Yes—images and videos can improve generative search visibility, but only when they strengthen understanding, trust, and retrieval. They do not act as a separate “GEO ranking factor” by themselves. In practice, rich media helps when it makes a page easier for search engines, answer engines, and LLM-powered interfaces to interpret, cite, and present: clearer topic coverage, better engagement signals, stronger entity consistency, richer structured data, and more reusable page assets. Google explicitly uses page context, alt text, and structured data to understand images, and supports dedicated video indexing features such as thumbnails, key moments, and video metadata. ([developers.google.com](https://developers.google.com/search/docs/appearance/google-images?utm_source=openai))

The strategic point for brands is simple: media improves visibility when it is embedded in a page architecture that already deserves to be surfaced. A useful diagram, product screenshot, location photo, demo video, or expert clip can increase discoverability in classic SEO, strengthen SXO, and give generative systems more confidence in what the page is about. But decorative stock visuals, heavy embeds, blocked assets, weak captions, or inconsistent markup usually add cost without adding visibility. ([developers.google.com](https://developers.google.com/search/docs/appearance/google-images?utm_source=openai))

What actually changes visibility in generative search

Generative search systems do not “watch” or “appreciate” media the way a human does. They rely on machine-readable signals around the asset: surrounding copy, headings, captions, file accessibility, metadata, and structured data. Google states that it uses alt text, computer vision, and page content together to understand images; it also requires consistent metadata and crawlable thumbnails or video files for video features. ([developers.google.com](https://developers.google.com/search/docs/appearance/google-images?utm_source=openai))

For AI Visibility, GEO, AEO, and LLM visibility, this means an image or video is most useful when it helps answer a query more completely than text alone. Examples include annotated screenshots for a software workflow, before/after visuals for a redesign, process diagrams for a technical service, maps and storefront photos for local intent, and short expert videos that explain a specific decision or method. These assets create more precise retrieval cues and more useful landing pages for both users and engines. Bing’s 2026 image search updates also show that visual search interfaces are becoming more AI-guided and exploratory, which increases the value of well-structured visual assets. ([blogs.bing.com](https://blogs.bing.com/search/May-2026/A-Smarter-Way-to-Explore-Images-Has-Come-to-Bing?utm_source=openai))

Method: how to make images and videos support SEO, SXO and GEO

1. Match each media asset to a search intent

Do not start from format. Start from the query. Ask: what user uncertainty does this asset reduce? A good image or video should clarify a step, prove a claim, show a result, compare options, or localize the offer. This is where SEO and SXO work together: the asset must improve both discoverability and decision quality.

  • Informational intent: diagrams, walkthrough screenshots, expert explainers, key-step videos.
  • Commercial intent: product visuals, comparison tables rendered as images only if also explained in text, demo clips, trust elements.
  • Local intent: team photos, office exteriors, service area visuals, local proof on dedicated landing pages.
  • Conversion intent: short clips answering objections, examples of deliverables, redesign before/after visuals.

2. Keep the text layer strong

Generative visibility still depends heavily on text. The page must explain what the media shows, why it matters, and how it answers the query. Google recommends descriptive alt text and relevant surrounding text because nearby content helps explain the image in context. ([developers.google.com](https://developers.google.com/search/docs/fundamentals/seo-starter-guide?authuser=2&utm_source=openai))

  • Write descriptive file names where practical.
  • Use precise alt text for informative images, not keyword stuffing.
  • Add visible captions when they improve comprehension.
  • Explain the takeaway in the paragraph before or after the asset.
  • For videos, include a summary, chapter list, or transcript-style text when relevant.

3. Add structured data that reflects the real page

Structured data does not guarantee enhanced visibility, but it improves eligibility and machine understanding when implemented correctly. Google’s guidelines stress that markup must be relevant to the page and consistent with the visible content. For image eligibility in some rich results, the image field is required; for video, properties such as thumbnailUrl, name, description, and other metadata help search systems interpret the asset. ([developers.google.com](https://developers.google.com/search/docs/appearance/structured-data/sd-policies?utm_source=openai))

For most service pages, the practical stack is:

  • Organization and WebSite markup at site level.
  • Service, LocalBusiness, or other relevant entity markup on business pages.
  • FAQ or other answer-oriented markup only where genuinely supported by page content.
  • VideoObject for embedded videos with consistent metadata.
  • Image properties within relevant schemas where supported and useful.

When this layer is missing or inconsistent, a dedicated structured data implementation often creates more value than adding more media files.

4. Make assets crawlable, indexable and stable

Many visibility losses are technical, not editorial. Google recommends that video thumbnails be accessible at stable URLs and that the actual video file be fetchable for some features such as previews and key moments. It also recommends consistency across sitemap, structured data, and other metadata sources. OpenAI’s documentation similarly notes that inclusion in ChatGPT search depends in part on allowing OAI-Searchbot to crawl the site. ([developers.google.com](https://developers.google.com/search/docs/appearance/video?utm_source=openai))

  • Do not block image or video assets in robots.txt by mistake.
  • Use stable asset URLs where possible.
  • Ensure CDN rules do not prevent crawler access.
  • Declare video thumbnails consistently across markup sources.
  • Check that embedded players do not hide all useful metadata from the page.

Where media creates the strongest business impact

Service pages

On service pages, visuals work best when they reduce ambiguity. A process diagram, deliverable example, audit screenshot, or short explainer can make a page more quotable and easier to cite in AI-generated answers. This is especially useful on high-intent pages such as GEO / LLM visibility services or technical SEO offers, where buyers need proof and clarity before contacting an agency.

Local pages

For local visibility, media is often underused. Original office photos, team visuals, service area illustrations, and project examples can reinforce geographic relevance and trust on local landing pages. The key is to support them with location-specific text, local business data, and strong internal linking. A generic stock image will rarely help a city page compete.

Redesign and migration projects

During a redesign, media strategy should be treated as a visibility issue, not just a design issue. Redesigns often break image paths, video embeds, schema consistency, lazy-loading behavior, or page speed. If a site is being rebuilt, this is the right time to align media templates, asset governance, structured data, and performance budgets. That is often part of a broader website redesign program or a new website creation project.

Main risks to avoid

Decorative media with no retrieval value

If the asset does not add a distinct informational angle, it is unlikely to improve GEO or AEO. Engines can already summarize the text; they do not need another generic banner image.

Performance damage

Heavy images, autoplay videos, and poorly controlled third-party embeds can reduce Core Web Vitals and hurt the page experience. Media should improve the answer, not slow down access to it. This is a classic point where SXO and SEO must be arbitrated together.

Markup inflation

Adding every possible schema type is not a strategy. Google explicitly says structured data does not guarantee a specific search feature and that the markup must fit the real page. Over-markup, misleading markup, or duplicated metadata can reduce trust and create maintenance debt. ([developers.google.com](https://developers.google.com/search/docs/appearance/structured-data/sd-policies?utm_source=openai))

Invisible or inaccessible assets

When the file is blocked, served only through scripts, missing stable URLs, or not available to crawlers, engines may not use it as intended. This is common with video hosting and aggressive CDN protection. ([developers.google.com](https://developers.google.com/search/docs/appearance/video?hl=en&utm_source=openai))

Checks an agency should run before promising visibility gains

  1. Intent check: does the asset help answer a specific query better than text alone?
  2. Source check: is it original, current, and trustworthy enough to support brand authority?
  3. Context check: is the page text explicit about what the asset shows and why it matters?
  4. Markup check: is the structured data relevant, valid, and consistent with visible content?
  5. Crawl check: can search bots access the asset, thumbnail, and metadata?
  6. Performance check: does the asset preserve loading speed and mobile usability?
  7. Measurement check: can we compare indexed assets, search appearance, CTR, assisted conversions, and engagement before and after?

Concrete agency actions

Editorial actions

  • Create a media brief per priority page: target query, user doubt, expected proof, asset type, caption, alt text, and CTA.
  • Replace stock visuals on strategic pages with original diagrams, screenshots, team photos, case visuals, or expert clips.
  • Add concise on-page explanations that make each asset reusable in summaries and answer engines.
  • For videos, prepare chapters, timestamps, and a short text synopsis.

Technical actions

  • Audit robots, CDN, lazy loading, file formats, dimensions, compression, and asset URLs.
  • Implement or correct image and video structured data where justified.
  • Add video sitemaps or verify existing video discovery signals when video is strategic.
  • Test eligibility and indexing in Search Console and validate schema output in templates.

Architecture actions

  • Map media to key templates: homepage, service pages, sector pages, local pages, case studies, and FAQ-like answer pages.
  • Strengthen internal links between authoritative text pages and supporting media-rich pages.
  • Prioritize assets on pages already close to page-one or answer-surface visibility, where incremental gains are easier to capture.

What to tell decision-makers

The right question is not “should we add more images and videos?” It is “which media assets will make our priority pages easier to understand, easier to trust, and easier to surface in both search results and AI answers?” In most cases, the best gains come from improving a limited set of high-intent pages, not from uploading media everywhere.

If you want a practical next step, start with a 10-page audit: identify the pages that matter most for leads, check whether each one has one genuinely useful visual asset, one clear text explanation, valid schema, crawlable files, and acceptable performance. If not, plan the fixes page by page—or ask for an audit before investing in more content production.