# How to Structure Your First $3,000 GEO Audit Offer

## Introduction

A **$3,000 GEO Audit** is a strategic diagnostic product that evaluates a brand's visibility, accuracy, and "recommendability" across Generative Engines like ChatGPT, Perplexity, and Google AI Overviews. Unlike a standard SEO audit which focuses on technical crawlability and keyword rankings, a GEO audit assesses how well a brand's entities are understood by Large Language Models (LLMs).

The value of this audit lies in **protecting brand equity** in the age of AI. As search behavior shifts towards "zero-click" answers, brands risk becoming invisible if they are not cited by AI. This audit provides a roadmap to transition from "ranking on page 1" to "being the single answer cited by AI."

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## What is the Difference Between an SEO and GEO Audit?

**SEO audits optimize for Crawlers; GEO audits optimize for Reasoning Engines.**

While traditional SEO audits focus on indexability, page speed, and backlink profiles to satisfy Google's crawling bots, a GEO audit focuses on **context, entity relationships, and citation authority** to satisfy LLMs.

* **SEO Goal**: Rank for a keyword list.
* **GEO Goal**: Be the referenced authority for a topic.

In a GEO audit, you are not just checking for broken links; you are checking for "broken logic" in how an AI interprets your brand's value proposition.

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## The 5 Pillars of a Premium GEO Audit

To justify a $3,000 price point, your audit must go beyond basic automated checks. It must provide deep, actionable insights across these five pillars:

### 1. AI Visibility Scorecard

Measure the brand's current "Share of Citation." Use tools (or manual prompting) to test how often the brand is mentioned in response to bottom-of-funnel queries on ChatGPT, Claude, and Perplexity.

* **Deliverable**: A "Share of Voice" chart comparing the client vs. top 3 competitors in AI responses.

### 2. Entity & Knowledge Graph Health

Analyze how well the brand is defined in the Knowledge Graph. Does the AI know *who* the brand is and *what* they do? Check for consistent N-A-P (Name, Address, Phone) and clear "About" page structures that feed the Knowledge Graph.

* **Deliverable**: A "Knowledge Graph Gap Analysis" report.

### 3. E-E-A-T & Citation Authority

Evaluate the "Trust" signals that LLMs rely on. This includes reviewing author bios, "About Us" pages, and the quality of external citations (mentions in news, papers, or industry reports).

* **Deliverable**: An "Authority Audit" identifying missing trust signals.

### 4. Technical GEO Readiness

Assess the technical structures that help machines "read" content. This focuses heavily on **Schema Markup** and **JSON-LD**. Are you explicitly telling the AI what your content is about using structured data?

* **Deliverable**: A "Schema Implementation Roadmap."

### 5. Content Structure Analysis

Review existing content for "AI-readability." LLMs prefer direct answers, structured lists, and clear headings. Identify content that is too "fluffy" or buried in long paragraphs.

* **Deliverable**: A "Content Refactoring Plan" to convert blog posts into Answer-First formats.

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## Packaging and Pricing the Offer

**Why $3,000?** You are selling a **strategic pivot**, not a maintenance task. The $3,000 price tag anchors the service as a high-value consulting engagement. It signals to the client that this is a specialized service requiring deep expertise in the new AI landscape.

**The Deliverables Package** Don't just send a PDF. Package the audit as a transformation:

1. **The Diagnostic Report (PDF)**: Detailed findings across the 5 pillars.
2. **The Strategic Roadmap**: A 3-6 month plan to fix the issues (upsell opportunity for retainers).
3. **The Executive Workshop (60 mins)**: A presentation call to walk stakeholders through the findings and explain the "AI threat/opportunity."

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## Conclusion

A well-structured GEO audit is the perfect gateway to high-ticket GEO retainers. By diagnosing a client's "AI invisibility," you create an urgent need for ongoing optimization services. Position this audit as the essential first step in future-proofing their digital presence.

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## FAQs

### What tools do I need for a GEO Audit?

You can start with manual prompting on major LLMs (ChatGPT, Perplexity, Gemini) to test visibility. For technical checks, use Schema validators and standard SEO tools to check for crawlability (as a baseline). Dedicated GEO tools like DECA are emerging to automate this.

### How long does a GEO Audit take?

A comprehensive manual audit typically takes 10-15 hours. With automation tools, this can be reduced, but the value comes from the *analysis* and *strategy*, not just the data gathering.

### Can I sell this to existing SEO clients?

Yes. It is the perfect upsell. Frame it as "protecting the work we've already done" by ensuring their high rankings translate into AI citations.

### Is technical knowledge required?

Yes, specifically regarding Schema Markup and Knowledge Graphs. However, the core of the audit is strategic—understanding how to position content for answers.

### How often should a GEO audit be done?

Given the rapid pace of AI model updates, a quarterly audit is recommended to ensure the brand remains visible as models evolve.

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## References

* LucidRank | <https://www.lucidrank.io/>
* Passionfruit: How to Audit Your Website for AI Search Readiness | <https://www.getpassionfruit.com/blog/how-to-audit-your-website-for-ai-search-readiness-the-complete-geo-checklist>
* SevenSEO: GEO Content Audit | <https://sevenseo.io/blog/geo-content-audit/>
* Flow Ninja: GEO Audits | <https://www.flow.ninja/blog/geo-audits>
* Search Engine Journal: AI Visibility Audit Questions | <https://www.searchenginejournal.com/ai-visibility-audit-questions-iqrush-spa/558015/>
* Addlly AI: How to Run a GEO Audit | <https://addlly.ai/blog/how-to-run-a-geo-audit/>
