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AI Reputation Management (ChatGPT & Perplexity Defense)

ChatGPT, Perplexity, and Gemini now answer about you. We defend the paragraph they produce — line by line.

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ChatGPT, Claude, Perplexity, Gemini, Grok, and Brave Search now answer the question your buyer used to type into Google. The paragraph they produce is the new “first page” — and you almost certainly have zero control over what it says.

A wrong sentence in an LLM answer is exponentially more expensive than a wrong sentence in a Forbes article. Because the LLM repeats it, every time, to every person who asks.

The Helios Protocol is a surgical engagement for defending that answer. We don’t rewrite LLMs. We don’t run jailbreaks or prompt injection. We harden the citation graph — Wikipedia, Wikidata, authored bylines, structured data, knowledge panels, and platform-favored outlets. When LLMs pull citations, they pull from the most authoritative and current sources in that graph.

Control the graph, and you influence the answer.

This is the new reputation surface. Traditional SERP defense is still critical, but it’s defensive. AI answer defense is structural — you’re shaping what gets said about you at the source.

The four-phase protocol

How an engagement actually runs.

  1. 01

    Answer Baseline

    Capture how each of six engines answers your 25 most-asked queries. The 25 are decided together on kickoff — typically brand name, job title, personal bio queries, and top buyer pain-points.

    Days 0–10
  2. 02

    Provenance Hardening

    Schema.org structured data (Person/Organization), authored bylines on key content, Wikidata claims, citation-link reinforcement, knowledge-panel claim verification.

    Days 10–45
  3. 03

    Hallucination Correction

    Formal feedback filings to each platform with documentary evidence for false claims — hallucinated affiliations, decade-old framing pinned at the top, fabricated quotes.

    Days 45 → as needed
  4. 04

    Drift Watch & Optimization

    Continuous quarterly re-rehearsal of your top 25 queries. Answer changes flagged within 72 hours. Recommend content updates or claim reinforcements.

    Month 3 →
Plain-English FAQ

Questions every AI Reputation Management (ChatGPT & Perplexity Defense) buyer asks.

Can I control what ChatGPT says about me?

Not directly. But you can influence it. LLMs weight citations heavily — Wikipedia, Wikidata, authored bylines, and structured data (Schema.org) are three of six major citation surfaces they use. We harden all six. The other three are search-engine-generated knowledge panels and platform-favored news outlets. Control the citation graph and you influence the answer.

What if the LLM is saying something true but unflattering?

That's not our job to hide. Our job is accuracy and current relevance. If something true but old (10-year-old controversy, outdated job title, past company affiliation) is being cited, we work on contextualizing it — adding newer, more relevant information to the citation graph so the old fact competes for space.

Will you write fake citations or jailbreak prompts?

Never. Both get clawed back in the next model update or training cycle, and both are explicitly prohibited by platform policies. We work only with truthful, verifiable information hardened in the citation graph.

How often do answers change?

ChatGPT and Perplexity update their citations monthly. Gemini and Claude update as their training improves. We monitor continuously and flag changes within 72 hours. Most drift is benign (rewording), some is tactical (newer sources), some is hallucination.

What's the cost difference from Search Console optimization?

Traditional SERP optimization (Google rankings) is a long game (3–6 months) and requires ranking keywords. AI answer optimization is faster (30–45 days) but requires citation-graph engineering. For individuals and brands, we often do both — they're complementary.

Helios Protocol

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