Digital Root Tools Team
3 April 2026
Alt text has been a web standard since the early days of HTML. The principle is simple: every meaningful image on a webpage should have a text alternative that describes what the image shows, so that people who can't see the image — whether they're using a screen reader, have images disabled, or are a search engine crawler — can understand the content.
In 2026, alt text serves three converging purposes that make it more important than it has ever been: search engine optimisation for Google Image search, WCAG accessibility compliance, and AI image recognition and indexing. Each of these is a distinct reason to take alt text seriously. Together, they make it one of the highest-leverage technical improvements available to any content or e-commerce site.
Most sites are still doing it badly — or not at all. Here's what good looks like, what bad looks like, and how to fix it at scale.
Google Image search drives meaningful discovery traffic across a wide range of categories — fashion, interiors, food, beauty, travel, fitness, and anything that benefits from visual reference. Users who start a search in Google Images often end up on product pages, blog posts, or landing pages they would never have found through a text search. For e-commerce stores in particular, Google Image search is an acquisition channel that runs parallel to standard organic search.
Alt text is the primary signal Google uses to understand what an image depicts. Without it, Google falls back on the surrounding text and the image filename — weak signals that rarely capture the full picture. A well-written alt text places an image in direct competition for relevant image search queries. An empty or generic alt attribute removes it from contention entirely.
Modern AI systems — including the vision models used in Google Search, Bing, and third-party AI tools — use a combination of computer vision and available text signals to classify and index images. Alt text provides direct, human-written context that AI image recognition systems use to verify and supplement their visual classification. A product image with detailed alt text is more accurately categorised than the same image without it, which influences where and when that image appears in AI-driven search experiences.
As image-based search capabilities advance — visual search, multi-modal AI queries, image-referenced AI answers — the quality of alt text on images will continue to grow in importance. Sites that invest in this now are building an asset with increasing value.
The Web Content Accessibility Guidelines (WCAG) require meaningful alt text for all informative images — not as a suggestion, but as a conformance requirement. WCAG 2.1 Level AA, which is the legal compliance target for public sector sites in the UK and EU, explicitly covers this. For private sector e-commerce, the European Accessibility Act (EAA) — which came into force in June 2025 — has significantly expanded accessibility obligations for commercial websites trading in EU markets.
Beyond compliance, accessibility is straightforwardly the right thing to do. Approximately 2.2 billion people worldwide have some form of visual impairment. Screen readers depend on alt text to convey image content to these users. An image without an appropriate alt attribute is invisible to someone relying on assistive technology — which means a product without alt text on its images may be effectively invisible to a blind shopper.
Accessibility and SEO are not competing priorities. Both reward the same behaviour: clear, specific, accurate description of what an image shows. Optimising alt text for one is optimising it for the other.
Good alt text is specific, descriptive, accurate, and contextually relevant. It describes what is visually present in the image in a way that is useful to someone who cannot see it, while also using language that reflects how people search for that type of content.
Here are side-by-side comparisons of weak versus strong alt text for common image types:
Weak: alt="jacket"
Strong: alt="Women's navy waterproof shell jacket with hood, front zip pockets, and adjustable cuffs"
The strong version tells a screen reader user exactly what's being sold and gives Google Image search multiple indexable attributes — colour, product type, category, key features — all within a single, naturally written description.
Weak: alt="image1.jpg"
Strong: alt="Overhead flat-lay of a laptop, notebook, and coffee mug on a white desk — content planning for SEO"
This tells both the AI and the user what the image depicts and provides contextual relevance to the article topic. The filename alt text tells neither.
Weak: alt="chart"
Strong: alt="Bar chart showing organic search traffic growth from 2,400 to 18,700 monthly visits between January and December 2025"
For data-rich images, the alt text should convey the key data point or finding — not just describe the chart type. A screen reader user should get the substance of what the chart shows, not just be told that a chart exists.
alt="" is treated as decorative by screen readers and is effectively invisible to Google Image search. Unless the image is genuinely decorative (a spacer, a background pattern, a decorative divider with no informational value), it needs descriptive alt text.The volume challenge is real. An e-commerce store with 500 products and an average of four images per product has 2,000 images that need alt text. A news site or blog with five years of archives may have tens of thousands of images that were uploaded without proper alt attributes. Manual remediation at this scale is not a viable option.
There are three practical approaches to scaling alt text work:
Not all images are equal. Start with the images on your highest-traffic pages, your best-selling products, and any pages that are close to ranking for target keywords. Alt text on these pages will have the most immediate impact. Work outwards from there systematically, rather than trying to fix everything at once.
Set a standard for your team: every image that goes live must have a complete alt attribute written before upload. Build this into your content management workflow. For product images, define a template — product name, colour, material, specific shot type — and apply it consistently. This prevents the backlog from growing while you work through the existing debt.
Purpose-built AI tools for alt text generation can analyse images and produce descriptive alt text at scale — dramatically reducing the manual burden while maintaining the quality and specificity that SEO and accessibility require. Digital Root Tools's Alt Text Generator is built for exactly this workflow: upload images, receive accurate, SEO-appropriate alt text, and export for batch import into your CMS or Shopify store. For large catalogues, this collapses a months-long manual project into a matter of hours.
Generate Alt Text at Scale
Upload images, get accurate SEO-optimised alt text instantly. Built for teams with large catalogues who can't afford to write each one by hand.
Not every image needs a descriptive alt attribute. Images that serve a purely decorative function — background textures, divider icons, spacer graphics, purely aesthetic flourishes with no informational content — should use an empty alt attribute: alt="". This tells screen readers to skip the image entirely, which is the correct behaviour for content that adds no informational value.
The distinction matters: missing alt text (where the attribute is absent entirely) is an accessibility failure. Empty alt text on a genuinely decorative image is correct practice. The goal is intentionality — every image should have its alt attribute status set deliberately, not left as a default omission.
As AI search systems develop multi-modal capabilities — the ability to process queries that combine text and image inputs — the quality of image metadata, including alt text, becomes a more direct ranking and citation signal. Google's AI search already uses image understanding as part of its content analysis. Products with rich, accurate image metadata are more completely understood by these systems than products whose images are effectively opaque.
This is an emerging area, and the full extent of how AI search handles image content is still developing. But the direction is clear: rich, accurate, well-structured image metadata will be increasingly valuable. Investing in alt text quality now is investing in an asset that compounds in value as AI search matures.
The practical upshot is straightforward: write alt text that accurately describes what each image shows, at the level of detail a useful description requires. That standard serves SEO, accessibility, and AI indexing simultaneously. There is no separate alt text strategy for each of these disciplines — there is one standard of quality that satisfies all three.