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The document below is a redacted sample of the AI Visibility Strategy delivered at the end of every Diagnostic engagement — the same format, the same depth, with brand-specific details replaced with placeholders.
If you want to understand exactly what you'll receive before committing to an engagement, this is the clearest way to do that.
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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.
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.
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.
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.
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.
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
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. Every engagement builds directly on the last — the Retainer is designed to compound the Diagnostic findings into measurable position gained.
Includes each month
- Two authority content pieces aligned to your highest-value recommendation moments, written in your voice and structured for AI interpretation
- Four targeted Brand Selection Infrastructure actions — 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
Your brand moves into the recommendation moments identified in your Diagnostic, with progress tracked against your competitive set.
Displacement Retainer
Focused competitive movement. Where the Visibility Retainer builds your presence, the Displacement Retainer targets the recommendation positions your competitors currently hold.
Work is structured around 30-day displacement cycles: identifying where competitors are consistently being recommended and systematically closing those gaps. Each cycle targets a specific set of recommendation moments, builds the signal infrastructure required to compete for them, and tracks movement through re-audits.
Includes each month
- Three authority or positioning assets aligned to high-value recommendation queries
- Six targeted Brand Selection Infrastructure actions — 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
Over six months, we target the recommendation moments your competitors currently own. Progress tracked through re-audits and competitive movement reports so you can see exactly where you've gained ground.
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.
Not sure where to start?
Run a free audit first —
you'll have a scored report in under 2 minutes.
A clearer sense of where you currently stand before we talk.
Ready to see
where you stand?
Book a discovery call to discuss your category, your competitive set, and whether there's a fit. Engagements typically begin with the Diagnostic.