Workflow 01
Content Engine Agent
Topic discovery → keyword + GEO targeting → draft → editorial review → publish → social blast → measure → next-topic. Productized inside GaaS.
By function · Marketing
Content that compounds. SEO + GEO that responds weekly, not quarterly.
The marketing tonnage, topic research, draft cadence, paid re-optimization, review responses, citation maintenance, is exactly the work that compounds when agents do it continuously. The content engine, the Reviews Velocity engine, and the analytics integrations layer in Zyos OS are the productized proof.
Agent workflows we deploy
Five concrete workflows, not abstract claims.
Each workflow is a multi-step orchestration with a visible task log and an outcome metric. Productized inside AaaS.
Workflow 02
Local SEO + GBP Agent
Citation health monitoring → review monitoring + response drafting → GBP post cadence → Q&A monitoring → service-area accuracy.
Workflow 03
Paid Optimization Agent
Campaign monitoring → bid adjustments → creative refresh → audience expansion/exclusion → budget rebalancing. Continuous, not weekly.
Workflow 04
Lifecycle Marketing Agent
Subscriber segmentation → re-engagement campaigns → nurture sequences → conversion-event tagging → win-back automation.
Workflow 05
Reviews + Reputation Agent
Review monitoring across platforms → response drafting → escalation for negative sentiment → review velocity tracking. (Reviews Velocity Engine module.)
Show, don't tell
One worked example, end-to-end.
Workflow steps + a sample of the visible task log + the outcome metric.
Marketing · AaaS, Workflows
Content + Distribution Agent Workflow
Topic research → keyword targeting → draft → editorial review → publish → social distribution → measurement → next-topic recommendation.
01Topic research
Mining GSC queries + LLM-citation gaps for this quarter's theme.
02Keyword targeting
Selecting head + long-tail set with KD and intent ranking.
03Draft
Producing playbook draft with Quick Answer block + entity stacking.
04Editorial review
Routing to human reviewer with proposed edits flagged inline.
05Publish
Pushing to CMS + validating JSON-LD + submitting to GSC.
06Social distribution
Adapting to LinkedIn / Facebook native formats; scheduling.
07Measurement
Tracking impressions + LLM citations + inbound from organic.
Visible task log · Foundational AI Layer
step 1/7 · Mining GSC queries + LLM-citation gaps for this quarter's theme ...done in 1.6s
step 2/7 · Selecting head + long-tail set with KD and intent ranking ...done in 2.3s
step 3/7 · Producing playbook draft with Quick Answer block + entity stacking ...done in 3.0s
step 4/7 · Routing to human reviewer with proposed edits flagged inline ...done in 3.7s
Outcome metric
1 piece / week shipped
+ distribution per content-engine-playbook.md cadence
BI signals
What this function generates, and what it consumes from the rest of the business.
The cross-functional integration is what makes agents compound. A signal generated here often triggers action somewhere else.
Generated
- Organic + GEO impressions
- Conversions per channel
- Content performance
- Review velocity
- Citation consistency
- Paid efficiency (CPL, ROAS, attributed pipeline)
Consumed
- Sales pipeline data (closes the attribution loop)
- Customer success signals (NPS, retention)
- Product usage signals (product-led marketing)
Software + integrations
The stack we integrate.
GA4, Google Ads, Facebook Ads, LinkedIn Ads, your GBP, marketing automation, CMS, ad creative tooling, and review platforms, integrated through the analytics-integrations layer in Zyos OS. Capability language only.
Operations changes
What the team experiences in the first 90 days.
- 01Editorial calendar shifts from monthly planning to continuous topic discovery + automated drafting.
- 02Paid campaign management moves from weekly review to monthly review, the agent re-optimizes in between.
- 03Review responses move from 'tomorrow' to 'within 4 hours' without burning out a human.
- 04Cross-channel attribution becomes legible, the agent stitches signals automatically.
Measured business outcomes
Typical 90-day movement.
Ranges, not promises. Actual outcomes depend on the starting state surfaced by PI Implementation.
| Outcome | Typical 90-day movement |
|---|---|
| Organic traffic | +20–40% |
| GEO citations (LLM mentions) | 0 → measurable per quarter |
| Review velocity | +50–150% |
| Paid efficiency (cost per qualified lead) | −15–30% |
| Content output | +3–5x without proportional headcount |
Customer Success cadence
How the results stay proven, quarter over quarter.
QBR slide tracks organic trend, GEO trend, paid efficiency, review velocity, content output, agent task throughput. OKRs typically tie to qualified pipeline + brand surface area. Monthly report tracks ranking + impressions + citations + reviews. GaaS engagements use the specialized GaaS QBR format.
Ready when you are
Start with a measurement.
The Opportunity Engine intake routes by function. Pick this one in the bottleneck question and the diagnostic will identify the two or three workflows worth deploying first. Want it run for you as a managed service? Agent as a Service is productized on zyos.io.