The Ultimate Checklist for a B2B Tech GEO Audit

Introduction

Is your client's brand invisible to the AI engines that matter? Traditional SEO audits are becoming a commodity on platforms like Fiverr, often selling for as little as $50. However, Generative Engine Optimization (GEO) audits represent a new, high-value frontier. Unlike SEO, which focuses on ranking links, GEO focuses on Entity Confidence—convincing AI models (like ChatGPT, Perplexity, and Gemini) that your client is the authoritative source worth citing.

A comprehensive GEO audit doesn't just check for broken links; it evaluates Crawlability for AI bots, Entity verification in Knowledge Graphs, and Answer-First content structure. By shifting your service from "SEO Fixes" to "AI Visibility Architecture," you can pivot from low-margin gigs to high-ticket strategic consulting. This checklist is your blueprint for that transition.


Phase 1: The Gatekeepers (Technical Infrastructure)

Are you accidentally blocking the AI bots that drive traffic? Before analyzing content, you must ensure the "Gatekeepers"—the AI crawlers—are actually allowed in. Many legacy B2B sites unknowingly block AI agents via outdated robots.txt files.

1. AI Bot Access Verification

  • Check robots.txt: Ensure you are not blocking GPTBot, CCBot (Common Crawl), or Google-Extended.

  • Action: If you see User-agent: GPTBot Disallow: /, the client is invisible to ChatGPT. Remove it immediately unless there is a specific legal reason not to.

2. Schema Markup for Entities

AI models rely on structured data to understand "who" the brand is.

  • Organization Schema: Must include sameAs links to LinkedIn, Crunchbase, and Wikipedia (if applicable).

  • Person Schema: Critical for B2B. Tag executives and authors to build "Expertise" (E-E-A-T).

  • FAQ Schema: Directly feeds into AI "Answer Engines."

3. Rendering & Speed

  • Core Web Vitals: While less critical for ranking in LLMs, slow rendering prevents bots from scraping deep content.

  • Mobile Friendliness: Ensure complex B2B diagrams render as text/code, not just images (which LLMs struggle to read without OCR).


Phase 2: The Reputation (Entity & Authority)

Does the AI know who you are, or is it hallucinating? In GEO, your "Backlink Profile" matters less than your "Mention Profile." You need to audit how the brand is understood by the Knowledge Graph.

1. Knowledge Graph Verification

  • Google Knowledge Panel: Is it claimed? Does it show accurate founding dates and key people?

  • Wikidata/Crunchbase: Are these profiles up to date? These are primary training data sources for LLMs.

2. N-A-P Consistency (Digital Footprint)

For B2B tech companies with multiple offices, consistency is key.

  • Audit: Check Name, Address, Phone across LinkedIn, G2, Capterra, and local directories.

  • Impact: Inconsistent data lowers the "Confidence Score" AI assigns to the entity.

3. Co-Citation Analysis

  • Context Matters: It's not just about a link. Is the brand mentioned alongside industry leaders? (e.g., "Salesforce, HubSpot, and [Client]...")

  • Sentiment Analysis: Are mentions positive or neutral? AI considers sentiment when recommending solutions.


Phase 3: The Content (Format & Structure)

Is your content written for humans but illegible to machines? Most B2B content is buried in fluff. GEO demands Answer-First Architecture.

1. The "Answer-First" Check

  • Rule: Does the first 150 words of the blog post answer the H1 directly?

  • Fail: "In today's fast-paced digital landscape..." (Fluff).

  • Pass: "B2B Influencer Marketing is a strategy that leverages..." (Direct Answer).

2. Data Density & Quotability

  • Stat Check: Does the content contain unique data points or "AI-Quotable" sentences (Declarative statements of 30-50 words)?

  • Formatting: Are you using Bullet Points, Bold Text, and Tables? LLMs prioritize structured text over wall-of-text paragraphs.

3. PDF Traps

  • Audit: Is high-value content locked in PDFs?

  • Fix: Ungate executive summaries and convert PDF contents into HTML text. LLMs prioritize HTML over PDF data.


Phase 4: The Solution (Scaling with DECA)

How to turn a 40-hour audit into a 4-hour high-value deliverable. Executing the above checklist manually for a 500-page B2B site is impossible for a solo freelancer. This is where the DECA Framework changes the game.

What is DECA?

DECA stands for Discovery, Entity, Content, Authority. It is a strategic framework designed to streamline GEO audits.

Phase
Manual Method (The "Hard Way")
The DECA Method (The "Smart Way")

Discovery

Manually checking robots.txt and search logs.

Automated scanning of bot permissions and visibility gaps.

Entity

Googling brand names to check Knowledge Panels.

Systematically mapping entity relationships and N-A-P consistency.

Content

Reading blogs to check for "fluff" vs. answers.

AI-assisted analysis of "Answer-First" structure and data density.

Authority

Counting backlinks on Ahrefs.

Analyzing Co-Citation context and sentiment across the web.

Why Fiverr Sellers Need DECA: By adopting a framework like DECA, you standardize your output. Instead of selling "hours," you sell a "DECA Report"—a premium product that justifies higher retainers because it directly addresses the AI future your clients are terrified of missing.


Conclusion

The era of the $50 SEO audit is ending; the era of the GEO Consultant is here. To survive and thrive on platforms like Fiverr, you must upgrade your toolkit. A B2B Tech GEO Audit is not just a list of errors; it is a strategic roadmap for Entity Confidence. By checking Technical Gatekeepers, Reputation Signals, and Content Structure, you ensure your client isn't just indexed—but cited. Use the DECA framework to deliver this value at scale, and position yourself as the expert who bridges the gap between traditional search and the AI future.


FAQs

What is the difference between an SEO audit and a GEO audit?

An SEO audit focuses on ranking URLs on Google's first page using keywords and backlinks. A GEO audit focuses on optimizing content to be cited by AI models (like ChatGPT) by improving Entity Confidence, answer structure, and technical crawlability for AI bots.

Why is robots.txt critical for B2B GEO?

Many B2B companies unintentionally block AI crawlers (like GPTBot) in their robots.txt file to "protect" content. This makes them invisible to AI search engines. A GEO audit ensures these bots are allowed access so the brand can be cited.

How does Schema Markup affect AI visibility?

Schema Markup (especially Organization and Person schema) helps AI models understand the relationships between your brand, its products, and its executives. This "structured data" feeds directly into the Knowledge Graph, which LLMs use to verify facts.

Can I sell GEO audits on Fiverr if I'm new?

Yes. The market is currently underserved. By positioning yourself as a "GEO Specialist" rather than a generic "SEO Expert" and using a structured framework like the checklist above, you can differentiate your services and command higher prices (e.g., $500–$2,000+).

What is the most common mistake in B2B content for AI?

The most common mistake is "burying the lead." B2B content often starts with long, fluffy introductions. AI prefers Answer-First Architecture, where the direct answer is provided in the first paragraph, followed by supporting data.


References


This content was written using DECA, a Generative Engine Optimization (GEO) writing solution.

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