Services
The work follows a single through-line: find out where you stand, understand why, and build the signals that move you into the recommendation moments you're missing.
Most engagements begin with the Diagnostic; a three-part investigation that establishes your current AI visibility position, surfaces exactly what the visible competitors are doing that you aren't, and delivers a prioritized roadmap for closing the gap. Clients who want ongoing execution continue into a retainer. Both paths are designed to compound. Each engagement builds directly on the last.
Contact to discuss scope + pricing. (Engagements typically begin with a diagnostic starting at $3,500)
AI Visibility Diagnostic
When customers ask AI for the best in your category, your competitors are being recommended.
The problem is rarely the product. It's that AI systems don't have enough clear, specific signals to recommend you with confidence — while your competitors do, whether they built them intentionally or not.
The Diagnostic shows you exactly where you're losing recommendation share, which competitors are capturing those moments instead, and what they're doing that you aren't. 30 day timeline, minimal engagement required.
Part one: AI Visibility Audit
I build a custom query set around the specific recommendation moments that matter to your business — the prompts your customers are actually using when they decide what to buy. Using a proprietary multi-LLM query engine, I run those prompts across AI platforms, mapping where your brand appears and where competitors are being recommended instead. You're benchmarked against the competitive set you care about so the findings are immediately actionable.
Part two: Competitive Content Analysis
I run a proprietary content analysis tool on your site and your two or three highest-visibility competitors. This is where the audit findings get explained. If a competitor is dominating private dining queries, this analysis shows exactly why — not in theory, but at the page level. Their page names rooms, capacities, menus, and contacts. Yours says "available for private events." That's the difference between being recommended and being ignored.
Part three: Recommendation Visibility Roadmap
The findings from both analyses feed into a prioritized action plan: the specific content and structural changes needed to move you from invisible to recommended. Sequenced by impact. Ready to implement.
Outcome: You'll leave knowing exactly where you're not being recommended, which competitors are taking those positions, and what needs to change to win them back.
Visibility Retainer (3-month minimum)
Structured execution against the highest-impact gaps from your Diagnostic. Each month builds the signals AI systems need to confidently include your brand in the recommendation moments you're currently missing.
Includes:
Two authority content pieces per month aligned to your highest-value recommendation moments, written in your voice and structured for AI interpretation
Four targeted Brand Selection Infrastructure actions per month — a mix of editorial pitches, retail and directory presence, review cultivation, and community signal work aligned to your highest-value recommendation clusters
Technical and structural improvements to how your brand is interpreted across platforms
Monthly visibility reporting and quarterly re-audit to track position gained
Outcome: Your brand moves into the recommendation moments identified in your Diagnostic, with progress tracked against your competitive set.
Displacement Retainer (6-month minimum)
Focused competitive movement. Where the Visibility Retainer builds your presence, the Displacement Retainer targets the recommendation positions your competitors currently hold and builds the signal infrastructure required to take them.
Work is structured around 30-day displacement cycles: identifying where competitors are consistently being recommended and systematically closing those gaps.
Includes:
Three authority or positioning assets per month aligned to high-value recommendation queries
Six targeted Brand Selection Infrastructure actions per month — a mix of editorial pitches, directory and retail platform presence, review cultivation, and community signal development
Competitive placement analysis with monthly movement reporting and quarterly re-audit
Ongoing Brand Selection Infrastructure development across editorial, community, and retail signals
In the Napa Valley audit, one of the region's most recognized wineries held 111 mentions on Perplexity and 2 on Claude — a single training-data shift away from near-total invisibility on one of the fastest-growing AI platforms. The Displacement Retainer includes quarterly cross-platform monitoring specifically to detect and close this exposure.
Outcome: Over six months, we target the recommendation moments your competitors currently own. Progress is tracked through re-audits and competitive movement reports so you can see exactly where you've gained ground.