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A press release is read once by a journalist; a knowledge graph entry is read forever by every model.

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Traditional Press Releases vs. Machine-Readable Knowledge Graph Updates

A press release is built for a single moment of human attention: distributed to media contacts, indexed briefly by news aggregators, and then it ages out of relevance within days. It carries no machine-readable structure, so an AI model encountering it later has to infer facts from prose rather than read them directly. A knowledge graph entity, by contrast, is a standing, structured record — built from consistent JSON-LD across your site, corroborating third-party citations, and entity definitions that tie your business name to a specific category, location, and set of claims. Models query this structure repeatedly, long after any announcement cycle ends, because it resolves ambiguity: it disambiguates your business from similarly named competitors and anchors every future answer about you to a verified fact set. Announcing news still has its place, but durable AI visibility comes from the entity layer beneath it. AI HALO builds that knowledge-graph entity as core deliverable work, not a one-time press push.

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Questions

Answered.

Does a press release help at all with AI visibility?+

It can generate a temporary citation if picked up by an indexed outlet, but the effect fades once the article ages out of retrieval relevance. It does nothing to establish the durable, structured entity record models rely on long-term.

What exactly makes an entity 'machine-readable'?+

Consistent structured data (JSON-LD using schema.org types like Organization and LocalBusiness), matching facts across every page and third-party listing, and unambiguous naming that disambiguates you from similarly named entities — all queryable without a model having to infer meaning from prose.

How often does a knowledge graph entity need updating?+

Whenever a core fact changes — services, credentials, leadership, location. Unlike a press release, the entity is meant to be corrected in place rather than superseded by a new announcement, keeping every future AI answer current.

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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