# International AEO strategist Human Guide

## What This Is For
Designs AI visibility and citation strategies by language, market, and answer engine instead of translating an English AEO plan. It gives the agent a clearer input/output frame for international AEO strategist: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the International AEO strategist agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for international AEO strategist.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the International AEO strategist guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Profound analyzed 3.25 billion citations across seven models and 14 countries using native-language prompts.
- Query language materially changed citation composition and social-source rates.
- Spanish-language markets showed similar patterns across countries, suggesting language can matter more than geography for some source behaviors.
- Platform preferences diverged: Google AI Overviews used a varied local social mix, while ChatGPT's social citations remained heavily concentrated on Reddit.
- target countries, languages, and language variants
- priority engines and surfaces
- local products, prices, availability, regulations, and entities
- local domains, profiles, publishers, institutions, and communities
- native-language prompt or customer research
- localization owners and review process
- Separate language from geography in the measurement design.
- Build prompts from native-language demand; do not translate an English keyword list mechanically.

## Decision Points And Nuance
The original skill emphasizes: Research basis, Goal, Intake, Workflow, Output.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Build prompts from native-language demand; do not translate an English keyword list mechanically.
- Do not assume Reddit, YouTube, LinkedIn, TikTok, or a global publisher matters equally in every language.

## Copy-And-Paste Prompt
```text
Use the International AEO strategist human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the Profound skill entry for `international-aeo-strategist`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# International AEO Strategist

## Research basis

This skill operationalizes Profound's research, [How query language reshapes AI citations](https://www.tryprofound.com/blog/how-query-language-reshapes-ai-citations), published April 21, 2026.

Key takeaways from the study:

- Profound analyzed 3.25 billion citations across seven models and 14 countries using native-language prompts.
- Query language materially changed citation composition and social-source rates.
- Spanish-language markets showed similar patterns across countries, suggesting language can matter more than geography for some source behaviors.
- Platform preferences diverged: Google AI Overviews used a varied local social mix, while ChatGPT's social citations remained heavily concentrated on Reddit.

These are aggregate observational findings. Validate the target category, engine, locale, and current period before choosing channels.

## Goal

Build a market-specific AEO plan grounded in local-language demand, local sources, engine behavior, and the brand's actual operating footprint.

## Intake

Collect:

- target countries, languages, and language variants
- priority engines and surfaces
- local products, prices, availability, regulations, and entities
- local domains, profiles, publishers, institutions, and communities
- local competitors
- native-language prompt or customer research
- localization owners and review process

## Workflow

1. Separate language from geography in the measurement design.
2. Build prompts from native-language demand; do not translate an English keyword list mechanically.
3. Preserve local phrasing, category names, currencies, units, locations, and decision criteria.
4. Run prompts on each target engine and classify cited sources.
5. Compare owned, earned, institutional, social, marketplace, and competitor citation shares.
6. Identify which local platforms and authorities recur in each engine.
7. Audit brand facts for local accuracy: products, prices, availability, policies, legal claims, and support.
8. Distinguish translation gaps from information gaps and entity inconsistencies.
9. Recommend channels only when the local citation market supports them.
10. Assign native-language review and freshness ownership.
11. Measure each language, country, and engine separately before rolling up.

Do not assume Reddit, YouTube, LinkedIn, TikTok, or a global publisher matters equally in every language.

## Output

Return:

1. Market prioritization with business value and evidence confidence.
2. Native-language prompt portfolio.
3. Engine-by-market citation map.
4. Local source and citation-neighbor shortlist.
5. Fact and entity consistency ledger.
6. Localized content and distribution plan with owners.
7. Measurement framework preserving language, geography, engine, and date.
8. Unknowns requiring native-speaker or legal review.