AI business intelligence means using language models and AI-powered research tools to gather, synthesize, and structure market information faster than traditional research methods. For a go-to-market baseline, this includes competitor analysis, target customer profiling, market sizing estimates, and positioning gap identification. Tools like Perplexity, ChatGPT with browsing, and Claude handle the synthesis layer while you direct the research questions. A GTM baseline that would take a team 2-3 weeks to produce manually can be assembled in about 2 hours with a structured AI research workflow. At aidowith.me, the go-to-market baseline route runs 14 steps in about 2 hours. It covers competitive landscape research, ICP definition, positioning matrix creation, and a channel hypothesis. You finish with a structured document your leadership team can review and act on, not a collection of browser tabs and AI chat transcripts. aidowith.me provides an AI assistant at each step to help you structure your research questions and synthesize findings.
Last updated: April 2026
The Problem and the Fix
Without a route
- Market research for a GTM baseline takes 2-3 weeks manually and still produces information that's 6-12 months out of date
- AI tools produce scattered insights without a structured research framework, adding 3-5 hours of manual synthesis that a proper workflow eliminates
- Go-to-market documents built from AI outputs often lack the 3-5 competitor specifics and data points that make them credible to a leadership team
With aidowith.me
- Walk through a 14-step AI business intelligence workflow that covers competitive analysis, customer profiling, and positioning in one session
- Use structured AI research prompts that produce synthesizable outputs, not just summaries you have to reorganize manually
- Finish with a complete GTM baseline document: competitor matrix, ICP, positioning gaps, and channel hypotheses
Who Builds This With AI
Founders
Move fast on pitches, pages, research. AI as your first hire.
Managers & Leads
Reports, presentations, and team comms handled faster.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
How It Works
Map the competitive landscape with AI research
Use Perplexity or ChatGPT with browsing to gather competitor positioning, pricing, and feature data. Structure the output in a comparison matrix from the start, so you're building a document as you research, not transcribing later.
Build your ICP and market sizing estimate with AI assistance
Use Claude to synthesize customer profile characteristics from your research inputs. Generate a rough market sizing estimate using the TAM/SAM/SOM framework with AI helping you structure assumptions and find reference data.
Identify positioning gaps and write your GTM hypothesis
Run your competitive matrix through an AI analysis prompt to identify positioning whitespace. Draft a positioning statement and channel hypothesis. The route includes specific prompts for each of these outputs.
Build Your Go-to-Market Baseline in One Session
The aidowith.me GTM baseline route runs 14 steps in about 2 hours. You'll finish with a document leadership can act on.
Start This Route →What You Walk Away With
Map the competitive landscape with AI research
Build your ICP and market sizing estimate with AI assistance
Identify positioning gaps and write your GTM hypothesis
Finish with a complete GTM baseline document: competitor matrix, ICP, positioning gaps, and channel hypotheses
"I built a GTM baseline in one afternoon that would have taken my team three weeks to put together the traditional way."- Head of Strategy, B2B technology company
Questions
Traditional BI tools (Tableau, Power BI, Looker) analyze structured data from your internal systems: sales, operations, product usage. AI business intelligence uses language models to research, synthesize, and structure external market information: competitor positioning, customer behavior signals, and emerging trends from text sources. It's faster for qualitative research and fills the gap that dashboards leave when you need market context, not internal metrics.
AI tools can structure the market sizing framework and surface reference data points from public sources, but the estimates they produce need verification. Use AI to build the TAM/SAM/SOM structure, identify the right industry reports to reference, and synthesize available data. Treat AI-produced market sizing as a starting estimate to validate, not a final number.
With a structured workflow, a full go-to-market baseline takes about 2 hours using AI tools. This covers competitive analysis, customer profiling, market sizing, and positioning. The aidowith.me GTM baseline route runs 14 steps in about 2 hours and includes AI prompts for each research stage so you don't waste time figuring out how to ask the right questions.