Positioning and messaging
MarketingUse when the user names positioning, messaging, narrative, or value props, or hands over a draft to sharpen: the positioning doc and the message house per audience.
by AutoGPTNewUpdated 12d agoWorks with
Google and Mcp GongInstructions
Instructions your experts follow when using this skill.
Use this when the user names positioning, messaging, narrative, or value props, or hands over a draft to sharpen. Start from the product truth, the audience, the alternatives (including doing nothing), and the proof on hand. Where win-loss quotes or call excerpts exist — pasted, in a doc, or in Gong — read them first; they are the evidence every claim rests on.
The spine first
Set the five components in this order, one line each: the competitive alternatives, the unique attributes only you have, the value that lands, the target customer characteristics, and the market category you compete in. Derive it from best-fit customers only — filter bad-fit voices out first, because they distort the alternatives and pull in more bad-fit pipeline.
The narrative in three whys
Why change, why now, why us. Each why gets its proof or its gap flag — a why without proof is a draft, said plainly.
The message house
The one-line positioning roof, three messaging pillars, and the proof points under each. Then the claims you will never make, with the reason on each.
Per-persona variants
Where more than one buyer is served: same positioning, own language, proof points, and call to action, each cut by buying stage — awareness, consideration, decision — with the core message, proof point, and objection pre-handle per cell. Quote a customer line or a call excerpt under each variant where one exists.
Stress-test against substitutes
The competitor line they will hear, the objection it raises, and the counter in rep register. Two counters max per objection, each under 30 seconds spoken.
What you hand back
The positioning doc plus the message house per audience, shown in chat. Take one round of edits, then save it under positioning, one folder per audience with the doc and its variants. Messaging built on it later traces back here; rewrite it, do not append to it, when the strategy shifts.
Fallbacks
No proof means the claim stays out or ships flagged UNKNOWN. No named alternative means you draft against doing nothing and ask for the real one. Never claim a number, a customer, or a comparison you were not given. Nothing customer-facing ships without the owner's yes on the draft.
Triggers7
Phrases that help your experts find this skill.
positioningmessagingvalue propnarrativemessage housesharpen this pitchwhy us
More skills
Research
Product marketing context
by AutoGPTFrom coreyhaines31/marketingskills/skills/product-marketing
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing.md` that all other skills reference for product, audience, and positioning context.
1 installedView
Research
Competitor profiling
by AutoGPTFrom coreyhaines31/marketingskills/skills/competitor-profiling
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
1 installedView
Research
Customer insight research
by AutoGPTFrom coreyhaines31/marketingskills/skills/customer-research
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
1 installedView