# AuraMetrics > AuraMetrics is an AI visibility and GEO (Generative Engine Optimization) platform. It helps brands get found, cited, and recommended by AI systems like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. Plans from $35/month, or $20/month billed annually. Available in English and Spanish. AuraMetrics is built on real patterns of how large language models choose, cite, and recommend sources. The platform centers on the GEO Score and its modules, grouped as GEO Pillars, AI Visibility, Content, AI Commerce, and Analytics. ## Machine-readable access points - [llms-full.txt](https://aurametrics.io/llms-full.txt): Extended version of this file with full descriptions of every page, module, and core concept. ## Homepage - [AuraMetrics (EN)](https://aurametrics.io/en): English homepage. AI visibility platform for brands that want to be cited by ChatGPT, Gemini, Claude, and Perplexity. - [AuraMetrics (ES)](https://aurametrics.io/es): Pagina principal en espanol. Plataforma de visibilidad IA para marcas. ## Pricing - [Pricing (EN)](https://aurametrics.io/en/pricing): Basic $35/mo, Medium $119/mo, Pro $259/mo, Enterprise custom. Save 20% with annual billing (Basic from $20/mo). 5-day full-access trial for $5. - [Pricing (ES)](https://aurametrics.io/es/pricing): Basic $35/mes, Medium $119/mes, Pro $259/mes, Enterprise a medida. 20% off con pago anual (Basic desde $20/mes). Trial de 5 dias con acceso completo por $5. ## Solution Pages - [GEO, Generative Engine Optimization (EN)](https://aurametrics.io/en/geo): Complete guide to GEO, the discipline of appearing in ChatGPT, Gemini, Perplexity and AI Overviews. - [AI SEO (EN)](https://aurametrics.io/en/ai-seo): How to rank in traditional search and AI-generated answers. - [AI Visibility (EN)](https://aurametrics.io/en/ai-visibility): How to measure and improve your brand's presence in AI search. - [AI Search (EN)](https://aurametrics.io/en/ai-search): What AI search is, how it works, and what it means for your brand. - [eCommerce SEO & AI (EN)](https://aurametrics.io/en/ecommerce): Product feeds, Google Shopping, structured data, image SEO, and checkout optimization for AI engines. - [SEO with AI (EN)](https://aurametrics.io/en/seo): How AuraMetrics modules cover every aspect of modern SEO. ## GEO Framework - [GEO Framework (EN)](https://aurametrics.io/en/geo-framework): Open methodology for measuring brand visibility in AI search engines. Includes GEO Score, four pillars (Entity Authority, Technical Discoverability, Trust Signals, Citability), and industry benchmarks. - [GEO Framework (ES)](https://aurametrics.io/es/geo-framework): Metodologia abierta para medir la visibilidad de marca en motores de busqueda con IA. ## Free Tools - [Free AI Visibility Audit (EN)](https://aurametrics.io/en/free-audit): Free diagnostic tool that analyzes your site in 30 seconds and shows how AI engines evaluate your brand for citation. - [Free AI Visibility Audit (ES)](https://aurametrics.io/es/free-audit): Herramienta gratuita que analiza tu sitio en 30 segundos. - [AI Visibility Checker (EN)](https://aurametrics.io/en/tools/ai-visibility-checker): Check your brand's visibility across AI engines. - [Track AI Search Ranking (EN)](https://aurametrics.io/en/track-ai-search-ranking): Monitor your visibility in AI answers across ChatGPT, Gemini and more. ## Industry Benchmarks - [AI Visibility Benchmarks (EN)](https://aurametrics.io/en/benchmark): Industry-level AI visibility benchmarks across 15 industries and 5 regions. See how brands rank in ChatGPT, Gemini, Claude and Perplexity answers. - [AI Visibility Benchmarks (ES)](https://aurametrics.io/es/benchmark): Benchmarks de visibilidad IA por industria y region. ## Comparisons - [AuraMetrics vs Otterly AI (EN)](https://aurametrics.io/en/compare/otterly-ai-alternative): Feature comparison: AI visibility tracking, competitive analysis, and prompt monitoring. - [AuraMetrics vs Profound (EN)](https://aurametrics.io/en/compare/profound-ai-alternative): Feature comparison: AI visibility without enterprise overhead. - [AI SEO Tools Comparison (EN)](https://aurametrics.io/en/compare/ai-seo-tools): What to evaluate before choosing an AI SEO tool. - [AI Visibility Tools Comparison (EN)](https://aurametrics.io/en/compare/ai-visibility-tools): Comparison of AI visibility monitoring tools. - [SEO Tools Comparison (EN)](https://aurametrics.io/en/compare/seo-tools): How AuraMetrics compares to traditional SEO tools. ## Glossary - [AI Search & GEO Glossary (EN)](https://aurametrics.io/en/glossary): Definitions of AI visibility, AI citation, GEO, AEO, GEO Score, prompt tracking, and other key terms. - [Glosario de AI Search y GEO (ES)](https://aurametrics.io/es/glossary): Definiciones clave para visibilidad en IA. ## Modules AuraMetrics has 23 modules, organized exactly as they appear in the product dashboard: the GEO Score and its supporting groups (GEO Pillars, AI Visibility, Content, AI Commerce, and Analytics). - [All Modules (EN)](https://aurametrics.io/en/modules): Complete catalog of AuraMetrics modules organized by group. - [All Modules (ES)](https://aurametrics.io/es/modules): Catalogo completo de modulos de AuraMetrics organizados por grupo. ## GEO Score - [GEO Score](https://aurametrics.io/en/geo-framework): The consolidated 0 to 100 measurement of how ready a brand is to be cited by AI engines. It aggregates the GEO Pillar reports into a single, trackable score and is the headline metric of the platform. ## GEO Pillars The reports that make up the GEO Score: how AI identifies the brand, how discoverable it is, how trustworthy it appears, and how citable its content is. - [AI Understanding](https://aurametrics.io/en/modules): Audits how clearly AI systems identify the brand as a distinct entity. It analyzes category co-occurrence, semantic isolation, and entity ambiguity so AI associates the brand correctly in Knowledge Graphs and generated answers. - [Schema Validator](https://aurametrics.io/en/modules): Validates Schema.org and JSON-LD structured data, detects missing schema types such as Organization, Product, FAQ, Article, and Breadcrumb, and generates ready-to-implement markup so AI engines can parse the brand's content correctly. - [Trust Auditor](https://aurametrics.io/en/modules): Evaluates the trust signals LLMs use to judge source reliability, including web mentions, sentiment, unlinked mentions, authority, data consistency, and brand-domain presence among cited sources, with a confidence gate that suppresses low-confidence findings. - [Content Readiness](https://aurametrics.io/en/modules): Analyzes each URL against the factors LLMs use to choose sources, including depth, structure, freshness, and answerability, plus agent access via llms.txt and llms-full.txt detection and scoring, and returns a citability score with specific, actionable recommendations. It also includes an Agent Read Window detector, a deterministic metric that measures how much of the first 5,000 to 6,000 characters of raw server HTML (the read budget of AI agent fetchers) is real content versus navigational boilerplate. ## AI Visibility How visible the brand is across AI answers, engines, and competitors. - [AI Visibility](https://aurametrics.io/en/ai-visibility): A consolidated panel showing how the brand appears across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, combining signals from multiple modules into one health view. - [Prompt Tracking](https://aurametrics.io/en/track-ai-search-ranking): Tracks the brand's position and mention rate across a defined set of monitored prompts and AI engines over time, showing where the brand gains or loses ground. - [AI Market Leaders](https://aurametrics.io/en/modules): Ranks which brands lead AI answers in a category, so a brand can see which competitors the AI engines currently favor and by how much. - [Answer Monitor](https://aurametrics.io/en/modules): Tracks what ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews actually say about the brand, its products, and its competitors, including mention frequency and sentiment. - [AI Visibility Gaps](https://aurametrics.io/en/modules): Surfaces the sources and prompts where AI cites competitors but not the brand, turning each gap into a prioritized content and digital-PR opportunity. - [Prompt Simulation](https://aurametrics.io/en/modules): Tests how LLMs respond to customer questions before content is published, so teams can validate messaging and find weaknesses before launch. - [AI Perception](https://aurametrics.io/en/modules): A complete report on how leading LLMs currently describe the brand, including tone, framing, and competitive positioning. - [Citation Patterns](https://aurametrics.io/en/modules): Uses a machine-learning model to estimate the brand's AI citation probability, identify which signals correlate with citation, and simulate improvement scenarios against industry benchmarks. ## Content Evaluate, improve, and create content for AI citation. - [Content Optimization](https://aurametrics.io/en/modules): Cross-references data from every module to produce a prioritized, quantified roadmap, estimating how much each action would improve the GEO Score. - [Content Creator](https://aurametrics.io/en/modules): Generates AI-optimized content grounded in real citation data and structured for clean LLM extraction and attribution. - [FAQ Generator](https://aurametrics.io/en/modules): Generates the questions audiences ask AI about a category and formats answers with FAQ schema, optimized for AI citation and featured snippets. - [llms.txt Generator](https://aurametrics.io/en/modules): Crawls your site, classifies pages, and generates a ready-to-use llms.txt (and optional llms-full.txt) so AI agents discover and cite your content correctly. - [OKF Generator](https://aurametrics.io/en/modules): Crawls your site and generates a complete OKF v0.1 knowledge bundle as a downloadable ZIP, ready to deploy at /okf/ for structured AI agent consumption. ## AI Commerce Catalog, merchant feed, product images, and agentic-commerce readiness. - [Search-Ready Titles](https://aurametrics.io/en/ecommerce): Rewrites product feed titles and descriptions based on real customer searches so products surface in Google Shopping and in AI shopping recommendations. - [Image Fixer](https://aurametrics.io/en/ecommerce): Analyzes product images for AI agent readability and Google Shopping policy compliance, flags issues, and prioritizes fixes. - [Agent Merchant](https://aurametrics.io/en/ecommerce): Audits whether the catalog is ready for AI shopping agents. It integrates Google Shopping, pulls product ratings and review sentiment, runs a competitor win and loss analysis per product attribute, applies a brand homograph guard, and verifies listing ownership with is_merchant matching. It also covers AI checkout readiness and a UCP / Web Payments manifest audit. ## Analytics GA4 traffic, revenue impact, and tracking quality. - [AI Impact](https://aurametrics.io/en/modules): Measures the real referral traffic arriving from AI engines such as ChatGPT, Perplexity, and Gemini by combining GA4 and Google Search Console, quantifying the business impact of AI visibility. - [Data Quality](https://aurametrics.io/en/modules): Audits GA4 tracking integrity, detecting misconfigured or duplicated events, missing tags, and broken tracking that corrupt reporting before they affect decisions. ## Blog - [Blog (EN)](https://aurametrics.io/en/blog): Articles about generative SEO, analytics, and AI optimization. - [Blog (ES)](https://aurametrics.io/es/blog): Articulos sobre SEO generativo, analytics y optimizacion para IA. ## Platform - [Platform Overview (EN)](https://aurametrics.io/en/platform): How AuraMetrics works: architecture, integrations, and capabilities. ## Contact & Social - [Contact](https://aurametrics.io/en/contact): General inquiries and partnership requests. - [Email](mailto:hello@aurametrics.io): hello@aurametrics.io - [X / Twitter](https://x.com/aurametrics): Updates, insights, and announcements. - [LinkedIn](https://www.linkedin.com/company/aurametrics-io/): Company page and professional updates. - [Product Hunt](https://www.producthunt.com/products/aurametrics): Product Hunt profile. ## OKF Bundle - [OKF knowledge bundle](https://aurametrics.io/okf/index.md): Open Knowledge Format (OKF) v0.1 bundle with canonical, machine-readable definitions of AuraMetrics concepts, metrics, integrations, and positioning for AI agents and tools. ## Legal - [Terms & Conditions (EN)](https://aurametrics.io/en/terms) - [Privacy Policy (EN)](https://aurametrics.io/en/privacy) - [DPA (EN)](https://aurametrics.io/en/dpa): Data Processing Agreement (GDPR). - [Security (EN)](https://aurametrics.io/en/security): How AuraMetrics protects your data. - [Subprocessors (EN)](https://aurametrics.io/en/subprocessors): List of subprocessors.