Getting Your Brand Cited by ChatGPT, Gemini and AI Overviews

 

Getting Your Brand Cited by ChatGPT, Gemini and AI Overviews

Buyers have quietly changed how they research. Instead of scanning ten blue links, they ask ChatGPT for a shortlist, check Google's AI Overview before clicking, or let Perplexity summarise the options. In each case an AI model decides which brands get named — and if yours isn't in that answer, you're invisible at the exact moment someone is choosing.

That is the real problem AI search optimisation solves: not chasing a keyword ranking, but making sure language models understand who you are, what you do, and why you're a credible answer. It's less about tricks and more about being machine-legible and genuinely authoritative.

Good work usually looks unglamorous. It starts with an audit of what the AI engines currently say about you — often wrong, outdated, or blank. Then it fixes the plumbing: clean structured data, a consistent entity across your site, Wikipedia, LinkedIn and directories, and content written to answer real questions directly rather than bury the answer under 800 words of preamble. Models reward clarity, specificity, and corroboration across independent sources.

Two honest signals of quality. First, whether the work is measured — can they show your brand appearing in actual AI responses over time, not just a slide of jargon? Second, restraint: anyone promising guaranteed placement in ChatGPT is bluffing, because no one controls model outputs. Real practitioners improve your odds; they don't sell certainties. The most common mistake is treating this as classic SEO with a new label and ignoring entity and citation signals entirely.

If AI-driven discovery is starting to matter for your category, it's worth understanding where you stand before a competitor gets there first.

AI search optimisation — https://dcrayons.app/services/ai-search-optimisation

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