OpenSEO Link Prospecting

SkillSearch

Find realistic link prospects with SERP and backlink evidence, discover contact paths via web tools, and draft personalized outreach — with targets saved to .seo/backlink-targets.json for off-page-seo campaigns. Use this skill when the user has a linkable asset (study, tool, guide, template, product page) and wants backlinks, resource-page inclusions, or comparison mentions. Triggers: "link prospecting", "find backlink opportunities", "resource page outreach", "get backlinks for", "link building outreach".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the OpenSEO Link Prospecting skill

What this skill tells your AI

The instructions your AI receives, as published by moizibnyousaf/marketing-cli in skills/openseo-link-prospecting/SKILL.md and read by ahel’s review.

Find pages, sites, and authors that might realistically reference the user's linkable asset — then hand off-page-seo a qualified target list at .seo/backlink-targets.json instead of a cold start.

On Activation

  1. Readiness + binding: mktg seo status --json --fields readiness,catalog.endpointError,project. not_configured → prospect with Exa search only (queries below still apply) and label authority data unknown. For a ready state, verify live access with the free whoami MCP tool before paid calls.
  2. Clarify the asset: what page/study/tool/template is being promoted and WHY someone would reference it. No clear asset + reason → fix that first; outreach without a reason is spam.
  3. Read brand/positioning.md for angle/audience fit (tolerate missing).

OpenSEO MCP Tools

  • get_serp_results: find ranking articles, listicles, resource pages, comparisons, statistics pages (≤10 queries per call).
  • get_backlinks_overview: competitor backlink/referring-domain patterns — where do THEY get links (may be unavailable; continue without).
  • get_backlinks_profile: page-level source/target/anchor/dofollow/lost/broken evidence. Preserve target scope, pagination, filters, and one-per-domain mode in .seo/backlink-targets.json provenance.
  • get_domain_overview: qualify strong prospect domains.
  • get_ranked_keywords: topical-fit checks on prospects/competitors.
  • research_keywords: expand prospecting queries.

Contact Discovery (NOT OpenSEO)

Contact paths come from web/search/browser tools (Firecrawl fetch, Exa search, browser automation) — never attribute these to OpenSEO:

  • Author byline pages, contact pages, editorial guidelines, about/team pages
  • LinkedIn/X/Bluesky profiles, newsletter mastheads
  • Public emails in HTML or visible text; Person/Organization/sameAs/email structured data

Record only contact details actually found, each with its source URL.

Prospecting Query Patterns

<topic> resources · best <category> tools · <competitor> alternatives · <topic> statistics · <topic> guide · <topic> examples · <topic> templates · <topic> software · <topic> for <audience>

Workflow

  1. Build 5–10 prospecting queries from the asset; get_serp_results in batches.
  2. Competitors supplied? get_backlinks_overview their strongest domains first.
  3. Filter: keep editorial pages, resource lists, comparisons, statistics, templates, curated directories. Drop homepages, login walls, thin affiliate, spam, and direct competitors (unless a comparison angle is valid).
  4. Per prospect, define the angle: broken/missing resource, better current data, useful tool/template, comparison inclusion, expert quote.
  5. Contact discovery on the strongest prospects via web tools (source URLs recorded).
  6. Write targets to .seo/backlink-targets.json:
{ "version": 1, "updatedAt": "<iso>", "asset": "<url>", "targets": [{ "url": "", "domain": "", "source": "", "relevance": "", "angle": "", "contactPath": "", "contactSource": "", "priority": "high|med|low", "status": "new" }] }
  1. Draft 2–3 reusable outreach messages (resource inclusion, article update, comparison angle). Hand the list to off-page-seo for the campaign cadence.

Output Format

Prospect URLDomainSourceRelevanceSuggested angleContact pathPriority

Anti-Patterns

  • Inventing emails, handles, or contact names — because a single fabricated contact burns the user's credibility with a real human. Only record what was found, with the source URL; otherwise name the next discovery step.
  • Attributing contact discovery to OpenSEO — because OpenSEO finds PROSPECTS; web/browser tools find CONTACTS. The misattribution teaches a wrong tool model and hides the real source when details need re-verification.
  • Mass-template outreach — because editors can smell a blast, and one spam report damages the domain's future deliverability. Personalize by page and reason, or don't send.
  • Prospecting without a linkable asset and reason — because "please link to my homepage" converts at ~0%. No asset + reason, no outreach.
  • Skipping competitor/paid-placement flags — because pitching a direct competitor or a pay-to-play listicle wastes the user's outreach capital and can backfire publicly. Flag both in the target list.

Close the loop

After writing files, log completion so mktg plan / mktg status count the work (bare mktg run only logs loaded):

mktg run openseo-link-prospecting --complete --writes <paths written> --result success --json

Adapted from every-app/open-seo .agents/skills/link-prospecting (MIT). Workflow upstream; mktg artifact paths, off-page-seo handoff, and contact-attribution discipline added here.

Signals

GitHub stars
31
Forks
5
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
openseo-link-prospecting
Source
github.com/moizibnyousaf/marketing-cli