Can Google and AI Read Text in Images? How to Optimize WordPress Infographics for SEO and AI Visibility

TL;DR Google does not promise to "read" the text inside your infographic. It combines alt text, computer vision and the content of the page around the image. AI models like ChatGPT, Gemini and Claude can read text in an image, but only when that image is actually handed to them. AI crawlers mostly collect HTML, not image files. So the text in your infographic has to exist as HTML text too: alt text, caption, a short transcript and schema. In WordPress you control this through the filename, alt text, caption, ImageObject schema, an image sitemap, modern formats and smart lazy loading. Once you publish, the real question is whether AI cites the page that hosts the infographic. That is what Semly measures.

So, can Google read the text inside your infographic? The honest answer is: it depends who you ask. Google Search and AI models are two different machines, and they handle images in two different ways. The good news is that you can set up both in WordPress without touching code, and this guide walks you through it step by step.

How to optimize WordPress infographics for SEO and AI visibility: the short answer

Here is the quick version before we get into the details.

Google uses your alt text together with computer vision algorithms and the contents of the page to understand what an image is about. There is no official promise that Googlebot runs full OCR on the text inside your graphic and ranks you for it. So do not build your whole strategy on that idea.

AI models are a different story. ChatGPT, Gemini and Claude can genuinely read visible text in an image, but only when the image is passed to them as a file or a URL. The crawlers that feed AI answers (GPTBot, ClaudeBot, PerplexityBot and similar) mostly pull HTML text, not image pixels.

Three things follow from this:

• The text in your infographic must also exist as real HTML text somewhere on the page.
• Your alt text, caption and surrounding copy are the machine-readable layer you actually control.
• Schema and a clean image setup help machines understand what the graphic is and where it belongs.

The rest of this guide is a practical path: prepare the file, fill in the WordPress fields, add a text version, add schema, keep the image fast and crawlable, then measure whether AI cites the page.

What Google actually does with images (and what it doesn't)

Google's own image SEO guidance is clear about the signals it uses. Alt text is described as the most important attribute. Captions and image titles are also read as part of the page content. The filename gives Google a "very light clue" about the subject, which is why wordpress-image-seo-checklist.png beats IMG_0231.png.

A few practical details worth knowing:

• Google does not index images that live only in CSS backgrounds. If your infographic is a background-image on a div, it is invisible to Google Images.
• Supported formats include BMP, GIF, JPEG, PNG, WebP, SVG and AVIF. The file extension should match the actual file type.
• Keyword-stuffed alt text can be treated as spam. Describe the image, do not stuff it.

Myth vs. fact

What AI models can and can't read in your infographic

This is where most articles get fuzzy, so let's separate two things: what a model can do, and what a crawler actually collects.

A vision-capable model can read text in an image when the image is handed to it. That is how you can upload a screenshot to ChatGPT and ask it to transcribe the text. The same applies to Gemini and Claude. Quality drops when the layout is dense, the fonts are small or the file is heavily compressed. Claude's documentation notes that heavy JPEG compression can make text difficult to read, and Gemini notes that higher resolution improves reading fine text.

But the crawlers that feed AI answers are a different mechanism. GPTBot, ClaudeBot and PerplexityBot are documented as collecting text for training, indexing and live answers. They fetch HTML pages. They do not run around your site OCR-ing every graphic they find.

When AI will read your infographic text:

• When a person uploads the image to a chat and asks about it.
• When a tool passes the image URL to a vision model.
• When the text also exists as HTML on the page, so a crawler picks it up without any vision step.

When it won't:

• When the crawler only reads the HTML and the text lives purely in pixels.
• When the image is too compressed or too small to read reliably.
• When the model never receives the image at all.

One more thing: image metadata is usually not read. OpenAI states its models do not process original filenames or metadata, and Claude does not parse image metadata either. So do not hide important information in EXIF fields.

Step 1: Prepare your infographic before you upload it

A little prep saves a lot of cleanup later.

Checklist before upload:

• Give the file a descriptive name, in lowercase, with hyphens. Example: wordpress-image-seo-checklist.png.
• Make sure the text inside the graphic is actually readable. Good contrast, a font size that survives shrinking, and no text crammed into corners.
• Write your alt text in advance. One clear sentence about what the infographic shows.
• Write a caption in advance. This is a real signal, so treat it as part of the content.
• Draft a short transcript: the key points from the graphic as plain text.
• Pick a modern format. WebP or AVIF keeps the file small while keeping text sharp.

Step 2: Upload and fill in alt text, title and caption in WordPress

WordPress has a habit of copying the filename into the alt field when you leave it empty. That is a default, not a strategy. Fix it by hand in the Media Library.

If you use Yoast or Rank Math, their image SEO checks can nudge you in the right direction, but they will not write good alt text for you. Rank Math's automatic alt text is applied at runtime and only for images inside post or page content, not for headers, sidebars or footers. Treat those tools as a safety net, not a replacement for a human pass.

Step 3: Add a visible text version of the infographic

This is the single most useful step for both accessibility and AI visibility. If the text exists as HTML, machines do not have to read pixels at all.

Under the infographic, add a short summary and a list of the key points. If the graphic contains data, add a small table with the same numbers. This is also what WCAG asks for: an image of text needs a text alternative, and complex images like charts and infographics need both a short description and a longer one.

A simple structure that works:

• One sentence saying what the infographic is about.
• A bullet list of the main points.
• A table with the underlying data, if there is any.

Do not worry about "duplicating" the image content. The text version is not a duplicate, it is the accessible and machine-readable version of the same idea. Keep it tight and useful.

Step 4: Add ImageObject schema and tell Google which image represents the page

Schema is how you spell out, in a language machines like, what your infographic is. JSON-LD is the format Google recommends, and you can paste it into your page without touching your theme.

A short example you can adapt:

{
  "@context": "https://schema.org",
  "@type": "ImageObject",
  "contentUrl": "https://example.com/wp-content/uploads/wordpress-image-seo-checklist.png",
  "caption": "Checklist for optimizing WordPress infographics for SEO and AI visibility",
  "width": 1200,
  "height": 2400
}

Then tell Google which image represents the page. You can do that with primaryImageOfPage in your schema or with the og:image meta tag. One practical tip: if you have a cleaner hero image, use that as the page's representative image rather than the infographic. Google's guidance leans toward avoiding text-heavy images as the preferred image for a page.

Is schema strictly necessary? No. Does it help machines understand your content with less guessing? Yes, and it is cheap to add.

Step 5: Make sure the image is fast, crawlable and discoverable

A beautiful infographic that never gets found does nothing for you. These are the technical basics.

Technical checklist:

• Do not lazy-load the image if it is your LCP element. Use fetchpriority="high" instead.
• Always set width and height so the layout does not jump while loading.
• Serve WebP or AVIF with a fallback for older browsers.
• Keep the file small. Large PNGs can also hit crawler file size limits.
• Add the image to your image sitemap, especially if it is loaded by JavaScript.
• Check that AI crawlers are not blocked in your robots.txt.

Things to watch out for:

• If your infographic is a CSS background, Google will not index it. Swap it for a real image element.
• If your CDN serves the images, you can still list them in an image sitemap, but you should verify the CDN domain.
• If a plugin blocks bots by default, your images may never be seen. Check your settings before you assume everything is fine.

Step 6: Check whether AI actually cites the page with your infographic

Optimization is only half the job. The other half is finding out whether it worked.

A three-part test you can run today:

1. Upload your infographic to ChatGPT, Gemini and Claude and ask each one to transcribe the text. If the models struggle, your readers probably will too.
2. Ask the same models a question your infographic answers, and see whether they mention your page or link to it.
3. Compare mentions with citations. A model can mention your brand without ever linking to your page, and those are two different outcomes.

That last point matters more than it sounds. AI often cites third-party pages instead of the original source, so your infographic can be understood while your page stays uncited. Tracking that gap over time is exactly what Semly is built for. Semly monitors prompts, sources and citations across ChatGPT, Gemini, Claude and other models, so you can see whether the page hosting your infographic is being referenced or quietly ignored. The WordPress integration connects through an application password, so there is no plugin to install.

Most common mistakes and how to fix them

• Filename is IMG_0231.png. Symptom: no context for the image. Fix: rename it descriptively before upload.
• Alt text is empty or stuffed with keywords. Symptom: weak or spammy signal. Fix: write one clear sentence describing the graphic.
• No caption. Symptom: you lose a real on-page signal. Fix: add a short line under the image.
• All the text lives inside the image. Symptom: machines cannot read it. Fix: add a visible text version and a data table.
• The infographic is a CSS background. Symptom: Google does not index it. Fix: use a real image element.
• The LCP image is lazy-loaded. Symptom: slower loading and a Core Web Vitals warning. Fix: remove lazy loading and add fetchpriority="high".
• AI bots are blocked. Symptom: your content never reaches AI answers. Fix: check robots.txt and your security plugin settings.

What's next

Once your first infographic is done, repeat the same cycle for the others. Then widen the scope: apply the same alt text, caption, transcript and schema pattern across your whole site, not just one post.

After that, set up regular measurement. A one-off check tells you almost nothing, because AI answers shift over time. Watching the trend is what shows whether your work is paying off. If you want a structured way to do that, here is how to measure brand visibility in AI.

And if an infographic is purely decorative, do not over-engineer it. A light description is enough. Save the full treatment for graphics that carry real information.

Want to see where you stand right now? Grab a free AI visibility report from Semly and find out whether AI models are citing the pages where your infographics live.