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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.
As AI assistants evolve from simple chat interfaces into agents that actively browse, query, and act on a user's behalf, more of them are reaching for structured data feeds rather than parsing rendered HTML, which means a business with only a visually designed website and no machine-readable endpoint is invisible to an entire emerging class of agentic queries. API-first content delivery means exposing the same core facts already on a site — inventory, pricing tiers, service availability, hours, locations — through a lightweight, structured feed such as JSON-LD, an llms.txt briefing document, or a simple public endpoint an agent can request directly, rather than forcing it to infer meaning from a page layout built for human eyes. This does not replace the human-facing site; it runs alongside it as a parallel, unambiguous channel so that when an agent is tasked with comparing options or booking a service, it retrieves accurate structured facts instead of a scraped, potentially garbled approximation.
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No. An llms.txt file is a static briefing document that summarizes a site's key facts and links for AI crawlers in plain text; an API is a live, queryable endpoint. Both serve the same goal of structured accessibility, but an API supports real-time, dynamic requests an agent can act on directly.
For most businesses, well-implemented JSON-LD schema plus an llms.txt file covers the vast majority of current AI retrieval needs. A dedicated API becomes worthwhile once agentic tools need to query live, frequently changing data like real-time availability or dynamic pricing.
Only non-sensitive, already-public facts belong in these feeds — the same information already visible on the website, just in machine-readable form. No pricing logic, customer data, or backend systems are exposed; it's a read-only, curated layer built specifically for AI consumption.
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