How to grow your AEO function (without losing your mind)
Blog post from PostHog
Over the past few years, the evolution from traditional Search Engine Optimization (SEO) to Artificial Intelligence Optimization (AEO) has been significant, with the latter involving optimizing content for AI models to increase visibility in AI-generated recommendations. The shift is evidenced by PostHog's remarkable growth in LLM-referred traffic, highlighting the effectiveness of AEO strategies. Despite this success, challenges remain, such as ensuring all product offerings are equally recognized by AI models. The author emphasizes maintaining foundational SEO practices while adapting content for AI consumption, advocating for a focus on quality and specificity in content creation. They stress the importance of being honest in evaluating AEO results, integrating user feedback directly into strategy, and fostering peer learning to navigate the uncertainties of this emerging field. The narrative underscores the need for adaptability and strategic content management in the face of evolving AI technologies.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 6 | 9,814 | 1,776 | 243 | +42% |
| Real-time | 2 | 6,790 | 1,736 | 269 | -9% |
| MCP | 1 | 7,755 | 814 | 203 | -3% |
| Observability | 1 | 3,670 | 768 | 196 | -25% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.