agency-ai-citation-strategist

An AI citation audit identifies and quantifies how recommendation engines reference your brand across platforms. It maps citation gaps, analyzes lost prompts, and generates structural fixes like schema markup to improve entity discoverability and overall AI visibility.

Fix lost prompts by performing lost-prompt analysis to map where your brand is missing from AI responses. Generate and apply an action-focused fix pack with structured assets like schema markup and comparison content to increase citation visibility.

Schema markup and entity optimization directly improve AI discoverability by structuring brand data for recommendation engines. Applying these structured assets within a fix pack ensures your content is accurately parsed and cited across multiple AI platforms.

The best way to track AI citation improvements is by executing a 14-day recheck plan. This measures the impact of your applied fix pack, quantifying how citation visibility has increased across targeted AI engines following structural content interventions.

You can audit brand citations across multiple AI engines simultaneously by running a multi-platform citation audit. This process maps gaps and prioritizes interventions across ChatGPT, Claude, Gemini, and Perplexity to deliver unified action-focused fixes.