More screenshots

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Zero-Click Topic Vector & Intent Auditor

    2

    4-turn zero-click AEO & search-intent probing skill. Uncovers LLM hedging gaps, community friction, citation targets, and conversion-ready topic clusters across any web stack.

    $39

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    Zero-Click Topic Vector & Intent Auditor

    Zero-Click Topic Vector & Intent Auditor

    Example session with this skill installed

    Use zero-click-topic-vector-auditor to probe "Next.js App Router caching in multi-region deployments" for our devtools blog (acme.dev) and design a cannibalization-free pillar + 4-spoke blueprint.

    • Read your context and instructions
    • Compiled the zero-click topic vector

    I have completed a 4-turn Zero-Click Topic Vector & Intent Audit for

    "Next.js App Router caching in multi-region deployments" (acme.dev • detected domain: tech). The probe surfaced

    2 high-leverage AI hedging gaps and a severe practitioner friction pattern around multi-region container cache invalidation that generic tutorials miss.

    1. Multi-Corpus Probing Telemetry

    TurnIntent QuadrantProbe Query ExecutedKey Domains SurfacedHedge / Friction SignalJaccard Overlap
    1Informational (AI Consensus)"Next.js App Router caching in multi-region deployments"nextjs.org, vercel.com, dev.toexplicit_uncertainty: "edge revalidation consistency remains unclear outside Vercel"0.00 (Baseline)
    2Navigational (Primary Spec)"Next.js" "cacheHandler" OR "use cache" multi-region official docsnextjs.org/docs, github.com/vercel/next.jsconditional_validity: Next.js 14 implicit caching vs. Next.js 15+ opt-in use cache0.50 (Continue)
    3Empirical (Community Friction)"revalidateTag" multi-region stale cache site:github.com OR site:news.ycombinator.comgithub.com/vercel/next.js/discussions, news.ycombinator.comSelf-hosted Docker/ECS instances serve stale Data Cache entries across regions without shared pub/sub0.33 (High Gain)
    4Commercial / ConversionNext.js multi-region Redis cacheHandler vs Vercel KV vs CloudFront latency costupstash.com, opennext.js.org, aws.amazon.comBuyers actively compare managed Vercel Data Cache pricing vs. self-hosted Redis cacheHandler0.88 (Saturated ≥ 85%)

    2. Information-Gain & Citation Moat

    Resolve the Version Conflation Hedge: Prevailing AI summaries blend deprecated Next.js 14 aggressive fetch() defaults with Next.js 15+ explicit cacheLife / use cache directives. Publishing a deterministic version-by-version behavior matrix makes acme.dev the canonical disambiguation source.

    Own the Self-Hosted Multi-Region Failure Mode: On GitHub Discussions and HN, engineers report that revalidateTag() only purges local filesystem cache on the single container receiving the webhook unless a distributed Redis cacheHandler is wired across regions.

    Primary Citation Asset: Include a reproducible p95 tag-purge propagation benchmark (us-east-1 → eu-central-1 → ap-southeast-1) comparing filesystem, Upstash Global Redis, and AWS ElastiCache.

    3. Cannibalization-Free Hub & Spoke Blueprint (acme.dev/blog)

    TierRecommended Slug & Working TitlePrimary Entity AnchorTarget IntentConversion Hook
    Pillar Hub/nextjs-multi-region-caching-architecture — Next.js App Router Caching in Multi-Region Production: The Systems GuideNext.js App Router Data CacheInformational + ArchitecturalInteractive Multi-Region Cache Topology Diagram + Acme Edge Starter
    Spoke 1 (Spec)/nextjs-custom-redis-cachehandler-reference — Production cacheHandler Implementation Reference for Next.js 15+Custom cacheHandler APINavigational / ImplementationCopy-paste TypeScript cacheHandler boilerplate repo
    Spoke 2 (Debug)/fix-stale-revalidatetag-multi-region-docker — Why revalidateTag() Serves Stale Data Across Multi-Region Containers (And How to Fix It)revalidateTag() Race ConditionsTroubleshooting / EmpiricalMulti-region cache invalidation health-check script
    Spoke 3 (Compare)/vercel-data-cache-vs-upstash-redis-cost-latency — Vercel Data Cache vs. Self-Hosted Redis: Multi-Region Latency & Egress Cost BreakdownDistributed Cache TCOCommercial InvestigationMonthly egress & invalidation cost calculator (acme.dev)
    Spoke 4 (Checklist)/nextjs-multi-region-readiness-checklist — 12-Point Pre-Launch Caching Audit for Multi-Region Next.js AppsDeployment VerificationTransactional / Lead CaptureOne-click CLI audit (npx @acme/cache-check)

    4. Recommended Next Steps

    1. Ship

    Spoke 2 and

    Spoke 1 first—they target acute developer pain points with near-zero authoritative competition in current AI Overviews.
    2. Embed the p95 propagation latency HTML <table> directly under an exact-match H2 in the

    Pillar Hub to capture direct AI citation snippets.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop Losing Organic Traffic to Zero-Click AI Summaries

    Traditional single-shot keyword research produces derivative "ultimate guides" that Google AI Overviews, Perplexity, and ChatGPT Search summarize away in three seconds—leaving your site with impressions and zero clicks.

    Zero-Click Topic Vector & Intent Auditor equips your AI coding or marketing agent with a deterministic 4-Turn Multi-Corpus Probing Engine built for modern Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).

    How the 4-Turn Probing Engine Works

    1. Turn 1 — Macro AI Consensus & Hedge Detection (Informational): Audits prevailing AI-synthesized answers across 9 linguistic uncertainty and hedging patterns (remains unclear, commonly cited around, not yet finalized, gray area, conflicting reports) to pinpoint exact factual gaps where your brand can claim primary citation authority.
    2. Turn 2 — Primary Specification & Statutory Stress-Test (Navigational): Cross-examines disputed claims against primary registries (.gov portals, RFCs, official vendor documentation, and standards bodies) while applying a mathematical Jaccard Domain Saturation Gate (≥ 85%) to prevent query drift.
    3. Turn 3 — Empirical Community Friction Mining (Information-Gain Moat): Surfaces real-world production failure modes, edge cases, migration gotchas, and unanswered practitioner pain points from GitHub Issues, Hacker News, Stack Overflow, and Reddit.
    4. Turn 4 — Commercial & Transactional Conversion Bridge: Expands beyond zero-click informational queries into high-converting comparison matrices, calculators, checklists, and a cannibalization-free Pillar + Spoke architecture where every URL owns a distinct primary entity and search intent.

    Dual-Mode Execution (Zero Paid API Keys Required)

    • Zero-Key Native Mode (Works Out-of-the-Box): Uses your agent's built-in web search paired with the bundled pure-stdlib Python telemetry analyzer (scripts/serpapi_ai_mode_probe.py --offline-audit) for deterministic ambiguity scanning and Jaccard overlap scoring.
    • Live SerpApi Mode (Optional Power-Up): When SERPAPI_API_KEY is present in your environment, the script probes Google AI Mode (engine=google_ai_mode / udm=50) and organic SERPs directly across quick (2-turn), standard (4-turn), or deep (citation-weighted) modes.

    Stack-Agnostic Compatibility & Limitations

    • Zero CMS Lock-In: Works across Next.js, Astro, Remix, MDX docs, Shopify, Webflow, B2B SaaS, FinTech, developer tools, and content publishers.
    • Requirements & Honest Limitations: Requires Python 3.9+ (standard library only; zero pip install packages) and web search or network access. Live Google AI Mode (udm=50) availability varies by region and topic; the bundled script automatically falls back to standard organic + AI Overview extraction or Zero-Key Native Mode when needed.

    Requires web search tools or SerpApi. Performance varies based on the availability of primary statutory or technical documentation for the specific topic domain.

    Open docs

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 9 days ago

    Requires

    python3

    Permissions

    Terminal / Shell
    Network Access
    Environment Variables
    Read Files

    Runs a pure-stdlib Python 3 helper (zero pip packages) to score LLM hedging patterns and Jaccard domain saturation. Works out-of-the-box with native web search; SERPAPI_API_KEY (serpapi.com) is optional for live Google AI Mode probing.

    Listed9 days ago

    What's inside

    Frequently Asked Questions

    No. Zero-Key Native Mode works out-of-the-box using your agent's built-in web search paired with the bundled pure-stdlib Python analyzer (--offline-audit). Providing SERPAPI_API_KEY is strictly optional if you want direct Google AI Mode (udm=50) API polling.

    No—it is 100% stack-agnostic. It outputs universal Markdown telemetry tables, primary entity anchors, and hub-and-spoke architectures ready for Next.js, Astro, MDX docs, Shopify, Webflow, custom SaaS blogs, or WordPress.

    Traditional keyword tools optimize for single-shot informational queries that AI Overviews now answer with zero clicks. This skill runs a 4-turn probe to detect exact LLM hedging phrases, cross-check primary specs with a ≥85% Jaccard saturation gate, mine GitHub/HN/Reddit friction, and map high-converting commercial spokes.

    Any agent supporting the open SKILL.md standard with Python 3.9+ and web search—including Claude Code, Cursor, GitHub Copilot, Codex CLI, Windsurf, Gemini CLI, and Antigravity (zero pip packages required).

    New in Marketing & SEO