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Frequently asked questions

FAQ

Frequently asked questions

To understand how to audit your AEO strategy, read:

  • Your brand's inclusion and placement in AI answers
  • Considerations for structured data quality
  • User sentiment
  • Performance in voice and zero-click search contexts

The future of SEO is being determined by AI-powered search. AEO is crucial to that future, as search engines transition from presenting blue links to providing direct, conversational responses.

To measure AEO performance, track:

  • Visibility in AI-generated responses
  • Brand perception in such responses
  • Your position or significance in the LLM answers

Traditional SEO metrics like as ranks and click-through rates may not accurately reflect the AEO strategy effectiveness. AEO is measured by visibility in AI responses, sentiment, and presence in non-clickable formats—metrics that SEO does not typically consider.

Begin with a small, clearly defined problem , like automating a repetitive task or improving a customer-facing workflow. Choose a solution that aligns with your current tech stack, run a pilot, and evaluate the results before scaling.

To a degree. Many AIaaS tools are configurable or offer training options for your specific data, but there are limits to how much you can customize prebuilt models. If your needs are highly specialized, consider platforms that support custom model training.

That depends on the provider. Reputable platforms from Google, Amazon, and Microsoft offer robust security and compliance features, but you should still review their data handling policies, storage practices, and regional compliance (e.g., GDPR, HIPAA) before committing.

Not necessarily. Many AIaaS tools are designed for non-technical users, with simple APIs or no-code interfaces. However, for more advanced use cases, having a developer or analyst to handle integration and interpretation can help unlock greater value.

AIaaS is designed to be scalable and accessible, making it especially valuable for small and mid-sized businesses. You can start with low-risk, pay-as-you-go models and expand as your needs grow , without the overhead of building AI in-house.

Yes. We offer full operational support, including 24/7 monitoring, performance optimization, and regular updates. Clients often retain us for ongoing content updates, AI feature drops, and long-term strategic support.