Marketing Engineering AgencyBuild a Growth System That Learns What Works
Webvy connects AI search, paid acquisition, conversion and revenue data into one system, then uses supervised AI agents and real experiments to show where your next marketing dollar should go.
- AI Search
- Paid Acquisition
- Supervised AI Agents
- Revenue-Linked Measurement
The growth gap
Why companies hire a marketing engineering agency
Plenty of Marketing Data. Very Little of It Connected to Revenue.
- Every platform reports its own version of success. Search tools show rankings and citations, ad accounts show conversions, analytics shows sessions and the CRM shows deals. Few companies can bring those views together to answer the question that matters most: which channels bring customers who pay, stay and expand?
- Without that answer, the budget follows whatever is easiest to measure. Channels that produce cheap leads look strong. Channels that quietly influence high-value buyers look weak. Meanwhile, AI search, paid media and conversion work keep optimizing toward different goals.
- A new tool or an AI agent won't fix this on its own. Someone still has to connect the data, decide what each tool should do and check that the output holds up. That's what Webvy's team does. We set up the right tools and AI agents, build the workflows around your data, and work alongside your team to keep them useful as your growth priorities change.
What Webvy does
What a marketing engineering agency does
A marketing engineering agency combines marketing strategy with data, software, AI agents and experimentation to improve how a company acquires, converts and keeps customers. A marketing engineer is the marketer-builder behind that work: part strategist, part technical operator, judged on business results.
Webvy works across the full funnel, from the first AI search answer a buyer sees to the revenue that customer generates months later. We find the opportunities worth testing, build what it takes to act on them, and measure the results against pipeline, revenue and retention. People approve every decision that matters.
Where the work happens
- AI Search: ChatGPT, AI Mode
- Google Search
- Google Ads and ChatGPT Ads
- Landing pages and onboarding
- CRM and lifecycle marketing
- Analytics and revenue data
What Webvy builds
Six workflows that turn intelligence into action
Webvy builds workflows around specific commercial problems, each with clear inputs, a useful output and a person who approves what ships. Most engagements start with two or three and add more when the results justify it.
AI Search Opportunity
Tracks the commercial prompts your buyers use, shows where competitors get cited instead of you, and turns each gap into a prioritized page or source fix.
- In
- prompt tracking, citations, competitor visibility.
- Out
- ranked GEO and AEO actions.
Customer Quality
Joins each acquisition source with CRM stage and revenue, so you can see which channels bring buyers worth keeping and which only bring volume.
- In
- source data, CRM stages, revenue.
- Out
- a channel and segment scorecard.
Paid Acquisition Learning
Connects campaign performance with downstream conversion and CRM outcomes, so paid acquisition decisions can move beyond clicks and basic form fills.
- In
- campaign data, search terms, conversion events, CRM outcomes.
- Out
- targeting, creative and landing-page experiments.
Customer Language
Pulls the exact words buyers use from sales calls, reviews and support tickets, then flags the objections and triggers that keep coming up.
- In
- calls, reviews, tickets.
- Out
- verified messaging for pages, ads and AI search content.
Conversion Intelligence
Combines page behavior with real customer objections to decide what to test on landing pages and onboarding, instead of following a generic CRO checklist.
- In
- page analytics, funnel data, objections.
- Out
- prioritized experiment briefs.
Experiment Review
Reviews every running test against its success criteria and its cost, so nothing keeps running just because nobody stopped it.
- In
- test results, costs, CRM outcomes.
- Out
- a call on each test: scale, improve, investigate or stop.
The Growth Brain
We Build a Growth Brain for Your Brand
AI agents are only as useful as the context behind them. So before anything gets automated, Webvy’s team builds a Growth Brain for your company: a structured knowledge base holding what you know about your customers and market, and what your results have taught you.
It belongs to your brand and stays with you after the engagement. Each agent we set up reads only the parts relevant to its task.
- 01
Market intelligence
We gather the evidence your growth decisions should rest on: customer research, competitor positioning, search and AI search demand, and your own business data.
- 02
Growth Brain
We organize that evidence into verified knowledge, open hypotheses and documented decisions, so your team and your agents work from the same facts.
- 03
Acquisition, conversion and analytics agents
We set up agents for specific jobs, each with clear permissions and a person who reviews what it produces.
- 04
Experiments and revenue results
We test ideas against real outcomes. What proves true goes back into the Growth Brain, so it gets more useful with every round.
What proves true goes back into the Growth Brain
The process
Webvy's Marketing Engineering Process
We start with the business constraint, not with an AI tool. Every engagement moves through three stages with clear outputs, so you always know what has been built and what it is for.
Diagnose
We map how customers find you, evaluate you, convert and pay. That can cover AI search visibility, SEO, paid campaigns, conversion paths, CRM data and revenue tracking. The result is one clear bottleneck, the data gaps around it, and a short list of experiments worth running first.
Engineer
We build what that bottleneck needs: tracking, the Growth Brain, the relevant workflows, landing pages or campaign infrastructure. Each workflow gets defined permissions and a human approval step wherever it touches budget, customers or public claims.
Experiment and Refine
We run each opportunity as a test with a hypothesis, a target segment, a success metric and a stopping rule. Results decide what happens next: scale it, improve it, investigate it or stop it. What we learn goes back into the Growth Brain for the next round.
What you receive
Every engagement starts with a Growth Systems Audit. We review how customers discover, evaluate and buy from you, find where the system leaks, and check which data you already have to fix it.
From there, we scope only the deliverables your bottleneck needs.
Working systems tied to the growth problem you actually have.
- Growth Systems Audit, showing the main bottleneck, the data gaps around it and the first experiments worth running
- Customer and market intelligence, covering segments, buying triggers, objections, competitors and search demand
- Growth Brain setup, holding verified company knowledge, business rules and experiment history in accounts you own
- Supervised AI workflows, built from the six workflow types above with defined permissions and approval steps
- Acquisition and conversion assets, including GEO and AEO pages, paid campaign structures, landing pages and onboarding tests
- Measurement architecture, linking acquisition sources to CRM outcomes and revenue wherever your platforms allow it
- Experiment roadmap and documentation, so your team knows what was tested, what worked and how to run the system
Want to see where your growth system leaks?
Get a Growth Systems AuditThe progress
How we measure progress
Traffic, rankings, AI visibility and lead volume all matter, but none of them is a business result on its own. Webvy measures further down the customer journey, and we are honest about what the data can and can't prove. Attribution shows which touchpoints came before a sale. Where the volume allows it, controlled tests and holdouts show whether a change actually caused the lift.
Qualified pipeline by channel, not just lead count
Customer acquisition cost and CAC payback for each acquisition source
Lead-to-customer and trial-to-paid conversion across the funnel
Revenue and retention by channel and segment, where data volume supports it
AI search visibility and citations tied to the commercial prompts that matter
Experiment results with clear calls: scale, improve, investigate or stop
Workflow reliability and running cost, so automation earns its place
A growing record of verified learning your team can build on
Why Webvy
Webvy is built for growth that has to prove itself.
We started in AI search, where buyers now compare options before they ever reach a website. Marketing engineering connects that visibility to everything that happens next: the ad they click, the page they read, the deal they close and whether they stay.
- AI search at the core
GEO and AEO are where Webvy started, so AI visibility is wired into the system from day one instead of bolted on later.
- Intelligence before automation
We only automate a process when customer evidence and commercial priorities say it is worth automating.
- People make the calls
Agents research, analyze and draft. Budgets, public claims and strategic decisions stay with named people.
Built for
Marketing engineering works best for companies with a real product, active acquisition and a team ready to act on what the data shows.
Early-Stage Startups
You have early traction, but you’re still learning which channels and customers are worth doubling down on. We help you set up clean tracking, talk to the right customers and run fast, focused experiments, without building a marketing stack you don’t need yet. At this stage, clear signals matter more than complex attribution.
Fintech Companies
In fintech, trust decides who gets the customer. Buyers check what AI search says about you, compare providers carefully and drop off quickly if onboarding feels uncertain. We connect your AI search visibility, paid acquisition, conversion and CRM data, so you can see which channels bring customers who actually complete onboarding and stay active.
SaaS & B2B Companies
Your buyers research across Google and AI search, click ads, talk to sales and trial the product before they commit. We help you connect those touchpoints to pipeline and recurring revenue, so you can see which segments, channels and messages deserve more investment and which ones are only adding volume.
Marketing Engineering Agency FAQs
What does a marketing engineering agency do?
A marketing engineering agency combines marketing strategy with data, software, AI agents and experimentation. It builds systems that connect customer intelligence with acquisition, conversion and measurement, so marketing decisions improve based on real business results instead of channel reports alone.
What does a marketing engineer do?
A marketing engineer is a marketer who builds. They research customers and markets, connect data sources, set up AI agents and automations, and turn marketing ideas into measurable experiments. The role often grows out of SEO, demand generation or growth marketing.
Should we hire a marketing engineer or work with an agency?
An agency usually makes sense when you need the first systems built quickly and aren't sure yet what the permanent role looks like. An in-house hire makes sense once those systems exist and need daily care. Many companies do both: Webvy builds and documents the system, then hands it to an internal owner.
How is marketing engineering different from GTM engineering?
GTM engineering usually focuses on outbound pipeline: lead lists, enrichment, buying signals and sequences. Marketing engineering covers the wider marketing system, including AI search, paid acquisition, landing pages, conversion and revenue measurement. Webvy works across that wider system.
What is a Growth Brain?
A Growth Brain is a company-specific knowledge base Webvy’s team builds for your brand, covering customer knowledge, market research, search data, experiment history and business results. It gives approved AI workflows the context they need and preserves what your company learns over time.
Can Webvy connect GEO and AEO with revenue?
Yes, where the tracking data exists. We look at AI search visibility alongside referral traffic, assisted journeys and CRM outcomes. Visibility alone is never treated as proof of revenue impact, so we report what the data shows and flag what it can't prove.
Does Webvy manage Google Ads and ChatGPT Ads?
Paid acquisition can be part of the engagement when it supports the growth plan. We connect campaign data with customer intelligence, landing page tests and CRM outcomes so campaigns optimize toward real customers.
Can Webvy work with our existing CRM and marketing stack?
Usually, yes. We review your current tools, APIs, data quality and permissions before recommending anything. The goal is to connect what already works, not to replace software without a commercial reason.
Who owns the systems and data Webvy builds?
You do. Client data stays under your control, and ownership of workflows, code, integrations and third-party accounts is agreed in writing before we build anything.
How long does it take to see results?
The Growth Systems Audit gives you a prioritized roadmap within the first few weeks. The first workflows and experiments usually follow soon after. How fast results show up depends on your data, traffic volume and sales cycle, so we set milestones per engagement rather than promise a fixed date.
How much does marketing engineering cost?
Pricing depends on the complexity of the growth problem and the systems required to solve it. A Growth Systems Audit is scoped as a fixed project, while ongoing engagements are priced around the workflows, channels, integrations, and experimentation needed to improve performance.
Related services
Start with a Growth Systems Audit.
We review how customers discover, evaluate and buy from you, find where the system leaks, and show you the first experiments worth running.
Book a Growth Systems Audit