Overview
The SEO/AEO Diagnostic Assistant is used to answer “Can this be cited by AI?”, SEO, GEO, and content growth questions. It is suitable for marketing, operations, product, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as website pages and SEO clues, pasteable page body text, title tags, navigation structure, keyword notes, search performance explanations, or existing... to organize key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables for continued execution, review, or delivery.
When to Use
Applicable Scenarios
- Users ask questions like “Can this be cited by AI?” and need to quickly break down goals, determine priorities, and form executable results
- Marketing, operations, product, and software need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the SEO/AEO Diagnostic Assistant
- Users have already prepared audit goals (for example, increasing organic traffic, improving AI citations, fixing content structure, increasing inquiries, or identifying content gaps.), target search users (describe the search audience, buying roles, intent stages, or main usage scenarios.), and pages or site links to audit (fill in pages, sections, sitemaps, or public case links that can be accessed without logging in.), and want to organize them into executable analysis or optimization results
- Users need to turn materials related to the SEO/AEO Diagnostic Assistant into clear conclusions, priorities, and next steps
How to Invoke
Call the AI Skills API directly through the exported Python runner:
Command Examples
Basic Invocation
python3 scripts/run.py --params '{}'
Invocation with Common Parameters
python3 scripts/run.py --params '{"goal":"审计目标"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
goal |
string | No | - | For example, increasing organic traffic, improving AI citations, fixing content structure, increasing inquiries, or identifying content gaps |
audience |
string | No | - | Describe the search audience, buying roles, intent stages, or main usage scenarios |
materialUrl |
string | No | - | Fill in pages, sections, sitemaps, or public case links that can be accessed without logging in; complete accessible URLs must be provided |
materialFile |
string | No | - | Supports web page exports, site inventories, keyword lists, content inventories, screenshot descriptions, or audit documents |
materialText |
string | No | - | Can paste page body text, title tags, navigation structure, keyword notes, search performance explanations, or existing audit findings |
brandRequirements |
string | No | - | Supplement brand tone, facts that must be retained, prohibited expressions, industry compliance restrictions, or internal guidelines |
For the complete machine-readable parameter structure, see references/form-schema.json。
Parameter Value Reference
The current skill has no categorical parameters that require additional lookup.
Supported Input Formats
The current skill directly accepts JSON parameters; if the parameters contain link fields, provide complete, accessible URLs.
Example Request
The following example parameters can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.
python3 scripts/run.py --params '{"goal":"审计目标"}'
Equivalent --params JSON:
{
"goal": "审计目标"
}
Example return result
{
"success": true,
"data": {
"message": "示例结果请以技能真实返回结构为准。"
},
"meta": {
"executionTime": 842,
"cached": false
}
}
Deliverables
- Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
- Interpretation of input materials: combine the audit goals (for example, increasing organic traffic, improving AI citations, fixing content structure, increasing inquiries, or identifying content gaps.), target search users (explain the search audience, buying roles, intent stages, or main use scenarios.), pages or site links to be audited (fill in pages, sections, sitemaps, or public case links that can be accessed without logging in.) to extract key context and the basis for judgment.
- Next steps: provide priorities, execution suggestions, or a content framework that can continue to be developed.
Suggestions for using the results
- First determine whether the output answers the user's core question about the "SEO/AEO Diagnostic Assistant".
- Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether clear next steps are given.
- If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.
Preparation before running
AISKILLS_BASE_URL: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault