Overview of the AEO Space
The use of large language models (LLMs) and AI-powered search engines has grown significantly, resulting in a surge of interest in Answer Engine Optimization (AEO). With platforms like ChatGPT now featuring clickable links, maps, and other search elements, businesses are experiencing increased referral traffic from AI-driven answers. This trend has led to a dramatic rise in demand for AEO, and over 50 companies have emerged to build AEO tools that help businesses optimize their visibility in AI-generated answers.
Key Features of AEO Tools
Most AEO tools focus on tracking how AI models include and reference brands or websites in their answers. While the primary feature across all tools is AI answer tracking, some tools are beginning to add functionalities such as:
- Optimization tools: Early-stage features aimed at improving brand placement in AI answers.
- Brand analysis: Tools to measure brand visibility and reputation in AI-generated content.
- Citation measurement: Features tracking frequency and quality of citations from AI engines.
Note: The optimization and advanced features are still in early development, and tracking capabilities remain the core value offered by most AEO tools.
Recommendations for Selecting AEO Tools
- Prioritize AI Tracking: The most critical feature currently is the ability to track mentions and performance in AI answers.
- Choose Cost-effectively: Opt for the least expensive tool that meets your essential tracking needs, as advanced features are still evolving.
- Monitor Tool Evolution: As AEO tools develop more sophisticated optimization and analytics features, reassess whether these new capabilities justify switching tools or paying more.
Additional Resources and Participation
- For more detailed guidance, see the Guide To AEO by Graphite.
- A master list of AEO tool companies, including those that have raised venture capital, is being compiled to assist with selection.
- Companies developing AEO tools can submit their information to be included in the list.