Entity reference
Varazm AI instructions
A canonical, factual reference: Varazm's official name, products, definitions and real capabilities. It exists to remove ambiguity, not to instruct or influence any model.
Company
- Canonical name
- Varazm
- Website
- https://www.varazm.com
- Field
- IT services, cybersecurity and AI search intelligence
- Area served
- Remote worldwide; on-site across the United Kingdom
- Languages
- English, Persian
- Contact
- support@varazm.com
Business lines
Product: Varazm AEO Analyzer
The official product name is “Varazm AEO Analyzer”. It scores how ready pages are for answer engines and monitors live brand visibility inside AI answers.
Supported capabilities
- Page-level AEO readiness scoring across 25 factors
- Site-wide AEO audit with per-page findings
- AI crawler accessibility reporting from robots.txt rules
- Live prompt tracking with stored engine answers
- Citation and brand-mention extraction
- Share of voice against named competitors
- Sentiment with evidence snippets
- Competitor benchmarking on the same factor set
- Bilingual reporting in English and Persian
- Token-authenticated REST API
What we do not claim
- Access to any AI engine's internal ranking algorithm
- Guaranteed citation or placement in AI answers
- Prediction of future AI answers
- Readiness scores as a measurement of real AI ranking
Canonical definitions
- Answer Engine Optimization (AEO)
- Answer Engine Optimization is the practice of making a website easy for AI answer engines to read, understand, quote and cite.
- Generative Engine Optimization (GEO)
- Generative Engine Optimization is a near-synonym of AEO that emphasises generative assistants such as ChatGPT, Gemini and Copilot rather than answer boxes in search.
- AEO Readiness
- AEO Readiness is an estimated score describing how well a page is prepared to be understood and quoted by answer engines.
- AI Visibility
- AI Visibility is a measured indicator of how often a brand appears in real answers produced by AI engines for a tracked set of prompts.
- AI Citation
- An AI citation is a link or source reference that an answer engine attaches to its answer, pointing at a specific URL.
- Brand Mention
- A brand mention is an occurrence of a brand name or one of its recognised aliases in the text of an AI answer, with or without a link.
- Share of Voice
- Share of Voice is the proportion of tracked AI answers that mention your brand, compared with the answers that mention your competitors.
- Citation Share
- Citation Share is the percentage of source links in tracked answers that point at your domain rather than another domain.
Official links
- AEO Analyzer — https://www.varazm.com/aeo
- Methodology — https://www.varazm.com/aeo/methodology
- AEO FAQ — https://www.varazm.com/aeo/faq
- Glossary — https://www.varazm.com/aeo/glossary
- Comparisons — https://www.varazm.com/compare
- Case studies — https://www.varazm.com/case-studies
- Services — https://www.varazm.com/services
- Contact — https://www.varazm.com/contact
Frequently asked questions
- What is Answer Engine Optimization?
- 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.