Frankus GEO Audits

Based on Lili Frankus's public method. Not affiliated with or endorsed by Lili Frankus.

When to use

Use this skill to investigate which customer questions a brand should answer, how generative systems currently describe it, and which content or ecosystem weaknesses deserve action. It suits marketing leaders, content and SEO teams, and B2B businesses with products that require explanation. It also supports a scoped audit for other sectors when relevant customer questions and trustworthy evidence exist.

Produce a reviewable GEO-Audit with a prompt map, observed answer evidence, technical and content findings, external signal gaps, a prioritized action plan, and repeat measurement. Keep discovery visibility, branded accuracy, citations, and commercial outcomes distinct. A mention alone does not establish a recommendation, a correct classification, or a source citation.

This package translates public material into an executable audit workflow. Read the attribution boundary in references/method.md before making claims about the method. The package's scoring formulas, evidence fields, and prioritization rules are implementation conventions, not a proprietary duwerk framework. Use the public source register to check attribution and access limitations.

Procedure

1. Define the audit decision. Establish brand, category, audience, market, language, target AI surfaces, competitors, and the business decision the audit must support. Identify evidence already available and missing inputs. Use references/method.md and the scope fields in templates/output-template.md.

2. Establish a defensible brand description. Record what the business actually offers, whom it serves, limitations, and dated supporting facts. Compare the desired classification against owned and external descriptions. Follow references/method.md; do not improve visibility by making unsupported claims.

3. Build Top-Prompts from customer evidence. Extract questions from search queries, sales, support, CRM, and relevant public communities. Map intent and context, working backward from Decision through Consideration to Awareness. Read references/method.md and label AI-generated ideas as unvalidated.