Varazm AEO Analyzer scores any page against 59 answer-engine readiness factors and models how 31 AI search environments would read it — a clear score, a per-environment breakdown, and specific fixes.
31 AI engines · 59 ranking factors · actionable recommendations
Varazm AEO
Pricing
Simple monthly pricing
Two clear plans — a single one-off scan or a monthly Premium with up to 25 scans/day, full reports, PDF export, saved websites and priority AI scoring.
Pay-as-you-go
Single Scan
One complete AEO audit — perfect for a quick check without any subscription.
AEO stands for Answer Engine Optimization: the practice of making a website easy for AI assistants like ChatGPT, Claude, Gemini, Perplexity and Copilot to read, understand and cite when they generate answers.
Get cited by AI
Structured content, clean metadata and clear entity signals make AI models much more likely to name your brand in their answers.
Score on 59 factors
We measure metadata, structured data, FAQs, entities, freshness, crawlability, performance and more — technical and content signals that influence how AI systems crawl, understand and cite a page.
Actionable fixes
Every low score comes with a specific, prioritized recommendation you can hand to a developer or apply yourself.
Why it matters now
Buyers increasingly ask an AI assistant instead of scrolling Google results. If your site isn't AEO-ready, AI engines describe your competitors — not you. AEO tunes structure, metadata, entities and content so AI models can quote you accurately and confidently.
How it works
How the scan works
1
Enter a URL
Paste any public URL — your homepage, a landing page, or a blog post.
2
Deep AEO scan
We parse HTML, JSON-LD, robots, sitemap and content signals against 59 ranking factors.
3
Per-engine scoring
AI models estimate how discoverable and citable your page is for each of the 31 answer engines we track — including ChatGPT, Claude, Gemini, Perplexity and Copilot.
4
Actionable fixes
Priority recommendations by severity — structured data, content, entities, freshness and more.
AI Engines
Readiness modelling across 31 AI search environments
Each profile re-weights the same audit for how that environment retrieves and cites pages. Readiness is an estimate. Live monitoring, on a subscription, measures what five answer engines actually say about you.
Google AI Overviews & Search AI
Readiness only
ChatGPT Search
Live monitored
Google Gemini
Live monitored
Anthropic Claude
Live monitored
Perplexity AI
Live monitored
Microsoft Copilot
Live monitored
Apple Intelligence & Siri
Readiness only
Meta AI (Llama 8)
Readiness only
Baidu ERNIE Bot (Ultimate)
Readiness only
xAI Grok
Readiness only
Mistral (Ultimate-3)
Readiness only
Mistral Large (Advanced Reasoning)
Readiness only
DeepSeek-V7 (Multi-Agent)
Readiness only
Alibaba Qwen (Ultra Context)
Readiness only
Alibaba Qwen-Turbo
Readiness only
Alibaba Tongyi Qianwen (Foundation)
Readiness only
ByteDance Doubao (Multimodal Search)
Readiness only
Cohere Command R++++
Readiness only
Aleph Alpha Luminous-OMNI
Readiness only
Arc Search (Gen-3)
Readiness only
Tencent Hunyuan (Ultimate)
Readiness only
Phind (Code-Gen Pro)
Readiness only
Kagi Search (Adaptive AI)
Readiness only
Tabi Search (Advanced AI Integration)
Readiness only
AlphaSense (Domain-Specific AI)
Readiness only
Groq (LPU Inference)
Readiness only
RunCML (Specialized Conversational AI)
Readiness only
You.com AI Assistant
Readiness only
Hugging Face Search (Community Models)
Readiness only
NVIDIA AI Foundation Models
Readiness only
Amazon Q (Business AI Assistant)
Readiness only
Ranking Factors
59 ranking factors, one clear score
Each scan grades the technical, structural and content signals that influence crawlability, entity understanding and citation readiness across AI search and answer systems.
E-E-A-T & Authority Signals
·01
AI Model Instruction Following & Fine-tuning Signals
·02
Content Clarity, Conciseness & Atomization
·03
Metadata & Advanced Semantic Annotations
·04
FAQ, Q&A, and Conversational AI Optimization
·05
Advanced Prompt Engineering & In-Context Learning
·06
Optimizing content and context for advanced AI prompt engineering techniques, few-shot learning, and in-context learning to guide generative AI outputs effectively.
Integration with and contribution to real-time knowledge graphs for dynamic and up-to-the-minute AI responses.
AI Regulatory Compliance & Data Governance
·08
Ensuring content and data practices comply with evolving AI regulations (e.g., GDPR, AI Act, data privacy laws) to maintain trust and avoid penalties.
Multi-Agent System Compatibility & AI Orchestration
·09
Optimizing content and interfaces for interaction with complex multi-agent AI systems, allowing for distributed task execution and collaborative AI workflows.
Semantic Interoperability & Data Portability
·10
Ensuring data and content can be seamlessly understood and exchanged across diverse AI models, platforms, and applications.
Structured Data & Schemas
·11
Federated Learning Optimization & Privacy-Preserving AI
·12
Structuring data and content to be effectively utilized in federated learning environments, respecting privacy while contributing to model improvement.
Performance & AI Processing Efficiency
·13
Accessibility for Diverse User Agents, AI & Multimodal Interfaces
·14
Citations & Sources
·15
Ensuring proper referencing and sourcing for factual claims, crucial for AI's verifiability.
User & AI Trust Signals (Security, Privacy & Ethics)
·16
Multilingual, Localization & Cross-Cultural AI Signals
·17
Readability & Comprehension by Humans/AI (Cognitive Load)
·18
Alt Text & Rich Image Description Coverage for Multimodal AI
Ethical AI Alignment, Bias Mitigation & Fairness Principles
·50
Crawlability & AI Discoverability (Advanced Indexing)
·51
AI Agent Compatibility & Executable Instructions
·52
Semantic Chunking & RAG Optimization
·53
Brand Safety & AI Content Moderation
·54
Real-time Data Integration & Dynamic Content
·55
AI Data Consumption Control & Licensing
·56
Strategies and signals for controlling how AI models consume, process, and attribute content from your site, including opt-out mechanisms or specific licensing for AI use.
Trust Flow & Authority Signals
·57
Optimizing for direct and indirect signals that indicate trustworthiness and authority flow across the web, including link context, author reputation, and platform integrity.
Content Lifecycle Management
·58
Managing content from creation to retirement, including version control, archival, and signals for content decay or updates, crucial for AI's temporal understanding.
AI Feedback Loop Optimization
·59
Strategies for monitoring and integrating AI feedback on content performance, ensuring iterative improvements based on how AI systems interact with and utilize content.
Platform capabilities
Beyond a scan — the full AEO command center
Every plan builds on the one‑shot AEO scan with continuous monitoring, competitor share‑of‑voice, site‑wide audits with AI patches, and a public API — so your brand keeps winning in ChatGPT, Gemini, Perplexity, Claude and Copilot.
AI Prompt Monitoring & Competitor Share‑of‑Voice
Add the prompts your customers actually ask AI engines. We run them on schedule across 5 engines, record whether your brand is mentioned, its rank position, which sources are cited, and how your Share‑of‑Voice compares to competitors — with 7 / 30 / 90 day windows.
Every AI answer is built from a handful of sources. Our bipartite Citation Graph shows exactly which domains each engine cites, how often, and where your own domains appear — so you know which PR, backlinks and content assets are actually working for AI visibility.
Bipartite graph: engines ↔ cited domains
Edge thickness = citation frequency
Your domains highlighted
Export to CSV for outreach lists
Site‑Wide AEO Audit + AI Fix Patches
Point us at your root URL. We crawl your sitemap, analyze every page for JSON‑LD (Organization, FAQ, Breadcrumb), meta, headings, images, canonicals and word count, score each page 0–100, and highlight entity consistency issues (name/logo/sameAs). Then Gemini generates a copy‑pasteable fix patch for the worst offenders.
Up to 50 pages per audit (200 on Scale)
Cross‑page entity consistency detector
AI patch = <title>, meta, H1, JSON‑LD, missing content
Bilingual patches — apply as EN or FA
Public API, Webhooks & dynamic llms.txt
Everything you see in the UI is available over a Bearer‑token REST API. Subscribe to HMAC‑signed webhooks for audit.completed, audit.failed and prompt_run.completed events. Publish a live llms.txt built from your brand + latest audit so AI crawlers get an authoritative brand snapshot.
Answer Engine Optimization (AEO) is the practice of preparing a website so AI answer engines can read, understand, quote and cite it. It combines technical access, semantic clarity and directly answerable content.
How is AEO different from SEO?
SEO optimises for a position in a list of results; AEO optimises for inclusion inside a generated answer. Most technical SEO work still helps, but AEO adds entity clarity, factual attribution and AI crawler permissions.
What is AI Visibility?
AI Visibility is how often your brand actually appears in answers produced by AI engines for a tracked set of prompts. It is measured from stored responses, not estimated from your page.
How does Varazm calculate readiness?
Readiness is computed from the page itself: 25 weighted factors grouped into technical, structural, semantic and content categories. The same page always produces the same score until the page changes.
Why do AI responses change between runs?
Generative models sample from a probability distribution, so the same prompt can produce different brands and sources each time. This is why a single run is never treated as a result — repeated runs are.
Does Varazm use estimated or live data?
Both, clearly separated. Readiness scores are estimated from your pages; visibility, citations, share of voice and sentiment come from live answers stored at run time. The interface never presents one as the other.
