VIVI Forward Deployed Engineering
From GEO tracking to improvement, right inside your workflow.
VIVI connects its AI search monitoring data and execution engine directly to the way your teams already work. VIVI engineers stay with you from diagnosis through integration to measured results.
Why AX
Seeing the numbers is solved. Acting on them is where it stalls
From reading a metric to fixing a page to checking the effect, the work still moves between teams by hand.
The team that sees is not the team that fixes
Marketing owns the metrics; web, content and commerce teams own the pages. A shared dashboard does not hand the work over.
Every company runs different systems
CMS, storefront, BI and messenger differ from company to company. One standard screen does not fit them all.
Measurement breaks off
It is hard to line up when a change shipped with how the numbers moved, so nobody can tell what actually worked.
Why FDE
VIVI engineers work inside your team
Forward Deployed Engineering means our engineers bring VIVI into your organisation and work on site.
It does not end with a consulting report. What stays behind are integrations and agents that keep running on the systems you already use.
- 01DiagnoseMap your AI search position, systems and team structure
- 02ConnectWire the VIVI API and agents into your workflow
- 03ProveConfirm results through before-and-after citation and share
- 04Hand overHand operations to your team so they can run it themselves
How it works
VIVI slots in as one layer across your existing stack
Four agents take on the repeated judgement and execution, connected straight to the platforms you already use.
The Kick-off
Diagnose, deploy, prove, run. Four stages
From diagnosis to hand-over, we agree up front what each stage does and what it leaves behind.
8 wks
Pilot length
Prove one agent on live data
1 + 1
Brand and market
Start with one brand in one market
Before / After
Deliverable
Measurement report before and after
When the Prove stage ends, we review the results together against the success metrics we agreed, and decide whether to move on to Run.
Discover 2 wksDiagnose
- Baseline and competitive share
- Map your system structure
- Agree success metrics
Deploy 4-6 wksDeploy
- Build monitoring topics and prompt sets
- Connect agents
- Set up the approval flow
Prove 4 wksProve
- Ship revisions, measure at the next collection
- Citation rate before / after
- Weekly review and adjustment
Checkpoint: review results against agreed metrics
Run QuarterlyRun
- Hand operations to your team
- Quarterly performance review
- Expand to more brands and markets
Packages
Three ways to start, sized to your scope
Each package includes everything in the one before it. Scope can be adjusted to the diagnosis.
- Brands, markets
- 1 brand, 1 market
- Agents
- 1 (up to draft)
- Monitoring prompt set
- 1 set of topics and prompts
- API access
- Read
- Your system integrations
- None (read-only)
- Delivery channels
- AI chat, reports
- Security, data
- Standard data isolation
- Support
- Weekly review
- Deliverables
- Before/After measurement report
Metrics
How we judge results
Agreed with you before we start, and compared with the baseline from the diagnosis.
- 01
Answer presence
Share of AI answers to target prompts that mention your brand
- 02
Citation rate
Share of AI answers that cite your pages as a source
- 03
Share of voice
Your brand’s share of answers against competitors
- 04
AI traffic
Visits from AI answers to your site, and what those visitors do next
Broken down by AI engine (ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overview, Naver AI Briefing) and compared with competitors on the same basis.
Built on VIVI
Starting on top of your own workflow
This is not a system built from scratch. We connect the data VIVI collects and analyses every day, and its execution engine, to your workflow.
- ChatGPT
- Gemini
- Perplexity
- Google AI Mode
- Google AI Overview
- Naver AI Briefing
Collect
Six AI engines, every day
Answers from six AI engines are collected and aggregated daily.
Query
Ask from your AI chat
Look up metrics, citations and keyword demand straight from the AI chat you already use.
Execute
Execution engine
GEO Page Optimizer, PDP Converter and Tech Audit handle page revisions, product page conversion and technical checks.
Use cases
Losing on "comparison" prompts, fixed through to publishing and leads
- 01 VIVIMonitoring agentDetects a citation drop on "alternatives to X" prompts
- 02 SlackMorning briefShares the prompts and competing cited pages in the team channel
- 03 VIVIContent agentDrafts a revised comparison page in your site’s design
- 04 AEMApproval workflowThe draft enters the AEM workflow and the owner publishes
- 05 PardotLead attributionTags AI-sourced leads "AI Search" and tracks them to opportunity
ResultSee the pipeline AI search created, right in your Salesforce reports.
FAQ
Frequently asked questions
Q.Can we adjust the scope?
The package scope is a starting point. In the diagnostic meeting we review your team and priorities, then agree on which platforms, agents and operations to include.
Q.Could our data mix with other customers’ data?
Data is separated by brand. It never mixes with other customers’ data.
Q.Could an agent change our site or systems on its own?
Every write an agent makes waits as a draft and only goes live once your owner approves it. Writes use each platform’s own draft and approval features.
Q.How is access to our systems managed?
Credentials are stored separately per customer, and we only take the permissions needed to write drafts. Your existing account permissions stay as they are.
Q.Can we see who changed what?
Who changed what and when, and which features were used how much, are all logged and shared with you.
Q.Can you connect a platform that is not on the list?
Yes. For platforms not listed, we map your system structure during diagnosis and agree the scope of integration.
Q.Can we start without a website?
Yes. We choose a platform that fits your goals and team, then build the site with a structure ready for AI search.
Q.Can our team run it ourselves after the project?
In the Run stage we hand operations over to your team. The Deploy package includes a runbook and the hand-over as deliverables.
Prove it first with an 8-week Pilot
We start by showing you where you stand in AI search and how you compare with competitors. It begins with a diagnostic meeting, a baseline measurement and a confirmed scope, and brings the experience we have built with clients across many industries.
