitemap helps Google discover images that might be hidden behind scripts. You can create a separate image sitemap or add image tags to your existing sitemap; each <url> entry can list up to 1,000 images. Make sure the <image:loc> points to the correct image URL, and verify both your main domain and any CDN domains in Google Search Console. Consistent naming patterns also help AI group similar products. Link from images to relevant pages and galleries using descriptive anchor text. To automate naming and alt text, consider templates that pull product names and categories into the filename. Combine these tactics with a mid‑funnel CTA to your SEO agency Sydney to guide readers to deeper content.

Need guidance on creating one? Follow Google’s image sitemap guide to ensure your sitemap highlights every important image and speeds up indexing.

Measuring What Works

You can’t improve what you don’t measure. Google Search Console provides an “Image performance” report showing impressions and clicks from Google Images. Compare rising impressions with conversions in your analytics. Track metrics like click‑through rate from image search, scroll depth and time on page. Adjust strategies based on performance: refine filenames and alt text, experiment with different image styles and compress more if bounce rates rise. Regularly audit your site’s speed and core web vitals; even small improvements can lift engagement. When you find patterns that work, document them so your team can repeat the success across your site.

FAQ

What is alt text?

Alt text (alternative text) is a concise description inserted in the alt attribute of an HTML <img> tag. Screen readers announce it to visually impaired users, and search engines use it to understand the content of the image.

What is an image sitemap?

An image sitemap is a specialised sitemap that lists image URLs and associated metadata, such as caption or title. It helps search engines discover and index images that may be loaded via JavaScript or not linked directly in HTML.

How do responsive images work?

Responsive images use the srcset and sizes attributes to deliver different image files based on the user’s screen width or device resolution. This ensures that mobile users load smaller files while larger screens receive higher‑resolution versions.

Conclusion / Next Steps

AI‑driven visual search isn’t a futuristic idea—it’s happening now. Brands that optimise images gain visibility and conversions, while those that ignore them fall behind. Start with descriptive filenames, clear alt text and relevant context. Then elevate your game with better formats, compression, responsive images and thoughtful lazy loading. Improve page experience and accessibility so every visitor enjoys your content. Use image sitemaps and internal linking to help search engines find your assets. Measure everything and iterate. Want an expert partner? Speak with our SEO agency Sydney, and explore our Case Studies to see how businesses drive ROI by mastering image SEO.

Ready to partner with experts? Contact our SEO agency Sydney and explore our Case Studies to see how businesses drive ROI by mastering image SEO.