Technical audit
Full-scope crawl, Google Search Console (GSC) analysis, schema review, and AI visibility baseline. You see every finding before strategy starts.
The audit is the proposal. No discovery call disguised as a sales pitch. The first deliverable is a document, not a deck. It covers four layers:
- Crawl. Every URL on your domain inventoried, indexation status checked, redirect chains flagged, orphaned pages identified.
- GSC. Twelve months of clicks, impressions, position, and CTR by URL and query, with cannibalization patterns surfaced.
- Schema. Every structured data block on the site validated against current Google and AI engine requirements. Inventory schema, location schema, FAQ, organization, review.
- AI visibility baseline. Citation snapshot across ChatGPT, Perplexity, Gemini, and Google AI Overviews on the queries that matter for your group.
Every finding is scored by severity and commercial impact. The audit ends with a prioritized list of what to fix and what to leave alone, in order.
Strategy build
A prioritized roadmap based on severity, commercial impact, and what your competitors are actually doing. Built from your audit, not a template.
The strategy answers three questions explicitly:
- What ships first, and why. The first ninety days of action items, sequenced so technical fixes unblock content work and content work earns the queries your competitors actually contest.
- What waits, and what has to clear before it moves. The audit will surface findings that are real but not worth fixing this quarter.
- How the work gets measured. Tracked outcomes, mapped to GSC and AI-citation data, reviewed monthly. Outcomes are expected and targeted, never guaranteed.
Execution
Content production, technical fixes, schema deployment, and AI-search optimization. Same operator, strategy and execution. The person who wrote the audit is the person doing the work.
What that looks like in practice:
- Content actions allocated each month from your GSC data, not from a preset calendar. Six to twenty actions per month depending on tier and what the market demands.
- Technical fixes scheduled against the audit's severity ranking. The blocker that holds back three other things gets fixed first.
- Schema deployment validated against current AI engine consumption patterns, not stale 2020 guidance.
- AI-search optimization on the entities and queries the competitive analysis flagged as winnable.
No account manager between you and the work. Questions about execution are answered by the person doing the execution.
Compounding
Monthly GSC reviews, quarterly business reviews, continuous AI visibility monitoring. Every month builds on the last.
The work compounds because the foundation is shared across workstreams. Schema deployed this month makes next month's content cite-able by AI engines. When cannibalization gets addressed this quarter, the new content built on top of it earns queries instead of splitting them. Competitive analysis run quarterly catches new threats before they become entrenched.
The monthly cadence:
- GSC review. What moved, what did not, what the data says to do next.
- AI citation monitoring. Where your group is being cited, where competitors took share, what the engines are surfacing for buyers in your market.
- Action allocation for the next month. Built from the data, not from a preset calendar.
The quarterly cadence adds a business review against the original strategy. What worked, what changed in the market, what the next quarter looks like.