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Commissioning original research is highly effective for GEO because AI search prioritizes new, different, and citable content. The resulting data not only ranks well but also attracts media mentions and can be repurposed for podcasts and other content, maximizing ROI.
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As AI commoditizes content creation, the most valuable asset is unique, proprietary data that LLMs cannot access. Marketing teams that own the research function can generate this first-party data, creating a defensible moat and establishing true thought leadership.
As users increasingly get news from AI like ChatGPT, traditional SEO is evolving into "GEO" (Generative Engine Optimization). Platforms must now be designed to get a company's narrative cited by large language models, ensuring visibility in this new wave of information discovery.
AI-generated content is often generic because it's based on existing information. To stand out and be cited by AI Answer Engines, brands must provide unique data, research, or expert knowledge that doesn't already exist. Generic AI content will make you sound like everyone else and hurt you long-term.
AI-driven search (GEO/AEO) prioritizes recent, authentic signals like Reddit discussions, PR clips, and reviews over long-standing domain authority. This levels the playing field, allowing challenger brands to gain visibility against market leaders who traditionally dominated SEO with massive content libraries.
Instead of using AI solely for content generation, use it for research. Identify the sources that tools like Perplexity and ChatGPT cite on a topic, then incorporate and reference those same sources in your article. This signals to AI models that your content is a valuable, well-curated hub, improving its visibility.
To balance lead generation with AI search visibility, gate your full research report but heavily promote its key findings via PR. This allows LLMs to crawl and cite the public media mentions, boosting brand authority and driving traffic to the gated asset without sacrificing lead capture.
A single, in-depth original research report is a foundational pillar, not a one-off campaign. By consistently referencing its data and quotes in blog posts, social media, and podcasts, a single report can fuel the vast majority of a content team's output for 9-12 months, maximizing its ROI.
As users increasingly get answers from AI assistants, marketing strategy must evolve from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). This means creating diverse, authoritative content across multiple platforms (podcasts, PR, articles) with the goal of being cited as a trusted source by AI models themselves.
To combat generic AI content, load your raw original research data into a private AI model like a custom GPT. This transforms the AI from a general writer into a proprietary research partner that can instantly surface relevant stats, quotes, and data points to support any new piece of content you create.
In the era of zero-click AI search, driving website traffic is less important than being cited as an authority within LLM responses. Marketers must now optimize content to appear in places like Reddit and G2, as these are the sources AI models use to formulate answers and build credibility.
