Competitive Reality Simulation: Modeling AI Citation Competition
Competitive Reality Simulation is a SiteNexis model for bounded query/provider samples, showing how sources may compete for limited citation opportunities without claiming the entire ecosystem is universally zero-sum.
SiteNexis Competitive Reality Simulation treats citation opportunity as a relative question within a defined query, provider and response sample. A response may expose only a limited set of sources, but that bounded competition does not establish a universal zero-sum law for every AI system or market.
The Softmax Model of Citation Allocation
The Competitive Reality Simulation models citation allocation using a softmax function over composite signal strength across competing domains in a query cluster. The probability that domain dᵢ is cited for query cluster Q is proportional to exp(σᵢ × wQ) divided by the sum of exp(σⱼ × wQ) across all competing domains j. Here σᵢ is the domain's composite signal strength and wQ is the query-type weight vector — which signals dominate for that cluster type. This is a model, not a claim about AI system internals. It captures the essential competitive property.
Query Cluster Topology
The simulation classifies content into intent-based query clusters, estimates competitive density from the available sample, and models relative position within each cluster. Multiple sources may coexist; the number of visible references depends on the provider and response format rather than a universal slot count.
●Without competitor audit data, the simulation uses three bracket assumptions for competitor trajectories: conservative (top-quartile competitors improve at historical benchmark rate), baseline (all above-median competitors improve at benchmark rate), and aggressive (above-median competitors improve at 1.5× benchmark rate). With competitor data from Pro-tier competitive analysis, named competitor scores replace the assumptions, narrowing uncertainty intervals significantly.
Displacement Mechanism Decomposition
Citation share changes have three distinct causes: trust decay (your own signals are deteriorating — reversible by fixing Fix Plan items), competitor improvement (the competitive set is raising its signal quality — only partially reversible by improving faster), and market saturation (the query cluster is reaching competitive equilibrium — not reversible by action, requires developing new cluster coverage). The simulation decomposes projected share change into these three mechanisms so you can see which portion of a projected decline is within your control.
Absolute vs. Relative Citation Gain
The simulation always reports both dimensions separately. Total citation frequency change equals change in market share multiplied by market volume at time T, plus current share multiplied by market volume change. A domain in a growing query cluster may gain absolute citation frequency while losing relative share — both numbers matter but they mean different things. A rising tide lifts all boats; the competitive position question is whether your boat is rising faster than competitors'. SiteNexis reports both so you never conflate market growth with competitive improvement.
See where you actually stand in the AI citation competition for your primary query clusters — not just your absolute score.
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