How marketgoo uses AI
We know all too well that “AI” is a buzzword being tossed around absolutely everywhere right now. And it’s treated as an item on a feature list instead of a strategic enabler of outcomes.
At marketgoo, we made a deliberate choice early on: AI would be incorporated if it made our products simpler to use and more effective for the SMBs and partners relying on us.
That meant anchoring our entire AI approach in three principles: simplify decisions, provide direction, and deliver outcomes.
What AI is (and isn’t) at marketgoo
Instead of treating AI as a standalone project or a shiny add-on, we see it as a layer that makes our tools faster, smarter, and more helpful. In practice, that means:
- Simplification: AI reduces friction and helps users make confident decisions.
- Data with direction: Insights shouldn’t end at “here’s what we found.” AI must help us point to “here’s what to do next..”, and even help us affirm “..it’s been done already”
- Outcome-first: AI must meaningfully move the needle for our end-users and Partners: visibility, conversions, reduced churn.
We use AI to turn website and domain analysis into growth, and we’re strict about what AI isn’t:
- It’s not a black box
- It’s not automation for automation’s sake
- It’s not a replacement for human understanding.
This forces the questions:
Does it make things easier? Does it provide direction? Does it deliver an outcome?
Why This Framing Matters for Leaders
The reason we’ve defined AI around simplicity, direction, and outcomes is because we see so many in the industry doing the opposite.
Organizations everywhere are deploying AI, but few are transforming through it.
Across industries, nearly nine in ten companies say they “use AI,” yet most of that usage never moves real KPIs because the AI isn’t connected to meaningful workflows or outcomes.
Avoiding the “AI Feature Factory”
We’ve seen vendors rush to ship AI “capabilities” because the market expects it. The result is predictable: tools do not suddenly become more useful.
AI features built without a clear narrative or strategy fail to drive value even when technically impressive.
Leaders should ask:
- What decision does this remove friction from?
- What outcome does this accelerate?
- Is this a feature or a lever?
Anchoring AI to Outcomes
We designed our AI approach so partners and SMBs can point to a real change: higher visibility, better activation, lower churn.
This aligns with what the highest-performing organizations report: AI’s value shows up in revenue, customer satisfaction, differentiation, and innovation.
For leaders, the guiding question is: if this works, what business metric moves?
If that side of the equation is missing, the AI initiative is mis-scoped.
Don’t Just Bolt AI On
Our philosophy at marketgoo is that AI should make workflows lighter and clearer.
This means eliminating steps.
McKinsey’s research backs this up: companies that see meaningful impact are 3× more likely to redesign workflows around AI, rather than placing AI beside existing processes.
The companies that win are the ones that ask:
- What becomes unnecessary if AI is here?
- What gets automated?
- What becomes a one-click decision?
Build Around a Data Advantage
Our AI layer across products isn’t powerful just because of isolated use cases like generating content, optimizing titles or classifying website types, but because it is built on data that reveals opportunities.
The long-term winners will be companies with AI that is anchored in proprietary, structured, strategically leveraged data, not companies with the most AI features.
Leaders should focus on:
- what unique data they have
- how that data drives action
- how that impacts revenue or optimizes resources
Treat AI as a Leadership Imperative
At marketgoo, we don’t believe AI belongs to “the product team”; it belongs to the business strategy.
Leaders should treat AI as:
- a driver of value creation
- a redesign catalyst
- a customer experience strategy
- a workflow transformation engine
..and champion it.
Getting Started Inside Your Organization
1. Start with the decisions that cause friction
List the 5–10 decisions your customers struggle with most.
Then ask: Would AI make this clearer, faster, or or easier to act on?
2. Connect each use-case to a measurable outcome
For every AI initiative, finish the sentence: If this works, it will increase/decrease ______ by ______%.
3. Build your advantage around your data
Not the feature list. Your data advantage is your AI advantage.
AI FOMO
Taking your time with AI is better than implementing AI without purpose.
Ask: Does this help users progress toward their goal more quickly?
Our framing is not a product strategy. But it forces the questions:
- Does this make people’s work easier?
- Does this reduce uncertainty or complexity for the user?
- Does this help users progress faster toward their goal?
- Does this produce business impact?
- Is this siloing AI in one product or use case?
AI’s job isn’t always to automate the next step, it’s to help people reach outcomes faster.
Explore our AI approach at marketgoo.com/ai. It’s a concise look at how purpose-driven AI shows up across the marketgoo platform.
