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From the Blog:
LLM Indexing Is the New PR
AI has pushed your brand’s visibility needs beyond traditional PR methods. LLMs form opinions based on available information, and if you don’t take charge of your narrative, you risk misrepresentation. Learn how to build an authority graph and utilize structured data to ensure your brand is visible and referenced by systems that shape public perception. Your new PR approach starts now—make your brand stand out.
14 Ways to Train AI on Your Brand
To unlock the potential of AI in elevating your brand, you’ll need to create clear, credible, and comprehensive content that not only attracts AI but also builds trust with your audience. From structuring your website for optimal crawling to engaging on high-authority platforms, learn the essential strategies to ensure your brand stands out. Dive into the importance of maintaining up-to-date information and monitoring AI citations to refine your approach. Ready to enhance your brand’s visibility and credibility in the digital landscape? Read on to explore actionable insights that can transform your content strategy!
How to Train AI to Reference, Cite, and Crawl Your Brand
In AI-driven search, your brand’s visibility hinges on more than just traditional SEO tactics. You need to be a recognizable entity that machines can reference. If your brand lacks structured data, consistent naming, or a presence in trusted sources, you risk being overlooked or misrepresented. This is where reference engineering comes into play—transforming how your brand is perceived by AI. Discover how to build a robust identity that not only gets cited but also stands out in the crowded digital space. Don’t let your brand fade into the background; learn how to make it referenceable.
The New SEO Stack: Schema, Entities, and Answerability
SEO isn’t SEO anymore. It’s something else and the shift from keywords to entities is transforming how we approach content altogether. It’s no longer about matching phrases; it’s about clarity and structure that resonate with AI systems. Schema and answerability are redefining visibility and the meaning of “search results.” Your product pages must function as data objects, and internal linking is crucial for contextual signals. As we transition to Answer Engine Optimization (AEO), understanding how to make your content machine-readable is essential. Take a brief dive into the new rules of engagement and learn how to ensure your content is not just seen, but sourced.
AI Killed the Marketing Funnel
The classic marketing funnel is dead weight in an AI-powered ecosystem. Today’s buyer journey loops, pivots, and doubles back, driven by real-time engagement signals. AI doesn’t just optimize the funnel; it overwrites it, creating feedback loops that adapt to user behavior. Discovery is no longer triggered by a search; it’s predicted by patterns in micro-interactions. This shift from search to suggestion changes everything. Marketers must now optimize for contextual resonance, ensuring they’re present before users even realize they’re in-market. Explore how this new suggestive ecosystem transforms awareness, consideration, and conversion into a continuous cycle of engagement and retention.
Why Structured Data Breaks — And Why Most Teams Miss It
From invalid JSON-LD syntax to conflicting schema blocks, structured data problems often go undetected, leading to automated disqualifications from rich results. Discover why structured data failures are so common and learn how to effectively audit your pages to ensure they meet Google’s evolving requirements. Read on to find out more.
