How do I track which competitors are getting cited by AI?

Use dedicated AEO monitoring tools like Otterly, Peec AI, Profound, or Semrush AI Visibility Toolkit. These platforms track brand mentions and citations across ChatGPT, Perplexity, Gemini, and AI Overviews for both your brand and competitors. For manual tracking, run the same set of target queries across each AI engine, record which brands are cited, and repeat on a schedule. GA4 can track competitor referral traffic patterns via AI source analysis.

What does competitor AI share of voice tell me?

Competitor AI share of voice reveals which brands AI models consider authoritative in your category. A competitor with higher AI citation share but lower traditional search rankings signals they are optimizing specifically for AI extraction. This gap represents an opportunity: if you rank well in Google but are not cited by AI, improving content structure, adding linked statistics, and implementing schema markup can close the gap.

How often should I check competitor AI visibility?

Monthly for most brands, weekly for competitive categories with fast-moving content. AI citation patterns shift more slowly than traditional search rankings because AI models update less frequently. However, major content launches, PR events, or earned media placements can shift AI visibility quickly because AI models cite third-party authority sources at substantially higher rates than Google, according to University of Toronto research.

How to Track Competitor AI Visibility

Tracking competitor AI visibility means monitoring which brands get cited in AI-generated responses — ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — for the query categories that matter to your business. The tools and methods are maturing rapidly. Dedicated platforms like Otterly, Peec AI, and Profound now offer competitive benchmarking that surfaces which competitors are winning AI citations and, critically, which content assets are driving those citations. The Conductor AEO/GEO Benchmarks Report analyzing 13,770 domains found that AI citation leadership varies wildly by industry. Publishers like NerdWallet dominate Financials at 6.73% of citations, while Zillow leads Real Estate brand mentions at 7.36% despite not being the top domain by total citations. Competitive dynamics in AI search are not the same as in traditional search.

Competitive AI visibility tracking matters because the gap between traditional search rankings and AI citations is the actionable insight. Ahrefs found that 76% of AI citations come from pages ranking in Google's top 10, meaning 24% come from pages that do not rank well in traditional search. If a competitor is getting cited from content that does not outrank you in Google, they are doing something structurally different that AI models prefer. Finding that difference is the point of competitive tracking.

Which Metrics Define Competitor AI Visibility?

Start with the same metrics you track for your own brand, applied to competitors:

Competitor brand mentions. How often is your competitor's brand name appearing in AI responses? Track this across the target query categories. A competitor whose brand mentions are growing faster than yours is gaining AI mindshare, even if the traffic impact is not yet visible.

Competitor citation share of voice. For your defined query set, what percentage of citations go to each competitor? This is the most competitive metric. It surfaces whether you are winning or losing in AI search and by how much.

Competitor cited content analysis. Which of your competitor's pages are getting cited? What makes those pages different from yours? Common differentiators: question-based headings, linked statistics, FAQ schema, definition-first paragraphs, and freshness signals. The GEO-16 framework analyzing 1,702 real citations found that metadata freshness, semantic HTML, and structured data were the top three citation predictors.

Citation gap identification. For queries where competitors are cited and you are not, what content do they have that you do not? This is the most actionable output of competitive tracking. It tells you exactly what to create or refresh.

How to Do Manual Competitor Tracking

Before investing in tools, manual tracking establishes a baseline and validates whether the investment is worth it. The process:

Define a query set of 20-50 target queries across your priority categories.
Run each query through ChatGPT (with web search), Perplexity, and Google (checking for AI Overviews). Gemini and Claude are additional if your audience uses them.
Record: which brands are cited, which pages or domains are linked, and the text the AI extracted.
Repeat on a monthly schedule. Track changes over time.
Compare your citation rate to your traditional search ranking position for the same queries. The gap between them is your AEO opportunity.

Manual tracking works for small query sets (under 50) and brands just starting AEO. It breaks down at scale. For competitive categories with hundreds of relevant queries, dedicated tools are necessary.

Tools for Competitive AI Visibility Tracking

Otterly (from $29/month) is the entry point for competitive AEO tracking. It covers ChatGPT, AI Overviews, Perplexity, Copilot, AI Mode, and Gemini. The $189/month Standard plan includes API access for competitive benchmarking and automated reporting.

Peec AI (from $95/month) adds competitor brand mention tracking, sentiment comparison, and strategy recommendations. Its platform identifies which specific sources AI models cite for your target queries — whether that is Reddit, G2 reviews, or competitor blog posts — and recommends how to compete for those citations.

Profound (from $99/month) covers the most platforms: ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, and AI Overviews. Its competitive share of voice analysis spans all eight engines.

Semrush AI Visibility Toolkit integrates competitive AI data with traditional SEO metrics, making it the strongest option if you are already in the Semrush ecosystem. It shows where competitors rank in traditional search versus where they are cited in AI responses side by side.

Bing Webmaster Tools (free) provides a Copilot-specific competitive angle. While it does not show competitor data directly, the AI Performance Report helps you understand your own baseline before layering on competitive intelligence.

What to Do With Competitor AI Visibility Data

The point of tracking is not surveillance. It is finding the structural differences between content that gets cited and content that does not. When a competitor is consistently cited for queries where you are not, analyze their cited pages for:

Heading structure. Are their H2s question-based? Do their H3s break topics into extractable chunks?
Statistics and citations. Do they link to primary sources more frequently? The Princeton GEO paper found citing authoritative sources produced a 115.1% visibility increase for sites not already ranking highly.
Schema markup. Is their content marked up with FAQPage, Article, or HowTo schema where yours is not?
Content freshness. Do they update pages more frequently? Metadata freshness was the single strongest citation predictor in the GEO-16 analysis.
Third-party authority. Are they cited by AI because third-party sources reference them? AI models cite third-party sources 92.1% of the time in consumer electronics, per University of Toronto research. Earned media drives AI citations.

How Conbersa Approaches Competitive AI Visibility

Conbersa integrates competitive AI visibility tracking into our AEO service. We monitor which competitors are cited across ChatGPT, Perplexity, Gemini, and AI Overviews for our clients' target query categories, identify citation gaps, and build content specifically designed to close those gaps. Our content velocity approach — 20 pieces per day — ensures we are building surface area in the subtopics where competitors are currently winning citations. For a deeper dive on measuring your own AI presence first, see our guide on how to measure share of voice in AI search.