Our Ethical Standards

GEORaiser only optimizes what's true

The emergence of AI visibility as a discipline created a genuine ethical question: when you help a business become more visible in AI, are you helping AI do its job better — or are you gaming a system that users trust? Here is how we answer it.

Context: In March 2026, China's CCTV 315 Gala exposed companies using AI data poisoning — fabricating claims and seeding them into AI retrieval systems to manipulate recommendations. That practice is fraud and has nothing to do with legitimate GEO. GEORaiser's methodology is the opposite.

What we do

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    Audit before anything else Every GEORaiser engagement starts with an analysis of what's accurate about your business and where AI engines are failing to represent that accurately. We don't start with content creation — we start with a diagnosis.
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    Work only with verifiable facts Product claims we optimize must be attributable to real product behavior, real pricing, real customer outcomes. If a client asks us to optimize content around a claim we can't verify, we decline.
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    Use only human-visible content We do not use techniques that show different content to AI crawlers than to human visitors (AI cloaking). Everything we optimize is visible to all visitors.
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    Build real citations We help clients earn mentions in genuine, credible publications — not through fabricated review networks or synthetic authority platforms. Mention-building means creating content worth citing, not creating fake citations.
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    Apply schema markup to accurate data only Structured data markup helps AI engines interpret page content correctly. We apply it to accurate information. We do not use it to assert claims the business hasn't made.
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    Make every recommendation explainable Every change we recommend, we can explain in plain language to a client's marketing team, legal counsel, or a journalist writing about AI manipulation. We have nothing to hide.

What we don't do

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    Create product claims that aren't supported by the actual product
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    Syndicate content across platforms to artificially inflate apparent authority
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    Use AI cloaking or differential content serving
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    Build citation networks using low-quality, disposable platforms
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    Manipulate AI retrieval through prompt injection in metadata
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    Optimize content about competitors using false or misleading comparisons

Frequently asked questions

What is GEO, and isn't it just AI manipulation?

Generative Engine Optimization helps businesses ensure their accurate content is discoverable and citable by AI engines like ChatGPT, Gemini, and Perplexity. Done ethically, it means structuring real information so AI can find and represent it correctly — the same way good web design makes content accessible to screen readers.

Done unethically, it means fabricating claims and seeding them into AI retrieval systems to manipulate recommendations. That's fraud, and it's exactly what the CCTV 315 Gala exposed in March 2026. That practice has a name: AI data poisoning. It has nothing to do with legitimate GEO.

We practice the former. Every optimization we make starts with what's true about your business.

How do I know your GEO work won't get my company flagged or penalized?

Because nothing we do involves deception. We don't create content that contradicts your actual product claims. We don't use AI cloaking (showing different content to AI crawlers vs. human visitors). We don't build synthetic citation networks on low-quality platforms. Every piece of work we produce is reviewable, attributable, and consistent with what you'd want a journalist to read.

The GEO tactics that create legal and reputational risk are the ones that involve fabrication. Our audit-first methodology means we only work with content that's true — and we help you say that truth more clearly.

What happens when bad actors abuse GEO?

The same thing that happens when bad actors abuse email, social media, or any communications channel: platforms respond, users become skeptical, and the people operating with integrity benefit from the contrast.

The CCTV 315 story will push AI platforms to tighten content intake standards. That's good for everyone who operates legitimately — it raises the floor. GEORaiser's methodology is designed to meet the highest standards, not to find loopholes in the current ones.

Why this matters more than it used to

AI engines are increasingly the first place consumers and B2B buyers look for product recommendations. When AI repeats false claims — as NewsGuard documented at scale in 2025 — real people make bad decisions based on bad information.

Every company that practices GEO irresponsibly makes the information environment worse and undermines trust in AI-assisted discovery. Every company that practices it responsibly contributes to a system that actually serves users.

We're in this industry because we believe AI-assisted discovery can work better for everyone — businesses and users alike. That only happens if the information AI draws from is accurate.

How to evaluate any GEO provider

Ask these five questions. The answers will tell you everything you need to know.

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    Show me a content piece you've created for a client. Can I verify every claim in it?
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    What do you do when a client asks you to optimize content around a claim you can't verify?
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    Do you use any differential content serving for AI crawlers vs. human visitors?
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    Where do you build citations? Show me examples of the publications.
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    What's your process if a platform or AI engine flags your work as manipulative?

Start with a free audit

See exactly what AI engines see when they evaluate your business — and what's accurate, what's missing, and what to fix.

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