Frequently Asked Questions
What is Bayesian & Priors?
Bayesian & Priors is a marketing science consultancy that builds the only Marketing Mix Model with a dedicated AI agent channel. Founded in 2025 by Andres Plashal, Bayesian & Priors measures how well content survives the DSCRI-ARGDW 10-gate pipeline and converts through AI-mediated recommendations.
What is the DSCRI-ARGDW pipeline?
The DSCRI-ARGDW pipeline is a 10-gate sequential confidence model for AI visibility. Content flows through Discovered, Selected, Crawled, Rendered, Indexed (foundation tier), then Annotated, Recruited, Grounded, Displayed, and Won (advanced tier). Each gate's output feeds the next. If any single gate fails, nothing downstream can compensate. The framework is open and available to anyone; what Bayesian & Priors adds is the connection between these gate scores and marketing revenue measurement.
How does Bayesian & Priors measure AI recommendations?
Bayesian & Priors scores each DSCRI-ARGDW gate for a brand and feeds the results into a Marketing Mix Model through a proprietary integration. The model then quantifies how much revenue the AI channel is contributing, which gates are limiting performance, and where budget reallocation would have the highest impact on AI-driven discovery.
What is Marketing Mix Modeling?
Marketing Mix Modeling (MMM) is a statistical method that answers the question: how much revenue did each marketing channel contribute? Traditional MMM measures paid search, social, display, and TV. Bayesian & Priors extends MMM to include AI-driven discovery as a measurable channel, so marketing leaders can make budget decisions based on data rather than assumptions about where AI fits in their mix.
What is the AI agent channel in marketing?
The AI agent channel refers to revenue driven by AI-mediated recommendations from ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Each platform recommends different brands for the same query, which means AI discovery behaves differently across platforms and cannot be treated as a single channel. Most analytics tools lump this traffic into "direct" or "organic" where it becomes invisible. Bayesian & Priors measures it.
How do DSCRI-ARGDW gate scores work?
Each of the 10 DSCRI-ARGDW gates produces a confidence score from 0 to 100 percent. Confidence is multiplicative: scoring 90 percent per gate yields only 34.9 percent end-to-end pipeline confidence. A single weak gate dominates the final score and blocks downstream conversion.
What is multiplicative gate confidence?
Multiplicative gate confidence means each gate score is multiplied, not added. Ten gates at 90 percent each produce 0.9 to the tenth power, equaling 34.9 percent end-to-end confidence. This demonstrates why balanced optimization across all 10 gates matters more than perfecting any single gate.
How is Bayesian & Priors different from SEO, GEO, and CRO agencies?
SEO agencies optimize search rankings. GEO agencies optimize local visibility. CRO agencies optimize conversion rates. None of them measure whether AI agents are recommending your brand when a buyer asks ChatGPT, Perplexity, or Gemini for advice. Bayesian & Priors addresses Assistive Agent Optimization (AAO) through the DSCRI-ARGDW framework and connects that measurement directly to revenue through Marketing Mix Modeling. No other firm offers this combination.
How is Bayesian & Priors different from traditional MMM vendors?
Traditional MMM vendors like Meridian, Robyn, and Recast treat organic as a single line item and have no measurement for the AI channel. Without existing data on AI-driven discovery, these models require 12 or more months before producing actionable results. Bayesian & Priors is the first to bridge MMM and DSCRI-ARGDW, feeding observable AI visibility signals into the model so marketing leaders get actionable AI channel measurement in weeks, not quarters.
What are the 10 gates in the DSCRI-ARGDW pipeline?
The foundation tier (DSCRI) includes Discovered, Selected, Crawled, Rendered, and Indexed. The advanced tier (ARGDW) includes Annotated, Recruited, Grounded, Displayed, and Won. Foundation gates determine whether AI bots can process content. Advanced gates determine whether algorithms will choose and cite it.
What is Assistive Agent Optimization?
Assistive Agent Optimization (AAO) is the practice of optimizing content so AI assistants select, cite, and recommend it when helping humans make decisions. AAO evolved from SEO and GEO to focus on agent trust and selection preference, not just visibility in traditional search results.
How does the AAO Confidence Audit work?
The AAO Confidence Audit scores each of the 10 DSCRI-ARGDW gates for a specific brand or domain. The audit produces a gate-by-gate diagnostic, identifies bottleneck gates, and generates a remediation roadmap. Three weighting profiles are available: SEO-heavy, AAO-heavy, and balanced.
Why do AI channel models need informative priors?
Without prior knowledge about the AI channel, a Marketing Mix Model treats it as completely unknown and needs 12 or more months of conversion data before it can estimate the channel's contribution. DSCRI-ARGDW gate scores give the model observable evidence about AI visibility before conversion data accumulates, enabling actionable measurement in 4 to 6 weeks instead of quarters.
What is the corroboration threshold for AI citations?
Content shifts from "claims to be" to "is" in AI knowledge systems at approximately 2 to 3 independent, high-confidence sources. Once crossed, the effect is multiplicative: early movers who establish corroboration pull away exponentially from competitors who have not.
How often should DSCRI-ARGDW scores be updated?
DSCRI-ARGDW gate scores should be re-audited weekly or after each significant content deployment. Each audit updates the Bayesian prior for the next modeling period through sequential Bayesian updating, where each quarter's posterior becomes the next quarter's prior.
Who founded Bayesian & Priors?
Bayesian & Priors was founded in 2025 by Andres Plashal, a marketing scientist specializing in Bayesian econometrics and AI agent optimization. Bayesian & Priors operates as a practice of Plashal LLC, focused on measuring AI-mediated search discovery as a dedicated marketing channel.
Last updated: March 31, 2026