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Legacy keyword tracking tools were built for a search engine that returned ten blue links, so they measure rank position for isolated phrases — a proxy that has little bearing on how AI assistants actually work. ChatGPT, Claude, Gemini, Meta AI, Grok and DeepSeek don't match keywords; they interpret full-sentence buyer intent — 'who's the best-reviewed electrician near me for panel upgrades' — and synthesize an answer from whatever sources they judge authoritative. A visibility audit built for this reality probes the models directly with the buyer's real questions, then examines whether the business is cited, how it's described, and what's missing from the answer. That diagnostic then drives the actual fix: structured data, an llms.txt briefing, unblocked crawler access, and a knowledge graph entity that gives the models something authoritative to cite. Keyword rank is a rear-view mirror; prompt-level testing shows exactly what today's buyers are being told right now.
Invest in your AI Halo →Questions
No. Rank trackers query search engine result pages, not AI assistants, so they cannot detect whether a business is cited, summarized, or omitted when a model answers a buyer's question directly.
Asking the AI models the real, full-sentence questions a buyer would type — not keywords — then recording which businesses get named, how accurately they're described, and what authoritative sources the model appears to be drawing from.
AI models weigh structured data, citation authority, and crawler access, not keyword density. A business with weaker keyword rank but clean JSON-LD and unblocked bots can be cited more often than a page that merely ranks well in traditional search.
Proof & data
Most AI-visibility tools only watch — they report where you are absent and stop there. AI HALO does the work that changes the answer, then re-scans to prove it.
Measured live across ChatGPT · Claude · Gemini · Meta AI · Grok · DeepSeek — we ask the models your buyers’ real questions, before and after.
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