SEOWEBI was built to measure what most companies cannot see.
AI systems are already shaping how buyers discover, compare, and choose. Most companies are still measuring visibility the old way. SEOWEBI exists to close that gap - with evidence.
The dashboards were green. Something still did not add up.
SEOWEBI came from working inside real businesses - companies where digital performance was measured, reported, and optimised every week. Traffic was stable. Campaigns were performing. The numbers said everything was working.
But buyers were changing how they searched. AI systems were starting to generate answers instead of returning links, and those answers were shaping discovery in ways that appeared nowhere in the standard reporting stack.
The metrics were accurate. They were measuring the right things. They were just measuring the wrong layer.
There is inclusion, and there is absence.
AI-generated answers do not behave like a traditional ranked search-results page. They include only a small number of companies. In AI-generated answers, visibility is not only about position. It begins with inclusion.
If your company is not included, it may never enter that stage of the buyer's decision - and most companies have no way to see whether that is happening to them. Their analytics are clean. The gap remains difficult to see because most companies still lack a reliable way to measure it.
SEOWEBI was built to measure that layer.
Not by adapting traditional SEO tools for AI. Not by adding AI features to an existing platform. But by starting from how AI systems actually select and recommend.
That required a new measurement model: the SEOWEBI Visibility Pyramid™ - six pillars, each a measurable set of signals that together determine whether AI systems can understand, trust, and recommend a company. The AI Brand Intelligence Report™ measures them directly: a minimum of 30 structured prompts, expanded for your named competitors, across four AI engines, a confidence-labelled score across six pillars, a named failure pattern, and a prioritised roadmap.
The goal is not to produce reports. It is to produce clarity - the kind that makes the next decision obvious.
Three operating principles.
- 01Intelligence, not advice
SEOWEBI measures and reports. It does not prescribe implementation. The Report reveals the gap; you decide what to do with it.
- 02Measurement over opinion
Every material AI finding traces back to the prompt, response and available source evidence recorded during testing. Supporting findings trace back to the website, technical or third-party evidence behind them. Scores are labelled Measured, Estimated or Incomplete, so the strength of the evidence is stated plainly.
- 03Clarity over comprehensiveness
A focused Report that creates one clear decision is worth more than a fifty-page document that creates ten uncertain ones. We optimise for the moment of clarity.
Measurement discipline shaped by operating experience.
SEOWEBI was founded by Cornelius Alfonso, a senior digital and customer strategy leader with experience across international brands, CRM, eCommerce, marketing technology and customer experience.
That operating experience shaped the discipline behind SEOWEBI: evidence before interpretation, confidence stated plainly and no recommendation without a measurable basis.
Every Report is reviewed by a human analyst before delivery. Cornelius oversees the analyst-review standard used to turn raw AI responses into executive findings.
The shift is already happening. The next step is to measure it.
Understanding the shift is the first step. Measuring where your company sits inside it is what creates clarity - across all six pillars, against the AI engines your buyers are using today.