Competitor Traffic Report logo

Competitor Traffic Report

Organization
OpenClaudia
competitor-traffic-report

Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with ranked charts, a three-month trend, a multi-year overlay and a data table. Use when asked to benchmark a product against competitors, size up a market, answer "how much traffic does X get compared to Y", build a competitive landscape, or produce a traffic/authority comparison deck or page.

Overview

PublisherOpenClaudia
Repositoryopenclaudia-skills
Skill namecompetitor-traffic-report
Stars
714
Forks
60
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 OpenClaudia on GitHub. Read the source before you install it.

Installation

Install the Competitor Traffic Report 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/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-traffic-report
  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/OpenClaudia/openclaudia-skills.git /tmp/openclaudia-skills
mkdir -p .claude/skills
cp -r /tmp/openclaudia-skills/skills/competitor-traffic-report .claude/skills/competitor-traffic-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Traffic Report 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 Traffic Report 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 Traffic Report 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.

competitor-traffic-report

Three metrics, three different questions. Do not average them or treat one as a proxy for another:

MetricSourceAnswers
Monthly visitsSimilarWebtotal demand, every channel
Organic trafficAhrefshow much of it search is producing
Domain RatingAhrefsbacklink authority — the structural position

Visits and organic move on a single viral page. DR does not, which is why a gap in DR says more about where a company actually sits than a good traffic month does.

Run

bash
export AHREFS_API_KEY=...   # required
export BRANDDEV_API_KEY=...  # optional, for logos
S=skills/competitor-traffic-report/scripts

node $S/fetch-traffic.js acme.com rival1.com,rival2.com,rival3.com --out /tmp/data.json
node $S/build-report.js /tmp/data.json "AI presentation tools, ranked" --out /tmp/report.html

Open the HTML, or publish it with the Artifact tool. It is self-contained — logos inlined as data URIs, no external requests — so it survives a strict CSP.

The focus domain is coloured orange and ranked in every chart; competitors take a five-step blue ramp ordered by rank, so colour carries magnitude instead of being decoration.

Choosing the competitor set

Whoever asked usually names three or four. Fill the set out to 20–40 before running: a five-company chart cannot show where anyone sits, and the interesting findings (how much of the market one player holds, how many are shrinking) need the tail. Sources for names, cheapest first:

  • the client's own "alternatives to X" and comparison pages;
  • an X alternatives / best X tools SERP, read deep enough to reach the top 100;
  • Ahrefs competitors_overview for domains ranking on the same keywords.

Drop anything that is not a real peer: a general-purpose giant (Adobe, Google) dominates every chart while competing for none of the same buyers, and its presence compresses everyone else into the bottom decile. Same for a friendly company the requester does not consider a rival — ask.

Subdomains are already counted. SimilarWeb's root-domain figure includes them, so listing both acme.com and app.acme.com double-counts and buries the real number. (Verified: wikipedia.org 3.53B vs en.wikipedia.org 0.88B.) List the root only.

Constraints worth knowing before the first run

  • SimilarWeb rate-limits by IP, roughly 15 calls per window, and the block lasts hours. The script paces at 15s and still misses on a long list — rerun to fill gaps, or spread a 40-domain set across two sessions. The X-Extension-Version header is mandatory; a browser User-Agent alone returns 403.
  • A returned 0 means "below SimilarWeb's detection floor", not "no traffic". The template drops those from the charts rather than ranking a live site last. For a domain you own, read Search Console instead.
  • Ahrefs organic uses mode=subdomains. Domain mode silently excludes the www. host, which reads as an empty site for anyone whose canonical is www..
  • The free DR endpoint costs no API units. Organic history does — one row per month per domain.

Publishing the report

The Ahrefs licence (ahrefs.com/legal/domain-rating-license) grants a royalty-free right to display and publish DR data provided the attribution Domain Rating by Ahrefs appears next to it with a live link. The template ships that line; do not remove it. The same licence prohibits reselling the data or using it to build something that competes with Ahrefs.

Reading the result

The report shows position. The story is usually in a gap between two of the three metrics:

  • Organic rank far above visits rank — search is carrying more than its share; paid, social or direct is the thin part.
  • DR far above organic — the authority is there and the content is not converting it. This is the most actionable gap, because it is a content problem, not a link-building one.
  • DR far below peers at similar traffic — the traffic is bought or borrowed, and it stops the moment spend stops.
  • A near-identical name at a fraction of the DR (brand.app at DR 87 vs brand.com.ai at 38) is a copycat domain, not a competitor.

State the denominator and the window beside any figure taken from this report. Both sources are modelled estimates, least reliable exactly where it matters most — the small end.

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 Traffic Report AI skill do?

Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with ranked charts, a three-month trend, a multi-year overlay and a data table. Use when asked to benchmark a product against competitors, size up a market, answer "how much traffic does X get compared to Y", build a competitive landscape, or produce a traffic/authority comparison deck or page.

Why use Competitor Traffic Report on TypingMind?

Because you install it once and use it with any model. Competitor Traffic Report 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 Traffic Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/competitor-traffic-report. 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 Traffic Report?

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 Traffic Report?

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

Is the Competitor Traffic Report AI skill free?

Yes. It is published on GitHub by OpenClaudia 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇