Multi-dimensional analysis of AI citation patterns | Q4 2025 Data
Our new study evaluates 23 million+ AI citations across over 17 million unique URLs, this study reveals a critical insight for modern SEO: businesses have far more influence over AI-generated answers than previously assumed.
Nearly 91% of all AI citations originate from sources businesses can directly control, including owned websites, structured data, and authoritative brand properties. The findings highlight a major shift in AI search visibility, emphasizing that strategic content optimization, technical SEO, and data accuracy play a decisive role in how brands are referenced and surfaced in AI-powered search and answer engines.
You can read the full report here, or explore it interactivly below.
Start with a sector, then refine with question vectors, industries, and models.
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Aggregate distribution of citation control levels
Control category distribution across AI models
Click any row to filter by sector
Analysis of 23,014,316 citations across 17,192,798 distinct URLs reveals that businesses have significant control over how they appear in AI-generated answers. Nearly 91% of all citations come from sources businesses can directly influence.
| Model | Citations | Share |
|---|---|---|
| Perplexity | 8.76M | 38.0% |
| OpenAI (SearchGPT) | 6.58M | 28.6% |
| Gemini | 6.29M | 27.3% |
| Claude | 1.39M | 6.1% |
| Model | Avg. Frequency |
|---|---|
| Perplexity | 1.41x |
| Gemini | 1.40x |
| OpenAI | 1.26x |
| Claude | 1.09x |
How often each unique URL is cited on average
This report analyzes where AI models source their citations from when answering questions. Understanding these patterns helps marketers optimize their content strategy for AI visibility.
"Controllable" citations are those from sources marketers can directly influence. This includes only:
| Control Level | Source Type | Marketer Action |
|---|---|---|
| Full Control | Owned websites & properties | Direct content updates |
| Some Control | Listings & directories | Claim & manage profiles |
Total Controllable = Full Control + Some Control
These sources are outside direct marketer influence:
| Control Level | Source Type | Why It's Difficult |
|---|---|---|
| Limited Control | Reviews & social media | User-generated content |
| No Control | News, forums, gov't sites | Third-party editorial |
While you can't control these directly, reputation management and PR can influence them indirectly.
| Citation | A URL referenced by an AI model in its response |
| Distinct URL | Unique web pages cited (same URL may be cited multiple times) |
| Reuse Frequency | How often the same URL is cited across responses (Citations ÷ Distinct URLs) |
| Objective Query | Factual questions: "What are the hours?", "Where is it located?" |
| Subjective Query | Opinion questions: "Is it worth it?", "What's the best?" |
| Branded Query | Questions mentioning a specific business name |
| Unbranded Query | Generic category questions without brand names |
| Model | Provider | Notes |
|---|---|---|
| Perplexity | Perplexity AI | Highest citation volume (38%) |
| SearchGPT | OpenAI | Prefers listing sources |
| Gemini | Highest controllability (93%) | |
| Claude | Anthropic | Most diverse sources |
Controllability ranges from 70.7% (Non-Profit) to 96.0% (Specialty Services). Service-based industries with strong local presence tend to have higher controllability.
| Industry | Controllable |
|---|---|
| Specialty Services | 96.0% |
| Automotive Retail | 95.9% |
| Dental & Vision | 95.0% |
| Logistics & Mailing | 94.3% |
| Specialty Retail | 93.5% |
| Industry | Controllable |
|---|---|
| Non-Profit | 70.7% |
| Industrial | 76.4% |
| Hypermarkets | 77.2% |
| Specialty Food & Cafes | 80.2% |
| Logistics (Finance) | 80.6% |
| Sector | Citations | Share |
|---|---|---|
| Retail | 5.50M | 23.9% |
| Healthcare | 4.62M | 20.1% |
| Business Services | 4.43M | 19.3% |
| Finance | 3.93M | 17.1% |
| Food & Beverage | 2.81M | 12.2% |
| Hospitality | 1.51M | 6.6% |
| Organizations | 0.16M | 0.7% |
| Sector | Limited Control | No Control |
|---|---|---|
| Organizations | 3.2% | 14.9% |
| Hospitality | 7.0% | 7.5% |
| Food & Beverage | 11.1% | 4.2% |
| Healthcare | 3.8% | 4.2% |
| Retail | 3.3% | 3.4% |
| Industry | Citations | Share |
|---|---|---|
| Automotive Retail | 2.90M | 12.6% |
| Specialized Physicians | 2.22M | 9.6% |
| Restaurants | 2.11M | 9.2% |
| Insurance | 1.98M | 8.6% |
| Maintenance & Repair | 1.60M | 7.0% |
| Industry | Review % |
|---|---|
| Specialty Food & Cafes | 12.3% |
| Restaurants | 10.7% |
| Maintenance & Repair | 10.0% |
| Construction | 9.5% |
| Professional Services | 7.1% |
Food service and home services industries have 2-3x the review exposure of average, making reputation management critical.
Nearly 91% of all AI citations originate from either owned websites (Full Control) or managed listings (Some Control). This means businesses have significant opportunity to shape how they appear in AI-generated answers.
| Control Level | Description | % of Citations |
|---|---|---|
| Full Control | Owned websites & properties | 46.9% |
| Some Control | Managed listings & directories | 43.7% |
| Limited Control | Reviews & social media | 5.5% |
| No Control | News, forums, government, other | 3.9% |
| Model | Full Control | Some Control | Total |
|---|---|---|---|
| Gemini | 51.0% | 42.2% | 93.2% |
| OpenAI | 44.4% | 48.0% | 92.4% |
| Perplexity | 46.7% | 42.1% | 88.8% |
| Claude | 41.1% | 40.4% | 81.5% |
| Model | Prefers | Websites | Listings | Reviews |
|---|---|---|---|---|
| Gemini | Websites | 51.0% | 42.2% | 3.5% |
| Perplexity | Websites | 46.7% | 42.1% | 7.0% |
| OpenAI | Listings | 44.4% | 48.0% | 3.4% |
| Claude | Balanced | 41.1% | 40.4% | 15.0% |
Key Insight: Gemini strongly prefers websites (+8.8pp), while OpenAI favors listings (+3.6pp). Claude pulls significantly more from reviews (15% vs 3-7% for others).
Questions are categorized by intent (objective vs. subjective) and whether a brand is mentioned (branded vs. unbranded). Unbranded queries consistently show higher controllability.
| Question Type | Example | Citations | Controllable |
|---|---|---|---|
| Objective Unbranded | "Best dentist near me" | 7.24M (31.5%) | 93.6% |
| Subjective Unbranded | "Is it worth getting braces?" | 6.02M (26.1%) | 91.4% |
| Objective Branded | "What are [Brand]'s hours?" | 5.80M (25.2%) | 89.4% |
| Subjective Branded | "Is [Brand] any good?" | 3.96M (17.2%) | 85.8% |
Factual queries: hours, location, services, prices
| Share of Citations | 56.7% |
| Total Controllable | 91.7% |
| Full Control | 49.7% |
| Some Control | 42.0% |
| Limited + No Control | 8.3% |
Opinion queries: reviews, recommendations, comparisons
| Share of Citations | 43.3% |
| Total Controllable | 89.2% |
| Full Control | 43.2% |
| Some Control | 46.0% |
| Limited + No Control | 10.9% |
| Metric | Unbranded | Branded |
|---|---|---|
| Total Citations | 13.26M (57.6%) | 9.76M (42.4%) |
| Full Control | 53.7% | 37.6% |
| Total Controllable | 92.6% | 87.9% |
Key Insight: Unbranded queries yield 16pp more Full Control citations. Invest in category-level content to capture these higher-controllability queries.
| Source Type | Objective | Subjective |
|---|---|---|
| Limited Control (Reviews) | 4.5% | 6.8% |
| No Control (News/Forums) | 3.8% | 4.1% |
Key Insight: Subjective queries pull 51% more review content. Reputation management is critical for businesses receiving opinion-based queries.
