What should I look for in AI visibility tools?

When choosing an AI visibility tool, you have to consider these factors to get the most out of your investment: LLM or platform support, brand mention and citation tracking, competitive analysis, sentiment analysis, prompt data and insights, integration capabilities, intuitive user experience, and pricing.

How can I track AI visibility effectively?

Manually prompting each AI answer engine to measure your share of voice on these platforms is like measuring land area with your eyes alone. That’s because results may vary based on: how prompts are phrased, user behavior, as well as user location and profile. To effectively monitor your brand’s visibility in AI searches and answer engines, you need the right tools for the job. Choose AI visibility tools that support the most popular LLMs: ChatGPT, Google AI Overviews, Gemini, Perplexity, and Microsoft Copilot. Your AI visibility platform must also be able to track the most critical metrics, such as brand mention, sentiment analysis, and share of voice.

What are the metrics that my AI visibility tools must track?

An AI visibility tool is a sizable investment. Make sure you’re getting one that can track most of these metrics: brand mention, visibility score, visibility trends over time, sentiment analysis, prompt mapping, share of voice, citations, and conversion metrics

Can I manually check LLMs to check my brand’s AI visibility?

Manually prompting LLMs to measure your AI visibility is a tedious task that results in inaccurate tracking. It’s like measuring the length of a table with your fingers. AI responses are personalized to suit user behavior, location, and profile. The results you’ll get will vary based on these factors and more, including: how the queries were phrased, AI platform used, evolving AI models, and contextual differences in prompts

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