GTM Strategy

Produce a go-to-market strategy — target segment, messaging, channel/motion mix, success metrics, and a phased launch plan — where the segment choice, each message, and each channel is justified by what customers actually said and the market context around them. Grounding turns a plausible launch deck into one you can defend with quotes.

Step 0 — Relevance & availability

Confirm this is a launch / go-to-market task and Evermuse is connected. If the tools aren't present, produce a framework-only GTM plan labeled ⚠ ungrounded — Evermuse not connected and tell the user to authorize the MCP. See ${CLAUDE_PLUGIN_ROOT}/skills/using-evermuse/SKILL.md Step 0.

Evermuse Grounding (required)

Follow ${CLAUDE_PLUGIN_ROOT}/skills/using-evermuse/SKILL.md.

Required — one parallel batch of searches. Verify the product (Rule 1), then fire in a single parallel batch:

• 3–4 evidence searches, each worded from a different angle (limit up to 50). Evidence comes back rich and varied — expect large, useful result sets.
• one guidance search and one context search (limit up to 50). These are usually sparse or empty; run them anyway and note when they're thin.

Read each response's digest — it reports how many more results exist. Use judgment on whether a query is worth pulling deeper (raise limit toward the 100 max and/or page with next_offset to avoid repeats), weighing payload size, remaining context, task complexity, and the value of the data. For deep pulls, consider spawning sub-agents — instruct them to return every citation with the same metadata the tools return (url, who_said_it, meeting_name, created_at) so you can still cite.

Optional — considered use. Once grounded, reach for the other tools only when they add value: a quote-angled search for verbatim voice, read_source for a single deep dive, inline citations (references/citations.md), and add_source to save the deliverable. Sources, citations, and saving are optional — not required.

Instructions

You are planning the go-to-market for $ARGUMENTS. Where the source method reaches for "web search / user-provided data," use Evermuse evidence (customer voice) as the primary source and context (market) as secondary.

1. Target segment & positioning

Name the segment you launch into and why — the strongest, most-cited burning pain wins. Anchor it in an evidence quote. (If the beachhead is genuinely undecided, run /evermuse:beachhead-segment first and feed its result here.) State the one-line value proposition in the customer's language.

2. Messaging — mined, not invented

Develop messaging where every message maps to a verbatim quote that proves it resonates:

• Core value proposition for the segment (the "what after" they described).
• 3–5 key differentiators — each tied to a pain quote (evidence) or a gap in an alternative (context).
• Proof points: the sharpest customer quotes, reusable as social proof.
• Channel-specific variations only where the audience differs. Reject any message you can't back with a quote — that is the tell of a generic deck.

3. Channels & GTM motions

Choose the acquisition mix. Score the 7 GTM motions for this product (below), ground the top choices in where evidence shows customers actually found tools like ours, then commit to a motion stack of 2–4: one primary, the rest complementary, in a sequence.

The 7 GTM motions (pick the fit, don't run all seven):

• Inbound — content, SEO, webinars, thought leadership. Best for B2B SaaS, technical buyers, long cycles. Slow to compound but builds authority.
• Outbound — cold email, LinkedIn, ABM-style prospecting. Best for enterprise, high ACV, niche lists. Predictable but resource-heavy.
• Paid digital — search/social/display ads, retargeting. Fast and measurable; expensive and needs constant tuning.
• Community — forums, Slack/Discord, user groups, ambassadors. Low CAC, high loyalty; slow to reach critical mass.
• Partners — integrations, co-marketing, marketplaces, resellers. Borrowed reach and credibility; alignment overhead.
• ABM — high-value accounts treated as individual markets. Higher conversion and deal size; not SMB-scalable.
• PLG — free trial/freemium, in-app onboarding, self-serve. Low CAC and strong PMF signal; demands an excellent product experience.

Match to product reality: ACV, sales-cycle length, buyer type, complexity, and where the evidence shows these customers already hang out. Most launches win with 2–4 complementary motions (e.g. inbound for brand + outbound for pipeline; PLG to lower CAC + paid to accelerate a proven channel).

4. Success metrics

Define KPIs across the funnel: awareness (reach), engagement (CTR, activation), conversion (signups, demos, trials), revenue (MRR, CAC, LTV), and market (segment penetration). Establish baselines before launch. For a formal North Star + input-metric tree, hand off to /evermuse:north-star-metric.

5. Launch plan (90 days)

Phase it: pre-launch (assets, channel setup, baseline metrics) → launch (announcement, activities) → post-launch momentum (content, partnerships, community) → measure & optimize cadence, with go/no-go criteria.

Deliverable format

# GTM Strategy — [product]

**Target segment:** [segment] — burning pain: > "[quote]" — [attribution] [`1`](URL). Why now: [context, cited [`2`](URL)].

**Positioning (one line):** [value prop in customer language]

**Messaging**
| Message | Proof quote (evidence) | Maps to differentiator |
|---|---|---|
| [message] | > "[verbatim]" — [attribution] [`3`](URL) | [diff] |

**Motion stack:** Primary — [motion] ([why, grounded [`4`](URL)]); Secondary — [motion(s)]. Sequence: [order].

**Success metrics:** North Star [metric] · Funnel KPIs [awareness → revenue] · Baselines [values].

**90-day launch plan:** Pre-launch → Launch → Post-launch → Optimize. Go/no-go: [criteria].

Save & hand off

After saving, offer next steps: "Lock the beachhead?" (/evermuse:beachhead-segment), "Sharpen positioning & campaigns?" (/evermuse:positioning-and-messaging), "Define the North Star?" (/evermuse:north-star-metric), or "Build a battlecard for the top competitor?" (/evermuse:competitive-battlecard).

Further reading

• Merged and adapted from phuryn/pm-skills gtm-strategy + gtm-motions (MIT); grounding is Evermuse-native.
• 5 GTM Principles You Should Know as a PM
• OpenAI's Product Leader's 3-Layer Distribution Framework
• How to Design a Value Proposition Customers Can't Resist?