SEO, AEO, and GEO describe overlapping ways of improving how people find and use information. SEO usually refers to search engine optimization. AEO commonly means answer engine optimization, with attention to direct answers. GEO commonly means generative engine optimization, with attention to generated responses and their sources. The latter two labels do not identify a single standardized set of platform rules.

Treat them as planning vocabulary. If a team cannot explain what will change on a page, which audience decision it supports, and how it will assess the result, adding another acronym will not improve the plan. The AI search optimization workflow connects these activities into one operating process.

Compare the jobs, not just the labels

A single product guide can serve all three jobs. Search fundamentals help make the guide discoverable. Clear explanations help a reader answer a question. Reliable evidence gives someone material to check when evaluating a generated response. None of these requires creating a duplicate page under a different team label.

Planning termTypical working questionExample taskUseful observation
SEOCan relevant searchers discover and use the page?Resolve indexing conflicts and improve navigationIndexed status, relevant search visits, qualified actions
AEODoes the page answer the specific question clearly?State eligibility conditions before detailed instructionsHuman answer-completeness review, observed answer accuracy
GEOHow is the subject represented in generated answers?Publish evidence for a comparison and inspect cited sourcesSampled mentions, citations, recommendations, factual errors

These are proposed work categories. They are not separate ranking systems that a site owner can configure. A documentation improvement may benefit several categories, while a broken canonical can undermine the same page regardless of the acronym used in the brief.

Preserve the platform distinctions

Google says its existing SEO practices remain relevant to AI Overviews and AI Mode and that those features have no additional requirements. Read the scope in Google's AI features documentation. This does not establish the requirements of ChatGPT, Perplexity, or any other service, and it does not mean a page is guaranteed to appear.

Likewise, “Google AI” is too broad for a measurement label. A Google Search AI Overview, an AI Mode interaction, and a Gemini app conversation are different surfaces. Record the experience actually tested. A consumer chat and an API workflow should also be separate segments; one cannot stand in as a replica of the other.

When a platform capability matters to a project, link to that provider's current documentation and record the date reviewed. Keep the editorial team's proposed protocol distinct from the platform's stated behavior. This makes future updates manageable when terminology or interfaces change.

Turn an ambiguous brief into a useful task

Imagine a hypothetical payroll software company receives the request “We need GEO.” Ask which customer question is poorly served. If buyers cannot determine supported countries, the first task is a maintained coverage page with precise conditions. If generated comparisons repeat a retired product name, the task may concern entity clarity and a source correction. If the page is inaccessible, an editor cannot repair the problem by adding answer paragraphs.

Write a brief containing a question, the observed problem, the authoritative evidence, an owner, and a review method. One task might read: “Clarify whether contractors in Country A can be paid through Product B; distinguish contractor payments from employee payroll; have the compliance owner verify the statement; recheck the fixed prompt sample after publication.”

This is more actionable than “increase AI authority.” It gives the team a bounded deliverable and prevents unsupported claims from entering the page just because a competitor uses them.

Use this planning worksheet

Copy the table into your editorial planning system. The filled row is hypothetical and implies no measured outcome.

FieldHypothetical entryYour entry
Audience decisionChoose payroll software for a five-country contractor teamRecord the real decision
Existing evidence gapCoverage page combines employees and contractorsName the page and exact ambiguity
Primary workContent clarity with product verificationIdentify the smallest useful change
DependencyProduct owner confirms country restrictionsAssign a responsible reviewer
ObservationAccurate description in repeated sampled answersDefine the coding rule in advance
Business checkRelevant visitors reach the country eligibility toolChoose a suitable onsite action
Review limitSample does not represent all usersState what the evidence cannot show

Before approving the brief, check that the task benefits a person who lands directly on the page. A paragraph that only repeats synonyms for “best payroll software” does not resolve the country eligibility problem. Original, verified detail is the useful contribution.

Keep measurement honest

An answer can mention a brand without recommending it or linking to its domain. Separate those events. Define mention rate as answers mentioning the brand divided by successful sampled answers. Define recommendations using an explicit rule, such as “proposes the product as suitable for the requested conditions,” and review borderline cases manually.

If reporting share of voice, count each tracked brand once per answer. Divide the brand's count by all brand-answer appearances across a fixed competitor set including the brand. Label it sample-specific comparative presence, not market share. Specify whether citation rate refers to own-domain links or third-party brand references, and retain failed and unknown results separately. The AI visibility metrics guide explains the denominators.

Choose a task from an AI visibility audit, assign it to the team best equipped to resolve it, and preserve the baseline before editing. If your team needs a shared working example, book a demo around one audience question and one current page. The practical decision matters more than agreeing on a preferred acronym.