How-to guides
Implement the architecture yourself. Or skip to the paired productized implementation.
Each guide walks you through deploying one agent from the orchestration architecture — step-by-step, with copy-pasteable configs. Each pairs to a productized implementation: the 30-minute version is doing it yourself with the how-to; the 2-3 week version is the paired implementation deployed for you with a 30-day operating tail; the 4-8 week version is the Tier 2 AI Swarm Setup Sprint bundling this with one more agent; the ongoing version is the Tier 3 Fractional CMO operating the resulting orchestration.
Not sure which how-to fits? Take the 3-question shape diagnostic — no email required.
The how-to set
How to deploy an AI review-response agent across 50+ locations in 2 weeks
A step-by-step build guide for wiring brand-voice-gated review responses across GBP, Yelp, and your platform of choice.
Reduces per-location review response time from 8 hours to 6 minutes — and the response quality is more on-brand than the manual baseline, not less.
- Implementation time
- 90–120 min
- Anchor keyword
- how to respond to google reviews
See the how-to →
How to generate 200 location-service pages from your master record in one afternoon
The architecture + step-by-step for wiring a per-location page generator that respects your brand spec, your URL hierarchy, and the cosine-similarity distinctness threshold that prevents cannibalization.
Generate 200 brand-spec-compliant location-service pages in 90 minutes from your master record — with schema.org markup, internal-link hierarchy, and a cosine-similarity distinctness check baked in.
- Implementation time
- 120–240 min
- Anchor keyword
- location landing pages
See the how-to →
How to wrap Yext (or BrightLocal) with brand-voice-gated GBP posting at scale
The wrapper-interface pattern for adding governance + brand-voice gating + attribute-drift detection on top of your existing GBP tooling — without a vendor swap.
Catch GBP attribute drift across 200 locations daily — without paying for a second tool on top of your current Yext / SOCi / Uberall stack.
- Implementation time
- 60–90 min
- Anchor keyword
- google business profile manager
See the how-to →
How to design a local content agent that captures 60-150k incremental monthly visits by month 12
The query-cluster prioritization algorithm + J-curve telemetry pattern that makes long-tail local content compound at multi-location umbrella scale.
Capture 60-150k incremental monthly long-tail visits at 200-location scale by month 12 — but only if the J-curve telemetry dashboard is visible from day 1, because the agent looks like nothing for the first 90 days.
- Implementation time
- 120–180 min
- Anchor keyword
- local seo content
See the how-to →
How to wrap Yext with NAP-canonical approval governance — and prevent the typo-cascade that takes weeks to undo
The wrapper-interface pattern for layering brand-spec-aware governance on top of your existing citation distributor — including the verification step that prevents a typo from propagating to 150 directories.
Prevent the single most common multi-location SEO catastrophe: a typo in your master record propagating to 150 directories within hours via Yext, then taking weeks of manual cleanup at $X per directory to undo.
- Implementation time
- 60–90 min
- Anchor keyword
- how to build local citations
See the how-to →
How to build a brand spec your AI agents can actually enforce
Translate your existing brand voice document into an AI-enforceable spec — the artifact every brand-voice gate consumes.
Most multi-location operators have a brand voice document; almost none have a brand spec. The difference is the artifact your AI agents can actually score against.
- Implementation time
- 240–480 min
- Anchor keyword
- brand spec for AI
See the how-to →
How to set up a brand-voice gate that catches AI drift across 50+ locations
Two-model gating, per-surface threshold calibration, and the bounded-retry pattern that catches drift before publish.
A two-model brand-voice gate runs at ~$500-850/month for 50 locations, vs $135k-$540k/year for the manual-review alternative.
- Implementation time
- 480–960 min
- Anchor keyword
- brand voice gate
See the how-to →
How to route borderline AI outputs to the right human (without burning out your editorial team)
Four-tier queue design, role-based routing, escalation tree, and the 24-hour SLA with safety-valve defaults.
A 200-location franchisor produces 12,000-25,000 candidate outputs per month; queue design determines whether 80-170/day reach humans (rubber-stamp territory) or 12-65/day (sustainable judgment).
- Implementation time
- 360–720 min
- Anchor keyword
- editorial governance AI
See the how-to →
How to load per-vertical compliance overlays at runtime (without burying every output in disclaimers)
Two-stage compliance check (deterministic pre-filter + LLM gate), jurisdiction-aware enforcement, and the regulator-facing audit trail.
Compliance is binary per claim — there is no "passes at 0.85." Compliance failure is the only failure mode that can end the franchisor business.
- Implementation time
- 480–1440 min
- Anchor keyword
- AI marketing compliance
See the how-to →
How to write a master record your AI agents can actually read (and the operations team can actually maintain)
Designate one canonical system, define the schema, and write the operational discipline that keeps it accurate.
Most operators have facts about their locations scattered across 4-7 systems, none canonical. The fix is designating ONE existing system as the master record — not buying a new tool.
- Implementation time
- 240–480 min
- Anchor keyword
- master record multi-location
See the how-to →
Frequently asked
- Should I do this myself or pay someone to deploy it?
- DIY the how-to when the framework is the bottleneck and you have engineering or marketing-ops capacity to implement within the listed implementation-time window. Pay for the paired productized implementation when one surface is the bottleneck and you want it shipped in 2-3 weeks with a 30-day operating tail and full artifact ownership. Pay for the Tier 2 AI Swarm Setup Sprint (4-8 weeks) when the orchestration shape above the agents is the bottleneck. The Tier 1 AI Readiness Assessment (2-3 weeks) surfaces which shape your operation needs before the commitment.
- How do I pick the right how-to for my surface?
- Each how-to pairs to one of the 5 productized implementations (review response, per-location page generator, GBP orchestration, local content, citation). Pick the how-to that matches the surface costing the most attention this month, or take the 3-question shape diagnostic to get routed to a specific implementation by pain × scale × urgency.
- How does the how-to relate to the cornerstone pieces?
- The how-to walks the build; the cornerstone walks the architecture. If a how-to step is unclear, the paired cornerstone explains why the step exists in the broader 5-component orchestration shape (multiple agents with boundaries + shared context layer + brand-voice gate + editorial governance routing + telemetry). Read the cornerstone for context; read the how-to for execution.
- How does pricing work for the deploy-for-you path?
- Pricing is scoped on a 30-minute consultation. Paired productized implementation pricing is on the implementation page. Tier 1 AI Readiness Assessment is a 2-3 week diagnostic. Tier 2 AI Swarm Setup Sprint is a 4-8 week build. Tier 3 Fractional CMO with AI Swarm is a 6-month minimum embedded engagement (1-2 days/week). We send a private engagement link after we agree on scope.
DIY the how-to, or pick the deploy-for-you tier
Paired productized implementation (2-3 weeks), Tier 2 Setup Sprint bundling two agents + orchestration above (4-8 weeks), or Tier 3 Fractional CMO operating the orchestration across quarters .
Or browse all 5 productized implementations first.