Honest comparison
AlphaSense is the leader in AI-powered financial and market intelligence search — earnings transcripts, broker research, expert calls. inMOLA is the AI-powered decision engine for marketing: real competitor traffic, brand scoring, AI search visibility, PR, paid and cross-channel competitive performance, focused only on you and your real competitive set.
We will not pretend one is universally better. Here is when each one is the right call — and when you need both.
You need broad financial and market research search across earnings transcripts, broker reports, expert call transcripts and SEC filings. Buyer is equity research, IR, corporate strategy or M&A.
You need a marketing decision engine — real competitor traffic (~20 metrics + predictive trend), brand scoring, AI search visibility, PR media value, paid efficiency — used by CMO, brand/performance leaders and specialists, focused only on you and your competitive set.
In large enterprises both can coexist on different budget lines — AlphaSense for the finance/strategy/IR research workflow, inMOLA for the marketing decision layer. Different buyers, different outcomes.
Where it is strong, it is genuinely strong. We are not here to pretend otherwise.
Industry-leading AI search across earnings calls, broker research, SEC filings and expert call transcripts.
Vast premium content set including Wall Street research and expert network transcripts. Hard to replicate.
Built for equity research, investor relations, M&A and corporate strategy workflows.
Configurable alerts on company-specific signals across the financial content set.
Strong AI summarization on dense financial and research documents.
Used at scale by major banks, asset managers and Fortune 500 strategy teams.
inMOLA was not built to compete with AlphaSense. It was built to answer the questions AlphaSense was never asked to answer.
inMOLA does not just visualize data. It evaluates performance against strategic objectives across forty-plus modules and produces prioritized, scored decisions.
Brand health, paid media, SEO, AI visibility, competitive intelligence, web personalization, PR media value. Each turns a hard marketing question into a structured, repeatable decision.
inMOLA pulls real competitor traffic and audience data through a contracted world-class data provider — ~20 distinct metrics, not panel-modeled estimates. The next-month trend is forecast from the last three months, so you act on direction, not just a snapshot.
CMOs and GMs use inMOLA for strategic calls; brand and performance specialists use it for tactical moves; channel owners use it for daily operational decisions. The platform serves every decision altitude in the marketing org, not only the boardroom.
inMOLA Score collapses every channel into a single, audit-friendly number. The end of "marketing is a black box" in the boardroom.
Track how your brand appears in ChatGPT, Perplexity, Gemini, Claude — and where competitors show up when your name should. Most marketing platforms cannot see this layer.
Erkan Terzi's frameworks and scoring systems — first built in Excel, refined across real campaigns — codified into algorithms. AI is the accelerator, not the strategist.
Scoring runs in permanent improvement mode. A campaign that scored well in month one is reassessed in month four as conditions shift. Longitudinal, not instant.
Stripped to the basics — what each platform actually does and does not do.
| Capability | AlphaSense | inMOLA |
|---|---|---|
| Primary purpose | Financial & market intelligence search | Marketing decision engine (intelligence layer) |
| Scope of analysis | Web-wide financial content (everyone, generic) | Your brand + your competitive set (focused intent) |
| Marketing decisions across channels | No | YesPrioritized cross-channel decisions |
| Real competitor traffic data | No | Yes~20 metrics + predictive trend |
| Brand performance scoring | No | Yes |
| AI search visibility (ChatGPT, Perplexity, Gemini) | No | Yes |
| PR & earned media valuation | No | Yes |
| Paid media decision scoring | No | Yes |
| Equity research / SEC content search | YesIndustry-leading | No |
| Expert call transcripts | Yes | No |
| Primary buyer | Equity research / IR / strategy | CMO + brand/performance leaders + specialists (every decision level) |
| Pricing model | ~$24K/user/yr (enterprise) | Per-module + consultation (Core); monthly tiers (Spark) |
The questions buyers actually ask before they sign either contract.
They solve different problems. AlphaSense answers "what is the market and our competitors saying in financial content?" inMOLA answers "what should we do across brand, paid, PR, AI visibility and competition?" — for marketing leadership and specialists, not finance/IR.
No. inMOLA does not search SEC filings, broker research or expert call transcripts. For finance/IR/strategy research, AlphaSense stays.
No. AlphaSense does not measure brand health, track AI search visibility, value PR media or produce cross-channel marketing decisions. Different category.
AlphaSense lives with equity research, IR, corporate strategy. inMOLA lives with the CMO, marketing leadership and specialists. They sit at different budget lines and serve different outcomes.
They are not alternatives. If the gap is "we need better financial/market research," AlphaSense. If the gap is "we need a marketing decision engine," inMOLA.
AlphaSense stays the financial/market research search layer for finance, IR, strategy and equity research. inMOLA stays the marketing decision engine for CMO, brand/performance leaders and specialists.
Different stakeholders, different budgets, different decisions. They coexist comfortably in large enterprises.
Not really. AlphaSense is a financial and market intelligence search engine. inMOLA is a marketing decision engine. Different category, different buyer, different outcome.
No. inMOLA focuses on marketing data — real competitor traffic, brand health, AI search visibility, PR media value, paid efficiency. For financial document research, AlphaSense is the right tool.
If the bottleneck is finance/strategy/IR research, AlphaSense. If the bottleneck is marketing decisions across channels, inMOLA.
AlphaSense lands around $24K per user per year for enterprise. inMOLA Core is consultation-based; Spark has monthly tiers. Different budget lines.
AlphaSense stops at financial/market content search. inMOLA starts at scored cross-channel marketing decisions, focused only on your brand and competitive set.
In large enterprises with serious finance + marketing functions, yes. They sit on different budget lines and serve different decisions.
We will show you, on your real market and competitive set, what a marketing decision engine looks like next to a financial intelligence search engine.