Detect when LLMs cite forums and surface threads driving recommendations

Detect when LLMs cite forums and surface threads driving recommendations targets a $8.4B = 4,000,000 businesses globally x $2,100 ARPA (annual brand/monitoring + AI-insights suites) total addressable market with medium saturation and a year-over-year growth rate of LLM-driven monitoring and AI-operational tooling growing ~30–60% YoY as enterprises integrate LLMs into workflows.

Key trends driving demand: LLM integration in workflows -- More services embed LLMs for discovery/support, increasing the impact of model-provided recommendations on traffic and conversions.; Demand for provenance & explainability -- Businesses want to know why models recommend particular sources, driving need for citation tracking.; Shift from search to chat/assistant-first discovery -- Loss of classical SERP signals increases value of tools that map assistant outputs back to web sources.; API access & cheaper inference -- Faster, cheaper API calls enable high-frequency sampling of multiple models for near-real-time monitoring..