AI SEO Is Not Traditional SEO With a New Label
AI systems do not rank brands by keyword density or backlink count. They recommend brands based on entity confidence: a composite of structured data consistency, how many independent sources corroborate the brand, what topics the model associates it with, and whether the identity signals resolve cleanly across platforms.
That changes the work. Building entity confidence means understanding how models parse and weight information, how trust signals accumulate across citation networks, and how to keep multi-platform signals consistent enough that a system can corroborate them. Applying keyword and link tactics to that problem optimises for the wrong signals.
For a deeper explanation, read What Is AI Visibility and the comparison at AI SEO vs Traditional SEO.
Measuring What Traditional Tools Do Not
Most SEO platforms track Google rankings. They do not measure how often a brand appears in an AI-generated answer. That gap is why Prezlo was built. It tracks how often a professional or brand is cited by ChatGPT, Gemini, Perplexity, Grok, DeepSeek, Meta AI, Bing AI, Brave Search, DuckDuckGo, and You.com for a defined set of commercial queries.
Every engagement starts with a Prezlo baseline, and every phase is measured against it. The point is to show movement in AI citation frequency with data, not to report ranking positions that do not predict whether a brand appears in an answer.
See the full platform description at AI Visibility Service.
Proof of the Methodology
The clearest demonstration is the QInsights deployment. QInsights AI is a qualitative research platform competing against incumbents with decades of market history. After a programmatic build covering entity schema, an llms.txt file, an academic citation network, and roughly 100 keyword-targeted pages, the platform began appearing in Bing AI results alongside an established category incumbent within weeks. The founder confirmed it directly.
The methodology is the same in every engagement: entity architecture first, monitoring second, content and citation third.
For the full write-up, read the QInsights Bing AI case study.