GEO at SEOquick
GEO is the next visibility layer after classic SEO: the brand needs to be understandable, citeable, and trusted by AI systems as well as search engines. SEOquick combines entity structure, content architecture, technical signals, and practical AI workflows.
Being cited and being named are two different jobs
Whether an AI system cites your site is a technical question: can the bot fetch the page, read it without running scripts, and lift a ready-made answer. Whether it names your brand is a reputation question: does the model know you exist and have a reason to recommend you. The first gets fixed in weeks, the second takes months.
We measured this on our own domain: 751 Google AI Overview answers that list seoquick.com.ua as a source (SE Ranking, Ukrainian database, August 2026). The brand was named in 71.4% of them, and the position of the link decided almost everything. In the top three sources the brand is named nearly every time, from fourth place in about half of the answers, from eighth place in one in five. The full breakdown is in Why AI cites your site but never names your brand.
What we work on
- entity mapping and knowledge-graph-friendly structure
- AI-friendly content, source clarity, and answer formats
- llms.txt, structured data, and technical discoverability
- AI visibility tracking: prompts that mention you, competitors in answers, AI referrals in GA4
- AI assistants and internal tools for SEO, content, and analysis
When this is useful
- AI answers already influence your buyer journey
- the brand needs stronger topical authority
- content must become easier for LLMs to understand and cite
- your team wants AI tools that remove routine and speed up research
You can start with your own site: our website audit checks llms.txt and markup, and after sign-up shows how often the brand appears in Google AI Overviews, ChatGPT and Perplexity answers. How GEO differs from SEO and AEO is covered in AEO vs SEO vs GEO.

