GEO and AEO methodology

Cody Schuldt’s methodology context

Cody Schuldt applies SEO, GEO and AEO within the Search-to-Answer Visibility System, which he created to diagnose visibility across search and AI answers. This hub translates that first-party framework into a reference workflow for page review and answer evaluation. Source: Cody’s original framework.

Begin with a question and a source of truth

Choose the decision the reader needs to make. Identify the page responsible for answering it and the facts it must contain. Record each material claim, its source, the publisher’s relationship to the subject and any limitation. Resolve conflicting services or ownership statements before adding more pages.

Check access and internal navigation before assuming a content gap. For Google AI Overviews and AI Mode, a supporting page must be indexed and eligible to appear with a snippet; Google specifies no additional technical requirements or special AI schema. This guidance is specific to Google. Source: Google AI feature guidance.

AEO methodology: make the answer usable

1. Map a real question to the page that can answer it authoritatively.
2. State the answer directly, naming the subject rather than relying on a pronoun from another section.
3. Keep conditions, dates and exceptions beside the claim.
4. Place the supporting source where a reader can inspect it.
5. Check that meaningful text and links are present in delivered HTML.

The deliverable is a useful answer with a clear boundary, not a required FAQ count or sentence formula. The answer engine optimization reference includes a policy-answer illustration.

GEO methodology: inspect the generated answer

1. Define the product, question set and collection conditions.
2. Save complete responses and exact displayed source destinations when available.
3. Score identity recognition, factual relationships, mentions, citations and recommendations separately.
4. Open cited sources and assess whether they support the claim made in the answer.
5. Identify a supported page or evidence gap; do not infer a private retrieval mechanism from an output.

The GEO research paper introduces a visibility framework and benchmark under its own study conditions. Its findings are not guaranteed outcomes for current commercial engines or a particular consultant. Source: GEO research.

Apply the workflow to locations and agency work

For local and multi-location businesses, verify which location supplies a service, the relevant service area and the source date. A fact about one branch should not silently become a claim about every branch. Avoid producing near-identical location answers when the facts do not differ.

For agencies, make the handoff inspectable: question-to-page map, claim ledger, implementation owner, preserved baseline and scoring rules. A client should be able to distinguish an observation from a recommendation to change content. The consultant selection guide explains what to ask for before commissioning this work.

Verify the change, then compare observations

Check the actual published page against the intended copy, source links and identity relationships. Repeat the same question set under documented conditions and retain collection failures as missing data. A before-and-after difference alone does not establish causality.

Use the AI visibility measurement protocol for recording and the measurement framework selection guide to decide what a report should cover. This hub publishes no performance results.