How can I identify which of my competitors' content is most frequently cited by AI assistants like ChatGPT and Gemini?

Key answer

To identify which competitor content AI assistants cite most, use an AI visibility monitoring tool that tracks mentions and citations across ChatGPT, Gemini, Perplexity, and Google AI Overviews. These tools scan AI answer outputs to show which specific pages or domains AI models reference, letting you see exactly what content earns citations from your competitors.

Prerequisites

Before starting, ensure you have:

A list of 5-10 direct competitors in your industry
Access to an AI visibility monitoring tool (such as EdenRank, Profound, Otterly, or Peec)
A baseline understanding of which topics are important to your market

Step 1: Set up competitor tracking in your AI visibility tool

Create a monitoring project that includes your competitors' domains. In EdenRank, you can add competitor URLs to track alongside your own brand. The tool will then scan AI answer engines for any mention or citation of those domains. Make sure you include all major competitors from your list.

Step 2: Run citation queries across multiple AI platforms

Configure your tool to check ChatGPT, Gemini, Perplexity, and Google AI Overviews. Each AI assistant may cite different sources for the same topic. Run queries on the key topics and questions your target audience asks. The tool will return results showing which competitor pages appear in AI answers and how frequently.

Step 3: Analyze the citation frequency data

Review the reports that show citation counts per competitor domain and per specific page. Look for patterns: which competitors appear most often, which pages get cited repeatedly, and which topics trigger those citations. EdenRank separates mentions (when a brand name appears) from citations (when a specific source is referenced), so focus on citations for this analysis.

Step 4: Identify the specific content types that earn citations

Examine the cited pages to find common characteristics. Look for content formats such as how-to guides, data-driven research, authoritative definitions, or comparison articles. Note the publication dates, word counts, and structure of the most-cited pieces. This reveals what AI models prioritize when selecting sources.

Step 5: Compare your content against competitor citations

Map your existing content against the topics and formats your competitors have cited. Identify gaps where competitors have content that AI assistants cite but you do not. Use this gap analysis to prioritize new content creation that targets the same queries, using the same authoritative structure that earned your competitors citations.

Common mistakes

Tracking only one AI platform: ChatGPT, Gemini, and Perplexity each have different citation patterns. Checking only one gives an incomplete picture.
Ignoring citation quality: A competitor cited once by a high-authority source may be more valuable than one cited many times by low-quality sources. Focus on citation patterns, not just raw counts.
Not updating your analysis regularly: AI models update their training data and retrieval sources. A competitor's content that was cited heavily last month may no longer appear. Run this analysis monthly.

When this does not apply

If your competitors have very little online content or no indexed web pages, AI assistants will not cite them, and this analysis will yield no useful data.
If your industry is highly niche with fewer than 100 relevant queries, the citation data may be too sparse to draw meaningful conclusions.
If AI assistants in your region or language do not yet support citation tracking (for example, some localized AI models), the results will not reflect real-world visibility.