At enterprise scale, AI visibility isn’t a project — it’s a measurement gap. Your flagship product might own the conversation in NA while your strategic bet is invisible in EMEA, and your challenger SKU is being displaced in APAC.Without infrastructure, none of that is observable. You’re operating on assumption, not signal.
Currently tracking · 6 AI models · refreshed daily
ChatGPT
Claude
Perplexity
Gemini
Grok
AI Overviews
Every prompt in your category, scored every day across all six.
a CIO at a Fortune 1000, an hour ago
best CRM platform for a 5,000-person enterprise with global ops?
ChatGPT recommends
Salesforce Enterprise Cloud
most-deployed enterprise CRM
Microsoft Dynamics 365
native Office + Azure integration
Oracle CX Cloud
strongest in regulated industries
Your portfolio
not in this answer · same result on every model
ChatGPT · Perplexity · Claude · Grok · Gemini AI Overviews · same buyer, five answers, zero of you
Why this is different at scale
Single-product brands can sort their AI visibility with a focused 90-day push. You can’t. Every product has its own competitive set. Every market has its own information sources. The work doesn’t transfer cleanly between them.
You need infrastructure, not a project. A persistent measurement layer, a portfolio-level strategy, and a team with bandwidth to ship coordinated work across product and region.
The portfolio view, instrumented
Most enterprise teams have zero. The first quarter of work is just being able to see this matrix.
After that, you can finally answer: which product is winning, which is bleeding, and where to allocate next.
The engagement, end to end
A persistent dashboard tracking every product × market combination, daily, across all six AI models. Custom KPIs per product. API access for your BI tools. Slack alerts wired to your channels.
Live in 30 daysWe work with your leadership to score every product × region combination by strategic priority × visibility gap × addressable revenue. The output is a quarterly roadmap that allocates work where it pays back hardest.
Quarterly C-suite reviewWe don’t parachute into one product — we sit across all of them. Citation work, content production, technical AEO, and PR all coordinated so moves on one product compound moves on another. Shared infrastructure, separate execution.
Dedicated senior strategist + podWhen a major competitor surges, when an AI model rolls out a feature that changes the surface, when one of your products gets demoted — we respond in days, not quarters. White-glove crisis ops baked in.
48-hour response SLAEngagement structure
Engagements start at a four-quarter commitment with quarterly checkpoints — unlike standard retainers, which go month-to-month after Q1. Pricing is custom, typically starting at $20,000/month for a 3-product, 3-region scope, scoped further based on product count and baseline visibility.
All engagements include a dedicated senior strategist, an analyst pod, custom dashboard access for internal teams, quarterly executive briefings, and direct Slack / Teams integration.
Engagements scale with portfolio breadth — sized to match the number of products, markets, and stakeholders you’re instrumenting.
Engagement starts with
Honest fit check
If three or fewer of these apply, enterprise probably isn’t the right shape. Look at the standard Retainer in Services — it’s built for single-product brands and will likely fit better.
The executive briefing
We run a sample portfolio audit on your top 2 products before the briefing, so the conversation starts with data — not slides.