agentmods.dev

branded-vs-nonbranded

branded-vs-nonbranded is a skill for Claude Code from amirjahfar1/Google-Search-Console-GSC-MCP. It costs 49 tokens per session (421 once invoked), scanned A, original, MIT.

A Search Console report that separates searches for a company or website name from searches using other terms. Branded searches include the brand name; non-branded searches show reach beyond existing brand awareness.

In plain words
What is it for?
Use it to compare branded and non-branded clicks, impressions, click-through rates, rankings, and shares of total search traffic.
Why use it?
Brand searches often have high rankings and click rates, which can make overall search growth look stronger than it is. Separating them shows how well the site attracts new searchers.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the google-search-console-gsc-mcp plugin — 12 skills, 1 MCP server shipped together

not rated 0repo 2mo ago A scan 49 tokens original MIT

Good fit Use it to compare branded and non-branded clicks, impressions, click-through rates, rankings, and shares of total search traffic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded
View source ↗ amirjahfar1/Google-Search-Console-GSC-MCP
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add amirjahfar1/Google-Search-Console-GSC-MCP --skill branded-vs-nonbranded
Clone the repo
git clone --depth 1 https://github.com/amirjahfar1/Google-Search-Console-GSC-MCP

Made for: Claude Code.

Or install google-search-console-gsc-mcp, the plugin that ships this one along with the rest of its 12 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for branded-vs-nonbranded

README.md
[![agentmods](https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded/github.svg)](https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded)
Your own site
<a href="https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded"><img src="https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for branded-vs-nonbranded

Your own site · 80×15
<a href="https://agentmods.dev/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded"><img src="https://agentmods.dev/badge/skills/amirjahfar1/google-search-console-gsc-mcp/branded-vs-nonbranded.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 421 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00421
Opus 5 $0.00024 $0.00211
Sonnet 5 $0.00010 $0.00084
Haiku 4.5 $0.00005 $0.00042

Measured 11d ago against content hash bc9b3340e4f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

branded-vs-nonbranded scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/branded-vs-nonbranded/SKILL.md · 34 lines

What it actually says

Branded vs Non-Branded Query Split

Branded queries (containing the site's brand/company name) inflate overall performance numbers with high CTR and position-1 rankings. This skill isolates non-branded performance to show real organic reach.

Steps

  1. Call list_properties to confirm the exact site_url.
  2. If the brand name/term isn't already known, ask the user for it (accept multiple variants comma-separated, e.g. "Nike, Nike shoes, common misspellings").
  3. Call get_advanced_search_analytics with:
    • dimensions=query
    • filter_dimension=query, filter_operator=contains, filter_expression=<brand term>
    • row_limit=1000
    • This gives the branded totals.
  4. Call it again with filter_operator=notContains on the same brand term for the non-branded totals. If multiple brand variants were given, use the filters JSON array with one notContains entry per variant (AND logic excludes all of them).
  5. Sum clicks/impressions for each group and compute each group's % share of total clicks.
  6. Compare CTR and position between branded and non-branded — branded queries typically have much higher CTR, so don't let them mask weak non-branded rankings.

Output format

  • Branded vs Non-Branded totals table: Clicks | Impressions | CTR | Position | % of total clicks
  • Top 10 non-branded queries (the real organic growth signal)
  • One-line takeaway on how brand-dependent the site's current traffic is

Run content-opportunities with a notContains brand filter to make sure surfaced "opportunities" aren't just branded queries in disguise.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 34 lines · 49 tokens per session scan A bc9b3340e4f3

Subscribe to this mod's changes

branded-vs-nonbranded is a skill published in the GitHub repository amirjahfar1/Google-Search-Console-GSC-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 421 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.

Analytics and metricsMarketing and SEO
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens