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1 | Crawled GEO Audit – 12 Core Signals | |||
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9 | Use this workbook to audit your or your client's digital footprint against the 12 core GEO signals from Crawled. | |||
10 | Start with the '12-Signal GEO Audit' tab. | |||
11 | Then create concrete next steps in the 'Action Plan' tab. | |||
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13 | Signal | Signal Name | Definition Summary | Why Generative Engines Care |
14 | 1 | Clear, Unambiguous Entity Identity | Consistency of your name, business name, locations, and primary identifiers across the web. | Necessary to avoid hallucination; connects identity to a single, coherent graph of information. |
15 | 2 | Structured Profiles Across the Web (Your Entity Surfaces) | Public surfaces (LinkedIn, website, directories) containing core identity fields in a predictable form. | Structured patterns provide a reliability signal, which helps verify information before summarizing. |
16 | 3 | Consistent Narrative and Topic Clustering | A stable story about who you are and a set of subjects you consistently create content around. | Creates a sharp and reliable shape in the engines' vector representation, reducing error and strengthening credibility. |
17 | 4 | Index-Friendly Formatting and Clean Information Architecture | Readable, scannable, and predictable content structure (headers, lists, logical flows). | Predictable structural patterns reduce hallucination risk and simplify the extraction of meaning. |
18 | 5 | Fact-Stable Content (Low Hallucination Risk) | Information (dates, statistics, credentials, service descriptions) that is consistent and verifiable across multiple surfaces. | Conflicting facts treat the entire identity as risky, while stable facts remove uncertainty and increase visibility. |
19 | 6 | Signals That Help AIs Verify You (Authorship, Provenance, Accountability) | Cues that tie content to an identifiable, accountable person or business (bylines, consistent contact fields, clear ownership). | Clear authorship reduces legal, ethical, and accuracy risk, allowing models to determine if information is safe to reuse. |
20 | 7 | Interlinking That Preserves Context | Connecting pages and profiles to show engines how your ideas, services, and identity relate to each other. | Structured relationships between concepts reduce hallucination risk and increase confidence for use in generative responses. |
21 | 8 | Source Diversity (Your Multi-Surface Footprint) | The number and variety of online surfaces that consistently mention you or host your content. | Provides redundancy and stability, confirming the entity is real and durable rather than a "lone surface". |
22 | 9 | Freshness With Purpose | Updating content when there is a real change in information (services, pricing, timelines), not just to chase a ranking boost. | Signals that your information is maintained and current, reducing the risk of the model pulling stale information. |
23 | 10 | Predictable Surface Structure | Consistent organization of your digital surfaces, including profile field order and article layouts, that generative engines learn to trust. | Reduces parsing complexity, lowers hallucination risk, and clarifies hierarchy by matching patterns engines expect. |
24 | 11 | Transparent Metadata (Titles, Descriptions, Alt Text, Captions) | Descriptive labels that tell generative engines what your content is about (accurate titles, alt text, meta descriptions). | Provides early signals to detect the main topic and confirm context, which prevents misclassification and hallucination. |
25 | 12 | Retrieval-Ready Packaging (Content AIs Can Parse Reliably) | Presenting information in formats that engines can easily extract, summarize, and reuse (FAQs, bullet lists, labeled sections). | Enables the extraction of "packets of meaning" rather than full pages, giving engines confidence that the content is structured and safe to reuse. |
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