What’s Included in a Commerce Canal GEO Audit: Generative Engine Optimization
Did you know that ChatGPT now sees more traffic than Wikipedia and is the #5 most visited site in the world? As consumers increasingly rely on AI search tools like ChatGPT, Google Gemini, and Perplexity to make shopping decisions, brands must rethink how their products, brand story, and value props surface across conversational interfaces. Enter: Generative Engine Optimization (GEO).
At Commerce Canal, our GEO Audit helps brands position themselves for discovery and conversion in this rapidly evolving landscape. Here’s what our GEO Audit includes—and why it matters.
⸻
🧠 1. AI Surface Presence Mapping
We begin by mapping how your brand and products show up across top generative platforms:
• ChatGPT (OpenAI)
• Google Gemini
• Perplexity
• You.com
• Other LLM-powered shopping assistants
We analyze branded and unbranded queries to see if your brand is:
• Being mentioned organically
• Ranked above or below competitors
• Missing entirely from relevant answers
⸻
🔍 2. Query-to-Answer Coverage Audit
We assess coverage across common customer journeys, including:
• “Best [product type] for [use case]”
• “[Brand] vs. [Competitor]”
• “Top [category] on Amazon/Target/etc.”
• “Which [retailers] carry [brand]?”
This reveals where your brand is ranking well, where it’s being misrepresented, and where no answer is generated—indicating an opportunity for content or technical enhancement.
⸻
✍️ 3. LLM Content & Training Signal Assessment
We investigate the content types feeding AI responses and whether your brand is contributing meaningful training signals. This includes:
• Website structure and crawlability
• Blog post schema and optimization
• Product listing coverage across marketplaces
• Review volume and sentiment from major third-party sites
• Press mentions and backlinks from high-authority sources
We identify what’s currently informing LLM outputs—and what’s missing.
⸻
📑 4. Optimization Opportunities by Intent
GEO isn’t just SEO in a new wrapper—it requires intent-driven structure. We break out where your brand can improve performance in:
• Informational queries: Educational content, brand mission, explainer content
• Comparative queries: Data-backed claims, structured side-by-side comparisons
• Transactional queries: Availability, pricing, retailer partnerships
• Conversational brand storytelling: First-party content that supports natural language recall
⸻
🧰 5. Technical Enhancements & Structuring
We provide recommendations to improve your brand’s discoverability in AI through:
• Structured data markup (schema)
• Improved alt text and product descriptions
• Enhanced brand Wikipedia/Wikidata profiles
• Sitemap and robots.txt optimizations
• Integrations with product knowledge graphs where applicable
These help AI tools accurately surface and interpret your brand’s digital footprint.
⸻
📈 6. Competitive Share of Voice in LLMs
We benchmark your LLM share of voice vs. category competitors, providing a visibility score based on:
• Mention frequency in AI answers
• Placement quality in responses (e.g., “best of” vs. buried mentions)
• Domain authority signals leveraged by engines
This gives you a clear view of how you stack up—and where to move the needle.
⸻
📋 7. Actionable Roadmap
We wrap up the audit with a detailed action plan tailored to your brand’s digital infrastructure, content assets, and growth goals. This includes:
• Quick-win content ideas tuned for generative search
• Owned + earned media opportunities
• Marketplace and DTC updates to support GEO visibility
• Measurement plan for monitoring LLM improvements
⸻
Future-Proof Your Brand for AI Search
AI assistants are rapidly becoming the new front door to commerce. Commerce Canal’s GEO Audit ensures that your brand isn’t just part of the conversation—but is leading it.
📩 Reach out to Commerce Canal today to future-proof your product discovery strategy with a Generative Engine Optimization Audit.
⸻