AI Visibility Framework by Klara Pelhe
Generative Engine Optimization (GEO) involves decisions about how AI systems find, describe, recommend, and cite your business.
Those decisions need a clear connection between customer needs, available evidence, and the outcomes you want to achieve.
A framework connects the work: define the questions that matter, assess current conditions, choose justified changes, and evaluate what follows.
It gives you a shared basis for deciding what deserves attention and what needs more evidence.
But we need to bring these decisions into one recurring process.
That is exactly why I’ve invented VECTOR.
It connects AI discovery, business identity, content organization, and technical access with priorities and evaluation.
VECTOR examines relevant AI answers alongside your business information, content organization, and technical access.
Together, these findings help identify where further investigation or changes could be useful:
VECTOR examines relevant AI answers alongside your business information, content organization, and technical access.
| DIM | DESCRIPTION |
|---|---|
| V - Visibility | Records how your business appears in AI answers, distinguishing mentions, recommendations, citations, and prominence. |
| E - Entity | Examines how clearly and consistently information identifies your business, its offerings, and relevant topics. |
| C - Clustering | Assesses how related content answers audience questions, covers topics, and connects through useful page relationships. |
| T - Technical | Examines website conditions that help people, search engines, and AI systems find, access, and read content. Technical readiness does not guarantee inclusion in AI answers. |
| O - Off-site Signals | Examines external evidence about your business and expertise, including source independence, credibility, corroboration, and conflicting claims. |
| R - Retrieval | Assesses whether content answers relevant questions clearly and retains sufficient meaning, facts, and context when extracted. Controlled tests do not establish selection by a proprietary AI system. |
What would your brand's journey through VECTOR look like?
VECTOR first checks whether relevant systems can access and read your important pages. Suppose your main description is missing from the rendered content inspected. That creates a technical issue to investigate before rewriting useful content.
VECTOR repeats customer questions across selected AI systems and records mentions, recommendations, and citations. Your brand might appear only when a question names it, while competitors appear in broader answers. This establishes your starting point for reaching customers who don't know you yet.
VECTOR compares your website, external profiles, and AI descriptions. An outdated profile might describe you as a general provider, while your website presents a specialist offering. Correcting that mismatch can help customers and AI systems understand where your brand fits.
VECTOR checks how related pages answer customer questions and connect through useful links. Your site might explain the offering but omit costs, suitability, or alternatives. Those gaps guide content that helps customers compare options and gives AI systems relevant information.
VECTOR checks reviews and industry coverage for independent support, credibility, and conflicting claims. Several mentions might repeat your description, while one independent review provides evidence of your expertise. This shows which claims have external support, rather than simply counting mentions.
VECTOR checks whether passages retain enough meaning and context outside the full page. A vague description might need explicit facts about your offering, audience, and relevant conditions. Clearer passages support retrieval readiness, but don't guarantee AI selection or citations.
Your findings become priorities based on business value, evidence, and implementation capacity. Each change has an owner, an expected effect, and an evaluation method. Your team applies the selected changes and records what changed and when; uncertain findings can require further investigation.
VECTOR repeats the agreed checks and compares your brand's visibility with the starting point. Where tracking allows, it also examines enquiries, sales, and revenue. If visibility improves but enquiries don't, the next cycle investigates that gap instead of assuming business success.