Vantage discover

Skill macmenes/vantage/skills/vantage-discover

Vantage.os — Marketing Intelligence OS. The marketing brain inside your agent. /vantage interviews you, then delivers a beautiful, evidence-backed competitive teardown (Share-of-Voice, positioning map, battlecards). Web-only, no API keys.

Install

npx -y skills add macmenes/vantage --skill vantage-discover

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TRIGGER when the user needs to identify and tier the real competitor set for a brand/domain — "who are our competitors", "find our competitors", "build a competitor list", "competitive set", "who else is in this market". Part of the `vantage` suite. Produces a tiered, evidence-backed competitor set. DO NOT trigger for analyzing competitors already named (use the relevant vantage-* channel skill) or keyword-ranking rivals only (use seo-dataforseo).

SKILL.md

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Vantage-Discover — Build the Real Competitor Set

The most common failure in competitive analysis is analyzing the wrong set — the competitors leadership names instead of the ones the buyer actually considers. This skill builds the set from market evidence, tiers it, and caps the deep-dive to a workable size.

Web-only. See ../vantage/references/data-sources.md for sourcing patterns.

Method

Anchor on the subject brand. WebFetch its homepage; extract category, ICP, and the buyer problem it solves. The set is "who else solves this for this buyer."
Cast the net across five lenses (each surfaces a different rival type):
- SERP rivals — run 5–10 buyer queries for the category; collect domains that repeat on page 1. These are who the buyer sees.
- "Alternatives / vs" mining — "<brand>" alternatives, "<brand>" vs, best <category> 2026. Read the listicles and G2 "compare" tabs.
- Review-site neighbors — on G2/Capterra, the "competitors" and "compare" modules name the considered set directly.
- Ad rivals — who bids on the brand term (Google Ads Transparency) and who runs ads on the same angles (Meta Ad Library keyword search).
- Emerging/funded — <category> startup funding 2025 2026; catch entrants before they're obvious.
De-dupe and classify each candidate into a tier (below).
Tier and cap. Keep the top 5–7 for deep-dive by relevance to the subject's actual buyer; list the long tail so nothing's lost.

Tiering model

Tier	Definition	Treatment
Direct	Same buyer, same problem, substitutable	Full deep-dive
Adjacent	Overlapping buyer or partial-solution overlap	Deep-dive if it appears in deals/SERPs often
Aspirational	The category leader / who everyone benchmarks	Analyze for positioning even if "out of league"
Emerging	New/funded entrant changing the rules	Watch; analyze if momentum is real
Indirect	The status quo / DIY / "do nothing" / spreadsheets	Name it — often the real competitor for budget

Don't forget the indirect tier. For many growth/sales motions the biggest competitor is "the buyer keeps doing it manually," and the messaging must beat that.

Relevance scoring (to pick the deep-dive set)

Score each candidate 0–3 on: buyer overlap, problem overlap, how often it co-appears (SERP/reviews/deals), and momentum. Sum → rank → take the top 5–7. Show the scores so the cut is defensible.

Output

# Competitor Set — [Subject Brand]
*Category: [category] · Buyer: [ICP] · Prepared [date]*

## Deep-dive set (top N by relevance)
| Competitor | Tier | Buyer overlap | Why in set | Relevance |
|-----------|------|---------------|-----------|-----------|

## Long tail (named, not deep-dived)
[list with one-line each]

## Notable absences / blind spots
[markets/segments we couldn't see; sources that blocked fetching]

## Recommended deep-dive set → hand to /vantage
[the 5–7 to run channel teardowns on]

Then offer: "Run the full /vantage teardown on this set?"