Aja Frost: AI Search, Content Strategy & AEO Metrics for Success
▼ Summary
– HubSpot has adopted “AEO” (answer engine optimization) as their term for optimizing content to appear in AI-generated answers, focusing on being part of the solution rather than just ranking in search results.
– AEO strategy involves creating hyper-specific, persona-focused content, adapting technical approaches for AI bots, and emphasizing brand mentions on platforms like YouTube and Reddit over traditional backlinks.
– Success metrics for AEO prioritize visibility and share of voice over direct traffic, as these better predict long-term conversions and account for algorithmic changes in AI engines.
– HubSpot’s experimental approach includes daily team meetings, weekly tests, and scaling data-rich content with AI assistance, while maintaining a focus on user-centric quality.
– Traffic from LLMs converts about three times better than traditional search traffic for HubSpot, indicating higher user intent and readiness to convert despite lower volume.
The rise of AI-driven search and Google’s AI Overviews is fundamentally transforming how businesses approach content strategy and search visibility. Answer Engine Optimization (AEO) is emerging as a critical discipline, focusing on delivering precise, user-centric answers within AI-generated responses. In a recent discussion, Aja Frost, Senior Director of Global Growth and Paid Media at HubSpot, shared insights into how her team is navigating this shift, redefining success metrics, and experimenting with new content and technical approaches.
Frost explained that HubSpot has adopted the term AEO internally because it best reflects the goal of becoming part of the answer in AI-driven interactions. Unlike traditional SEO, which focused on ranking in search results, AEO centers on providing valuable, specific responses tailored to user queries. This evolution retains the core principle of prioritizing the customer’s needs but requires new tactics and measurement strategies.
When it comes to visibility and strategy, Frost emphasized that AEO builds on familiar SEO categories, content, technical, and offsite efforts, but executes them differently. Content for AEO is far more niche and data-rich, designed to address highly specific user scenarios. Technical adjustments ensure content is properly structured for AI ingestion without harming traditional search performance. Offsite efforts have shifted toward earning positive brand mentions on platforms like YouTube and Reddit, which are key training sources for AI models, rather than solely pursuing backlinks.
Success in AEO is measured through new metrics. Visibility and share of voice have become primary indicators, as they more accurately reflect influence in AI environments than raw traffic numbers. Frost noted that while citations, being cited as a source in AI answers, are valuable, overemphasizing them can limit broader visibility. At HubSpot, traffic from large language models (LLMs) converts about three times better than traditional search traffic, indicating higher user intent and readiness.
Experimentation has been central to HubSpot’s AEO journey. Frost’s team began by forming a small, agile group dedicated to launching weekly tests. They focused on scaling production of hyper-specific, persona-driven content, often created with AI assistance and human oversight, and ensuring pages were semantically complete and well-structured. They also prioritized enhancing their presence on YouTube through owned channels and creator partnerships, and on Reddit by actively engaging and moderating community discussions to foster organic advocacy.
Looking ahead, Frost believes AEO and SEO will merge further as AI becomes integral to more search experiences. She encourages marketers to start with simple experiments, such as using query fan-out tools to identify and address gaps in existing content. For those ready to dive deeper, developing highly targeted, persona-based pages can provide significant learning and visibility gains.
Frost also highlighted HubSpot’s Loop Marketing framework, which offers a structured approach for thriving in the AI era through phases like Express, Tailor, Amplify, and Evolve. This model acknowledges the non-linear, dynamic nature of modern customer journeys and provides actionable plays for adapting to ongoing changes in search and content consumption.
(Source: Search Engine Land)
