arthai-marketplace

/market-research

Research industry AI adoption, competitors, and trends.

Synopsis

/market-research <client-name> [--focus industry|competitors|trends]

Prerequisites

• A client profile at clients/<client-name>/profile.json (run /client-discovery first if it doesn’t exist yet)
• WebSearch tool access, this skill runs live research queries and has no offline mode

When to use it

• Building the evidence base for a proposal, adoption rates, ROI benchmarks, named case studies
• Profiling what a client’s competitors are doing with AI and where the gaps are
• Scanning emerging AI technology and regulatory shifts relevant to a client’s vertical
• Not for: the initial client intake and maturity scoring, that’s /client-discovery

Quickstart

/market-research acme-corp --focus industry

What you’ll see: a series of WebSearch queries, then a sourced research report, adoption landscape, case studies, ROI benchmarks, and a Porter’s Five Forces AI analysis, written to the client’s discovery directory.

Examples

/market-research acme-corp                     # no focus — runs all three modes sequentially (slower, ~15-25 units)
/market-research acme-corp --focus industry    # adoption rates, use cases, ROI benchmarks (fastest, single mode)
/market-research acme-corp --focus competitors # competitor AI capabilities and gaps
/market-research acme-corp --focus trends      # emerging tech, regulation, market shifts

Arguments & flags

Flag	Values	Default	What it does
--focus	industry competitors trends	all three	Limits the research to one mode

What it does

1. Loads the client profile, reads clients/<client-name>/profile.json for industry, company name, known competitors, geography, and AI maturity. If the profile is missing, it asks you to run /client-discovery <client-name> first.
2. Executes research queries, 8 WebSearch queries per focus mode, tailored to the client’s industry, competitors, and geography. Collects adoption percentages, named case studies with quantified outcomes, ROI benchmarks, and implementation barriers, all with source attribution.
3. Porter’s Five Forces AI analysis, builds an AI-specific competitive forces canvas (new entrants, vendor power, customer power, substitutes, rivalry), each force rated HIGH/MEDIUM/LOW with justification and a strategic implication for the client.
4. Synthesizes findings, each insight gets supporting evidence with citation, relevance to the client, a recommended action, and a confidence rating (HIGH/MEDIUM/LOW). Cross-references identify convergent signals, contradictions, white spaces, and urgent threats.
5. Quality checklist, before output: every claim cited, ROI numbers sourced and dated, competitor data within 12 months, no speculative claims presented as facts.

Output & artifacts

Written to clients/<client-name>/discovery/ (relative to your Arth client workspace directory), one file per focus mode:

• discovery/market-research.md, industry focus: adoption landscape, case studies, ROI benchmarks, Five Forces canvas, strategic implications
• discovery/competitive-landscape.md, competitors focus: capability matrix, per-competitor profiles, gap analysis, opportunities and threats
• discovery/industry-trends.md, trends focus: near/mid/long-term trend timeline, regulatory landscape, technology watch list

All reports end with a numbered source list.

Troubleshooting

Problem	Fix
Run /client-discovery <client-name> first	The client profile is missing or lacks industry/company_name: complete discovery before researching
Competitor mode produces thin profiles	The profile has no known competitors listed: edit clients/<client-name>/profile.json to add a competitors array, then run the skill again
Findings feel generic	Check the confidence ratings: LOW-confidence single-source insights need validation before they go in a proposal

Related

• /consulting, the engagement orchestrator; research feeds the assess and propose phases
• /client-discovery, produces the client profile this skill reads
• /opportunity-map, uses research findings when scoring initiatives
• /pitch-generator, cites this research in proposals