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    GEO SEO Audit Suite — AI Search Visibility & Optimization

    2

    Traditional SEO audits ignore how LLMs and AI search engines perceive your brand.

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    GEO SEO Audit Suite — AI Search Visibility & Optimization

    GEO SEO Audit Suite — AI Search Visibility & Optimization

    Example session with this skill installed

    Audit https://example-saas.com for AI answer readiness. I have attached a technical crawl export and three screenshots showing competitors being cited instead of us in Perplexity for "best crm".

    • Read your context and instructions
    • Compiled the geo seo audit

    I have completed the GEO-SEO audit for example-saas.com. The analysis covers the provided crawl data and the Perplexity citation gap for your core "best crm" query.

    GEO-SEO Readiness Audit: example-saas.com

    Executive Summary

    The site demonstrates strong technical SEO foundations but lacks the entity clarity required for AI citation. While technical indexability is high (88/100), the "Answer Extractability" score is low (42/100) due to long-form content lacking clear definitions and structured headers.

    Category Scorecard

    CategoryScoreWeightConfidencePrimary Blocker
    Technical SEO8820%HighMissing JSON-LD for Products
    Content & Intent6525%MediumPassive voice in value props
    Entity Clarity3820%MediumInconsistent brand naming
    Answer Readiness4225%HighLack of direct definition blocks
    Visibility Evidence1510%HighCompetitor dominance in Perplexity

    Key Findings

    Entity Ambiguity: The site refers to the core product by three different names across the homepage and documentation, hindering LLM association.

    Citation Gap: Perplexity cites competitors because they use "What is..." heading structures followed by concise 2-sentence definitions, which this site lacks.

    Schema Omission: Product schemas are missing brand and manufacturer properties, making it harder for search engines to link the software to the parent company.

    Prioritized Roadmap

    1. Critical: Deploy Organization and Product JSON-LD to all priority URLs to fix entity disambiguation.
    2. High: Rewrite top-of-funnel blog intros to include "TL;DR" summary boxes for better AI extractability.
    3. Medium: Standardize brand naming conventions across all H1 tags and metadata.

    Next steps

    • Review the full Technical SEO findings in the Technical Audit section.
    • Apply the suggested "Answer Box" content template to the top 5 traffic-driving pages.
    • Provide updated Perplexity screenshots after 14 days to track citation changes.

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

    About this skill

    Full suite of 15+ GEO and SEO audit tools that analyzes website visibility across ChatGPT, Perplexity, and Google AI Overviews, scores AI search readiness, identifies technical SEO and content gaps, and generates actionable, client-ready optimization reports.

    Traditional SEO audits ignore how LLMs and AI search engines perceive your brand. This skill bridges that gap by evaluating your site for both traditional search and AI answer readiness. It processes URLs, crawl data, and AI search results to identify discoverability risks and entity clarity issues.

    What it does

    • Technical SEO Audit evaluates crawlability, indexability, and structured data blockers using supplied site exports.
    • Entity Clarity Assessment analyzes brand and product disambiguation to ensure AI models correctly identify your organization.
    • AI Answer Readiness reviews content for answer extractability, source transparency, and citation-friendly structures.
    • Evidence-Based Scoring calculates a 0-100 readiness score based on a custom rubric across technical, content, and trust categories.
    • Visibility Evidence Analysis logs specific brand mentions and citations found in platform-specific AI search examples.

    How it works

    1. Evidence Intake where you provide URLs, business context, search data, and AI search examples.
    2. Module Execution where the agent selects relevant audit modules based on the depth of evidence provided.
    3. Scoring & Evaluation to generate a transparent scorecard with confidence levels and missing data disclosures.
    4. Report Generation producing a client-ready Markdown report with a prioritized roadmap.

    Frameworks & tools

    The skill is designed to ingest data from common SEO crawlers, Google Search Console, analytics platforms, and manual AI search screenshots or text exports.

    Why this beats prompting it yourself

    Generic prompts often fabricate search rankings or AI citations. This skill enforces a "Critical Accuracy Rule" that prevents hallucinated mentions and uses a structured scoring rubric to ensure audits are grounded in supplied evidence rather than speculation.

    Use cases

    • Auditing a site for Generative Search Experience (SGE) and AI Overviews.
    • Identifying why a brand is being misidentified or excluded in AI answers.
    • Preparing a prioritized technical and content roadmap for a new client.
    • Benchmarking brand visibility against competitors across LLM-based search tools.

    Known limitations

    Does not have live access to private AI platform APIs. The 0-100 score is a custom readiness metric, not an official platform ranking. Requires supplied evidence to generate specific findings.

    Cannot query live AI search platforms directly. Scoring is a custom readiness rubric, not an official third-party metric. Accuracy depends entirely on the quality of supplied evidence.

    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.

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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 26 days ago

    Software
    Python

    Permissions

    No special permissions declared or detected

    Listed26 days ago
    Updated11 days ago

    What's inside

    Frequently Asked Questions

    Unlike generic prompts that might hallucinate rankings, this skill uses a 'Critical Accuracy Rule' and a structured rubric to audit your site based solely on provided crawl data and AI search evidence.

    The skill is designed to ingest data exports from common SEO crawlers (like Screaming Frog or Ahrefs), Google Search Console, and manual text or image exports from AI search platforms.

    You will receive the full AI agent skill logic, the proprietary 0-100 readiness scoring rubric, and a template for generating client-ready Markdown reports.

    While it performs a robust technical SEO check, its primary value is identifying 'Entity Clarity' issues—ensuring AI models correctly identify and cite your brand rather than just ranking keywords.

    The skill is optimized for major LLM-based search tools and Generative Search Experiences; however, it relies on the evidence you provide as it does not have direct, live API access to private AI search engines.

    New in Marketing & SEO