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.
git clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizerWrote 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.
[](https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-analyzer)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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 domainmcp__plugin_marketing_ahrefs__brand-radar-*— AI mention share-of-voicemcp__plugin_marketing_ahrefs__keywords-explorer-*— keyword overlapmcp__Apify__*— SERP/social scrapingWebFetch+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).
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.
- 11d ago First seen · 92 lines · 120 tokens per session scan A 3348ae66d5c0
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.
Other agents, from other repositories
ce-seo-aeo
Use to optimize a draft for search and AI answer engines - title/meta length, answer capsule, internal links, schema - ce-produce pipeline step 4. Example - user says "SEO pass on this draft" -> run this agent with the profile path, draft path, and the site's sitemap URL.
ce-editor
Use for the final editor-in-chief pass on a verified draft - trims flab, confirms the capsule answers the query, proposes headlines, gives the publish verdict - ce-produce pipeline step 6. Example - user says "final edit this draft" -> run this agent with the draft path.
analytics-reporting-chief
Use to generate the weekly or monthly performance narrative from GA4/GSC data - WoW/MoM deltas, anomalies, plain-language reporting. Reads the organic-os site profile for context. Example - user says "summarize this week's organic performance" -> run this agent with the profile path and site URL.
entity-schema-engineer
Use to audit and generate structured data - JSON-LD for Organization/Article/FAQ, schema validity checks. Reads the organic-os site profile for context. Example - user says "does example.com have valid schema" -> run this agent with the profile path and site URL.
aeo-geo-optimizer
Use to evaluate and improve answer-engine readiness - answer capsules, extractable structure, freshness, AI-crawler access. Reads the organic-os site profile for context. Example - user says "is example.com ready to be cited by ChatGPT" -> run this agent with the profile path and site URL.
ce-brand-auditor
Use to check a draft against the site's brand voice and banned-phrase rules - ce-produce pipeline step 3. Reads the organic-os site profile's brand rulebook and the draft. Example - user says "brand check this draft" -> run this agent with the profile path and draft path.