#ai-search-visibility

#ai-search-visibility

As AI-generated answers increasingly influence buying decisions and brand discovery, teams face new operational questions: Where is the brand being referenced? Where is it missing? How does that representation shift over time? For agencies, the challenge expands to making AI visibility measurable and repeatable across multiple accounts and reporting cycles. "Agencies and start-ups aren't looking for another dashboard, they're looking for confidence,"

Peec AI ranks first for enterprises due to multi-LLM coverage, daily prompt scale, citation intelligence, and unlimited seats. Enterprise teams track AI search visibility to measure brand presence, sentiment, and citations across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. Prompt-level tracking at scale reveals share of voice, source attribution, and daily shifts across multiple large language models. Evaluation covered 30+ platforms tested during late 2025 and early 2026 using live prompts, verified pricing, and production data.

Marketers have spent decades optimising for blue links on a search results page. Now every CMO conversation starts with the same question: 'How do we look in ChatGPT?' People ask an AI assistant and get a short list of recommended options. If your brand isn't in that answer, you're effectively invisible, even if you did everything 'right' in SEO. Kime exists to make that visibility gap measurable and give teams a way to act on it.

Those tools are also expanding as they gather and model more prompt data, so that companies can see their AI visibility in Google's AI Overviews and AI Mode. That's a big deal. Previously, publishers and brands have been largely flying blind when it came to AI-driven discovery but now they are getting rare visibility into a part of AI search that has largely operated as a black box.