Service · Agentic Growth Retainer
Treat agent-readiness as a lasting advantage.
Monthly optimization sprints, AI citation monitoring across the major models, content engineering for agent answers, and quarterly re-audits, built on the foundation your audit and implementation established.
EngagementCustom scopeMinimum90-day minimumRenewalQuarterly renewal
The Problem
One-time gains decay. The lasting advantage is the work that follows.
Agent-readiness is not a checklist you complete once. The framework updates. New agent surfaces launch. Competitors close gaps. Content ages. Entity authority requires ongoing cultivation: Wikipedia citations take months; maintaining them takes more. What scores 78 today scores 61 in eighteen months on a maintained-but-not-advanced site. The retainer treats agent-readiness as a practice rather than a project. The monthly sprint cadence closes new gaps as they open. Citation monitoring catches when you slip out of agent answers. Quarterly re-audits confirm your band and reset priorities. The engagement keeps adding to itself in a way a one-time project doesn't.
What's Included
Five workstreams, month after month.
01 · Monthly
Optimization sprint
A structured monthly sprint against the highest-priority MAGNET items. Sprint scope set at the start of each month, outputs delivered by end of month, reviewed in the monthly strategic call.
02 · Monthly
AI citation monitoring
Tracking your brand across ChatGPT (search mode), Perplexity, Claude, and Gemini for the query set established at scoping. Monthly report: citation count, sentiment classification, competitor comparison.
03 · Monthly
Content engineering for agent answers
FAQPage schema deployment, claim-evidence article production, comparison content, structured FAQ formats that AI agents preferentially cite.
04 · Quarterly
Quarterly re-audit
Full MAGNET re-score every three months. Band assignment updated. Backlog refreshed. Sprint priorities for the next quarter set from re-audit findings.
05 · Long-cycle
Entity authority work
Wikipedia entry creation and maintenance, Wikidata property population, English and Arabic. The longest-cycle workstream; results build over 6 to 12 months.
Rhythm
Monthly, quarterly, annual.
The cadence is fixed. Every sprint has a defined scope and a defined output. There are no rolling commitments without defined deliverables.
Monthly
Sprint cadence
Week 01: Sprint planning, scope, priorities, resource assignment. Weeks 02 to 03: Execution, sprint deliverables. Week 04: Reporting, 30-min review call, monthly report issued.
Quarterly
90-day milestone
Full MAGNET re-audit. Band assignment updated. Scope review for next quarter. Tier adjustment if needed.
Annual
Year-over-year review
Full engagement review, multi-year trend analysis, strategic direction for the next twelve months.
Workstreams
All seven MAGNET dimensions, maintained and advanced.
D 01
Entity Authority
Wikipedia and Wikidata work, English and Arabic. Citation density across the open web. 6 to 12 month cycle per item.
D 02
Content Extractability
Monthly content engineering: claim-evidence articles, FAQ schema, comparison formats, Arabic-language content structure.
D 03
Freshness Signals
dateModified accuracy maintained, expired content removed, version drift tracked month-over-month.
D 04
Structured Data
Schema maintained as site content changes. New page types added to schema coverage as site evolves.
D 05
Semantic & Accessible Markup
Accessibility-tree integrity maintained as site evolves. New features reviewed before deployment.
D 06
Crawler & Connectivity
robots.txt and llms.txt kept current. New agent user-agents added to permission lists as they launch.
D 07
Agentic Conversion / Transactability
For commerce and booking-driven clients, selector stability validated monthly against site changes. Conversion and payment flows re-tested quarterly. Regional rail integrations maintained.
Fit
The retainer is right for you if any of these are true.
Run this if
- You've completed an audit and/or implementation and want to maintain and extend the advantage.
- You're in Agent-Friendly or Agent-Native band and the work is now competitive rather than foundational.
- You want citation monitoring across the major AI models as a standard reporting metric.
- Entity authority, Wikipedia, Wikidata, English and Arabic, is a priority and you understand it's a long-cycle investment.
- You want a partner who stays in your stack rather than consulting from the outside.
Skip this if
- You're in Frictional or Dark Site bands: the implementation is the right next step, not the retainer.
- You're pre-revenue or pre-launch: address that first.
- You want a one-time project, not an ongoing engagement.
- You don't have an internal counterpart who can attend monthly reviews and coordinate on sprint execution.
Evolution
Three stages, building over time.
STAGE 01
Stabilization
Months 1 to 3. Sprint cadence established, citation baseline set, initial content engineering deployed, entity authority work initiated.
STAGE 02
Advancement
Months 4 to 9. Gains visible in citation tracking, entity authority starting to resolve, content extractability improving, quarterly re-audit confirms band movement.
STAGE 03
Defense
Months 10+. You're in Agent-Friendly or Agent-Native. The work shifts to maintaining position against competitive pressure and capturing new agent surfaces as they launch.
Engagement
Transparent, monthly, partner-led.
Billing
Monthly in advance. Scope and tier walked through during your consultation.
Minimum
90 days. Quarterly auto-renewal. 30-day exit notice after minimum.
Tier changes
Quarterly review. Range depends on site complexity, number of MAGNET dimensions in active scope, and citation monitoring breadth.
The same partner who scopes the retainer runs it scope-to-exit.
Scope your retainerFAQ
Common questions.
For Frictional and Dark Site bands, yes, the retainer assumes a functioning foundation. For Agent-Friendly and Agent-Native bands, the retainer is the appropriate entry point. Discuss at scoping.
Implementation closes a backlog. The retainer is ongoing: monthly optimization sprints, AI citation monitoring, content engineering for agent answers, quarterly re-audits, and long-cycle entity authority work. Implementation is a project; the retainer is a practice.
Via the quarterly MAGNET re-audit, citation tracking across ChatGPT/Perplexity/Claude/Gemini, and a maintained backlog. Every monthly report includes: sprint output, citation movement, next-quarter priorities.
Tier changes happen at quarterly review points, not mid-quarter. If scope needs to change urgently, we discuss at the next monthly review.
Framework updates are adopted at the next quarterly re-audit cycle. Your score may shift; your backlog is updated accordingly. Changes to the framework don't break mid-cycle sprint commitments.
The same partner who scoped and (if applicable) ran the implementation. Partner-to-partner continuity is written into every retainer.
We track your brand mentions across ChatGPT (search mode), Perplexity, Claude, and Gemini for a defined query set established at scoping. Monthly report includes citation count, sentiment classification, and comparison against your named competitors.
Book a consultation. We review your current MAGNET band and confirm whether the retainer is the right next step. If so, an engagement letter is issued, monthly billing begins at the start of the first sprint, and the 90-day minimum runs from there.
Hold the Advantage
Treat agent-readiness as a defensible advantage.
90-day minimum. The same partner scope-to-exit.