Reputation · AI Visibility

A consultant to make your company appear, and be accurate, in AI answers

Short answer

When people ask ChatGPT, Gemini, or Google's AI overviews about your company, the first answer is assembled by machines from the easiest-to-find sources, not necessarily your official site. To make the official version the one they cite, you need structured data (schema), citable sources, and entity consistency across channels. SAMCGI builds this layer, and this site itself is the proof.

How machines assemble the first answer

Language models name brands first from parametric memory, then look for citations to support it. Most of those citations come from earned media, not owned content. The consequence: if your official source is not easy to find and machine-readable, the answer about your company is assembled from whatever is easiest to access.

What must be true

Structured data: Organization, FAQPage, and AboutPage schema so machines understand your entity.
Citable answer pages: one URL answering one question, self-contained and data-backed.
Entity consistency: uniform name, address, founding date, and official links (sameAs) across channels.
Access for AI crawlers: robots.txt and llms.txt welcoming GPTBot, ClaudeBot, PerplexityBot, and Google-Extended.

This site is the proof. The answer hub you are reading, four schema-backed authority layers, llms.txt, and a sitemap are a direct application of what we recommend. SAMCGI prepares the layer that makes a company's official version easier for machines to find and cite. We prepare the discipline, not guarantee rankings.

Frequently asked questions

Can a company guarantee appearing in AI answers?

No one can guarantee AI rankings. What can be prepared is the foundation that makes your official version easier for machines to find, understand, and cite.

Why does AI sometimes state my company incorrectly?

Because answers are assembled from the easiest sources, not always your official site. Structured data and entity consistency reduce this risk.

What is llms.txt and is it needed?

A supplementary navigation file some AI systems can read. It is not an official Google Search factor, and Google ignores it. The foundation remains crawlability, content structure, internal links, sitemap, metadata, and source authority.

How long until results show?

It depends on indexing and off-site authority. The on-site foundation can be prepared quickly; machine citation follows once indexed and referenced by other sources.

Sources & references

Schema.org (Organization, FAQPage, AboutPage).
Google Search Central: AI features.
OpenAI crawler documentation (GPTBot for training, OAI-SearchBot for ChatGPT Search).
Official references: KNKG

Want your official version cited by AI?

SAMCGI builds the structured-data layer, citable pages, and entity consistency for issuers, SOEs, and regulators. We prepare the discipline, not guarantee rankings.

Schema & sitemapCitable pagesEntity consistency

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Compiled July 2026. Track record and awards are attributive: achieved by clients, prepared by SAMCGI, with verifiable years and organizers. This page is informational, not a promise of outcomes.