Understanding AEO and Its Importance
In the latest episode of Workfluencer, Rhona Barnett-Pierce delves into the world of Answer Engine Optimization (AEO) with Kaleigh Moore, an expert in helping brands gain visibility in AI-generated answers. Moore, who has worked with major companies like Shopify and IBM, emphasizes that AEO is the next evolution of SEO, focusing on helping brands show up in AI answers. She explains, "AEO to me, answer engine optimization, is essentially the science of helping brands show up in AI answers." > AEO to me, answer engine optimization, is essentially the science of helping brands show up in AI answers. — Kaleigh Moore
The Role of Expertise Over Follower Count
A key takeaway from the discussion is the shift from prioritizing large follower counts to valuing niche expertise. Moore notes, "If you are a person with a very specific swim lane focus niche, the thing that you talk about, it's very specific. It's sticky." > If you are a person with a very specific swim lane focus niche, the thing that you talk about, it's very specific. It's sticky. — Kaleigh Moore This approach is crucial as AI engines evaluate sources based on expertise, much like human reporters do.
Strategies for Building AI Visibility
For brands looking to improve their AEO, Moore suggests starting with an audit to understand current visibility and focusing on specific language models like ChatGPT or Google AI. She advises, "Pick one or maybe two LLMs, whether it's chat, GPT and Google AI overviews, figure out what you want to focus on and then start doing the audit." > Pick one or maybe two LLMs, whether it's chat, GPT and Google AI overviews, figure out what you want to focus on and then start doing the audit. — Kaleigh Moore This helps brands identify where they stand and what areas need improvement.
Challenges and Opportunities in AEO
Moore acknowledges the challenges in measuring the success of AEO efforts, citing the difficulty in tracking metrics like share of voice and mentions. However, she encourages brands to view AEO as a long-term strategy, recommending a 12-month period for experimentation and learning. "It is a moving target. It is not a static set of metrics that you can check once a quarter and be like, yay or boo," she explains. > It is a moving target. It is not a static set of metrics that you can check once a quarter and be like, yay or boo. — Kaleigh Moore
Overall, the episode provides valuable insights into how brands can leverage their niche expertise to gain AI visibility, emphasizing the importance of strategic content creation and long-term commitment.
