Every signAI engagement follows the same four-phase methodology — built to deliver compounding results across traditional and AI search simultaneously, with no guesswork and no black boxes.
Most agencies front-load their value and coast. Our process is designed to compound: each phase builds directly on the last, and the results of month 12 are structurally larger than those of month 1 — because the authority, content, and infrastructure we build accumulates over time rather than resetting.
We begin every engagement with a Technical Audit because we don't build on shaky foundations. We insist on understanding the full landscape before recommending a single tactic. And we measure everything — so you always know exactly what's working and why.
Timelines vary by scope, but the sequence never does. Here's what each phase looks like, and what you walk away with.
Before we recommend a single tactic, we need to understand your full search landscape — technical health, current authority, competitive positioning, and AI citation coverage. The Discovery phase gives us the data to make decisions that are right for your specific situation, not generic best practices.
200+ technical checks covering crawlability, structured data, Core Web Vitals, JavaScript rendering, and AI bot accessibility. Every issue documented and prioritised.
We query 12+ AI engines with 200+ prompts from your category — mapping exactly who's being cited, how often, and why. Your competitive GEO gap analysis.
Full assessment of your current organic rankings, topical coverage gaps, and the content delta between you and the category authority leaders.
We audit your GA4 setup, conversion tracking, and attribution model — identifying data gaps that would undermine our ability to measure results accurately.
Armed with audit data, we build your full strategy: the content architecture, entity authority plan, technical fix roadmap, and measurement infrastructure. You receive a complete strategic document — not a slide deck of vague recommendations, but a specific plan with prioritised actions, timelines, and expected outcomes.
Pillar pages, cluster topics, and internal linking architecture — mapped against your business priorities and designed to maximise topical authority signal flow.
Your entity authority roadmap: Wikidata setup, structured data specifications, target publication strategy, and the content formats we'll engineer for AI citability.
Dev-ready tickets for every audit finding, prioritised by impact and effort. Your engineering team can begin implementation immediately without additional briefing.
Analytics rebuild specifications, attribution model design, and AI citation tracking setup — the data infrastructure every future decision is built on.
This is where the strategy becomes reality. Our writers, technical SEOs, and GEO engineers implement the plan in parallel — content production, technical fixes, structured data deployment, authority building, and measurement setup all proceed simultaneously, accelerating the timeline to first results.
Expert-authored pillar pages and cluster content, engineered for both topical authority and AI citability — with full editorial review and subject-matter expert input where required.
Schema markup deployment, crawl issue resolution, page speed optimisation, and AI bot access configuration — working directly with your engineering team or handling it ourselves.
Entity establishment across Wikidata and industry databases, targeted PR placements on high-authority publications, and link acquisition from topically relevant sources.
GA4 rebuild, custom attribution model implementation, AI citation monitoring setup, and Looker Studio dashboard build — your live measurement infrastructure goes live.
Search authority compounds. Phase 4 is the ongoing engine of growth — monthly content expansion, systematic prompt testing against your AI presence, performance analysis, and continuous iteration. This is where the compounding begins, and where most of the long-term value of an engagement is created.
New cluster topics, refreshed pillar pages, and gap-filling content — systematically expanding your topical authority footprint based on performance data and competitive movement.
Monthly prompt testing across all major AI engines, content refinement based on citation data, and ongoing entity authority building — compounding your GEO presence over time.
Monthly senior-strategist-led reviews covering all channel performance, what's working, what's not, and what we're doing about it — with full data access and clear recommendations.
AI search is evolving rapidly. We update your strategy as the landscape changes — ensuring your approach stays ahead of algorithm shifts, new AI engines, and competitive moves.
We offer three engagement structures depending on your situation, goals, and how much you want us involved in ongoing execution.
We handle everything: strategy, content production, technical implementation, authority building, analytics, and monthly performance reviews. You get a dedicated senior team and complete execution — your only job is to review and approve.
Best for: Brands that want results without building an internal team. Typical minimum: $8,000/month.
We handle strategy, audits, architecture, and monthly direction-setting. Your team or an existing agency handles execution under our strategic oversight. We review all deliverables and maintain quality control.
Best for: Brands with existing marketing teams who need senior AI search expertise added. Typical minimum: $4,000/month.
A defined-scope engagement for a specific deliverable: a Technical AI Readiness Audit, a GEO strategy document, an analytics rebuild, or a content architecture blueprint. Fixed scope, fixed fee, clear deliverable.
Best for: Brands that need a specific problem solved before committing to a retainer. Projects from $5,000.
Technical audit delivered, LLM citation landscape mapped, content architecture designed, analytics rebuilt, and the full strategic plan documented and approved.
Initial content published, technical fixes implemented, authority building underway. First AI citation appearances begin. Initial ranking improvements for cluster content start to emerge.
Topical authority measurably established. Consistent AI citation coverage across target queries. Organic traffic growing. The compounding effect of early work begins to accelerate results.
You'll always know exactly what we're doing, why we're doing it, and whether it's working. Here's how we communicate across an engagement.
From day one, you have real-time access to your performance dashboards — organic traffic, AI citation rates, ranking movements, and paid search metrics. No waiting for monthly reports to see how things are going.
Every week we send a brief update: what we shipped, what we're working on, and anything that needs your attention. Short, specific, and actionable — not a wall of metrics you have to decode yourself.
A 60-minute session every month with your senior strategist — covering full performance review, strategy adjustments, and clear priorities for the month ahead. This is where we make the important decisions together.
Every strategy, content brief, and implementation plan is documented in a shared workspace. You can see — and question — every decision we make, not just the final output.
You work with senior people, not account managers. Your strategist's direct contact is available for questions between scheduled calls. We respond to Slack or email messages same business day.
Every quarter, we zoom out — reviewing progress against the strategic plan, adjusting direction based on what we've learned, and setting priorities for the next three months.