Ten agent workflows for the audience team — reader persona mapping, referral source analysis, social media amplification signals, newsletter growth intelligence, search intent mapping, demographic shift detection, engagement pattern analysis, reader journey optimization, community engagement scoring, and audience overlap analysis — all powered by domain intelligence across 100M+ domains.
AI agent builds detailed reader personas by analyzing the domains that link to and share AdvanceLocal content — using IAB categories, persona data, and geographic signals to understand who is reading and why.
AI agent maps the complete referral ecosystem for AdvanceLocal properties by analyzing which external domains drive traffic — categorizing sources by type, quality, and growth trajectory to optimize distribution strategy.
AI agent identifies which topics and stories get the most social sharing by analyzing /blog content that appears on high-PageRank social and aggregator domains — helping the audience team prioritize content for social distribution.
AI agent analyzes newsletter ecosystems across regional news domains — identifying subscriber acquisition opportunities, competitive newsletter launches, and content topics that drive the highest newsletter signup rates.
AI agent analyzes domain intelligence to understand what audiences in AdvanceLocal markets are searching for — mapping search intent from /blog topics, /products pages, and IAB categories to identify content opportunities aligned with active search demand.
AI agent detects demographic shifts in AdvanceLocal markets by analyzing domain changes — new school domains, healthcare facility expansions, real estate company activity, and business registrations that indicate population growth, aging, or migration patterns.
AI agent analyzes cross-domain engagement patterns to understand when, where, and how audiences in AdvanceLocal markets consume news — optimizing publish times, content formats, and distribution channels.
AI agent maps reader journeys by analyzing how audiences move between AdvanceLocal content and external domains — identifying entry points, drop-off patterns, and re-engagement opportunities to maximize session depth and subscription conversion.
AI agent scores community engagement levels across AdvanceLocal markets by analyzing local domain activity, /events page density, community organization /blog activity, and civic domain health — identifying which communities are most engaged and which need more attention.
AI agent maps audience overlap between AdvanceLocal properties and external publishers by analyzing shared referral domains, common persona profiles, and IAB category affinity — identifying collaboration opportunities and competitive threats.
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