{"id":279,"date":"2026-03-25T09:53:55","date_gmt":"2026-03-25T09:53:55","guid":{"rendered":"https:\/\/ai-rebels.uhu.nl\/?p=279"},"modified":"2026-03-25T11:03:00","modified_gmt":"2026-03-25T11:03:00","slug":"gemini-embedding-2-what-multimodal-ai-means-for-your-employer-brand","status":"publish","type":"post","link":"https:\/\/ai-rebels.uhu.nl\/en\/gemini-embedding-2-wat-multimodale-ai-betekent-voor-jouw-werkgeversmerk\/","title":{"rendered":"Gemini Embedding 2 - What multimodal AI means for your employer brand"},"content":{"rendered":"
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The day AI learned to watch<\/h2>\n

Imagine this: a software engineer asks Gemini: \u201cWhich tech company in Amsterdam suits me if I value autonomy and an informal culture?\u201d<\/p>\n

Until last week, AI based that answer solely on text. Your careers page, your Glassdoor reviews, your LinkedIn posts. That employer branding video you spent \u20ac15,000 on? Invisible. The podcast in which your CEO talks about your culture? Not considered. The photo shoot of your workplace? Irrelevant.<\/p>\n

That's over.<\/p>\n

On March 10, 2026, the article Google Gemini Embedding 2<\/a> launched. It explains an AI model that for the first time understands text, video, images and audio simultaneously. Not as separate files, but as one coherent message.<\/p>\n

The question is: what does AI see when it looks at your employer brand looks<\/em>?<\/p>\n

The gap between what candidates saw and what AI understood<\/h3>\n

Until March 2026, AI systems only analysed textual content from employers. Employer branding videos, podcasts and photo reports were invisible to ChatGPT and Gemini.<\/p>\n

A candidate orienting on a new employer asks ChatGPT or Gemini, \u201cIs company X a good employer for someone with my profile?\u201d The answer given by AI increasingly determines the initial view. Not your website. Not your job posting. The AI's answer.<\/p>\n

Until now, that response built exclusively on text. Your employer video on YouTube, your photo report of the workplace, the podcast in which your CEO talks about your culture: to AI, that was invisible unless there was an extensive transcript or caption. This is exactly why Generative Engine Optimization<\/a> has so far focused on clear texts, Q&A structure and factuality.<\/p>\n

What specifically will change with Gemini Embedding 2?<\/h3>\n

Gemini now understands video, audio and images without the need for text. From now on, a video in which employees talk about career opportunities has direct semantic value. A podcast about your culture counts. Footage from the workplace is read as part of the employer story.<\/span><\/p>\n

Employers who invested in employer branding videos, photography and podcasts for years, but never set that content up for AI readability, are now at real risk. AI has long ignored that content. Soon it will actively interpret that content, right or wrong.<\/span><\/p>\n

Why this is urgent now<\/h3>\n

The numbers are clear:<\/p>\n