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AI HALO

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A quarterly competitor spreadsheet can't see what ChatGPT says about you this morning.

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Manual Competitor Tracking vs. Automated Real-Time Share of Voice Diagnostic Audits

Manual competitor tracking — a shared spreadsheet updated when someone remembers, screenshots of rival websites, a monthly review meeting — was built for a world where visibility changed slowly and a human could audit it by hand. AI assistants now answer buyer questions about your category in real time, and the mix of businesses they mention, the order, and the reasoning behind it can shift as models update or as competitors publish new structured data, all invisible to a spreadsheet that was last touched weeks ago. A proper share-of-voice diagnostic instead asks ChatGPT, Claude, Gemini, Meta AI, Grok, and DeepSeek the actual questions your buyers ask, right now, and records exactly who gets named, in what order, and why. That is the only way to see whether you are present in the answer at all — the modern equivalent of being on page one — and it is the diagnostic step that precedes any GEO work, because you cannot fix a visibility gap you have not measured directly against the live models.

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Questions

Answered.

How is an AI share-of-voice audit different from tracking search engine rankings?+

Search rankings show where a URL sits in a list; a share-of-voice audit shows whether an AI assistant mentions your business by name at all when answering a buyer's question, and how it characterizes you relative to competitors — a fundamentally different, binary kind of visibility.

Why can't I just check this myself by typing questions into ChatGPT once?+

A single manual query captures one model, one moment, and one phrasing. A real diagnostic probes multiple models across the actual range of questions buyers ask, because answers vary by model and by how the question is worded, and a single check will miss that variance.

How often does AI-assistant share of voice actually change?+

It can shift whenever underlying models update, when competitors publish new structured data or citations, or when authoritative sources about your industry change — which is why a one-time audit is a snapshot and re-scanning after remediation is what proves whether the work actually moved the needle.

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.

$29–$780/mo
what monitoring tools charge to report your AI visibility
$1,500–$50k/mo
what GEO agencies charge to execute — ongoing retainer
One investment
what AI HALO asks to do the work + a 30-day proof re-scan

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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