Beyond the Dashboard: AI That Tells Marketers What to Do Next

NEW YORK, NY – July 21, 2026 – For years, marketers have been sold a promise: more data leads to better decisions. We’ve been armed with dashboards, analytics suites, and tracking pixels that generate terabytes of information on every click, view, and conversion. Yet, for many, this data deluge hasn’t brought clarity; it’s created paralysis. The numbers tell us what happened yesterday, but they rarely offer a clear, confident answer to the most important question: What should we do tomorrow?

This is the paradox at the heart of modern business, what Erkan Terzi, the founder of a new AI platform called inMOLA, calls the industry’s “decision problem.” As he puts it, “Marketers don’t have a data problem anymore — they have a decision problem.”

Today, Terzi’s company, operating from Istanbul and New York, launched its AI-powered marketing decision engine into broad availability. It’s a platform built on a bold premise: that software can move beyond just reporting data and start making strategic recommendations. Instead of a sprawling dashboard, inMOLA promises to deliver a single, prioritized next action and a 30-day plan to execute it, turning a mountain of fragmented data into a decision a leader can act on the same day.

From Data Overload to Decisive Action

For anyone who has ever stared at a dozen open tabs of analytics reports, the concept is immediately appealing. The platform eschews the traditional “read-only” model of most marketing tools. Instead, it functions as an active intelligence layer, built on what it describes as 64 interconnected modules developed over seven years.

These modules, covering everything from competitive intelligence to campaign strategy, feed signals to one another. The system ingests a company’s data from its existing marketing stack—analytics, social media, CRM, and PR tools—and reads it against its direct competitors. The output is deceptively simple: a two-page report for executives and a more detailed plan for marketing teams. The goal isn't to replace tools like Google Analytics or HubSpot, but to sit on top of them and translate their raw data into strategic guidance.

This represents a significant step in the evolution of marketing technology. Industry research confirms that while 75% of marketers now use AI, many are still grappling with how to integrate it beyond simple automation. The demand is shifting from tools that improve efficiency to platforms that enhance judgment. inMOLA is betting that by offering prescriptive guidance—telling teams which campaigns to scale, hold, or cut before the budget is spent—it can fill a critical gap between data collection and strategic execution.

The Pursuit of 'Competitive Truth'

At the core of the platform is a principle I’ve found to be profoundly true in my years as a market analyst: performance is always relative. A 10% growth in market share is fantastic in a stagnant industry but might be a sign of failure in a booming one. inMOLA builds its entire system around this idea, which it calls “competitive truth.”

The platform generates a single “inMOLA Score” from 0–100. Crucially, this isn’t an absolute grade against a fixed rubric. It’s a dynamic benchmark that measures a brand’s performance directly against its chosen competitive set. It doesn’t just tell you that your social media engagement slipped; it shows you that it slipped relative to your main rival, who just launched a successful campaign, and flags it as the most critical issue to address.

This shift from vanity metrics to competitive reality is powerful. It’s the difference between knowing your own speed and knowing if you’re winning the race. By tracking 15 key metrics across marketing, brand, and communications and reporting the month-over-month changes against rivals, the system aims to provide a live, unvarnished view of a brand’s standing in its ecosystem. For brand managers and strategists, this promises to automate the painstaking work of competitive analysis and ground their decisions in the reality of the market, not just the echo chamber of their own data.

Can Software Replace a Six-Figure Consultant?

inMOLA makes another audacious claim: that it can encode “the strategic depth that international consulting firms typically deliver on six-figure budgets” and make it available as scalable software. It’s a classic tech-world promise of democratization, but one that carries significant weight in a world where top-tier strategic advice is often reserved for the Fortune 500.

To achieve this, the company is launching with a tiered business model. Core is designed for large enterprises, Spark for small and mid-sized businesses, and Pulse for executives and personal brands. This structure suggests a genuine effort to make sophisticated intelligence accessible beyond the enterprise level. The platform’s founder, Erkan Terzi, brings a background that lends credibility to the endeavor, with 25 years in marketing, studies at UC Berkeley and MIT Sloan, and a history of building proprietary frameworks for major corporations.

The question, of course, is whether an algorithm can truly replicate the nuanced insight of a human consultant. While software can analyze data at a scale and speed no human team can match, it may lack the contextual understanding and creative problem-solving that define great consulting. However, the goal may not be a 1-to-1 replacement. By encoding proven strategic frameworks into its 64 modules, the platform aims to deliver 80% of the value at a fraction of the cost, available 24/7. For the vast majority of businesses that could never afford a high-end consulting engagement, that trade-off is more than compelling.

Your Next Customer Might Be an Algorithm

Perhaps the most forward-looking feature within the platform is a module called AI Visibility. It is among the first of its kind, designed to measure how often and how prominently a brand appears inside generative AI engines like ChatGPT, Gemini, and Claude.

This addresses a challenge that most companies are only just beginning to recognize. As consumers increasingly turn to AI assistants to ask questions like “what’s the best CRM for a small business?” or “compare the latest electric vehicles,” a new marketing battleground is emerging. If an AI doesn’t know about your brand—or worse, if it has an inaccurate or negative perception of it—you become invisible at a critical moment in the buyer’s journey.

The AI Visibility module tracks whether these AI models recommend a brand, describe it accurately, or direct users toward competitors. It’s a recognition that brands must now market not only to human customers but also to the AI agents that guide them. This shift from search engine optimization (SEO) to what one might call “AI answer optimization” represents a new frontier for marketing, and having a tool to measure and manage it could provide a significant competitive edge as this behavior becomes mainstream.