Search strategy
Technical SEO, keyword research, competitor analysis, site architecture and on-page optimization.
Full-stack digital marketing
We’ll start by getting to understand your business. What are the outcomes you want? How are you currently measuring success? What does your current marketing stack look like?
Tell me what is working and not working01 · Visibility and acquisition
Traffic is only useful when it comes from the right people, reaches the right pages and supports a meaningful next action.
What may be happening
Technical SEO, keyword research, competitor analysis, site architecture and on-page optimization.
Topic clusters, content briefs, blog packages, content refreshes and internal linking.
AI visibility baselines, prompt tracking, citation analysis and answer-ready content.
Google Ads, Microsoft Ads, LinkedIn or Meta campaign setup, tracking and optimization.
Original research, data-led stories, outreach strategy and link-earning campaigns.
Review of search visibility across Amazon, Walmart and other relevant platforms.
02 · Audience intelligence
Useful audience research connects real behavior and language to decisions about channels, content and conversion paths.
Questions we can answer
First-party analytics, CRM data, Reddit, SparkToro, social data and customer research.
SERP research, query analysis, intent classification and competitor content gaps.
Need states, discovery paths, evaluation behavior, barriers and conversion moments.
Evidence-based groups organized around behavior and intent rather than fictional personas.
Recurring language, pain points, desired outcomes, objections and channel preferences.
A practical map connecting audience findings to content, campaigns and measurement.
03 · Analytics and measurement
Reporting should explain what changed, why it matters and what to do next—not simply export platform metrics.
What may be missing
KPI frameworks, event taxonomies and clear definitions for success.
Setup, repair, custom events, conversions, engagement tiers and implementation QA.
Configuration, query reporting, page analysis and long-term data preservation.
Looker Studio or platform reporting organized around decisions and outcomes.
Channel contribution, assisted conversion analysis and performance benchmarks.
Repeatable analysis, period comparisons, signals, charts and executive briefs.
04 · Website and conversion
A website needs to answer the right questions, establish trust and make the next action feel obvious—while measuring whether that actually happens.
What may be getting in the way
Page hierarchy, user pathways, trust signals, forms and conversion barriers.
Search-aligned content, structure, calls to action and campaign measurement.
Planning, wireframes, WordPress implementation and launch support.
Sitemaps, navigation, page purpose, internal linking and scalable templates.
Forms, buttons, videos, downloads and meaningful engagement behavior.
Prioritized hypotheses tied to a clear measurement plan.
05 · Launch and migration
Redesigns, platform changes and domain migrations can create growth—or quietly erase years of search visibility and measurement history.
What needs protection
Organic performance, rankings, priority pages, conversions and technical health.
URL inventory, page mapping, redirect rules and lost-page prevention.
Crawls, metadata, canonicals, sitemaps, robots directives and structured data.
GA4, GTM, forms, conversions, consent and campaign tracking validation.
Redirect testing, crawl checks, indexation signals and critical-path review.
Traffic, rankings, errors and conversion comparisons during the recovery period.
06 · AI visibility audit
AI assistants and generative search experiences are changing how people discover, compare and evaluate businesses. An AI Visibility Audit establishes where your brand appears, what sources shape those answers and where meaningful opportunities exist.
What the audit examines
Establish how frequently and prominently your brand appears across a defined set of commercially relevant prompts.
Compare brand mentions, positioning, recommendations and citation patterns against key competitors.
Identify the domains and individual pages influencing AI-generated answers within your priority topics.
Evaluate topical coverage, answer clarity, entity signals, original evidence and opportunities to strengthen existing content.
Review indexing, structured data, crawler directives and potential server or CDN restrictions affecting AI systems.
Define prompt tracking, AI referral traffic, assisted conversions and a repeatable reporting cadence.
Not sure where to begin?
We can start with what you are seeing, identify the likely constraint and define the smallest useful first project.
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