Competitor SEO Analysis

SkillDev tools

Analyze competitors' keywords, top pages, content structure, and backlink signals to find gaps. Use before content planning or when a competitor outranks the user.

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 Competitor SEO Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/competitor-seo-analysis/SKILL.md and read by ahel’s review.

Reverse-engineer what makes competitors rank, then find beatable gaps. Senior bar: SERP competitors (who ranks), not only business rivals.

When to use

  • Before content planning or market entry
  • When a named competitor outranks the user
  • Gap analysis for clusters

When not to use

  • Brand messaging comparison with no SEO angle (marketing competitor scan)
  • Inventing backlink metrics without seo-data-provider / exports

Workflow

  1. Identify 3-5 true SERP competitors for target keywords via web_search.
  2. For each, web_fetch top pages: title, H1-H3, depth cues, media, schema, IA clues.
  3. Map content cadence/topics from blog/resources if present.
  4. Content gap: topics they cover that the user does not (and vice versa).
  5. Backlink signals without paid tools: "competitor.com" -site:competitor.com mentions, directories, partners. With API: use seo-data-provider.
  6. Summarize replicate / beat / ignore; prioritize by winnability.
  7. Save seo/competitor-analysis-<date>.md.

Report format

## Competitor SEO - <user domain> vs <competitors>

### Who ranks and why
| Competitor | Strengths | Weaknesses | Evidence URL |

### Content gaps (our opportunities)
1. topic - competitor URL - angle to beat it - effort

### Link opportunities
- ...

### Priority actions
1. ...

Rules

  • Cite actual URLs for every claim.
  • Focus on beatable gaps, not "publish 200 articles".
  • Never invent domain rating / backlink counts; mark requires API data.
  • Feed results into keyword-research clusters and backlink-strategy.

Anti-patterns

  • Comparing only homepage copy
  • Listing giants (Amazon/Wikipedia) as "must beat" without niche angles

Signals

GitHub stars
22
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
competitor-seo-analysis
Source
github.com/navinspire-ia/navin