AI Search & Chatbots

86 answers · 5 topics

Field guide

What ChatGPT, Gemini, and Perplexity say about you.

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

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How do AI models decide what to say about my organization?

Based on the sources the engine has access to, the prompt's framing, and how authoritative each available source signals at synthesis time. Source mix and weighting…

Read the answer Getting Cited by AI

Can an ORM firm change what AI answer engines say about my company?

Yes. A capable firm influences AI engines by improving the underlying source ecosystem: Wikipedia, owned properties, authoritative coverage, structured data. No firm can directly edit AI…

Read the answer Strategy & Tactics

How do you build a content strategy specifically for AI visibility?

Build around topical authority: pillar content covering core topics in depth, supporting content answering specific questions, FAQ blocks for direct extraction, and consistent updating to maintain…

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How AI Search Works 14

How do AI models decide what to say about my organization?

Based on the sources the engine has access to, the prompt's framing, and how authoritative each available source signals at synthesis time. Source mix and weighting do the work.
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How do AI models handle companies that operate under multiple brand names?

Multi-brand entities often fragment in AI engines. Strong sameAs structured data, consistent entity descriptions across owned and authoritative third-party content, and explicit relationship signals help unify them.
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How do AI models weight different types of sources when discussing companies?

By perceived authority (domain reputation, citation patterns, structured signals), recency, topical relevance, and corroboration frequency across the web.
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How do AI search engines handle conflicting information about a brand?

By weighting source authority and recency, often presenting one version with caveats or showing both. Reputation work focuses on making the accurate version the dominant one.
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Getting Cited by AI 21

Can an ORM firm change what AI answer engines say about my company?

Yes. A capable firm influences AI engines by improving the underlying source ecosystem: Wikipedia, owned properties, authoritative coverage, structured data. No firm can directly edit AI outputs.
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How do featured snippets relate to AI search results?

They share DNA. Both reward concise, structured, fact-first answers with strong source authority. Content optimized for featured snippets often improves AI citation as well.
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How do you optimize a company’s about page for AI search?

Write clear entity descriptions, include leadership context with named bios, add Organization and Person schema with sameAs links to Wikipedia and Wikidata, cite authoritative third-party coverage, and keep the page maintained.
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How do you optimize content so AI models cite it as a source?

Write fact-dense, structured content with question-format headings, clean schema, recent updates, named expert authorship, and authoritative citations within the text. Topical authority on a domain matters more than keyword density.
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Strategy & Tactics 23

How do you build a content strategy specifically for AI visibility?

Build around topical authority: pillar content covering core topics in depth, supporting content answering specific questions, FAQ blocks for direct extraction, and consistent updating to maintain freshness.
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How do you build an entity that AI models recognize and trust?

Build the entity layer: Wikipedia and Wikidata, schema markup on owned properties, authoritative third-party citations, consistent attributes across the web. The engines reward entities they can recognize and verify.
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How do you correct AI-generated misinformation about your brand?

Identify the source the engine is anchored to (often Wikipedia, a particular article, or an aggregator), fix or counter that source, and monitor across engines as the correction propagates.
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How do you create content that AI models prefer to cite?

Fact-dense, well-structured, authoritatively sourced, recently updated, hosted on high-authority domains, with explicit authorship and entity context. The engines reward what they can quote with confidence.
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Emerging Scenarios 21

How do AI agents and autonomous tools change the stakes of digital reputation?

AI agents that take autonomous actions raise the stakes. An inaccurate AI conclusion now drives a transaction, application, or message, not just a human's preliminary research, making accuracy critical.
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How do AI chatbots handle requests for recommendations that include your competitors?

A two-sided response: strengthen your own entity signals and authoritative content, while tracking which sources the engines use to recommend competitors. The work is on the underlying sources for both sides.
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How do AI models handle company rebrandings and name changes?

Many engines lag on rebrandings. Update Wikipedia, Wikidata, Knowledge Panel, and authoritative coverage; publish announcements broadly so retrieval-based engines pick up the new name.
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How do AI-powered investment tools use reputation data in their analysis?

AI investment tools synthesize reputation signals from search, news, and AI engines into investment-decision inputs. Companies should monitor the AI investor-facing narratives the same way they monitor sell-side coverage.
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Fundamentals 7

Gemini gives a completely different description of my CEO than Google web results. What’s going on?

Different engines, different source weights. Gemini leans on Wikipedia and the Knowledge Graph; Google web results draw on the broader index. We investigate each engine separately and target the source feeding the gap.
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How do AI models handle disambiguation for people and companies with common names?

Through entity context: Wikipedia disambiguation pages, Wikidata IDs, schema markup with sameAs links, and contextual cues in the prompt. Weak entity signals produce confusion or conflation.
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What happens when an AI chatbot gives wrong information about your company?

Identify the source the engine is anchoring the wrong information to, correct or counter that source, and monitor for the correction to propagate through the engine's update cycle.
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What happens when different AI models give contradictory information about your company?

Contradictions almost always trace to different source sets. Identify which source each engine is drawing on, then improve the underlying ecosystem until the accurate version becomes dominant across all of them.
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See all 7 questions in Fundamentals

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AIQ See exactly what ChatGPT, Gemini and Perplexity say about your brand. Learn more → Entity Optimization Build a strong, accurate digital entity and Knowledge Panel, then crisis-proof it in advance. Learn more → Digital Audit A clear assessment of how your reputation looks today across search, Wikipedia and AI. Learn more →

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