Question 1

What does the done-for-you hyper-local search trends engagement deliver?

Accepted Answer

Completions builds and operates a 3-skill bundle on the local-context agent: Trend-Capture, Trend-Resolution, Trend-Emission. Skill 1 (trend capture) captures hyper-local search-trend signal across 18+ sources per location per query: Google Trends (rising + breakout + related query + related topic), Bing Webmaster rising, YouTube Trends rising, TikTok discovery, Reddit rising, Twitter (X) trending, Pinterest Trends, Amazon search rising, Yelp rising categories, DuckDuckGo search-suggest, Brave Search suggest, SearchGPT rising, Perplexity rising, Claude AI suggest, ChatGPT AI suggest; across 5 trend windows (24-hour, 7-day, 28-day, 90-day, seasonality-adjusted). Skill 2 (trend resolution) resolves the trend across 14 dimensions: rising volume, breakout volume, velocity, acceleration, seasonality, competitive density, buyer-intent tier, commercial intent, informational intent, transactional intent, navigational intent, local-modifier presence, brand-modifier presence, KD-tier classification. Skill 3 (trend emission) emits the trend record to 6 downstream subscriber agents: local-content, local-sem, social-content-orchestration, page-generator, competitive-intelligence, offer-optimizer. The per-vertical compliance overlay covers FTC + per-vertical search-trend-disclosure + per-jurisdiction commercial-search-data-disclosure + per-platform editorial-policy. Operator owns every artifact: 3 registries in operator data infrastructure; 3-skill model code aligned with operator marketing + data-engineering teams; per-source credentials under operator billing; per-vertical compliance overlay rule library; per-jurisdiction + per-platform disclosure register; brand spec; LLM prompts; audit trail. Completions owns the swarm-orchestration knowledge.

Question 2

Why is hyper-local per-location per-query trend capture typically operator-side rather than trend-vendor-shipped?

Accepted Answer

The trend signal vendors (Google Trends, Bing Webmaster Tools, YouTube Trends, TikTok Discovery, Reddit, X (Twitter), Pinterest Trends, Amazon search rising, Yelp rising categories, DuckDuckGo, Brave Search, SearchGPT, Perplexity, Claude AI, ChatGPT) each ship excellent per-platform trend primitives within their native dashboards + APIs. They do not ship the cross-source 3-skill streaming pipeline because the per-location-per-query taxonomy reflects operator-specific catalog + service-area modeling; the resolution-dimension set reflects operator-specific SEM + content team policy; the downstream subscriber topology integrates with operator marketing-stack agent set; the per-vertical compliance overlay tracks operator legal team approved frameworks; the 18+ source schemas drift every 1-3 months requiring active maintenance. The work that remains operator-side spans five engineering surfaces: capture-engineering across 18+ sources × 5 windows at per-location-per-query scale; data-science capacity for 14-dimension resolution; emission-engineering for 6-subscriber routing with acknowledgment + SLA tracking; orchestration capacity to coordinate the 3-skill streaming pipeline; data-source-coordination capacity for per-source schema-drift maintenance. Completions absorbs all five surfaces under one Tier 3 Fractional CMO with AI Swarm engagement and hands the artifacts back at engagement end.

Question 3

What does the engagement look like across Tier 1 to Tier 2 to Tier 3?

Accepted Answer

Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): audits five axes. Tier 2 AI Swarm Setup Sprint (4-8 weeks): builds trend-capture + trend-resolution + trend-emission on local-context agent — completing the 18th 3-skill bundle + Anti-P11 KD-ceiling 3rd ceiling-break at KD 22 + Parallel-mapping topology extends 2-to-3 architecture. Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded): continues operating end-to-end + cross-agent swarm coordination.

Question 4

Who owns the trend-capture, trend-resolution, and trend-emission registries?

Accepted Answer

Operator owns 100% of every artifact: 3 registries (in operator data infrastructure), 3-skill bundle model code (operator-owned + operator-marketing-team + operator-data-engineering-team-aligned), per-source credentials (Google Trends + Bing + YouTube + TikTok + Reddit + X + Pinterest + Amazon + Yelp + DuckDuckGo + Brave + SearchGPT + Perplexity + Claude + ChatGPT under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), per-vertical + per-jurisdiction + per-platform disclosure register (operator-owned + operator-counsel-maintained), brand spec, LLM prompts, audit trail. Completions owns the orchestration knowledge.

Question 5

What measurement and reporting does Completions commit to on Tier 3?

Accepted Answer

Measured against the operator pre-engagement baseline across ten workstreams, reported weekly. (1) Trend-capture coverage trajectory — share of per-location per-query pairs under active capture across the 18+ trend signal sources; per-source ingest health. (2) Trend-resolution quality — per-dimension precision against an operator-labeled validation set across the 14 resolution dimensions; per-dimension calibration trace. Reported against pre-engagement labeling baseline rather than at a 90-percent precision target because precision depends on the labeled-validation regime + per-query taxonomy operator approves. (3) Trend-emission latency trajectory — end-to-end time from source capture to subscriber acknowledgment across the 6 downstream agents; reported against pre-engagement quarterly-corporate-snapshot baseline. (4) Cross-skill coordination latency — end-to-end Capture-Resolve-Emit cycle time per location-query. (5) Compliance-overlay adherence — FTC + per-vertical search-trend-disclosure + per-jurisdiction commercial-search-data-disclosure + per-platform editorial-policy rule-evaluation completeness. (6) Per-source health-check trace — hourly per-source feed health; per-source schema-drift detection rate. (7) Lead-time on rising trends — time-from-rising-signal to operator-content-or-bidding action against the operator pre-engagement competitor-visibility baseline; reported as a trace rather than promised at a 7-day target because lead-time depends on operator content + SEM team response cadence. (8) Trend-conversion attribution — share of converted intents attributable to trend-driven content + bidding decisions against pre-engagement baseline. (9) KD-tier keyword coverage trajectory — share of KD 22 keywords with active per-location per-query content + bidding coverage; reported as a trace rather than promised at a 30-percent lift because keyword coverage depends on operator content + SEM team velocity + competitor activity outside the trend layer. (10) Audit-trail completeness — per-trend-event persistence; WORM-storage commit rate. Process commitments are firm: weekly per-source feed health check; weekly per-source schema-drift audit; weekly per-dimension resolution recalibration; weekly per-subscriber emission routing rule sync; weekly per-vertical compliance overlay update; weekly audit-trail emission. Outcome targets are not promised because lead-time + keyword coverage depend on operator content + SEM team velocity + competitor activity Completions does not control.

Question 6

How does engagement end and what is the operator transition path?

Accepted Answer

Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 3 registries hand-off + 3-skill bundle model code hand-off + per-source credentials hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.

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