Your website may have hundreds of photographs, icons, and charts. Some tell customers exactly what they need to know; others just make a page feel welcoming. If an AI tool writes a description for every image, it may create as many problems as it solves. A decorative flourish could become noisy narration, while a chart that contains important numbers might receive the unhelpful label “graph.”
A better image audit starts with purpose. What does this particular image contribute on this particular page? Which information or action would a visitor miss if they could not see it? This guide shows a small business how to use AI to prepare candidate descriptions, then use people and simple checks to decide what actually belongs on the site. Accessibility comes first; search visibility is a potential secondary benefit, never a promised ranking result.
1. Decide What the Audit Will Cover
Start with one manageable set of pages: your main service pages, a product category, or the pages behind your most important booking flow. Include the live page URL, not only the media-library entry. The same photograph can be informative in one article and decorative beside a paragraph that already says everything it conveys.
Assign an owner who understands the product or service and a reviewer who can inspect the rendered site. If your site uses a template, identify recurring elements such as a linked logo or a carousel control. Correcting one shared template can improve many pages, but test it on different page types before calling the job finished.
Make an inventory with page URL, image location, current alternative text, surrounding heading and caption, whether the image is clickable, its purpose, proposed change, reviewer, and status. Avoid starting with an indiscriminate bulk edit of every media-library alt field. The real experience is what appears on the page, including theme-generated and externally loaded images.
2. Understand What Alternative Text Is For
Alternative text, often called alt text, provides an alternative for information or functionality conveyed by an image. The W3C Web Accessibility Initiative images tutorial separates informative, decorative, functional, and complex images because they need different treatment. Its guidance depends on an image’s purpose in context, not on a universal list of visual objects.
Google’s image SEO guidance says it uses alt text alongside page content and computer vision to understand an image. It recommends useful, contextual text and warns against keyword stuffing. That is not a reason to turn every description into a list of search terms. Text that helps a person understand the page is a much better starting point than text written solely for a crawler.
There is an important distinction between a missing alt attribute and an intentionally empty one. For a purely decorative HTML image, W3C recommends alt="" so assistive technology can ignore it. W3C notes that omitting the attribute can cause some screen readers to announce a filename instead. A spreadsheet that flags all empty values as defects will therefore generate false positives.
3. Classify Each Image Before Generating Words
Give each inventory row a purpose category. An informative image adds a fact or visual distinction needed to understand the page. A decorative image adds atmosphere without essential information. A functional image is a link or control. A complex image, such as a data chart, needs more explanation than a short label can carry. Use the W3C alt decision tree as a review aid, not as a replacement for knowing the page.
Consider a fictional bicycle repair shop. A photograph showing where to find the serial number on a frame is informative in an identification guide. The same picture might be decorative on a general “welcome” page if no instruction depends on it. A magnifying-glass icon used as the only content of a search button is functional; its accessible name should identify “Search,” not describe a magnifying glass.
Do not mark images decorative merely because writing a description is difficult. Ask what a visitor would miss. If a product photo shows a feature not covered anywhere else, either describe that feature accurately or add the information to visible page text as well. The purpose of the inventory is to surface these editorial decisions, not to make a dashboard look complete.
4. Prioritize Risk, Not Image Count
Review functional controls and key purchase or booking information first. An unlabeled icon that submits a form or a product image that distinguishes two models can interfere with a visitor’s task. Next, check instructional graphics, diagrams, and charts. Decorative separators and redundant stock photos can wait until the critical paths work.
For each priority page, record what is visible in a normal browser, what is available in the rendered HTML, and what a visitor hears when navigating with assistive technology. A CMS field filled in correctly does not prove that a template outputs it. Likewise, an image with a plausible filename may have a broken source or be hidden behind a component that never renders as intended.
A simple triage label—critical interaction, essential information, ordinary content, decorative—helps reviewers work consistently. Keep a separate “unknown” status for images whose purpose requires input from a designer, product expert, or client. Do not let the model confidently choose for them.
5. Use AI for Drafting, Not for Certifying Accuracy
An image-capable AI assistant can suggest candidate wording when it can see the image and has the page context. It can also group likely duplicates and flag suspicious alt text such as a string of repeated keywords. But a model may misread small text, infer a product material from appearance, confuse similar parts, or describe a person’s identity or intent without evidence.
Provide a sanitized image plus the page heading, the surrounding paragraph, the image’s function, and any verified product facts. Ask for a proposed category and candidate text with uncertainties called out separately. A useful instruction is:
For each image, propose informative, decorative, functional, complex, or needs-review. Use only visible details and the supplied verified facts. If the image conveys nothing beyond nearby text, explain why an empty alt value may fit. For a linked image, describe the destination or action. For a chart, identify the need for a longer visible explanation. Do not invent a brand, model, location, material, identity, measurement, or customer outcome. Return proposals only; do not edit the website.
Keep the original value next to the proposal so a reviewer can compare them. If a service photo includes a customer, ensure you have the rights and internal approval to share it with an external AI provider. For sensitive images, work locally or skip AI and write the description manually.
6. Write Informative Descriptions in Page Context
Describe the information a visitor needs, not every visible pixel. On a repair guide, “Serial number stamped under the bicycle’s bottom bracket” may be useful if that is actually what the photograph shows. “Bicycle shop repair service best prices near me” tells the visitor almost nothing. Verify the pictured location with the mechanic before using the first description.
If the adjacent sentence already gives an adequate description of the same visual information, repeating it word for word can create clutter. If the photo contains additional information, add that distinction instead. This is an editorial judgment, not a character-count contest. The W3C decorative-image examples show that an image adequately described by adjacent text may take an empty alt value.
Write in the language of the page. Avoid unverified claims such as “award-winning,” “handmade,” or “before and after” when the source material does not establish them. If the photo cannot distinguish a finish from a similar-looking one, do not ask AI to guess. A product expert should supply the fact or the description should stick to what can be confirmed.
7. Handle Decorative and Functional Images Differently
For a purely decorative HTML image, use an empty alt value rather than a fictional description. W3C explains that this helps avoid unnecessary screen-reader output. But do not assume that every image near a heading is decorative: a photo demonstrating a repair step or a visual warning icon may add information that the text lacks.
For an image that is the only content of a link or button, describe the destination or action. The W3C functional-image guidance gives examples such as “Print this page” for a print icon. If the link already includes clear visible words, its image may be redundant; W3C shows an empty alt value for a logo sitting beside text that already identifies the same destination.
Review the whole control, not just the image attribute. If an icon button has an accessible name supplied by another valid mechanism, avoid a second conflicting name. If several identical icons lead to different places, names must make those destinations understandable. Test by keyboard and screen reader instead of assuming the code alone communicates the intended action.
8. Give Charts and Diagrams a Real Text Equivalent
A short label can identify a chart, but it rarely conveys the values, relationships, and conclusion a reader needs. The W3C complex-images tutorial recommends a short alternative together with a longer description of the essential information. That longer explanation can appear as visible text near the image or at a clearly labeled linked destination.
Suppose a small retailer publishes a chart of monthly returns. “Returns chart” does not tell a visitor which month had the most returns or what the values were. Put the verified numbers and relevant trend in nearby text or a table, then use a brief alt description that identifies the chart and points to the explanation where appropriate. Never have AI reconstruct exact numbers by estimating the height of bars.
A visible text equivalent benefits more than screen-reader users: anyone looking at a tiny phone display may prefer it. It also gives your reviewer a way to compare the graphic against its source data. When the source data is missing, flag the chart for an owner rather than publishing a plausible-sounding summary.
9. Keep Search Optimization in Its Proper Place
Google says image subject matter is informed by page content, including captions, and recommends placing images near relevant text. It describes filenames as a light clue and alt text as important image metadata. Descriptive filenames can help when you are creating new assets; renaming every existing file without checking references can break links and is not an alt-text audit.
Before expecting images to appear in Search, also consider technical discoverability. Google’s guidance recommends standard HTML image elements and a fallback src for responsive images; it says Google does not index CSS images. These are separate implementation questions. An excellent description cannot compensate for an image that the page never exposes as expected.
Do not promise that adding alt text will improve rankings or traffic. Record the page and the approved change, then review Search Console data only after allowing for normal reporting and search variation. Changes in clicks can reflect seasonality, other page edits, or different queries. Accessibility quality is an outcome worth measuring even if search traffic does not change.
10. Test the Published Experience
Take a small sample from each image category and inspect the live rendered page after changes. Navigate the page with a keyboard; listen with an available screen reader; check that controls announce understandable actions and that decorative images do not interrupt the reading flow. Confirm that the image and its surrounding words make sense together on both desktop and mobile.
Run automated checks to catch missing alt attributes or empty accessible names, but treat their output as leads for investigation. An empty alt value may be correct for decoration and wrong for a standalone clickable image. A generic “image” description may pass a presence check while conveying no useful information. Automated passing is not a substitute for human review.
Use a rollback-friendly workflow: save the original value, page URL, reviewer decision, and publication date. If a template change alters unrelated pages, restore the previous template version or revert the individual field and investigate. Do not apply a site-wide setting until representative pages behave correctly.
11. Measure the Audit Without Inventing ROI
Useful operational measures include priority pages reviewed, functional images with verified accessible names, informative images approved by a subject expert, complex graphics with an available text equivalent, and unresolved items awaiting confirmation. Track the proportion of sampled pages that pass a manual reading check, and document your sample.
Those numbers describe process quality, not revenue generated by alt text. Avoid claims such as “AI improved conversions” unless you have an appropriate measurement design and actual data. Even a before-and-after traffic comparison alone cannot isolate the effect of this one change. A modest, auditable result is better than an invented success story.
Build the check into publishing: every new image gets a purpose decision, a human-reviewed text alternative when needed, and a check on the actual page. AI can shorten the drafting queue, but someone accountable for the page must approve the meaning. That is how an image library becomes more usable without turning accessibility into keyword spam.
Need help organizing a practical image-content audit or building a human-reviewed website workflow? Visit NexBit Digital on Fiverr to discuss your site, current publishing process, and a realistic project scope.