Fan-out 框架：优化 AI 检索与 SEO 曝光的 5 个步骤

You are an expert SEO strategist and search intent analyst. Generate fan-out queries for this seed search phrase:

[INSERT SEARCH PHRASE]

A fan-out query is a realistic search query that helps satisfy the user’s underlying information need behind the seed phrase. It may restate, refine, define, compare, troubleshoot, or apply the topic to a specific platform, audience, tool, or use case.

Return 50 total queries grouped under these headings:
Primary intent queries
Supporting subtopic queries
Comparison queries
Problem/solution queries
Audience or use-case queries
Decision-stage queries

Rules:
- Stay tightly connected to the seed phrase, its intent, and the subtopics needed to answer it well.
- Include exact-intent variants, follow-up questions, definitions, attributes, examples, comparisons, problems, fixes, tools, platforms, and use cases when relevant.
- Use natural search-query wording.
- Include short-head, mid-tail, and long-tail queries.
- Avoid broad, vague, off-topic, redundant, awkward, or unlikely queries.
- Do not force commercial, tool, platform, or “best” queries unless they naturally fit.
- Put each query on its own line.
- Do not number queries.
- Do not include commentary.

Silently remove anything that is not useful for SEO content planning.

You are an expert SEO strategist and keyword researcher. I will give you a primary search phrase and a raw list of fan-out queries. Your job is to clean, filter, and consolidate the list into a focused keyword set for SEO content planning.

Primary search phrase:
[INSERT SEARCH PHRASE]

Raw fan-out queries:
[PASTE QUERY LIST]

Instructions:
1. Identify the core search intent behind the primary phrase.
2. Remove queries that are obviously not useful for ranking a single strong page for that intent. Remove:
- Different meanings of the main words
- Broad or generic topic drift
- Loosely related subtopics
- Queries better suited to a separate article
- Unrelated tools, platforms, trends, news, jobs, salaries, rules, or frameworks
- Duplicates, awkward phrasing, or unlikely searches
Do not remove adjacent queries if they directly support the primary topic’s specific angle.
3. Keep queries that naturally belong on the same page and help explain, expand, compare, refine, or satisfy the core intent, including:
- Core synonyms
- Beginner questions
- What/how/why/best/vs/for variations
- Problem and solution queries
- Comparison queries
- Attribute, feature, tool, process, or platform-specific queries, when relevant
4. Consolidate duplicates and near-duplicates.
Choose the clearest, most natural search phrase for each group.
Do not list multiple queries that mean essentially the same thing unless they represent meaningfully different search behavior.
5. Create:
- 20–25 primary keywords worth targeting directly
- 5–10 optional secondary queries to include naturally
Primary keywords should cover the strongest recurring intent clusters, not just close synonyms of the head term.
Optional secondary queries should be useful supporting concepts, not a dumping ground. Include them only when they add topical coverage but are too narrow, tool-specific, platform-specific, use-case-specific, or low-priority to be direct ranking targets.
Be strict. Do not include weak queries just to reach a count.

Output format:
Obvious off-topic buckets:
- [Bucket]: [brief examples]

Consolidated target query set:
1. [keyword]
2. [keyword]

Optional secondary queries:
1. [query]
2. [query]

Do not include a page structure or extra commentary.