AI search is no longer text-only. Gemini, ChatGPT, and Google AI Overviews increasingly interpret images, diagrams, and video — and surface them in answers. Optimizing multimodal content extends your visibility into surfaces most competitors still ignore.
Why multimodal AEO matters now
Modern engines are multimodal: they can read text inside images, interpret charts, and pull frames or transcripts from video. That means a diagram or a video chapter can be cited the same way a paragraph can. Treat every visual as a potential answer source, not decoration. For the underlying principles, see content optimization for AI.
Step 1: Make images machine-readable
Engines extract meaning from images through several signals you control:
- Descriptive filenames —
aeo-citation-workflow.png, notIMG_4821.png. - Rich alt text — describe what the image shows and the concept it conveys, naming relevant entities.
- Surrounding context — place a caption and an explanatory sentence directly adjacent to the image.
- Readable in-image text — labels and headings inside diagrams get OCR’d, so keep them legible and accurate.
Step 2: Build original visual assets worth citing
Stock images add nothing. Original visuals that explain a concept are far more likely to be surfaced:
- Process diagrams and flowcharts.
- Original data charts (with the data also stated in text).
- Annotated screenshots for how-to content.
- Comparison graphics for “vs” topics.
Always restate the key takeaway of a chart in text — engines cross-reference the two and the text guarantees the fact is captured.
Step 3: Optimize video for extraction
Video is a growing citation surface, especially as engines pull transcripts and chapters.
- Provide a full, accurate transcript on the page — this is the primary text engines read.
- Add timestamped chapters so engines can cite a specific segment.
- Write a descriptive title and summary that names the topic and entities.
- Include captions/subtitles for accessibility and extra text signal.
Step 4: Add structured data for media
Schema helps engines understand what a visual or video contains and when it’s relevant. Use ImageObject and VideoObject markup, with properties for name, description, thumbnail, upload date, and transcript where supported. The structured data for AI visibility and schema markup guide cover the implementation details.
Step 5: Pair every visual with extractable text
The recurring rule of multimodal AEO: never let a visual carry information that isn’t also in text. Engines are strongest at text, so the text is your guarantee.
- Summarize each diagram’s point in a caption or adjacent sentence.
- List the data behind every chart.
- Transcribe every video.
This redundancy is also the easiest path to content repurposing for AEO — a transcript becomes an article, a chart becomes a data point.
Step 6: Don’t neglect technical delivery
Visibility depends on engines actually accessing your media.
- Ensure images and video files are crawlable (not blocked, not lazy-loaded into invisibility).
- Use accessible formats and reasonable file sizes.
- Submit image and video sitemaps.
- Confirm visuals render without JavaScript where possible.
Multimodal content also feeds the visual elements in Google AI Overviews, so the same work pays off across surfaces. Add multimodal checks to your on-page AEO checklist.
A multimodal optimization checklist
- [ ] Descriptive filenames and rich alt text on every image
- [ ] Original diagrams/charts, not stock imagery
- [ ] Key visual takeaways restated in text
- [ ] Full transcripts and chapters for video
- [ ] ImageObject / VideoObject schema
- [ ] Crawlable media plus image/video sitemaps
Frequently Asked Questions
Can AI engines really read text inside images?
Yes. Modern multimodal engines use OCR and image understanding to interpret labels, headings, and content within images, so legible in-image text and accurate diagrams can contribute to answers. That said, always restate the key information in surrounding text, since the text version is the most reliable signal an engine captures.
Is alt text still important for AEO?
Very much so. Alt text remains one of the clearest signals describing what an image depicts, and engines use it alongside captions and surrounding context to understand and potentially cite the image. Write alt text that describes the concept and names relevant entities rather than stuffing keywords.
How do I optimize video for AI search?
Provide a full, accurate transcript on the page, add timestamped chapters, write a descriptive title and summary, and apply VideoObject schema. The transcript is the most important element because engines primarily read the text, while chapters let an engine cite a specific segment of the video.
Do original graphics outperform stock images for AEO?
Yes, substantially. Original diagrams, charts, and annotated screenshots convey information engines can extract and cite, while generic stock imagery adds no informational value. Pair every original visual with a text explanation to maximize the chance it’s surfaced in an answer.