Multimedia content and AI: images, video and audio

The rise of multimodal AI

AI models have evolved at breakneck speed from purely text-based systems to multimodal systems that can process text, images, video and audio. GPT-4o, Gemini and Claude can all analyze images. Google Gemini can interpret videos. Whisper and similar models transcribe audio with human-level accuracy. These multimodal capabilities are fundamentally changing how content on the web is indexed and cited.

For website owners, this means that Answer Engine Optimization is no longer just about text. Images, videos and audio content have become full-fledged sources that AI models can analyze and cite. An infographic that clearly visualizes a complex concept, an instructional video that explains a process step by step or a podcast clip featuring an expert interview: each of these formats can be understood by multimodal AI and recommended as a source.

Yet an important distinction remains. Although AI models can directly analyze multimedia, they still rely on textual metadata to find, classify and assess the value of multimedia content. The alt text on an image, the transcript of a video and the show notes of a podcast are not just useful for accessibility; they are essential for AI visibility.

Optimizing images for AI

Images are the most common multimedia format on the web and the first thing most website owners should think about when it comes to multimedia optimization. A well-optimized image does three things: it visually enriches the content for the human reader, it provides AI models with extra context about the topic and it can be independently indexed and cited. We have previously written extensively about alt texts as accessibility and AI signals. Here we build on that with a broader perspective.

• Descriptive file names: use "schema-org-markup-example.jpg" instead of "IMG_20260424.jpg." The file name is the first signal crawlers encounter.
• Alt texts with context: describe not just what is in the image, but also why the image is relevant in the context of the article.
• Captions: add a visible caption below the image where possible. Captions are read five times more often by readers than body text and give AI extra context.
• Image Schema.org markup: use ImageObject schema to describe the image, including description, author and license.
• Format and quality: use WebP or AVIF for optimal load speed without quality loss. Fast pages are crawled more effectively.

Infographics as citation magnets

Infographics deserve special attention in an AEO strategy. A well-designed infographic that visualizes data or a process is not only shared on social media but can also be cited by AI models. The condition is that the information in the infographic is also available as text. AI models can read images increasingly well, but HTML text alongside or below the infographic guarantees that the information is correctly indexed.

<figure>
  <img src="/images/aeo-score-breakdown.webp"
       alt="Infographic showing the AEO score breakdown: 60% content signals and 40% technical signals"
       width="1200" height="800"
       loading="lazy" />
  <figcaption>The AEO score consists of 60% content signals (readability, E-E-A-T, structure) and 40% technical signals (Schema.org, robots.txt, performance).</figcaption>
</figure>

<!-- Textual version of the infographic for AI indexing -->
<div class="sr-only">
  <h3>AEO score breakdown</h3>
  <ul>
    <li>Content signals (60%): readability, E-E-A-T, structure, freshness</li>
    <li>Technical signals (40%): Schema.org, robots.txt, performance, security</li>
  </ul>
</div>

Video optimization for AI visibility

Video is the fastest-growing content format on the web and AI models are becoming increasingly better at processing it. Google has been indexing videos for years, but with the rise of multimodal AI, video content is becoming truly "readable" by answer engines for the first time.

The key to video optimization for AI lies in metadata and transcription. A video without a description, without a transcript and without Schema.org markup is a black box for AI models. They know a video exists, but not what is discussed in it. By adding rich metadata, you make the content of your videos accessible for AI citation.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "VideoObject",
  "name": "AEO explained in 5 minutes",
  "description": "In this video we explain what Answer Engine Optimization is, why it matters and how to get started.",
  "thumbnailUrl": "https://aeo-expert.nl/images/video-thumb-aeo.webp",
  "uploadDate": "2026-04-24T10:00:00+02:00",
  "duration": "PT5M30S",
  "contentUrl": "https://aeo-expert.nl/videos/aeo-explained.mp4",
  "embedUrl": "https://www.youtube.com/embed/abc123",
  "transcript": "Welcome to AEO Expert. Today we explain what Answer Engine Optimization is...",
  "author": {
    "@type": "Organization",
    "name": "AEO Expert"
  }
}
</script>

Transcripts as a content goldmine

A full transcript of your video is perhaps the most powerful move you can make for AI visibility. The transcript makes the spoken content of your video searchable and indexable. Publish the transcript as HTML text on the same page as the video, not as a downloadable PDF file. This gives AI crawlers direct access to the full content.

Additionally, video transcripts serve as extra content on your page, enriching your page and increasing topical depth. A five-minute video yields an average of 750 to 1,000 words of transcript text. Combine the transcript with a good heading structure by adding subheadings at thematic transitions in the conversation. This way the transcript becomes not just a textual log of the video, but a standalone, well-structured article.

Optimizing audio and podcasts

Podcasts and audio content are a rapidly growing medium that is often overlooked in AI optimization. While the listener hears your audio, an AI model "hears" nothing unless you provide the right metadata and textual context.

1. Create a detailed show notes page for each podcast episode with a summary, key insights and timestamps.
2. Publish a full transcript of each episode as searchable HTML text.
3. Implement PodcastEpisode Schema.org markup with information about the host, guests, topic and duration.
4. Add chapter markers to your audio files so platforms and AI models understand the structure.
5. Link from your show notes to relevant articles on your website to strengthen the thematic connection.

A common misconception is that audio and podcast content is not relevant for AI citation because AI models "cannot listen." That is true for most crawlers, but the transcripts and show notes you publish alongside your audio are full-fledged textual content that is excellently indexed. Moreover, AI models like Gemini are becoming increasingly better at directly processing audio.

The multimedia content workflow

An effective workflow for multimedia optimization combines creative production with systematic metadata addition. Below is a step-by-step process you can follow for each multimedia item.

Start production with AI optimization in mind. Choose file names that describe the topic. During video recordings, include a clear intro and summary that AI models can use as a citation. For audio, structure the conversation with clear segments and transitions. After production, add all metadata: alt texts, captions, Schema.org markup, transcripts and show notes. Publish everything on a well-structured page with a clear readable layout that serves both humans and machines.

• Production: create the media file with clear structure, intro and summary.
• Metadata: add descriptive file names, alt texts and captions.
• Transcription: generate a full textual transcript and structure it with headings.
• Schema.org: implement the correct schema type (ImageObject, VideoObject, PodcastEpisode).
• Publication: integrate everything on a page that centers the media with textual context around it.
• Promotion: share the content with optimal Open Graph tags for previews on social media.

The future of content is multimodal. Websites that only think in text are missing the growing part of the AI index that encompasses images, video and audio.

Key takeaways

• AI models have evolved into multimodal systems that can process text, images, video and audio, but textual metadata remains essential for discovery and classification.
• Image optimization starts with descriptive file names and alt texts and is strengthened by captions and ImageObject schema.
• Video optimization revolves around rich Schema.org VideoObject markup and full transcripts published as searchable HTML.
• Audio and podcasts become AI-visible through detailed show notes, transcripts and PodcastEpisode schema.
• A systematic multimedia workflow that combines production, metadata and publication maximizes the AI visibility of all your media formats.

Frequently asked questions

Every image without alt text, every video without a transcript and every podcast without show notes is a missed opportunity for AI visibility. Make your multimedia findable.