Kết nối Semrush MCP với AI
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13/10/2026London, Vương quốc Anh

Workflow: Break down overall traffic growth patterns

Identify how each competitor distributes traffic across channels — which are organic-led, paid-led, or diversified — and where growth is coming from.

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Prompt

For each competitor domain ({competitor-domains}) in {country}, use Semrush Traffic Analytics to retrieve each domain's traffic-source (channel) breakdown — one domain at a time. Request columns: * channel * traffic * traffic_share Aggregate rows by channel to get total traffic_share per channel across these channels: direct / referral / search / social / mail / display_ad / ai_assistants. Build a channel mix comparison table: | Domain | Direct % | Referral % | Search % | Social % | Mail % | Display % | AI Assistants % | Calculate: market_baseline = average traffic_share per channel across all domains. After the table, add 3 bullets: * most_common_growth_channel: channel with highest average traffic_share across all domains, excluding Direct — Direct absorbs unattributed traffic and misleads as the dominant growth channel; show its share in the table but exclude from this bullet * most_diversified: domain with the most balanced channel mix across non-Direct channels (no single non-Direct channel >40%) * over_indexed: domain with one channel at >2× the market baseline (monoculture risk or deliberate channel bet) If data unavailable for a domain, label as low_data. Complete all calls before returning the final table.

Example Output (illustrative)

- A channel mix table per competitor domain — % share across 7 channels (Direct, Referral, Search, Social, Mail, Display, AI Assistants) - Three bullets: most common growth channel excluding Direct, most diversified domain across non-Direct channels, and any over-indexed channel vs market baseline