What is Digital Market Intelligence (DMI)?

Digital Market Intelligence is a three-week category intelligence engagement built for organisations making high-conviction moves: market entries, category launches, or acquisition due diligence. It combines four components — consumer intent mapping, AI landscape audit, digital channel analysis, and channel investment modelling — into a decision-grade brief with six deliverables. DMI is delivered directly to enterprises and in partnership with strategy and management consulting firms that white-label or co-deliver the engagement.

How is DMI different from traditional market research?

Traditional market research tells you demand exists. DMI tells you where that demand searches, what it asks AI, which brands AI recommends, where competitors are investing, and what it will cost to reach visibility threshold. It replaces the focus-group era with real-time intent data and live LLM testing across ChatGPT, Perplexity, Gemini, and Claude.

DMI is built for three decisions: market entry into a new geography such as UAE, KSA, Egypt or the Netherlands; category launch for a new product or service into a competitive market; and acquisition intelligence during due diligence on a brand, market, or digital asset.

How long does DMI take?

The core engagement is a three-week sprint. Week 1 maps consumer intent and the AI landscape. Week 2 examines competitor investment and the digital gap map. Week 3 synthesises findings into a decision-grade brief and delivers a live executive readout. Category Read (entry tier) can be delivered in two weeks.

DMI is offered in three tiers. Category Read from $6,000 delivers a focused snapshot for a single market. Full DMI from $9,000 delivers all four components and six deliverables for one market and category. Enterprise from $12,000 to $18,000 covers multi-market or multi-category scope with board-grade output. All tiers are scoped and priced in writing before work begins.

MARKET INTELLIGENCE · DIRECT & CONSULTING CHANNELS

The digital intelligence layer market decisions are missing.

Traditional market research tells you demand exists. Digital Market Intelligence tells you where that demand searches, what it asks AI, which brands AI recommends, where competitors are investing, and what it costs to win. Delivered directly to enterprises, and in partnership with strategy and management consulting firms.

Four Components Six Deliverables Pricing Request a Scope Call →

50+

Consumer intent queries mapped per market

AI platforms tested (ChatGPT, Perplexity, Gemini, Claude)

3 weeks

Delivery sprint, kick-off to executive readout

Intelligence deliverables, executive-grade format

What This Is

Category-level intelligence for high-conviction moves.

DMI is built for organisations making commitments where the cost of being wrong is measured in millions: a market entry, a category launch, a competitive repositioning, an acquisition.

It replaces the focus-group era with real-time signal from the systems buyers actually use. What consumers type into search. What they ask ChatGPT. Which brands Perplexity, Gemini, and Claude are already recommending. Where the competitive gaps are, and what the investment path costs.

Delivered directly to enterprises, or as a white-label / co-delivered engagement with strategy and management consulting firms who need a digital and AI-visibility layer inside their client work.

"Most market research answers what happened. DMI answers what to do about it."
Rima Taha

Delivery Channels

Direct engagement — the standard path. Rima Taha is the contract holder and single point of accountability from scoping through readout.

Consulting-firm partnership — DMI runs inside a strategy or management consulting firm's own engagement, either white-labelled under the firm's brand or co-delivered. The consulting firm holds the client relationship; Rima Taha delivers the digital, GEO, and AI-visibility layer of the intelligence stack.

Methodology

Four components. Four intelligence layers.

Together they answer where the market lives digitally, who is winning it, and what it costs to compete. Each layer is a distinct piece of evidence. Together they form a decision.

Component 01 · Consumer Intelligence

Consumer Intent Mapping

What consumers are actually searching and asking AI, not what they say they want in interviews, but what they type and query when making decisions. The new focus group, at scale, in real time.

→50+ queries mapped across awareness, consideration, transactional stages
→Search volume and trend signals by query cluster
→AI query language, verbatim from ChatGPT and Perplexity
→Arabic and English variants for GCC/MENA markets
→Decision-stage distribution across the funnel

Component 02 · AI Intelligence

AI Landscape Audit

Who AI is recommending in this category and the structural reasons behind those recommendations. The most commercially relevant intelligence in an AI-first market, live-tested against real systems.

→Live AI testing across ChatGPT, Perplexity, Gemini, Claude
→Who AI recommends for key category and market queries
→Citation source analysis, why AI cites certain brands
→First-mover AI opportunity assessment and window estimate
→Entity architecture strength per competitor

Component 03 · Competitive Intelligence

Digital Channel Analysis

Where competitors are investing digitally, and where the gaps are that represent entry opportunity for a new entrant. Every relevant channel, benchmarked against real spend and real performance.

→Paid search presence and estimated spend per competitor
→Organic search authority and keyword ranking positions
→Social channel investment and engagement signals
→Website quality and digital infrastructure assessment
→Channel gap map, high demand, low competition zones

Component 04 · Investment Intelligence

Channel Investment Model

A quantified investment model showing what it costs to reach visibility threshold in this market, channel by channel, with sequencing logic for maximum ROI. Built for this market, not a generic framework.

→Paid search: market CPC × required volume × conversion rate
→Organic/SEO: timeline to rank × resource investment estimate
→GEO/AI visibility: schema, content, llms.txt investment
→Social: platform and content production requirements
→Recommended allocation by channel and sequence

Outputs

Six deliverables. Decision-grade format.

Executive-ready, board-consumable, and structured to drive a decision, not fill a folder. Each deliverable stands alone and reinforces the others.

Intent Signal Report

50+ mapped consumer queries with volume, trend, funnel-stage distribution, and AI query language, one document, one map of demand.

AI Visibility Audit

Live testing evidence across ChatGPT, Perplexity, Gemini, Claude with competitor citation analysis and first-mover window estimate.

Competitive Digital Map

Paid, organic, social, and AI-visibility posture per competitor, benchmarked with estimated spend and quality signals.

Channel Gap Map

Cross-plot of demand versus competitor investment, revealing the zones where a new entrant can move fastest for lowest cost.

Investment Model

Quantified channel-by-channel budget path to visibility threshold, sequenced for ROI. Numbers, not hand-waving.

Executive Brief & Readout

Board-grade synthesis document plus a 90-minute live executive readout with your leadership team. Decisions taken in the room.

Who This Is For

Three decisions. One intelligence engine.

Market Entry

Expanding into a new geography, UAE, KSA, Egypt, or Netherlands, and need to understand the digital and AI landscape before committing budget or resource.

Category Launch

Launching a new product or service into a competitive category and need to know where competitors win digitally and what investment reaches visibility threshold.

Acquisition Intelligence

Conducting due diligence on a brand, market, or digital asset and need an independent digital and AI-visibility layer alongside financial and commercial analysis.

Engagement Tiers

Three tiers. Scoped, not standardised.

All tiers include the four intelligence components. Scope, market count, and depth scale to match the decision at hand. Fixed fee, agreed in writing before work begins.

Tier 01

Category Read

Focused snapshot · 2 weeks

$6,000

Single market, single category. Fixed fee.

→25+ consumer intent queries
→AI landscape read, 4 platforms
→Top 3 competitor digital profile
→Directional investment estimate
→Executive brief and readout

Request Category Read

Most Common

Tier 02

Full DMI

Four components · 3 weeks

$9,000

Single market. Full six-deliverable brief.

→50+ mapped consumer intent queries
→Full AI landscape audit, 4 platforms, citation analysis
→Top 5 competitor digital and AI profile
→Quantified channel investment model
→All six deliverables and 90-min readout

Request Full DMI

Tier 03

Enterprise

Multi-market · board-grade

$12–18k

Multi-market or multi-category. Scoped individually.

→Multi-market intent mapping
→Cross-market AI visibility comparison
→Extended competitor set, up to 10 brands
→Portfolio-level investment model
→Two readouts, executive and board

Request Enterprise Scope

All tiers include the four intelligence components. Every engagement scoped in writing before work begins.

Frequently Asked

What organisations ask before committing.

How is DMI different from a traditional market study?

Traditional research answers whether demand exists. DMI answers where that demand lives digitally, what it asks AI, which brands AI recommends, and what investment reaches visibility threshold. It replaces stated-preference interviews with real-time signal from search and LLMs.

Can consulting firms deliver DMI to their own clients?

Yes. DMI is available to strategy and management consulting firms as a white-label or co-delivered engagement inside their own client work. The firm holds the client relationship and the commercial layer; Rima Taha delivers the digital, GEO, and AI-visibility intelligence layer. Terms and margin structure are agreed per engagement.

Which markets can you cover?

Any EMEA market. Deepest working knowledge in the GCC (UAE, KSA, Bahrain, Qatar), MENA (Egypt, Lebanon, Jordan), and the Netherlands. Bilingual Arabic and English intent mapping is native to the methodology.

What data sources power the analysis?

Search intent data (SEMrush, Ahrefs, DataForSEO, Google Trends), live LLM testing (ChatGPT, Perplexity, Gemini, Claude), competitor digital telemetry (paid search estimates, organic authority, social signals), and web infrastructure audits. Every source is documented in the deliverable.

Is there an NDA before scoping?

Yes. Every scoping conversation begins under mutual NDA. Category, competitor set, and any strategic context stays confidential.

The Next Step

Bring the decision to us before the budget.

A 45-minute scoping call is the fastest way to know whether DMI is right for the decision in front of you. NDA on request. No obligation beyond a scoped proposal.

Request a Scope Call → See All Products