There are now 2 audiences in every marketing strategy
More and more buying decisions now start with a question to an AI assistant. The assistant builds its answer from sources it trusts, and social platforms are among those sources. AI engines use them to form opinions about brands and products and decide which ones to recommend.
Most creator briefs are still written for humans only. They rarely consider AI engines as an audience, even though AI recommendations now carry a lot of weight.
1. YouTube is the kingmaker in the generative AI era
Among social platforms, YouTube plays a special role in AI answers. YouTube is the only platform cited by every major AI engine. Other platforms are cited a lot by some engines and hardly at all by others. YouTube is cited consistently by all of them.
Citation levels observed across Share of Model projects.
What this means for brands:
- No blind spots. A video that gets cited can influence answers on every major AI engine, not just one.
- AI authority, not just awareness. In Share of Model projects, brands that get more visibility on YouTube also tend to get more visibility in AI answers. In retail, YouTube ranks nearly twice as prominently as Reddit.
- Cited first. YouTube isn’t just cited. It’s often one of the first sources an AI engine relies on.
- Two audiences at once. Every video reaches people who watch it and AI engines that cite it. Both can be convinced that your brand is the best choice.
2. Share of Model: the matchmaker between brands and YouTube creators
Share of Model already shows you how AI engines talk about your brand: which prompts mention you, which competitors appear, and which sources AI engines cite in their answers. YouTube Creator Partnerships uses those citations to connect two sides:- Brands that want to be recommended by AI engines
- YouTube creators whose videos AI engines already trust on the topics that matter to those brands
3. YouTube creators are a new channel you can act on
AI visibility often feels hard to control. Creator partnerships change that: they’re a lever you can actually pull. YouTube Creator Partnerships takes you from insight to action in three steps.Identify
Find the creators that AI engines cite most for your prompts, brands and categories.- Leaderboard: creators ranked by Influence Score, their share of the YouTube citations in AI answers for your projects, by tier or in a single list
- Creator Location: creators shown on a world map, so you can build local partnerships
Analyse
Understand why a video gets cited.- Video Content Analysis: a Gemini-powered breakdown of any cited video. It covers how well the video follows GEO best practices, the creator’s key messages, the video’s structure and style, the brands it mentions, and recommendations for a partnership.
Activate
Turn insight into a partnership.- Create a creator brief: a conversational agent writes a brief for one creator. The brief combines your brand context with practical guidelines to make the video easier for AI engines to cite. You can find all your briefs in the Partnership Briefs tab.
In short: Identify the creators AI trusts → understand what makes their content citable → brief them to create content that AI engines want to cite.
4. New opportunities with smaller creators
For years, creator investment followed one main KPI: audience size. Views and followers decided who got the budget, so macro-influencers got most of it. AI engines don’t work that way. They cite the content they find most relevant, credible and useful, whatever the size of the channel. Look at any Leaderboard and you’ll often see small, specialised channels (a niche food blogger or a product reviewer with a few thousand subscribers) cited as often as channels with millions of subscribers. This opens up a new way to invest in creators:
What this means for brands:
- Better return on investment. Nano and micro creators with strong AI visibility can outperform macro-influencers, often at a fraction of the cost.
- Hidden talent. Some creators are barely visible to a human audience but are cited all the time by AI engines. Share of Model surfaces them.
- Organic to paid. When a creator’s organic content performs well with AI engines, you can amplify it with paid formats such as YouTube Partnership Ads.
- Repeatable content patterns. Video Content Analysis shows what makes cited content work (format, structure, proof, length), so you can create more AI-friendly content.
Where to start
- Open Integrations › YouTube Creator Partnerships.
- In the Leaderboard, filter by your projects, brands and categories, then look at the top creators in each tier. Don’t skip the Nano and Micro tiers.
- Shortlist the creators who fit your brand.
- Run a Video Content Analysis on their most-cited videos.
- Create a brief and share it with the creator.