Glossary — AI Visibility & GEO Terms

Core Sigly Concepts

Sigly Score

A proprietary 0-100 metric measuring overall AI readiness. Combines AI Visibility and Agentic Actionability using a proprietary weighted algorithm. Scores are classified as Early (0-39), Developing (40-69), or Mature (70-100).

AI Visibility

One of Sigly's two scoring pillars. Measures whether AI systems can find, access, crawl, and comprehend your content. Evaluates both technical access and neural consumption readiness using Sigly's proprietary scoring model.

Agentic Actionability

One of Sigly's two scoring pillars. Measures whether AI agents can take meaningful actions on your website, including structured data, forms, CTAs, and machine-readable interfaces.

Dual-Pillar Architecture

Sigly's scoring methodology evaluating websites across AI Visibility and Agentic Actionability, combined using a proprietary algorithm to produce the Sigly Score.

Kill Switch

A scoring mechanism that forces all pillar scores and the Sigly Score to zero when critical access issues are detected, such as robots.txt blocking AI crawlers or noindex directives.

GEO & AI Search Terms

GEO (Generative Engine Optimization)

The practice of optimizing websites for discovery by AI-powered search engines and assistants like ChatGPT, Claude, Gemini, and Perplexity. Unlike traditional SEO, GEO focuses on structured data, content clarity, and machine readability.

LLM (Large Language Model)

AI models such as GPT-4, Claude, and Gemini that power conversational search. LLMs process and generate text, and their ability to understand your website content determines your AI visibility.

RAG (Retrieval-Augmented Generation)

A technique where AI models retrieve external content (like your website) to ground their responses in factual data. Good RAG chunk integrity means your content is easily retrievable by AI systems.

Knowledge Graph

A structured representation of entities and their relationships. Knowledge graph readiness measures how well your content maps to entities that AI systems can reference and recommend.

Neural Readability

A set of 11 advanced checks simulating how LLMs process your content, including transformer attention patterns, embedding quality, and token efficiency.

Technical Terms

JSON-LD (JavaScript Object Notation for Linked Data)

A structured data format recommended by Google and used by AI systems to understand page content. Sigly checks for proper JSON-LD implementation across schema types.

Schema.org

A collaborative vocabulary for structured data on the internet. Sigly evaluates your Schema.org markup to ensure AI systems correctly identify your products, services, FAQs, and organisation details.

Core Web Vitals

Google's metrics measuring real-world user experience: Largest Contentful Paint (loading), Cumulative Layout Shift (visual stability), and Interaction to Next Paint (responsiveness). Sigly measures these using real PageSpeed data.

robots.txt

A file at your website root that tells crawlers which pages they can access. Blocking AI crawlers here triggers Sigly's kill switch, forcing all scores to zero.

Structured Data

Machine-readable markup (typically JSON-LD) embedded in web pages that helps AI systems understand the meaning and relationships of your content.

Sigly Platform Features

AI Vision Simulator

An interactive triple-lens system showing how AI processes your pages through three views: Human Reality (what visitors see), Token Stream (how LLMs tokenise content), and Neural Heatmap (attention weight distribution).

Daily Monitoring

Automated daily scans for paid plan subscribers. Each scan runs 400+ checks across 22 categories, detects regressions, verifies applied fixes, and updates your Sigly Score.

Trust Badge

Visual indicators of AI readiness status. Verified badge at score 70+, Elite badge at score 90+. Available for embedding on your website.

Regression Detection

Automatic identification of score drops between scans. Sigly flags when previously fixed issues reappear, helping you maintain progress.

Fix Verification

Automatic confirmation that issues marked as resolved are actually fixed in subsequent scans. Prevents false positives in your optimisation tracking.

External Audit API

REST API for third-party integrations with tools like Clay, Make.com, and Zapier. Available on Expert plans with built-in usage controls and rate limiting.

Frequently Asked Questions

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing websites for discovery by AI-powered search engines and assistants like ChatGPT, Claude, Gemini, and Perplexity. Unlike traditional SEO, GEO focuses on structured data, content clarity, and machine readability so that LLMs can understand and recommend your content.

What is the Sigly Score?

The Sigly Score is a proprietary 0-100 metric measuring your website's overall AI readiness. It combines two pillars: AI Visibility (can AI find and understand your content?) and Agentic Actionability (can AI agents take actions on your site?). Scores are classified as Early (0-39), Developing (40-69), or Mature (70-100).

What is the difference between GEO and SEO?

Traditional SEO optimizes for crawlers and ranking algorithms. GEO optimizes for Large Language Models (LLMs) that need to understand your content, not just index it. GEO factors include structured data quality, content clarity, machine readability, entity consistency, and neural readability.

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Shadowstep, Lda. | European Union | [email protected]