Link Prospecting Research
SkillWeb & browsingResearch link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds. Use when finding link prospects, creating link prospecting queries, mapping guest post/resource/directory opportunities, or producing a prospect research map before qualification or outreach.
Use Link Prospecting Research in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Link Prospecting Research and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Link Prospecting Research skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/link-prospecting-research/SKILL.md and read by Ahel’s review.
Use this skill to find potential link opportunities and produce a research map. Stop at research: do not qualify final targets, send outreach, submit forms, buy links, or promise acquisition.
This skill is derived from Garrett French and Eric Ward's Ultimate Guide to Link Building and uses transformed guidance with durable book-topic references. Do not copy book prose into user outputs.
Quick Start
- Use the Contents table below to choose the smallest useful reference set.
- Use
workflows/research-link-prospects.mdfor a full prospecting pass. - Start from available linkable assets and campaign goals.
- Build keyword classes, opportunity types, query patterns, competitor backlink angles, list sources, and autocomplete expansions.
- Return a deduped prospect research map with next qualification steps.
Default Output
When asked to research prospects, return:
- Objective and scope - site, target asset, audience, market, geography, and excluded tactics.
- Asset-to-opportunity fit - assets mapped to likely opportunity types.
- Keyword universe - market, customer, product, expert, competitor, geo, and adjacent vertical terms.
- Opportunity type map - query patterns, signals, asset fit, and priority.
- Query library - reusable research phrases, operators, footprints, and exclusions.
- Competitor backlink angles - patterns worth investigating.
- List-scrape and autocomplete sources - seed sets and filters.
- Risks and next actions - noise, paid/sponsored risk, spam risk, and qualification gaps.
Contents
| Need | Start Here |
|---|---|
| Understand prospecting concepts | references/core/knowledge.md |
| Apply research rules | references/core/rules.md |
| Use query pattern examples | references/core/examples.md |
| Run a research pass | workflows/research-link-prospects.md |
Core Posture
- Opportunity equals a linkable asset concept plus enough likely linkers.
- Query design should prequalify by asset fit and page type.
- More precise query segments beat digging deep into weak search results.
- Competitor backlinks are evidence, not an outreach-ready list.
- Final approval belongs to
link-prospect-qualification.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
link-prospecting-research- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins