In a world where AI chatbots are becoming the new entry point for customers, brands are changing their visibility strategies. A new item has appeared in creator briefs: AI visibility. Marketers have realized that traditional SEO and paid advertising methods are no longer sufficient when LLMs (large language models) actively scan social media, blogs, and news portals in search of answers to user queries. The key becomes the “video DNA” and “matrix” of content that AI can interpret.
AI Visibility: The New Reality of Content
Previously, the brand itself dictated what would be said about it online. Today, AI search takes the initiative, relying on external, more authentic sources.
“The machine moves to the most accessible public information and the most authentic to get closer to an answer. It’s not what comes from the brands themselves,” notes Joe Gagliese, CEO of Viral Nation.
Creators as Key to AI Trust
- Authenticity: AI prefers content created by real people, not corporate marketing departments.
- Accessibility: Social networks and creator blogs are open data sources for LLMs.
- Trust: Positive reviews and feedback from creators build a brand’s reputation in the eyes of AI.
The Zoom example demonstrates this trend: the company collaborated with journalist-creator Naima Raza to enhance authority through storytelling. This is a step towards bypassing the advertising ban when a direct advertising message doesn’t work.
Measuring and Optimizing AI Visibility
While the direct link between creator campaigns and AI visibility is still under development, the correlation is already evident. Christina Coughlin, SVP and General Manager at Trevant, notes that requests to track creator content in AI search results come in almost every new pitch.
This pushes agencies towards repurposing content and adapting strategies.
Agency Strategies for AI Visibility
- Audit existing content: Trevant analyzes which creators and content types generate the most citations in LLMs.
- Continuous monitoring: Tracking citations during campaigns to optimize and plan future partnerships.
- Integration with SEO: Crispin’s teams, for example, work with SEO specialists to reverse engineer GEO processes to amplify creator influence.
This approach allows brands, previously skeptical of influencer marketing, to see the value in unique video and content for AI search.
Technical Aspects of AEO and Content
Creators are actively mastering AEO (Answer Engine Optimization), creating specialized sites and conducting audits. It’s important that social media post captions are machine-readable and contain enough information for LLMs to scan.
“In addition to simply sharing information and all the usual things you expect from a caption, we’re now suddenly saying, ‘Okay, this is the new long tail of online search, and we need to make sure this caption is working as hard as possible,’” emphasizes Daniella Wiley, CEO of Sway Group.
What creators need to consider:
- “Gluing” information: Creating cohesive, informative content that is easy to “repackage” for AI.
- “Splitting” content: Turning one webinar into 50 short clips for different platforms.
- Metadata: Maximally detailed and relevant descriptions, tags.
However, experts warn against overdoing it. Scott Sutton, CEO of Later, notes that 300,000 TikToks about a new soap might not make it into AEO if they are not in the right place for indexing.
This highlights the importance of a uniqueness package and a strategic approach to content scaling.
Frequently Asked Questions
What is AI visibility and why is it important?
AI visibility is the ability of a brand’s content to be discovered and cited by large language models (LLMs) and AI chatbots when responding to user queries. It is important because more and more people are starting their purchasing journey with AI search, and a brand not present there loses potential customers. It’s like a “clone” of your content working for you in a new digital reality.
How can creators help brands improve AI visibility?
Creators can create authentic, informative, and well-structured content that is easily scannable by LLMs. Their positive reviews and testimonials are perceived by AI as more reliable than direct brand advertising. They help to “trick” algorithms by providing quality, natural content.
What is AEO and how does it differ from SEO?
AEO (Answer Engine Optimization) is the optimization of content for answer engines, such as AI chatbots, which aim to provide a direct answer to a user’s question. Unlike traditional SEO, which focuses on keywords for search engines, AEO is geared towards providing clear, authoritative, and complete answers that AI can easily extract and use. It’s like “repurposing video for advertising” with AI logic in mind.
Yes, repurposing and unique-ifying existing content is an effective approach. This can include changing the background and tone in videos, adapting for TikTok, Shorts, Reels, rewriting captions for machine readability. The goal is to create 100 unique pieces from one, but it’s important to ensure that the new content meets AEO requirements and will be correctly indexed by AI.
Conclusion
The era of AI search is changing the game for brands and creators. Investing in AI visibility through authentic creator content is becoming not just desirable, but critically important. This is not just a “price comparison from scratch”, but a strategic step towards dominating the new digital reality.
Start adapting your content strategy today so that your brand is not just visible, but also cited in tomorrow’s AI world. Explore the possibilities of generating variants for A/B tests and adapting for different social networks to make the most effective use of every bit of your content.