Everyone's talking about Generative Engine Optimization (GEO). Few are explaining how to actually do it.
Here's what most articles get wrong: they tell you earned media matters for AI search, then offer zero tactical guidance on how to optimize it. "Get mentioned in credible publications" isn't a strategy—it's a platitude.
This guide is different. We'll break down exactly how to structure earned media placements so AI systems cite and recommend your brand.
Before the tactics, let's understand why this matters.
Research from Muck Rack's Generative Pulse study found that 85.5% of AI-generated citations come from earned media—not paid ads, not owned content. When ChatGPT, Perplexity, or Gemini recommend a product or answer a question, they're pulling from third-party editorial coverage.
This creates a fundamental shift in visibility strategy:
The brands that invested in PR over the past 3-5 years are now being recommended by AI. The brands that didn't are invisible—no matter how good their on-page SEO is.
Not all media coverage is equal for GEO. AI systems weight sources by authority, and that authority varies by topic.
Action: Identify which publications AI cites for your category.
How to do it:
For B2B tech, we typically see: TechCrunch, Forbes, Business Insider, VentureBeat, and industry-specific trade publications.
The insight: A placement in a publication AI cites is worth 10x more than coverage in an outlet it ignores.
AI systems match user queries to content. Your earned media headlines need to align with how people actually search.
Action: Before pitching, research how your target audience phrases questions.
Example transformation:
The second headline matches queries like "how to solve [problem]" and "best [solution] companies."
AI systems love extractable facts. The more concrete data points in your coverage, the more likely AI will cite it.
Action: Seed every placement with quotable statistics and specific claims.
Strong data points:
Why this works: When someone asks "what's the best way to [do something]," AI systems look for specific, citable answers—not vague claims.
AI systems build "entity profiles" of brands by aggregating information across sources. Inconsistencies confuse them and reduce citation likelihood. (See also: Ai search traffic worth 10x google traffic) (See also: How to prove pr roi beyond vanity metrics)
Action: Audit your brand mentions for consistency.
Check these elements across all coverage:
Common mistake: Your website says "AI-powered analytics platform" but press coverage says "machine learning dashboard tool." AI systems see these as potentially different entities. (See also: How to get cited in ai search earned media strategy)
One placement doesn't establish authority. AI systems look for consistent expertise signals across multiple sources on the same topic.
Action: Plan earned media campaigns around topic clusters, not one-off placements.
Example cluster for a cybersecurity company:
The compounding effect: After 3-4 placements on the same topic, AI systems start associating your brand with that expertise area. You become the default citation.
AI systems weight recent content more heavily for time-sensitive queries. Your earned media strategy needs a recency component.
Action: Maintain a consistent cadence of coverage, not just occasional spikes.
Recommended frequency:
Why this matters: If your last major coverage was 18 months ago, AI systems may deprioritize you for current queries—even if that old coverage was excellent.
You can't optimize what you don't measure. Track when and how AI systems cite your brand.
Action: Set up an AI citation monitoring system.
Manual monitoring:
Iterate: Double down on what's getting cited. Adjust strategy for queries where competitors appear but you don't.
AI systems frequently cite authoritative publications like TechCrunch, Forbes, Business Insider, VentureBeat, and industry-specific trade publications for B2B tech topics. These sources are often favored due to their perceived credibility and comprehensive coverage.
To identify which publications AI cites, ask ChatGPT, Perplexity, and Gemini questions your target customers would ask. Note the publications that appear in the citations, and cross-reference them with your existing media targets to prioritize outreach.
Earned media is crucial for GEO because AI systems like ChatGPT and Gemini primarily pull information from third-party editorial coverage when recommending products or answering questions. This makes earned media a fundamental driver of AI visibility.
Incorporate quotable statistics, such as percentages and growth metrics (e.g., "reduced costs by 47%"), comparative claims (e.g., "3x faster than alternatives"), and industry benchmarks. Also, include named methodologies (e.g., "using our proprietary [Name] framework") to provide AI systems with specific, citable information.
Optimize headlines by researching how your target audience phrases their questions and then aligning your headlines accordingly. For example, transform a generic headline like "Company X Raises $50M Series B" into a query-optimized version like "How Company X Is Solving [Specific Problem]: Inside Their $50M Growth Strategy."
GEO isn't about gaming AI systems—it's about building genuine authority that AI systems recognize and reward.
The brands winning in AI search aren't using tricks. They're systematically building credibility through strategic earned media, consistent messaging, and continuous optimization.
The tactical playbook above gives you the framework. The execution is up to you.