Generative Engine Optimization (GEO) Audits: Measuring Your Brands Citations on AI Search Engines
As search engines transition into automated answer engines, B2B companies face a new challenge: understanding if AI tools recommend their business. While traditional analytics track link clicks, they fail to show AI agent citations. Running a Generative Engine Optimization (GEO) audit is the most critical step to measure and boost your companys citation rates in AI search.
The GEO Audit Checklist
To evaluate your AI visibility, query prominent tools (like Gemini, Perplexity) with industry keywords (e.g. "manufacturing logo designers in Ahmedabad"). Check if your business is cited, analyze which pages are referenced, and examine your competitors citations. This data highlights gaps in your content strategy, guiding content expansion.
Building Machine-Readable Context
If AI models fail to recommend your business, the issue is often structural: crawl blocks, unstructured content grids, or lack of structured schema markup. Upgrading your codebase with semantic HTML markers, JSON-LD block schema, and direct taglines allows AI crawlers to parse your business data, boosting citation rates in AI search.