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Competitor Positioning

Organization
swan-gtm
competitor-positioning

Use this skill when you need to know how competitors present themselves to the market — homepage messaging, value props, CTAs, pricing models, content themes — and how that evolves over time. Produces a marketing briefing: a messaging matrix, per-competitor positioning profiles, content gap analysis, a positioning white space map, and battlecard inputs, with before/after tracking of every shift. Reach for it when someone says "competitor positioning", "messaging comparison", "content gap", "what changed on their site", "landing page teardown", "marketing battlecard", "how do they describe their product", or "counter-messaging".

Overview

Publisherswan-gtm
Repositorygtm-skills
Skill namecompetitor-positioning
Stars
216
Forks
103
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by swan-gtm on GitHub. Read the source before you install it.

Installation

Install the Competitor Positioning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/swan-gtm/gtm-skills/tree/main/skills/alon-goldenberg/competitor-positioning
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/swan-gtm/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/alon-goldenberg/competitor-positioning .claude/skills/competitor-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Positioning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Competitor Positioning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Competitor Positioning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Runs when a marketing team needs to see how competitors position themselves on their own websites and content — on a recurring cadence, before a messaging refresh, or ahead of a launch.

Produces a marketing briefing, not a signal feed: messaging matrix, positioning profiles, content gaps, white space, and recommended actions — every insight answering "what does this mean for our messaging?"

Pick the mode before doing anything

Keep a running file per competitor in your workspace (format: references/snapshot-format.md). At the start of every run, load those files and check when you last ran:

  • Full snapshot — first run, or no prior snapshots, or last run more than 14 days ago. Capture everything.
  • Delta mode — last run within 14 days. Research the same pages, but the output reports only what changed. A delta run that re-narrates the whole landscape buries the one tagline change that matters.
  • Same-day repeat — already ran today? Ask before re-running; don't silently burn research effort on pages that haven't changed since the morning.

If you also keep business-signal notes on these companies (funding, hiring, leadership changes), load those too — they often explain why positioning shifted, e.g. a funding round preceding an enterprise-messaging pivot.

Confirm scope

Work from the confirmed competitor list. If a competitor profile already exists in this workspace (from a prior run or a competitor-monitoring setup), load it and confirm it's still current; otherwise ask the user for their domain and the competitors they care about, propose any obvious additions, and get an explicit yes on the final list before spending research time. Four or fewer competitors: analyze all. More: ask which to focus on this run — group them by category and let the user pick. Every competitor costs real research time; don't spend it on companies nobody asked about.

Capture your own baseline first

Before touching any competitor, capture your own positioning from the user's own domain (confirmed during setup) the exact same way you'll capture theirs — otherwise the messaging matrix has an empty row where "us" should be, and the comparison collapses into a list.

  1. Map the site (sitemap or crawl) to find the real features/product and pricing URLs — don't guess paths.
  2. Extract the homepage, features page, and pricing page as clean text: tagline, hero copy, primary CTA, value props, tier names.
  3. If a page won't extract, note "page not accessible" and continue — a partial baseline beats none.

Research each competitor in parallel

Run one research thread per competitor, all in parallel — the protocol is identical per company and none depends on another. Give each thread the competitor's name, domain, and its previous snapshot from your workspace (or "first run — no comparison"). The full per-competitor protocol — discovery, extraction order, search queries, and the exact output sections each thread must return — is in references/research-protocol.md. Read it before launching.

The shape: map the site structure first (what pages exist and don't exist is itself a positioning signal — no public pricing page usually means sales-led), then extract homepage / features / pricing, then find and read 2–3 recent blog posts and the case-study pages, then diff against the previous snapshot.

If a thread fails outright, run its steps directly yourself rather than dropping the competitor. If its blog haul is thin (fewer than 2 posts), pull additional posts from its search results before analyzing.

Analyze for a marketing audience

Frame everything in the language the team works in: messaging hierarchy, battlecard inputs, content calendar implications. When reading blog content, look for recurring narratives, audience targeting (developers vs. executives vs. practitioners), whether they name competitors or position against a category, the keywords their titles chase, and content maturity (original research vs. generic how-tos).

Assemble the briefing using the exact structure in references/briefing-formats.md — full-snapshot layout or delta layout depending on mode. The non-negotiables:

  • Verbatim quotes for taglines, CTAs, and value props. Paraphrase destroys the evidence — "streamline your workflow" and "ship faster" are different positioning even if they feel the same.
  • Every claim links to its source page.
  • Deduplicate against the snapshots. In delta mode, surface only genuinely new changes; say "no positioning changes detected" rather than padding.

Save the snapshots

After the briefing, update your workspace — this is what makes the next run a delta instead of another cold start:

  • Save the full briefing (not a summary) as the dated report of record.
  • Update each competitor's snapshot file per references/snapshot-format.md, appending a dated entry to its History section describing what changed. The History section is the before/after trail battlecards and "when did they pivot?" questions draw on.
  • Note the run date so the next run can pick its mode.

Battlecards on demand

When someone asks for a battlecard on a specific competitor, build it from that competitor's snapshot plus your own baseline using the battlecard layout in references/briefing-formats.md. If the snapshot is missing or older than 14 days, refresh that one competitor first — a battlecard built on stale messaging gets a rep corrected in a live call. The battlecard must include a "Where they win" section written honestly; a battlecard that claims you win everywhere is one sales will stop trusting.

What good looks like

  • The best operator reads the site structure before the copy: a pricing page that disappeared, a new /enterprise path, a docs subdomain appearing — architecture shifts telegraph strategy quarters before the blog admits it.
  • The mediocre version is a screenshot tour: paraphrased taglines, no baseline row for your own company, no memory between runs, every run a "full snapshot" that never says what changed — and insights with no "so what" for the messaging team.
  • Output is good when the messaging matrix quotes are verbatim and sourced, delta mode reads in under two minutes because it contains only changes, each recommended action names a competitor claim and the counter-move, and a snapshot file's History section lets you reconstruct exactly when a competitor's story pivoted.

Rules

  • MUST use verbatim quotes for taglines, CTAs, and value props — never paraphrase quoted messaging.
  • MUST link every claim in the briefing to the source page it came from.
  • MUST capture your own baseline in every full-snapshot run before comparing.
  • MUST update the per-competitor snapshot files after every run, including a dated History entry.
  • NEVER present a guess about an inaccessible page as extracted data — write "page not accessible" and move on.
  • NEVER pad a delta report with unchanged material; "no positioning changes detected" is a valid, complete finding.
  • NEVER produce a battlecard without a "Where they win" section.
  • NEVER analyze business signals like funding, hiring, or product launches here — that's a separate research motion; this skill covers only how companies present themselves.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Competitor Positioning AI skill do?

Use this skill when you need to know how competitors present themselves to the market — homepage messaging, value props, CTAs, pricing models, content themes — and how that evolves over time. Produces a marketing briefing: a messaging matrix, per-competitor positioning profiles, content gap analysis, a positioning white space map, and battlecard inputs, with before/after tracking of every shift. Reach for it when someone says "competitor positioning", "messaging comparison", "content gap", "what changed on their site", "landing page teardown", "marketing battlecard", "how do they describe t...

Why use Competitor Positioning on TypingMind?

Because you install it once and use it with any model. Competitor Positioning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Competitor Positioning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swan-gtm/gtm-skills/tree/main/skills/alon-goldenberg/competitor-positioning. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Competitor Positioning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Competitor Positioning?

As many as you like. As long as a model supports skills, you can use Competitor Positioning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Competitor Positioning AI skill free?

Yes. It is published on GitHub by swan-gtm under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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