SIX-PULSE CLOSED-LOOP WORKFLOW

GEO Six-Pulse Workflow: From Data Preparation to Impact Re-Testing

StepOne GEO's Six-Pulse closed-loop workflow connects data preparation, brand diagnostics, customer insights, content production, publishing, and re-testing—with explicit inputs, deliverables, and human sign-off at each stage.

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Material preparation, brand diagnosis, customer insights, content production, publishing optimization, and reporting & retesting form a continuous loop—feeding retest findings back into enterprise knowledge and target questions.
First organize and confirm company materials to set a brand baseline, then research customer questions, draft and review content, and publish with authorization while archiving URLs. Retesting uses comparable queries and samples to feed insights back into the next round.
01 · Data Preparation Ingestion & Product Profiling Agents

Data Prep

Extracts candidate facts from corporate websites, product brochures, and parsable documents while preserving exact source citations. Once verified by the enterprise, they become reusable profiles, product portraits, and asset libraries.

Three standard actions in this stage:
  • · Data Collection:Organize materials while preserving source provenance for candidate fields
  • · Company Profile:Map corporate identity, core lines of business, and trusted credentials
  • · Product Profile:Define capabilities, target audiences, and service boundaries
Input:
Corporate website, product documentation, public certifications, and authorized case studies or media assets.
Deliverables:
Enterprise profile, product portrait, missing-evidence checklist, and verified fact ledger.
Human Sign-Off:
Enterprise verifies candidate materials & product facts
Scope Note:
Automated ingestion and AI diagnostics do not replace legal or regulatory certification; unsubstantiated claims are flagged for verification.
View Stage Deliverables & Checklists →
02 · Brand Diagnostics Brand Diagnostics Agent

Brand Diagnostics

Around verified core queries, observe how different AI platforms introduce, compare, or recommend your business. Brand mentions, ranking positions, framing sentiment, and cited sources are logged separately to establish a comparable baseline.

Three standard actions in this stage:
  • · Cross-Model Responses:Observe how different platforms answer queries and make recommendations
  • · Brand & Competitors:Identify brand mentions and competitor share of voice
  • · Cited Sources:Trace the underlying information sources behind AI responses
Input:
Enterprise & product details, target query set, and selected AI platforms.
Deliverables:
Brand visibility baseline, raw answer samples, cited sources, and priority gaps.
Human Sign-Off:
Enterprise confirms target queries & monitoring scope
Scope Note:
Sampled benchmarks reflect controlled testing across defined query sets and do not represent full platform-wide user query logs.
View Stage Deliverables & Checklists →
03 · Query Insights Query Cluster Agent

Customer Insights

Starts from core business questions to expand comparison, vendor-selection, and recommendation prompts, combining multi-platform answer analysis and source research into structured query clusters.

Three standard actions in this stage:
  • · Query Expansion:Map comparison, recommendation, and vendor-selection queries
  • · Cross-Platform Querying:Analyze current AI answers and their cited sources
  • · Evidence Check:Cross-check source text and query coverage to fill evidence gaps
Input:
Target buyer personas, product use cases, seed questions, and existing research evidence.
Deliverables:
Prioritized queries, structured query clusters, source recommendations, and content angles.
Human Sign-Off:
Enterprise confirms query priority & optimization focus
Scope Note:
AI-expanded prompts serve as structured research candidates and are never misrepresented as verbatim user logs or fabricated search volumes.
View Stage Deliverables & Checklists →
04 · Content Production Topic Planning & Article Authoring Agents

Content Production

Topic Planning and Authoring Agents reuse verified enterprise facts, product portraits, and query evidence to draft multi-angle articles, FAQs, and video scripts — advancing to publication only after human review.

Three standard actions in this stage:
  • · Topic Planning:Assign tailored editorial angles to distinct target queries
  • · Role-Based Drafting:Generate individual drafts systematically via Writing Agents
  • · Quality Check:Verify factual grounding and flag items requiring confirmation
Input:
Optimization goals, verified brand facts, product portraits, and supporting query evidence.
Deliverables:
Topic roadmap, structured articles, FAQ drafts, and video scripts.
Human Sign-Off:
Enterprise approves brand messaging & outbound copy
Scope Note:
All drafts require human sign-off; unverified pricing, credentials, or case studies are never published as fact.
View Stage Deliverables & Checklists →
05 · Source Publishing Source Strategy & Publishing Workflow

Publishing Optimization

Coordinates distribution based on topic relevance, crawler readability, and authorized channels — archiving approval records, publication status, and live URLs so future re-tests trace back to exact pages.

Three standard actions in this stage:
  • · Source Analysis:Evaluate body-text readability alongside topical relevance
  • · Channel Matching:Schedule placements aligned with topic fit and channel authority
  • · Link Archiving:Store live published URLs alongside execution logs
Input:
Approved content, owned & third-party media strategy, and publishing authorization.
Deliverables:
Publication logs, live URLs, and a traceable source inventory.
Human Sign-Off:
Enterprise confirms outlet selection & publishing authorization
Scope Note:
Media distribution follows contracted scope and authorization; live publication does not automatically imply AI indexing or citation.
View Stage Deliverables & Checklists →
06 · Re-Testing & Report Re-Benchmarking & Impact Analytics

Reporting & Re-Testing

Re-runs identical or directly comparable query sets across platforms and timestamps to measure visibility shifts, verifying whether AI answers cite published URLs and feeding insights into the next optimization cycle.

Three standard actions in this stage:
  • · Response Sampling:Continuously track brand performance across AI platforms
  • · Citation Tracking:Verify links between AI answers and your archived published URLs
  • · Cycle Review:Explain cycle-over-cycle changes grounded in execution logs
Input:
Baseline query set, prior answer samples, publication proofs, and re-test scope.
Deliverables:
Before/after visibility comparison, citation evidence, client report, and next-cycle recommendations.
Human Sign-Off:
Enterprise confirms reporting metrics & next-cycle roadmap
Scope Note:
Mentions, indexing, citations, web traffic, and revenue conversion are distinct metrics; conclusions strictly reflect measured data.
View Stage Deliverables & Checklists →

Carry Insights from This Cycle into the Next

After re-testing, add emerging queries, refine enterprise knowledge, and adjust content angles and source selection. Preserving baselines and execution logs makes it clear which shifts are backed by evidence and which hypotheses still need testing.

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