See Exactly Why Competitors Get Cited
by AI Engines — and How to Beat Them

The 20 signals are: FAQPage schema presence and quality, Article schema completeness, Author schema with credentials, Organisation schema completeness, entity coverage breadth, information gain score relative to topic average, content freshness, external citation quality, internal linking density, content word count relative to top performers, heading structure and direct-answer formatting, semantic keyword coverage, E-E-A-T score, topical authority score, AI citation rate estimate, mobile content delivery, page speed signals, structured data accuracy, content-type-specific schema, and YMYL compliance signals where applicable.

The citation rate estimate is calculated from direct testing across AI platforms combined with signal-based modelling. Direct testing samples relevant queries across ChatGPT, Perplexity, and Google AI Overview and records citation occurrences. The estimate carries approximately 15 to 20% margin of error for any individual domain, but is reliable as a relative comparison between your domain and competitors.

Gaps are ranked by citation rate impact combined with implementation time. Highest priority: schema additions implementable in under 2 hours with high citation rate impact. Second priority: content strategy gaps requiring content creation. Third priority: topical authority gaps requiring months of content investment.

Yes. The content strategy gap analysis identifies specific content pieces on competitor domains that are earning AI citations — the exact article URLs, content types, and topic angles producing citation results. This tells you specifically what to publish to compete for the same citations.

Monthly monitoring is recommended for active competitive landscapes. Quarterly is sufficient for stable niches. The tool identifies new gaps that emerge as competitors publish new content, implement new schema, or build new authority signals.

Yes. Fully available on the free plan with 15 runs per month. Each run provides the complete 20-signal matrix comparison across up to 4 competitors, citation rate estimates, quick-win gap identification, content strategy gap analysis, and improvement forecast.

The content strategy gap analysis in Competitor Intelligence identifies specific articles and content formats on competitor domains earning AI citations that you have no equivalent for. Filter this list by citation rate impact (high impact first) and word count (shorter first for fastest publication). The resulting priority list tells you exactly which content to create in what order. Cross-reference with the topical authority mapper to ensure each piece fits into your cluster architecture.

Yes. Running Competitor Intelligence against sites that cover your topic but operate in different niches — for example, a general marketing blog that covers your software category — often reveals schema and content format approaches your direct competitors have missed. Indirect competitors sometimes have higher citation rates for specific query types because they have adopted AI-optimised content formats faster than category incumbents. These indirect competitor insights can provide your fastest citation improvement opportunities.

Based on data across 94,000 competitor analyses, schema quick wins (FAQPage, Author schema, Organisation schema completion) implementable in under 2 hours produce an average citation rate improvement of 12 to 18 percentage points within 4 to 6 weeks. A new 3,000-word content piece targeting a gap query produces an average improvement of 8 to 14 percentage points over 8 to 12 weeks. Schema quick wins have a faster payback with lower effort — content creation has higher long-term compound value.

When all competitors have similar citation rates, the opportunity is to be the first in your niche to meaningfully improve. Look at the 20-signal matrix for gaps that all competitors share — these are your easiest wins because they require no competitive advantage to claim. If FAQPage schema is missing across all competitors, implementing it first makes you the strongest citation candidate for FAQ-triggered queries immediately. The tool highlights shared gaps across all analysed domains for exactly this reason.