How to Optimise Your Video Content for AI Discovery

Large Language Models (LLMs) like ChatGPT, Claude, and Gemini are changing how people discover information online. They tend to “read” videos as opposed to “watching” them (through transcripts, metadata, and the authority of the pages your videos live on).

That means every video you’ve ever published could work much harder for your brand if it’s optimised for AI discovery. This article will show you how to make sure your video content is understood, cited, and surfaced by AI search tools.

1. Make transcripts work for both search and AI

If your transcripts live only in a caption file, they’re invisible to AI.

Publish them as plain text on the page
LLMs rely on written language. Uploading a video to YouTube or Vimeo isn’t enough, you need the transcript on your website so search crawlers and AI models can parse it.
We’ve found that it is helpful to place the transcript beneath your embedded video or in a collapsible section labelled “Transcript” 

Clean them up for readability
AI tools prefer structured, well-punctuated text. Remove filler words (“um”, “like”) and add clear headings for topic changes.
A good transcript should read like a blog article, not a raw subtitle file.

Add context with intro and summary
Introduce the video with a short paragraph explaining what it covers and why it matters. 

End with a written summary highlighting the main insights or takeaways.
This creates semantic structure – the cues AI systems use to decide what your video is about.

Transcripts are useful for more than just making your content findable, they also ensure that it is accessible. To find out more about ensuring that your videos are accessible, check out our guide to the new European Accessibility Act

2. Use metadata and schema to increase visibility

Schema is the structured data that tells Google and AI tools what’s on your page.
Think of it as a translation layer between your content and the algorithms interpreting it.

Add VideoObject schema
Each video on your site should include a JSON-LD block describing:

• Title, description, and upload date
• Thumbnail image
• Duration
• Transcript or key topics
• The page URL and publisher (you)

This markup makes your video eligible for rich results, video carousels, and, crucially, AI search citations.
Once you’ve added schema, you can check that it’s working properly using Google’s Rich Results Test tool.
Simply paste your page URL into the checker and it will show whether Google can read your structured data correctly, flagging any issues to fix.

Link videos to your organisation entity
Use Organisation schema across your site, so AI systems can connect each video back to a trusted source.
This strengthens your brand’s E-E-A-T signals (Experience, Expertise, Authority, Trust).

Don’t forget your images
Add descriptive alt text and filenames that match your video topic. AI tools such as Google Lens use these to interpret visual context.

3. Optimise the page around your videos for authority

LLMs tend to look at both the video as well as evaluating the page that it lives on.

Give your videos a dedicated page
Rather than embedding five clips on one generic “portfolio” page, create individual pages for each project or service example.

Include:

• A strong headline with your target keyword
• An introduction summarising the story or purpose of the video
• The embedded video
• Transcript and supporting visuals
• Links to related services, testimonials, or resources

This turns a single piece of content into a full “entity hub”, something AI can recognise as authoritative.

Add FAQ schema
Finish with a few relevant FAQs that answer real client questions.
This helps Google understand the intent of the page and increases your chances of appearing in featured snippets or AI search overviews.

Keep it fresh
AI search engines value recency. Review your top-performing videos every six months, update the text, and refresh the publish date if you’ve made meaningful edits.

4. Measure how your optimised videos perform

Once your videos are AI-ready, track results using:

• Google Search Console: watch for new impressions in video and rich result reports.
• YouTube Studio: monitor watch time and CTR if you’re embedding YouTube videos.
• Analytics tools: measure time on page, scroll depth, and click-through to conversion.

Over time, you should see more impressions for question-based searches and longer engagement with your pages.

The Takeaway

Optimising video for AI discovery doesn’t mean that you need to reinvent all of your content for compliance, instead focus on making what you already have machine-readable.

By publishing polished transcripts, adding schema, and surrounding each video with context, you make your expertise easier for both humans and algorithms to recognise.

That’s how your videos stop being just assets, and start becoming answers.

Author Bio

Adam Neale is the CEO and Creative Director of Bold Content Video, a London-based video production agency specialising in strategic, story-driven films for global brands. With over two decades of experience in the video industry, and more than 1100 videos filmed in 43 countries, Adam has led award-winning productions across branded content, documentary, and corporate storytelling.

His work has been recognised with a Vimeo Staff Pick, a Webby Award, and honours from international film festivals, reflecting his commitment to creative excellence and innovation in visual storytelling.

Under Adam’s leadership, Bold Content Video has produced campaigns for leading organisations including Coca-Cola, the Commonwealth Secretariat, and Google. He is passionate about helping brands communicate with authenticity and purpose through the power of film.