
Do you know that Generative AI tools like ChatGPT scan and use social media content in their answers now?
Your audience on social media is not just humans anymore. AI models are also now paying attention to social media posts to know what people are talking about and the brands that they should recommend to the answers they give their users. So, you need to start optimizing your social media posts for AI discovery as well.
Here are a few tips you can use to leverage your social media accounts to improve how often your brand is discovered and cited by AI tools:
If you want your social media content to be cited by Generative AI tools like ChatGPT and Gemini, you need to optimize it for that purpose.
First of all, you need to make your content original and easy to read and understand by your human audience.
Next, you need to make sure that the content you post is top-quality and useful.
AI tools only cite quality content to answer user queries. Ensure you post educational content, industry insights, expert opinions, and how-to content that actually answer questions.
Don’t just post promotional links on your social media accounts.
In addition to that, you can make posts in a Q&A format and make the answers as direct and short as possible. These kinds of social posts usually stand a good chance of being extracted and cited.
If you are posting images or video content on your social accounts, make sure you include video descriptions, image alt text, and descriptive post captions that can serve as metadata.
One of the criteria that AI models use to check if a brand’s content is citable is its “entity consensus”. This is the process of checking different social platforms to see if the brand is mentioned on all of them.
So, you can increase your brand’s entity consensus and chances of being cited by diversifying your content and posting on different platforms like Facebook, YouTube, LinkedIn, Instagram, etc.
This is also a great way of building a strong digital footprint for your brand.
Before, brands and content were ranked based on the number of quality backlinks that they had. That’s not the case anymore.
AI tools now prioritize brand mentions over backlinks.
So, you need to create an active community on social media platforms like Twitter(formerly X), Facebook, Reddit, and LinkedIn, where users can collectively discuss your brand and their experience working with you.
AI tools use “social capital” to rate brands, and these positive discussions are a great way for your brand to build that.
That’s not all. You can also get your customers to post reviews and screenshots after patronizing you.
When your customers tag you, share reviews, or post positive screenshots about your brand, AI models use their public opinions as the honest, real-life recommendations that they need to verify your professionalism and expertise.
These reviews also improve your brand’s trust signals.
You can also get unlinked brand mentions through publications in your industry and social media podcasts.
This will enable AI models to see your brand as a trusted name in your industry and will boost the chances of your content being cited and recommended.
The bottom line is, if you want your content to be cited and used by AI models, ensure it is useful, engaging, and written in a way that your human audience can understand it.
Once your brand’s content is trusted and engaged with by humans, AI models will see it as credible and cite it when a user sends a query in your niche.