Enterprise AI Search Optimization.
Every location. Every assistant. One system.
Enterprise AI search optimization is generative and answer engine optimization run across many locations, brands or product lines under one governance model, so every market is findable in AI assistants without a hundred versions of the truth. It combines a single entity graph for the parent brand and each location, templated but genuinely local answer content, structured-data rollout at scale, and reporting that works for corporate and for the operator in the field. Bonsai Marketing runs it for multi-location, franchise and national brands across the United States.
The case for
getting this right.
At scale the biggest AI-search problem is not content, it is identity. Fifty locations with slightly different names, phone formats and service lists teach the models that you are fifty small businesses, not one brand with fifty doors.
Templated location pages that all say the same thing get summarized once and ignored. Location pages with real local answers, reviews and specifics get quoted for their own market.
Corporate and local operators need different views of the same truth. Without a governance model, the local team fixes what corporate then overwrites, and neither side can see whether AI visibility is moving.
What ships.
No scope drift.
Activity is easy.
Outcomes count.
- → AI visibility score by market and roll-up
- → Entity consistency: how many locations the models resolve correctly
- → Local rankings and map-pack positions by market
- → Calls, forms and bookings by location, attributed to organic and AI
Measured on the BonsaiX platform and reported monthly. Results vary by starting position, competition and how quickly decisions get made.
Four phases.
No mystery.
Entity audit
Every location, profile and schema node reconciled against one canonical record. This alone usually fixes a share of the AI confusion.
Pilot markets
Three to five markets get the full GEO and AEO treatment first, so the template is proven on real results before rollout.
Rollout
Templates, schema and profiles deployed across the footprint in waves, with tracking turned on per market as it ships.
Governance and reporting
Monthly roll-up for corporate, per-market view for operators, quarterly executive review with Bryan Fikes.
Three ways
to work together.
Pilot
Fit You want the model proven on a handful of markets before committing the footprint.
- ✦ Entity audit
- ✦ 3 to 5 pilot markets, full treatment
- ✦ Per-market tracking
- ✦ Rollout plan and cost
Sixty to ninety days.
Rollout
Fit The pilot worked and you want the footprint covered.
- ✦ Everything in Pilot
- ✦ Wave-based rollout
- ✦ GBP at scale
- ✦ Corporate and operator reporting
Scoped by location count; typically two to four quarters.
Program
Fit Ongoing ownership of AI search and local visibility across the brand.
- ✦ Everything in Rollout
- ✦ Monthly optimization
- ✦ New-location onboarding
- ✦ Quarterly executive review
Annual program, reviewed quarterly.
Voice Bonsai — 150 DMA-targeted city pages plus vertical landing pages, built and ranked on this rollout model
See the full portfolio →
Questions,
answered honestly.
01 How many locations do you support? +
02 We have an in-house SEO team. Where do you fit? +
03 Do franchisees get their own reporting? +
04 Can this run on our existing CMS? +
05 Is this only for AI search, or does it include SEO? +
Start with the
assessment.
A research-backed read on your search, local and AI visibility before any work is proposed. You keep the findings whether or not you hire us.