Social media SEO has moved from a nice-to-have to a core part of how businesses get found using search engines and AI search, also known as Generative Experience Optimisation (GEO).
Artificial Intelligence tools answer questions directly, taking content from social media platforms alongside websites as primary sources for information. This means search engines like Google now cite social media posts alongside traditional search results.
What once lived only inside social platforms like Facebook and LinkedIn is now indexable, citable, and permanently part of the open web.
For businesses, this changes what social media actually does for them. Content that used to reach only followers or the space on a person’s feed now has the potential to reach anyone searching Google or using an AI platform.
And with that, the standard for what that content needs to do has changed significantly.
Read this post to understand what’s needed to keep up or stay ahead of these changes and check out the glossary at the end of this post for more insight into the terms and phrases used throughout.
How are AI tools using social media content?
ChatGPT, Perplexity, and Google’s AI Mode all now use social media platforms as primary sources when generating responses. An analysis of 30 million sources by Peec AI and 150,000 AI citations by Semrush found that Reddit, YouTube, and LinkedIn consistently appear among the most-cited domains across AI platforms.
As well as this, Semrush’s LinkedIn research found that AI models often mirror the phrasing and intent of content they cite, with semantic similarity scores between 0.57 and 0.60. This means that content is not only being identified by AI but echoed to audiences close to exactly how the original content was written, as AI trusts the authority of that content.
When AI tools encounter well-structured, authoritative content, they echo it back to a new audience. That gives consistently written, credible content a form of reach that extends well beyond an original post’s audience.
It’s more than a numbers game
AI systems prioritise educational, original content from sources that post regularly, favouring depth and consistency over one-off viral or trending moments. The research shows that 75% of LinkedIn authors cited by AI tools post at least five times within a four-week period.
The engagement metrics then tell a different story, as many of the cited posts have only 15–25 reactions. This suggests that relevance to the queries being entered by search engine users matter far more to AI than popularity within a platform.
Which platforms are being crawled and cited most frequently in social media SEO studies?
Reddit leads in authentic user discussions and Q&A threads
Reddit leads all sources in AI citations, with Semrush finding a 40.1% citation frequency. More than half of Reddit content cited by AI originates from Q&A threads with practical, peer-generated answers to specific questions. Perplexity also draws around 47% of its responses from these discussions.
This comes in part from Reddit’s signed licensing agreements worth over $200 million with Google and OpenAI, aimed at embedding its content directly into AI training and retrieval systems.
How do I use Reddit in my strategy going forward?
For brands looking to take advantage of Reddit in their social media SEO strategy, active participation in relevant communities creates opportunities to be cited. It also provides brands with another platform where they can be positioned as trustworthy, and helpful to their ideal customer.
As a quick tip, Reddit’s audiences respond to individual voices, so participation works best through personal rather than company accounts.
LinkedIn is the best source for B2B, professional advice and individual expertise
LinkedIn ranks among the most cited domains across several datasets, appearing in roughly 11% of AI responses, making it the primary platform for B2B social media SEO and AI search visibility.
Research from Semrush suggests that long-form articles (500–2,000 words) account for 50–66% of cited LinkedIn content. Mid-length posts between 50 and 299 words make up the largest share of post-based citations.
How should I plan my LinkedIn content to be cited by AI?
Originality is essential for LinkedIn. Semrush’s research found that 95% of cited posts are original content, and reshared content rarely appears in AI responses. Company pages and individual profiles perform differently depending on the platform, with Perplexity favouring Company Pages (59% of citations), while ChatGPT and Google AI Mode favour individual creators.
When planning content for LinkedIn, consider its value to audiences as a standalone article or post. A good starting point is using engagement for blog content already on your website to determine which posts perform best with your target audience. Then adapt this content for a LinkedIn article, to demonstrate your industry expertise and experience. If you do choose to use generative AI tools for this, be sure to adapt the content, and never just copy and paste the output. Originality and authenticity are the most important considerations with any content you create.
For more help with high-quality content, optimised for AI search, get in touch with us today.
YouTube dominates video citations
YouTube consistently ranks among the top-cited platforms across AI tools. Citations are driven primarily by transcripts and video descriptions, with written accompaniment doing more work than the visual content itself. Captions, descriptions, and structured text give AI systems something to read and reference, which means the words associated with a video have measurable SEO value.
How can using YouTube benefit my social media strategy?
YouTube brings search benefits as well as AI citation. As a Google-owned product, it integrates directly with Google Search, alongside Google Ads and Google Business Profile, two more important products within the Google ecosystem.
Video has also become one of the most popular forms of content to be consumed on social media, with research from Ofcom stating that 84% of people use social media platforms each month to watch video content.
For brands, this makes YouTube videos, and especially YouTube Shorts, essential for social media content plans.
Instagram posts are now indexed
On 10th July 2025, Instagram officially confirmed that public content from professional accounts can be indexed by Google and other search engines.
Google indexing of Instagram posts means that Reels, carousels, and feed posts from public Business and Creator accounts, posted from 1st January 2020 onwards, are now eligible to appear in search results. Stories remain excluded, as does content from any personal or private accounts.
How does Instagram’s indexing of content impact my business page?
With this change professional accounts are automatically opted in for this type of indexing. Brands that have not yet reviewed their Instagram content with search visibility in mind are already opted into a system they may not have planned or prepared for.
The best way to address these changes would be to review both existing and planned content, to determine the topics, conversations and industries your posts could index for. Then, analyse your approach to future content to accurately target those within your intended audience.
How does AI citation change the quality of what businesses post on social media?
The increased visibility of social media content in AI search results raises the value of posts that answer specific questions, provide lasting usefulness to an audience, and demonstrate expertise consistently over time.
A one-off post designed for immediate impact in a feed serves a different purpose than content with evergreen value. In an environment where that content can now be discovered through Google or cited by an AI tool months or years after it was published, the distinction matters considerably more than it used to.
Our Content Manager, Beca, explored this directly in a LinkedIn post earlier this year, looking into Sprout Social’s 2025 Content Benchmarks Report. The data in this report shows that brands across industries have reduced posting frequency while seeing approximately 20% growth in average daily engagements. This reinforces the case for prioritising relevance and depth over an increased volume of posts. Audiences respond to content that gives them something worthwhile, and search algorithms and AI systems are increasingly calibrated to reflect this preference.
That principle now applies to search visibility too. The platforms that AI tools cite most heavily share a quality entirely separate from follower counts or engagement rates. They contain specific, useful, well-structured information.
- Reddit threads get cited because they answer questions directly
- LinkedIn articles and posts get cited because they share first-hand expertise with enough depth to be relevant
- YouTube content gets cited because its transcripts are readable and informative
- Instagram content is indexed by Google and ranked based on traditional SEO as well as social media SEO value.
Posting with less frequency and more purpose produces better results in search, generates stronger AI citations, and represents the brand more effectively to anyone who finds that content outside the platform it was published on.
If you’d like to revisit our 2025 social media tips for businesses looking to grow, you can do so by visiting this post.
How does consistent, on-brand content perform differently in AI-driven search?
When social media content appears in search results, it sits alongside website content.
A potential customer may land on an Instagram post or LinkedIn article before they ever reach a website homepage, which makes brand consistency across channels a search consideration, as well as an important element of visual signposting.
AI tools favour sources that demonstrate expertise repeatedly over time, covering topics with depth across multiple pieces of content. The brands appearing in AI responses are the ones showing up reliably, with enough consistency that AI systems can identify them as authoritative sources on a given subject.
That consistency extends to tone, values, and quality. When a social post and a website page address the same topic with the same level of substance and in a similar voice, the brand builds a coherent picture for anyone who discovers it across multiple places.
A social media content strategy built on the same principles as the wider brand supports search visibility, contributes to AI citation, and maintains the brand impression regardless of where a customer finds it first. It also emphasises the importance of ensuring all profiles and content for social media and your website are consistent, to maintain that trust with an audience.
Organisations that demonstrate that consistency throughout their online content build the kind of trust that converts.
Where does this leave a social media content strategy?
The platform-specific guidance above for social media SEO addresses the steps for Reddit, LinkedIn, YouTube, and Instagram individually. Across all of them, there are a few broader principles businesses can apply.
1. Treat captions as content
The first line of a social media post caption now functions similarly to a webpage title in search results. Captions should answer specific questions, include relevant search terms, and provide value to someone finding the content without any prior context.
2. Audit historical content
Instagram indexing reaches back to January 2020. Content posted years ago, intended only for a social audience at the time, may now appear in Google search results. This means that reviewing past posts for accuracy, tone, and relevance is time well spent.
For more on content optimisation, this blog post highlights some key actions you can take.
3. Align social media and website strategy
Social media strategy and SEO strategy now work towards the same goal. A business whose website communicates one thing while its social content communicates another creates inconsistency that undermines the impact of both. Content planning across channels should operate from the same principles, positioning, voice, and understanding of the audience.
The businesses that perform well in this environment will be those treating every piece of social media content as something that could be someone’s introduction to the brand. Increasingly, it will be. By following the practices outlined in this post, you’re allowing your digital assets to work harder for your business.
If thinking through what this means for a content or social media SEO strategy, let’s chat further.
Keyword Glossary
For more guidance on the terms and phrases used throughout this post, read through our glossary below.
AI search – Search engines and tools, such as ChatGPT, Perplexity, and Google’s AI Mode, that generate direct answers to queries using artificial intelligence, drawing on indexed web and social media content rather than simply returning a list of links.
AI citation – When an AI search tool references or echoes a specific piece of content in its response. Being cited means the AI has identified that content as authoritative and relevant to a user’s query.
Algorithm – A set of rules used by search engines and social media platforms to decide which content to show, to whom, and in what order. Algorithms on platforms like Google and Instagram reward content that demonstrates relevance, quality, and consistency.
Engagement metrics – Measurements of how audiences interact with content on social media, including likes, comments, shares, and reactions. Research shows that high engagement does not reliably predict whether content will be cited by AI tools.
Evergreen content – Content that remains useful and relevant over an extended period, addressing questions or topics that do not become quickly outdated. Evergreen posts have greater long-term search value than content tied to trends or time-sensitive news.
Facebook – A social media platform owned by Meta, used by individuals and businesses to share updates, images, video, and events. Facebook content from public professional pages is indexed by search engines and contributes to a brand’s overall online presence.
Instagram – A visual social media platform owned by Meta, used for sharing images, short-form video (Reels), carousels, and Stories.
Indexing – The process by which search engines such as Google crawl and store web content so it can appear in search results.
LinkedIn – A professional social media platform used for networking, industry discussion, and business content. LinkedIn is the most-cited social platform for B2B queries in AI search responses, with long-form articles and original posts from both individuals and company pages performing particularly well in AI citation.
Reddit – A social platform organised into topic-based communities known as subreddits, where users share content, ask questions, and discuss ideas. Participation works best through individual voices rather than company accounts.
Search visibility – How prominently a piece of content or a brand appears in search engine results. Strong search visibility means content surfaces consistently and in relevant positions when users search for related topics.
Semantic similarity – A measure of how closely the meaning of two pieces of text align. A semantic similarity score of 0.57–0.60, as identified in Semrush’s LinkedIn research, indicates that AI responses closely mirror the phrasing and intent of the original content they take from.
Social media SEO – The practice of optimising social media content so it performs well in search engine results and AI-generated responses, as well as within social platforms themselves. This includes writing captions that answer specific questions, using relevant search terms, and maintaining consistency across platforms.
YouTube – A video-sharing platform owned by Google, used for publishing long-form and short-form video content. As a Google-owned product, it also integrates directly with Google Search, making it a valuable platform for both AI visibility and broader SEO.