What is PromptReports.AI?

PromptReports.AI is an AI-powered platform that creates professional executive research reports in minutes. It provides market analysis, financial reports, and strategic intelligence customized for your business needs.

How does AI report generation work?

Our platform uses advanced AI models to analyze your input data and generate comprehensive research reports. Simply provide your topic or data, select a report template, and our AI creates a professional document with insights, analysis, and recommendations.

What types of reports can I create?

You can create market analysis reports, competitive intelligence reports, trend scanning reports, financial analysis, strategic assessments, and custom research reports tailored to your specific industry or topic.

Yes, we prioritize data security. All data is encrypted in transit and at rest. We do not share your data with third parties, and you maintain full ownership of all reports generated on our platform.

Custom Research

Conduct deep, AI-powered research on any topic with intelligent data gathering, synthesis, and analysis across multiple sources.

What is Custom Research?#

Custom Research in PromptReports enables you to conduct comprehensive, AI-assisted research on any topic. Unlike simple web searches or basic AI queries, Custom Research combines intelligent data gathering from multiple authoritative sources with sophisticated synthesis and analysis to produce research-grade insights.

The platform acts as your AI research analyst, capable of processing vast amounts of information, identifying patterns and connections, and delivering actionable findings in structured, professional formats that would take human researchers days or weeks to produce manually.

Research-Grade Quality

Custom Research is designed for professional use cases requiring:

Comprehensive coverage across multiple source types
Source verification and citation tracking
Nuanced analysis that understands context and relationships
Structured outputs suitable for decision-making
Audit trails for compliance and transparency

Research Capabilities#

Custom Research supports a wide range of research objectives:

Market Intelligence

Analyze market dynamics, competitive landscapes, and industry trends with comprehensive data synthesis.

Company Analysis

Deep-dive into company strategies, financials, leadership, and market positioning.

Geographic Research

Explore regional markets, regulatory environments, and localization considerations.

Technology Assessment

Evaluate emerging technologies, adoption patterns, and technical feasibility.

Customer Research

Understand customer segments, needs, behaviors, and preferences through data analysis.

Regulatory Analysis

Research compliance requirements, policy changes, and regulatory trends across jurisdictions.

Data Sources#

Custom Research aggregates information from diverse authoritative sources:

Source Category	Examples	Data Type
News & Media	Major publications, trade journals, press releases	Current events, announcements, coverage
Financial Data	SEC filings, earnings reports, analyst coverage	Performance metrics, strategic signals
Academic Research	Journals, preprints, conference papers	Technical depth, emerging concepts
Patents & IP	USPTO, EPO, WIPO patent databases	Innovation directions, R&D focus
Company Data	Websites, reports, job postings	Strategy, culture, growth signals
Social & Professional	LinkedIn, industry forums, communities	Sentiment, trends, expert opinions
Government Sources	Regulatory filings, statistics, reports	Compliance, market data, policy
Custom Uploads	Your documents, data files, internal reports	Proprietary information integration

Web Intelligence

Intelligent crawling and extraction from relevant web sources.

Database Access

Direct queries to financial, patent, and research databases.

Document Upload

Analyze your own documents, reports, and data files.

Creating Research Projects#

Set up a new research project with these steps:

Define Research Questions

Clearly articulate what you need to learn. Specific, well-formed questions yield better results than vague topics.

Set Scope & Boundaries

Define geographic, temporal, and topical boundaries. Narrow scope produces deeper analysis; broad scope provides landscape overview.

Configure Data Sources

Select which source categories to include. You can weight certain sources higher or exclude irrelevant ones.

Upload Proprietary Data

Add your internal documents, competitor reports, or custom data files for integrated analysis.

Set Quality Parameters

Configure source recency requirements, minimum source counts, and citation depth.

Launch Research

Start the research process. Complex projects may run for several minutes as data is gathered and synthesized.

Research Question Formulation

Strong research questions are specific and actionable. Instead of "Tell me about AI", ask "What are the primary enterprise AI adoption barriers in the financial services sector for companies with 1000+ employees?"

Research Methodology#

Custom Research follows a rigorous methodology to ensure quality and reliability:

Phase	Activities	Output
Discovery	Initial broad search, source identification, scope validation	Source pool, refined questions
Collection	Deep data gathering from selected sources	Raw data corpus with metadata
Validation	Source verification, recency checks, relevance filtering	Validated source set
Analysis	Pattern identification, synthesis, insight extraction	Key findings, themes, connections
Synthesis	Narrative construction, recommendation formulation	Structured research deliverable
Citation	Source attribution, quote extraction, reference compilation	Fully cited final output

Smart Filtering

AI identifies and removes irrelevant, outdated, or low-quality sources automatically.

Cross-Reference Analysis

Findings are validated by checking consistency across multiple independent sources.

Connection Mapping

Identify relationships between entities, concepts, and trends that might be missed in isolation.

Temporal Analysis

Track how topics have evolved over time and identify directional trends.

AI Research Assistant#

Interact with your research through the AI Research Assistant:

Natural Language Queries

Ask follow-up questions about your research in plain language and get instant, sourced answers.

Insight Generation

Ask the AI to identify implications, generate recommendations, or explore scenarios.

Deep Dives

Request deeper investigation into specific findings or areas of interest.

Content Generation

Generate summaries, briefings, or report sections from your research findings.

Example Research Assistant Interactions

text

User: "What are the main risks mentioned across my sources?"

AI: Based on analysis of 47 sources, the primary risks identified are:
1. Regulatory uncertainty (mentioned in 23 sources)
2. Competitive pressure from new entrants (18 sources)
3. Technology obsolescence (15 sources)
[Each point includes source citations]

User: "Generate an executive summary of these findings"

AI: [Generates a structured executive summary with key insights,
recommendations, and source citations]

User: "What sources discuss the European market specifically?"

AI: 12 sources specifically address the European market:
- [List with titles, dates, and relevance scores]

Quality & Validation#

Ensuring research quality and reliability is paramount:

Source Verification

All sources are checked for authenticity, recency, and relevance before inclusion.

Confidence Scoring

Each finding includes a confidence score based on source quality and corroboration.

Full Citation

Every claim is linked to its source(s) with complete citation information.

Audit Trail

Complete record of sources accessed, queries made, and analysis performed.

Quality Metric	What It Measures	Threshold
Source Authority	Credibility and reputation of source	Tiered scoring system
Recency	How current the information is	Configurable (default: 2 years)
Corroboration	Agreement across multiple sources	2+ independent sources
Relevance Score	How well source matches research question	AI-scored, 0-100
Coverage	Breadth of perspective represented	Minimum source diversity

Critical Evaluation

While Custom Research applies rigorous validation, always critically evaluate findings, especially for high-stakes decisions. The AI flags areas of uncertainty, but human judgment should be the final arbiter of important conclusions.

Deliverables#

Custom Research can produce various output formats:

Deliverable	Format	Best For
Research Report	Comprehensive document with all findings	Deep reference, documentation
Executive Summary	1-2 page key insights overview	Leadership briefings, quick reviews
Data Export	CSV/JSON of sources and findings	Further analysis, integration
Presentation	Slide deck of key insights	Stakeholder meetings, presentations
Interactive Dashboard	Web-based exploration interface	Ongoing reference, team access
Source Library	Organized collection of all sources	Reference, audit, deep dives

Best Practices#

Maximize the value of Custom Research with these recommendations:

Start with Clear Objectives

Know what decisions you need to inform. Research without clear objectives often produces interesting but non-actionable results.

Iterate and Refine

Start with a broad initial scan, then focus deeper based on initial findings. Research is iterative, not linear.

Include Proprietary Data

Upload internal documents, past research, and company data to enrich analysis with your unique context.

Validate Key Findings

For critical insights, trace back to original sources and verify accuracy. Trust but verify.

Document Your Process

Save research configurations and queries for reproducibility and future reference.

Share Appropriately

Use access controls to share research with the right stakeholders while protecting sensitive insights.

Research as a Living Asset

Don't treat research as a one-time activity. Set up monitoring to track how your research topics evolve over time, and refresh key research projects periodically to maintain current intelligence.

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