The wrong sentence in an LLM answer is more expensive than the wrong sentence in a Forbes article — because the LLM repeats it, every time, to every buyer who asks. AI Citation & Answer Defense is the surgical engagement for fixing it.
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Helios Sub-Protocol · LLM Answers
AI Citation & Answer Defense
When ChatGPT, Claude, or Perplexity is asked about you, the paragraph it produces is the new "first page." We defend it line-by-line.
Engagements scoped on the call · Financing up to $20,000 available · See how →
How an engagement actually runs.
- 01
Answer Baseline
We capture how each engine answers your 25 most-asked queries. The 25 are decided with you on the kickoff call.
Days 0–10 - 02
Provenance Hardening
Schema.org Person/Organization, authored bylines, Wikidata claims, citation graph reinforcement.
Days 10–45 - 03
Hallucination Correction
Formal corrections filed to each engine's vendor feedback channel with documentary evidence.
As needed - 04
Drift Watch
Continuous re-rehearsal. Drift flagged within 72 hours.
Day 45 →
Questions every AI Citation & Answer Defense buyer asks.
Is this just Wikipedia work?
Wikipedia is one of six citation surfaces LLMs measurably weight. We work all six — Wikipedia, Wikidata, authored bylines, structured data, knowledge panels, and provider-favored outlets.
Will the LLM ever say what I want it to say?
Sometimes. When the citation graph supports it. We never write LLM scripts and we never bait jailbreaks — both get clawed back in the next training cycle.
Helios Protocol
Ready to scope AI Citation & Answer Defense?
Senior analyst on the line. No slides. No pitch deck. Walk away with a printed plan.