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Research, field notes, and practical guidance for improving how AI engines understand and cite your brand.
View every articleWhat is AI search optimization and why does it matter for your business?
AI search optimization is the practice of making your brand visible and accurately represented when AI engines like ChatGPT, Perplexity, Gemini, and Claude generate answers to user queries.
How do I manually audit my brand's visibility across ChatGPT, Perplexity, Gemini, and Claude?
Run a structured query set across all four engines—direct brand questions, category comparisons, and problem-solution prompts—then document which engines cite your brand, where citations appear in responses, and which source URLs they reference.
How do you get your website cited in AI search results like ChatGPT and Perplexity?
Getting cited in AI search results requires four elements: structured content that AI engines can parse, clear entity definitions that establish your authority, source signals that build trust, and verification systems that confirm visibility across platforms.
How do you monitor your brand's visibility in AI search engines like ChatGPT, Perplexity, Gemini, and Claude?
You monitor your brand's visibility in AI search engines by establishing a baseline across all four major platforms (ChatGPT, Perplexity, Gemini, and Claude) using either manual query testing or automated monitoring tools that track both live search responses and training data citations.
How do SaaS companies get cited in AI responses for solution comparison queries?
SaaS companies get cited in AI comparison responses by structuring content around feature matrices, use case segmentation, and comparison-optimized page architecture that answer engines can parse and extract when synthesizing 'best [category] software' answers.
How do AI search engines like ChatGPT and Perplexity decide which websites to cite?
AI search engines cite websites based on a combination of domain authority, semantic relevance, content freshness, and structured data signals—with each engine weighting these factors differently based on whether they're pulling from live web search or training data.
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