# Research Emerging AI Keywords

New AI products can create search opportunities that are difficult to prioritize. This skill organizes keyword candidates using demand, trends, and competition data.

## Install

```bash
npx skillstore add zhuyansen/seo-new-keywords-research
```

## Metadata

- Status: approved
- Slug: zhuyansen-seo-new-keywords-research
- Skillstore revision: r2
- Version status: missing
- Tree hash: 31db6b01a12f3461f205db463cd05b9bf3235d636c093b97768f8905e1e3dbaf
- Author: zhuyansen
- GitHub username: zhuyansen
- License: MIT
- Repository: https://github.com/zhuyansen/new-term-radar/tree/e1ce49e83dfefeb985b1db24d173cb785ca75dbc/skills/seo-new-keywords-research
- Ref: 1ac96f2048361bd348a3f97a5370c8f3f4c494c1
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network, filesystem, env\_access
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/zhuyansen-seo-new-keywords-research
- Manifest: https://skillstore.pages.dev/api/skills/zhuyansen-seo-new-keywords-research/manifest

## Capabilities

- Extract up to five product, model, tool, or repository names from supplied text.
- Run a pinned new-term-radar release after the user approves the estimated cost.
- Compare name and generic keywords using available volume, trend, and competition data.
- Organize keyword decisions as prioritize, watch, or skip with short explanations.
- Flag branded terms, failed sources, and limits in available trend estimates.
- Summarize relevant markets, search results, and existing site actions when data is available.

## Use Cases

- Prioritize content topics: Compare emerging product names with related generic search terms before planning articles.
- Assess product opportunities: Review demand, market data, and search competition for possible tools.
- Investigate market signals: Extract new AI names from release notes or listening reports and rank their keywords.

## Prompt Templates

### Research one name

```
Research keywords for [AI product]. Estimate the cost and wait for my approval.
```

### Compare product names

```
Compare keywords for [name one] and [name two]. Include generic terms and explain each decision.
```

### Analyze a market report

```
Extract up to five recent AI product names from [text]. Tell me which names you selected and estimate the research cost.
```

### Plan search opportunities

```
Research [names] and [repository mappings]. Compare relevant markets, page-one competition, and existing site actions when available.
```

## Limitations

- Requires Python 3.10 or newer and the external new-term-radar package.
- Requires an AIsa API key and paid lookups; the optional GoAnyAPI key adds data.
- Search volume estimates are approximate and may lag by about two months.
- Missing sources or credentials can reduce coverage and weaken trend readings.

## Best Practices

- Provide specific product names or source text with recent release context.
- Approve the estimated paid lookup cost before starting the external command.
- Review source failures, branded terms, and estimate quality before making decisions.

## Anti Patterns

- Treat estimated search volume as an exact count.
- Assume a brief product-name spike represents lasting generic demand.
- Treat missing source data as proof that a market has no demand.

## Security Audit

- Audited at: 2026-10-27T09:14:06.642\+00:00
- Summary: Most detections are Markdown formatting, documentation links, or keyword terminology rather than malicious commands. The workflow executes an external package with paid API credentials, but its implementation was not included in the review.

## Stats

- Views: 0
- Downloads: 6
- Favorites: 1
- Popularity score: 0