Agentic marketing research
R&D designSpecialist workflows are being designed to monitor technical SEO, local search, paid campaigns, content, email, and AI-answer visibility, then surface evidence-backed opportunities.
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BRECOG · Marketing intelligence
We’re building a more accountable way to research, measure, and improve digital marketing. Explore the technology behind the approach, then open the client concept below.
Explore our technologyTechnology with a job to do
BRECOG’s R&D brings AI agents, current platform evidence, and controlled experiments into one accountable workflow. The status labels below separate working research from plans that still need proof.
Specialist workflows are being designed to monitor technical SEO, local search, paid campaigns, content, email, and AI-answer visibility, then surface evidence-backed opportunities.
Recommendations distinguish observed facts, official platform rules, hypotheses, and locally measured results. Sources carry dates and can be rechecked as platforms change.
Project access, client separation, and approval to publish or contact someone are treated as separate permissions. Live marketing and email connectors are not yet enabled.
A small prototype tests how dated observations, corrections, and delayed outcomes should be handled across runs. It has no durable production memory or live client data.
Ideas start with a baseline, a specific business outcome, and guardrails for lead quality, spend, revenue, and site health. Reversible tests earn wider use through evidence.
Search positions and AI answers can vary by place, query, platform, and time. BRECOG measures visibility as evidence; no ranking or revenue result is guaranteed.
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