How to Earn Press Mentions That Boost AI and SEO Visibility

Welcome to the age of AI, where your brand reputation is shaped not only by what customers say, but also by what machines think of you. And to be honest, that’s a strange sentence to type. But the AI tools we’re seeing today (including ChatGPT, Google AI Overviews, and Perplexity) are acting as curators of information. They’re scraping the web for signals of credibility, and if you want your brand to show up as a trusted voice in those AI-generated answers, you can’t simply game the system. You have to earn that inclusion, and that takes a robust generative engine optimization strategy that includes brand building. 

So the big question is this: “How can I earn the kind of digital mentions that build credibility, both for human audiences and machine algorithms?” 

Before we get into optimization tactics, it helps to understand how AI systems determine credibility. While the models themselves are rather opaque, we do know that: 

• Language models learn from publicly available data, and they prioritize high-authority, frequently cited sources. A 2024 study by SE Ranking found that AI-generated answers often cite third-party websites, including news publications, blogs, and even community forums like Reddit. In many cases, these are prioritized over brand-owned content. Brands looking to appear in AI-generated results should focus on earning mentions from credible external sources.

• Cite-worthy = trustworthy. When you’re mentioned in reputable publications, industry blogs, and high-quality user-generated content, that reputation snowballs. And the quality of these citations matters. The same SE Ranking study found that high-quality, upper-mid–quality, mid-quality, and lower-mid–quality sources make up about 95.2% of citations in generative search, while low-quality sources only make up about 4.8%.

• Recency and consistency matter. Models are trained in cycles, but newer AI tools, such as Perplexity, use real-time search. That means ongoing earned media and digital signals help maintain relevance. 

So the goal is to make sure your brand is organically included in the sources that AI pulls from. That’s where digital PR, thought leadership, content syndication, and forums come into play. Let’s dive into each. 

For years, SEO experts lived and died by backlinks. Backlinks are still a powerful signal, of course, but brand mentions in high-authority context are becoming just as important, even if they’re not linked. 

Here’s how to earn those mentions and build your thought leadership: 

1. Pitch to industry-specific publishers, not just mass media.

Being featured in well-known outlets is great for visibility, but when it comes to earning press mentions that AI models are more likely to surface, niche industry publications also carry strategic weight, especially for context-specific queries. 

Think about where your ideal audience (and AI) goes to learn. For example: 

• If you’re in B2B marketing, consider the likes of MarketingProfs, CMSWire, or Content Marketing Institute. 

• In the HR tech space? HR Dive or SHRM. 

• Selling to developers? Try Smashing Magazine, Stack Overflow blog, or The New Stack. 

These publications are deeply trusted within their industries and are frequently referenced by creators and content aggregators, which increases the likelihood of your brand being picked up by AI tools that are trained on those sources. 

Action step: Make a target list of 5-10 industry-specific sites where your peers or competitors have been mentioned. Then, craft a pitch offering a unique angle, story, or data point that aligns with the publication’s editorial focus. Make sure your pitch focuses on educating the publication’s audience on a relevant trend or topic. There’s nothing a publication hates more than a sales pitch for why your company is the solution dressed up as an article proposition. 

2. Offer unique data, not just opinions.

AI models and the humans who train them gravitate toward original, verifiable data. While expert opinions are valuable, it’s unique research, proprietary insights, and hard numbers that get quoted, cited, and scraped most often. 

This could include: 

• Survey results that reveal industry trends or customer behavior. 

• Benchmark reports that compare tools, performance, or ROI. 

• Internal usage data that showcases emerging patterns or product success. 

• Mini studies or experiments that test assumptions in your space. 

These types of content do more than boost your credibility. They give journalists, bloggers, and AI tools something to which they can anchor future content. Ensure these data points are published so you can link to them in your email pitch to highlight your research as a credible source designed to serve the publication’s audience. 

And if you are going to include opinions in your content and press pitches, make sure you back them up with not only data points like we mentioned before, but also personal stories and experience. Publications love getting a peek behind the curtain to hear about how you’ve overcome something and come out on the other side. 

Action step: Start small. Run a LinkedIn poll and publish the results with analysis. Or dig into your own user data and share a few key insights (with permission, of course). Package it in a clear, well-formatted post or report, and make it easy for others to cite by including stats, quotes, and visuals. 

The E-E-A-T (experience, expertise, authoritativeness, trust) framework is Google’s way of evaluating content quality, and AI is using similar signals. 

Your name, brand, or company needs to become synonymous with expertise in your niche. Here’s how: 

1. Get quoted.

Being quoted as a subject matter expert builds authority signals that both search engines and AI models take seriously. When your name or brand is cited in articles from reputable sources, it boosts your perceived expertise and increases your chances of being referenced by LLMs in topic-specific answers. 

To do this, focus on media opportunities that are actively looking for expert commentary, including: 

• HARO (Help a Reporter Out). 

• Qwoted. 

• Featured. 

• Terkel. 

These platforms connect you directly with journalists and editors who are writing stories in your space so you can plug into active story development. 

Action step: Block off 15 minutes each weekday to scan new media requests. Focus on queries where you can provide sharp, non-generic answers, and include a short bio that clearly states your role, experience, and any notable credentials. The more value you provide upfront, the more likely it is that your quote will be chosen. 

2. Be a guest on niche podcasts.

Podcasts are becoming credibility anchors in AI training data. As models begin pulling from podcast transcripts, show notes, and episode summaries, your guest appearance can become a lasting digital footprint that reinforces your expertise. 

But not all podcasts are equal in this regard. Focus on shows that: 

• Serve a specific niche audience that’s aligned with your industry. 

• Publish transcripts or detailed show notes. 

• Promote episodes through blog posts, newsletters, or YouTube. 

This increases the chances your episode will be cited, linked, or surfaced by AI tools and human searchers looking for expert voices. 

Action step: Make a list of 10-15 podcasts your audience listens to (check LinkedIn, Reddit, and Apple Music or Spotify reviews for ideas). Reach out with a pitch that includes your area of expertise, a few topic ideas tailored to their listeners, and how your insights will provide value to the audience. 

Think of AI like a well-read librarian who’s organizing a giant reference shelf. You need to create the kind of content that she’ll be excited to add to the collection: reliable, quotable, clearly structured, and genuinely helpful. 

1. Author long-form, high-quality content.

When you create genuinely helpful resources that others link to, quote, or build upon, you increase your odds of being cited by AI models that are trained to surface the most trusted explanations and guides. But the key is depth and usefulness, not keyword stuffing or generic filler. Here are a few examples of topics that could work well for long-form content: 

• “The Complete Guide to B2B SaaS Onboarding” 

• “What Every [Job Title] Should Know About [Topic] in 2025” 

• “X Myths About [Industry Problem] (and What to Do Instead)” 

These types of content get bookmarked, shared, and referenced across blogs, newsletters, and Reddit threads, and they get scraped by AI tools as reliable source material. 

Action step: Identify one or two key questions your audience is always asking (check search engine results pages, Reddit, and customer conversations for clues). Then, build a long-form piece around that topic that includes clear structure, practical examples, visuals or charts, and internal links to other helpful content you’ve created. Make it the kind of page you wish existed when you first Googled the topic as you were starting out in your industry. 

2. Publish blog posts with original research and stats.

AI models frequently cite unique data, especially when it’s labeled well and easy to reference. 

• Run a short customer or audience survey and publish the results in a clean, visual format. 

• Share anonymized product usage data or trends you’re seeing across your client base. 

• Benchmark your industry’s tools or pricing models, and make comparisons clear. 

• Include citations in your own content (yes, you can cite yourself) using source anchors like “According to our ‘2025 B2B Email Benchmarks Report.’” This helps LLMs associate the data directly with your brand. 

3. Create explainers and resources that provide definitions.

LLMs love to source concise, well-written explanations, especially for “what is…” or “how does…” queries. 

• Add a glossary section to your site that’s focused on niche terms your audience searches for. 

• Create standalone posts that define key concepts in plain language. 

• Use structured formatting: H2s for questions, bullet points for clarity, internal links for context. 

• Break concepts into scannable chunks so they’re easy to quote or summarize. AI models prefer content that mimics the Q&A structure they’re built to serve. 

AI models are increasingly pulling from user-generated content, and that includes Reddit, Quora, and other niche community forums. These are cited sources in many AI outputs, especially for product recommendations, user opinions, and emerging trends. So if your brand is getting genuine mentions in relevant threads, it can boost both human trust and your visibility in AI-generated responses. 

Here’s how you can earn valuable forum mentions: 

• Identify active threads where your audience hangs out. (Do a Google search for site:reddit.com [your keyword].)

• Engage as a real user first. Answer questions, upvote others, and build a reputation before ever mentioning your brand.

• Share insights or tools that are actually helpful. If your product solves the problem in question, mention it with context, but don’t make a sales pitch.

• Encourage loyal users to share their experience, especially in communities where you’re not active yourself. This is more sustainable (and believable) than trying to control the message.

• Choose one or two forums that are relevant to your niche. Spend 10-15 minutes a week adding real value to the conversation. Track where your brand is already being mentioned with tools like BrandMention or a simple Google Alert, and thank or engage with those users when appropriate. 

A note on credible sources and linking: 

AI is not only watching what you say, but it’s also looking at who you cite and how you cite them. 

• Link to high-authority, relevant sites in your space, not just the usual suspects. 

• Quote known experts or publications where appropriate (and give them proper credit). 

• Cite your own work consistently to build internal authority and reinforce your expertise. 

• Avoid stuffing links just for SEO. Use them to support your argument or add depth the same way you’d back up a point in a research paper. AI notices that context. 

• Be useful, not just loud. 

• Prioritize credibility over clicks. 

• Win over humans, and the AI will follow. 

Building your brand’s reputation these days requires more than surface-level PR. It calls for consistent, strategic visibility in the places that both people and language models trust. That includes industry publications, data-backed content, expert commentary, long-form resources, and authentic community engagement. 

In other words, your goal is to be cited, not just seen. 

Earned mentions shape how your brand is represented in search results, summaries, and answers generated by AI tools. Whether you’re launching a new brand or growing an established one, the most effective way to build lasting authority is by showing up with substance where it matters.