Definition

    What are AI search engines?

    The new front door to research and decision making. A plain-English guide to ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, and what they mean for your brand.

    AI search engines are generative systems, including ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, that answer user questions directly by combining language models with live web retrieval.

    Answers, not links.

    The engines that matter

    • 1.ChatGPT. The largest by audience. Combines training data with Bing retrieval. Conservative on citations, generous on summaries.
    • 2.Perplexity. Retrieval-first. Cites sources prominently. Leads with research-heavy buyers.
    • 3.Claude. Increasingly cited in B2B and technical categories. Strong long-form reasoning, growing retrieval coverage.
    • 4.Gemini. Tight integration with Google. Matters wherever your audience lives in the Google ecosystem.
    • 5.Google AI Overviews. Generative answers stitched on top of classic Google results. Leans heavily on top organic content.

    What this means for brands

    When buyers ask an AI engine for a recommendation, they see two or three named brands and a short answer. The blue link page is gone. If you are not in the answer, you are not in the conversation.

    The fundamentals that earn citations are consistent across engines: entity clarity, structured data, atomic answers, factual alignment, and trusted references. Optimise once for those, measure across engines, refine over months.

    Frequently asked questions

    An AI search engine is a generative system that answers questions directly, often by combining a large language model with live web retrieval, rather than returning a ranked list of links. ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews are the leading examples.

    Each engine combines its training data with live retrieval, then weights sources by trust, structural clarity, factual consistency, and relevance to the prompt. Brands with clean entity signals, structured data, and references from trusted sources get cited more often.

    ChatGPT and Google AI Overviews lead by audience size. Perplexity leads for research-heavy buyers. Claude is increasingly cited in B2B and technical categories. Gemini matters for anyone whose audience is deep in Google's ecosystem. Microsoft Copilot follows a similar pattern to ChatGPT.

    No. ChatGPT uses Bing for live retrieval. Perplexity runs its own retrieval stack. Google AI Overviews uses Google. Claude and Gemini each have their own configurations. The implication: if you are crawl-blocked on one, you are invisible on it, regardless of how strong your brand looks on others.

    Yes, via robots.txt directives for each AI crawler. But blocking trades long-term visibility for short-term content control. Most established brands explicitly allow the major AI crawlers because being absent from answers is far costlier than being summarised inside them.

    Optimise the fundamentals once: clean entity, structured data, atomic answers, consistent facts, trusted references. The signals overlap heavily across engines, so well-structured work moves your visibility on all of them. Tune later for engine-specific behaviour.