What is Media Intelligence? Definition, Public Relations Benefits & Use Cases

Public relations teams have long relied on social media to distribute messages, tap into community discussion, and manage reputation for brands.

Now, there’s an important new aspect of social to consider thanks to AI. The likes of ChatGPT, Gemini, and Perplexity are actively crawling social media platforms to train their LLMs (large language models) and help answer audience questions.

For PR professionals, that means where you show up across social media – on your LinkedIn channel, in Reddit and X discussions, through thought leadership or employee advocacy – informs AI responses.

This is both posing challenges and creating opportunities. Namely, is your social media being managed with AI discovery in mind? And are you showing up across LLMs in the way you want to?

AI can now be viewed as a new audience member for your social media content. That means you'll be able to leverage your feeds to influence how your brand and campaigns get cited by answer engines like ChatGPT.

Let’s take a closer look at how social media is a PR asset in the era of AI search.

Why AI is reading your social feeds (and what it means for PR)

The LLMs that power AI platforms like ChatGPT need to ingest human-readable text to stay accurate, up-to-date, and relevant. So it stands to reason that these LLMs will scan social media platforms – which generate huge amounts of human-led words, ideas, and insight every day – for training data.

How your brand is represented across social media content – on your own channels and externally – therefore matters more than ever. When AI platforms provide answers to consumer questions related to your industry, you want to be showing up in these conversations – and in a positive light.

Recent research has shown that Reddit and LinkedIn are among the top domains cited in LLM answers – the latter is particularly good news for PR teams, as LinkedIn is the platform most valued by journalists, according to the 2025 State of the Media Report.

In the same way an earned media article in a trusted publication impacts how a customer or prospect views your brand, the same can be said with a prominent placement in a ChatGPT response. Social media represents another route into AI search results.

Creating signals for AI with social media

Any social media post that mentions your brand is sending out signals to AI. Engagement through comments, likes, and reshares offer validation to LLMs scanning for information. Plus, longer-form content on platforms like the journalist-favored LinkedIn offer credibility through human bylines and structure with clear formatting.

Let’s look at three areas where PR teams can leverage social media to help with AI visibility.

1. Social engagement on owned channels

Your own social channels are a direct line to AI. Regularly publishing insightful content, amplifying company announcements, and engaging in conversations related to your industry give LLMs a consistent source of information about who you are and what you stand for. In a nutshell, what you post contributes to your brand's overall AI footprint.

2. Employee advocacy

PR teams that run employee advocacy programs are building discoverability. For example, your workforce, from C-suite executive to graduate new-starters, can post consistently, engage in industry conversations, and publishing thought leadership content. All this is building an indexed, citable record of your brand's authority.

3. Journalist and influencer content

Journalists’ top use of social media is to promote and publish their own work, according to 2025 State of the Media data. That means their social content that mentions you is also informing LLMs. Reporters can amplify your story and, through their work, help position your brand in the way you want your audience (both human and AI) to see.

The reputational risk of social media in the AI era

Your brand’s social media presence isn’t isolated to your own channels. Any social media user can form an opinion on your brand, share it with their own followers, and influence others.

For PR teams, that’s a potential brand risk. Negative Reddit discussions, damaging X posts, or detrimental TikTok videos that gain social traction can spread quickly and paint a negative picture of your brand.

But negative messaging doesn’t just live on social media. Viral trends and damaging stories have always risked crossing over into traditional media coverage – now, though, they can also get picked up, cited, and repeated in AI-generated search answers.

That means you need to understand a new avenue for reputational risk: AI as a potential amplifier of negative brand stories that circulate on social media. PR teams need a multi-layered monitoring approach, pairing traditional social listening (to locate the source of negative sentiment) with search intelligence tools to track if LLMs are presenting damaging brand narratives.

The bottom line

Although owned social media activity can shape AI’s knowledge of a brand, PR professionals need to be aware that this alone won’t shape your entire story.

Instead, the way forward involves understanding holistically that your social feeds, workforce, journalist partners, and external audience all play a part in how LLMs form and share opinions about your brand.

Find out how CisionOne Social can level up your PR strategy.