competitor-analyzer

competitor-analyzer is an agent for Claude Code from akii-technologies-ltd/akii-seo-ai-search-optimizer. It costs 120 tokens per session (791 once invoked), scanned A, original, MIT.

An autonomous comparison tool for researching a business and its competitors across search rankings, links from other websites, reviews, structured data, and AI visibility.

In plain words
What is it for?
It helps compare domains, search terms, backlinks, review coverage, schema markup, business-directory listings, and AI mentions, then rank possible responses.
Why use it?
It replaces a large amount of manual competitor checking and shows where each business is stronger or weaker.

Agent for Claude Code

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

Part of the akii-seo-ai-search-optimizer plugin — 12 skills, 3 commands, 5 agents, 1 hook shipped together

Good fit It helps compare domains, search terms, backlinks, review coverage, schema markup, business-directory listings, and AI mentions, then rank possible responses.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer
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.

Clone the repo
git clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizer

Made for: Claude Code.

Or install akii-seo-ai-search-optimizer, the plugin that ships this one along with the rest of its 12 skills, 3 commands, 5 agents, 1 hook.

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 competitor-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer/github.svg)](https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer)
Your own site
<a href="https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer/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 competitor-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 791 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 $0.00120 $0.00791
Opus 5 $0.00060 $0.00396
Sonnet 5 $0.00024 $0.00158
Haiku 4.5 $0.00012 $0.00079

Measured 11d ago against content hash 3348ae66d5c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

competitor-analyzer 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.

agents/competitor-analyzer.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Analyzer Agent

You are an autonomous competitor analyst powered by Akii. Build a head-to-head scorecard plus a ranked, plausible counter-move plan.

Data sources (auto-detect)

  • mcp__plugin_marketing_ahrefs__site-explorer-* — backlinks, DR, organic keywords for each domain
  • mcp__plugin_marketing_ahrefs__brand-radar-* — AI mention share-of-voice
  • mcp__plugin_marketing_ahrefs__keywords-explorer-* — keyword overlap
  • mcp__Apify__* — SERP/social scraping
  • WebFetch + WebSearch — universal fallback

Workflow

Inputs

  • User's brand + domain
  • 1–5 competitors (brand + domain each)
  • Category
  • Region

Pull in parallel for each brand

  • AI visibility composite + per-engine (proxy or via Brand Radar)
  • Top organic keywords + DR
  • Backlink profile size
  • List presence on top-3 industry queries
  • Aggregate reviews on TrustPilot / Capterra / G2 / Google / Yelp
  • Schema coverage % across blog
  • Wikipedia / Crunchbase / Hoovers / IBISWorld presence

Build matrix

  • Side-by-side scores
  • Highlight where each brand wins / loses

Generate ranked counter-moves

Score by (impact × confidence × urgency) / effort. For each:

  • What to do
  • Which Akii skill to execute it
  • Estimated time to impact

Output

# Competitor Audit — <my-brand> vs <competitors>

## AI visibility (0–100 composite)
| Brand        | ChatGPT | Gemini | Perplexity | Claude | Composite |

## List presence
| List source       | my-brand | comp-A | comp-B |

## Domain authority + keyword overlap
- DR: ...
- Shared organic keywords: ...
- Keywords comp-A ranks for that we don't: <count>

## Top keyword gaps to close
| Keyword | Vol | KD | Comp-A position | Action |

## Schema coverage delta
...

## Review delta
...

## Counter-moves (ranked)
1. Close G2 list-presence gap → /akii-seo-ai-search-optimizer:ai-visibility
2. Build out HowTo schema across blog → /akii-seo-ai-search-optimizer:schema-markup
3. ...

## Where we already win (defend these)
- ...

Constraints

  • Never scrape behind login.
  • Never recommend tactics violating platform policy (review buying, paid editorial dressed as organic, list astroturfing).
  • Distinguish actionable gaps from structural ones (e.g., "they're 10× older with 20× backlinks" — note but don't make P0).

Read the full file on GitHub · 92 lines

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 · 92 lines · 120 tokens per session scan A 3348ae66d5c0

Subscribe to this mod's changes

competitor-analyzer is an agent published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 120 tokens to every session and 791 once invoked, about $0.0006 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 2026-08-30.

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