Your data, expert insight, and the vivid story they tell together.

The story of your search performance lives in how your data moves.

Impressions, rankings, clicks, and citations shift week to week, and those shifts show what a single number hides: how your brand appears and gets chosen across every organic surface, from classic search to the map pack to AI answers. Read the movement closely and it points to where demand is heading, which content earns trust, and where you lose the click.

Reading that movement is my craft. Fourteen years of pattern-matching let me look at a shift and explain what drives it, then hand your SEO and marketing teams recommendations they can run this week.

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Local Listing Intelligence

A health-check on how your multi-location business appears in the map pack, listing by listing. It brings together review volume, photo counts, GBP signals, and six core ranking factors into one view of where local demand gets won.

Benchmarks every location on ratings, review volume, photos, and category accuracy, so a network average stops hiding a struggling store
Sorts listings into performance tiers and flags which ones to triage first, straight from the real data
Reports at the single-location level or rolls up to the whole network, and filters or groups listings however your team reads them best
Repeats monthly, turning a one-time audit into an ongoing visibility monitor

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AI Visibility Audit

Where your brand stands inside AI answers, measured across seven model families and anchored in the topics and personas your customers use to ask. It reads visibility the way buyers experience it, then scores whether that presence earns the mention and the click.

Grounds every prompt in a real buyer persona and topic cluster, tying visibility to the moments in the journey where AI answers steer the decision
Scores presence on five KPIs: prompt coverage, share of mentions, comparative win rate, linked-citation rate, and the community signals behind them
A persona-by-competitor heatmap shows the exact questions where a rival wins the mention
Traces the sources AI cites next to your brand, so each gap becomes a specific content, PR, or community move

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Semantic Content Audit

A meaning-level audit of an entire content library. Every page gets embedded and clustered by what it actually means, then measured against search performance to show where content overlaps, competes, and underperforms. The audit turns a sprawling library into a clear plan for what to keep, refresh, consolidate, prune, and build.

Maps the full library by semantic meaning, so overlap, cannibalization, and thin pages surface at the topic level instead of one page at a time
Layers in search and engagement data to separate the content earning trust from the content weighing the site down
Scores each topic for AI citation-readiness, showing where the library is positioned to be quoted in answer engines
Ends in a prioritized action plan: refresh, consolidate, prune, or build, each move ranked by effort and projected impact

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Holistic Organic Performance Review

A scrollable quarterly story that reads organic performance across the whole spectrum: search, local, and website together. It follows the organic KPIs that explain how visibility turns into traffic for a 38-branch network, and tells the team what the movement means.

Connects 8.57M search impressions, 252K organic sessions, and 263K local impressions into one throughline
Ties that visibility to the outcomes leadership cares about: 35K calls and directions
Breaks performance down by region and branch, so the story stays specific to each of the 38 locations
Guides the reader section by section, teaching as it reports so every stakeholder follows the why

Want to see your data tell a story like this?

Tell me what you're working on and I'll show you what a tailored version, built on your numbers and your market, would look like.

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