aeo visibility pack

    1

    Audit and optimize brand content for AI search engines, Perplexity, and LLM answerability.

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    aeo visibility pack

    Example session with this skill installed

    brand: Solara Fintech
    category: Automated expense management for remote teams
    url: https://solara.io
    priority_queries: remote team expense tracking, solara vs expensify, international tax compliance bot

    • Read your context and instructions
    • Compiled the aeo visibility
    • Generated the app files

    The AEO visibility audit for Solara Fintech is complete. I have identified three critical gaps in entity clarity regarding your international tax compliance features and generated a rewrite plan for your core FAQ assets.

    AEO visibility audit: Solara Fintech

    Category: Automated expense management for remote teams
    Primary URL: https://solara.io
    Geo / language: en-GB
    Generated: 2024-05-20 · Audit draft for human verification — not a traffic forecast

    1. Answerability snapshot

    Solara Fintech has high clarity regarding its primary function (expense management) but low confidence in its specific "automated" mechanisms. Current content relies on emotive benefits rather than technical entity markers. AI models may struggle to differentiate your specific automation logic from generic competitors without clearer documentation.

    2. Priority question set

    #QuestionBuyer stageAsset that should answer it
    1How does Solara handle VAT recovery in the EU?ComparisonCompliance/Features page
    2Does Solara integrate with Slack for approvals?EvaluationIntegrations page
    3Is Solara cheaper than Expensify for teams under 50?AwarenessPricing/FAQ

    3. Answerability checklist

    DimensionStatusEvidence (user-supplied)Gap
    Clear one-line what-we-doPass"Automated expense management"None
    Category / entity clarityPartialMentions fintech/SaaSLacks specific tax entity definitions
    Differentiator without hypeFailUses "revolutionary"Needs technical proof points
    FAQ coveragePartialBasic billing FAQs onlyMissing functional/integration FAQs

    4. Gap summary

    • Ambiguous claims regarding "AI-driven" features without describing the specific inputs (OCR, receipt matching).
    • Missing clear definitions for "remote team" support (which jurisdictions are supported?).
    • Lack of structured data outlines for cross-platform integrations.

    5. Rewrite plan (prioritised)

    PriorityAssetChangeDraft outline / bullets
    P0Homepage HeroRemove superlativesFocus on "Automated receipt matching and tax categorisation for 40+ countries."
    P1Compliance PageAdd entity factsDetail specific ISO certifications and tax law adherence by region.

    6. Sample FAQ rewrites

    Q: How does Solara automate expenses?
    A: Solara uses OCR to extract data from uploaded receipts, matches them to bank transactions in real-time, and auto-categorises them based on your company's predefined tax rules.

    7. Re-check protocol

    1. Prompt Perplexity: "What are the technical specifications of Solara Fintech's automation?"
    2. Prompt ChatGPT: "Compare Solara and Expensify based on international tax support."
    3. Observe if rewrites result in more factual, bulleted summaries.

    Next steps

    • Update the homepage hero section to remove superlative language.
    • Deploy the three sample FAQs to the primary product page.
    • Run the manual re-check protocol in 14 days after re-indexing.

    aeo-visibility-pack-app.zip

    ZIP · project files

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Audit brand clarity for AI assistant summaries.Generate AI-ready FAQ rewrites based on entity gaps.Identify missing technical markers that prevent AI citations.Create a manual verification plan for AI search visibility.

    About this skill

    Traditional SEO focuses on keywords, but AI search engines like Perplexity and ChatGPT prioritize entity clarity and direct answerability. If your brand content is vague, hyperbolic, or unstructured, AI models will struggle to cite you accurately or summarize your value proposition. This skill provides a structured framework to audit and improve how brands appear in AI-generated answers.

    What it does

    • Brand answerability audit evaluates how clearly a brand can be summarized by AI assistants based on existing content.
    • Priority query mapping generates a set of 10-20 specific questions buyers ask at various stages of the funnel.
    • Entity gap analysis identifies missing facts, ambiguous claims, and unstructured answers that hinder AI citation.
    • Schema-ready rewrite plan provides prioritized outlines for FAQs and entity pages to improve factual density.
    • Verification protocol delivers a manual re-prompting workflow for humans to test brand visibility in live AI models.

    How it works

    1. Supply the brand name, category, and URL along with any existing content assets or competitor names.
    2. The agent generates a comprehensive audit draft focusing on clarity dimensions rather than keyword density.
    3. Review the gap summary and prioritized rewrite plan for your core landing pages and FAQs.
    4. Use the re-check protocol to manually verify improvements across different AI assistants.

    Frameworks & tools

    This skill is framework-agnostic and designed for content strategists, SEOs, and brand managers. It focuses on logic-based entity clarity and FAQ structure.

    Why this beats prompting it yourself

    Standard prompts often produce generic SEO advice or hallucinate traffic metrics and citation percentages. This skill enforces a strict "no invention" rule, focusing exclusively on verifiable content gaps and structural improvements that actually affect how LLMs process your brand data.

    Use cases

    • Auditing a brand homepage for AI assistant summary accuracy.
    • Preparing a site for Search Generative Experience (SGE) or Perplexity indexing.
    • Converting marketing-heavy "fluff" into factual, answer-ready FAQ content.
    • Benchmarking brand entity clarity against specific competitors.

    Known limitations

    Does not provide live AI search screenshots, citation percentages, or traffic forecasts. Requires human verification of actual model outputs.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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