Competitive Research with AI
Competitive research with AI compares what competitors publicly say — positioning, audience, pricing, proof — in one table where every cell cites the page it came from, so the comparison can be checked and updated.
- Someone makes a comparison slide once a year.
- It is out of date in a month.
- Nobody knows where the numbers came from.
- 1
Fix the list and the pages
Three to five competitors. For each: homepage, pricing page, one product page. Same page types for everyone, or the comparison is unfair.
- 2
Fix the columns before you start
Who it is for, the main promise, pricing model, proof they show, what they do not mention.
- 3
Extract, do not evaluate
First pass is quotation: what does each page actually say. Evaluation comes after, and it is yours.
- 4
Ask for the gaps
What does every competitor claim (table stakes), and what does only one claim. That second list is where positioning lives.
- 5
Date it
Put the retrieval date on the table. Rerun quarterly with the same prompt.
Compare the companies below using ONLY the page text I paste for each. Build a table. Rows = companies. Columns: - Who it is for (their words) - Main promise (quote the headline) - Pricing model (or "not published") - Proof shown (logos, numbers, case studies — list what is there) - Notably absent After the table: - Claims every company makes - Claims only one company makes Cite the page for each cell. Write "not stated" rather than inferring. PAGES: [Company A — homepage text, pricing text, product text] [Company B — …]
| Company | Who it is for | Main promise | Pricing | Proof | | A | "operations teams at mid-size distributors" (home) | "Plan every route in minutes" (home) | Per vehicle / month (pricing) | 3 logos, 1 case study | | B | not stated | "AI-powered logistics" (home) | not published | none shown | Only one company claims: A — named customer results.
Review checklist
- Every cell can be traced to a page you pasted.
- "Not stated" appears where the page is silent.
- The retrieval date is on the document.
- Evaluation and opinion are in a separate section, written by you.
Where this workflow stops
- Anything behind a login, or material obtained under NDA.
- Market-share or revenue estimates — the model will guess.
- A substitute for talking to customers who chose a competitor.
Part of AI for Marketing. Not sure your team is ready for workflows like this? Take the AI Readiness Assessment — 10 questions, no email. Want your team to build this on its own work? See how training works.
Workflows that pair with this one
Customer Interview Analysis with AI
Synthesise customer interviews into themes with quotes and counts, without the model inventing a pattern.
Open workflow →Prospect Research with AI
Turn a company website, a LinkedIn profile and your CRM notes into a one-page prospect brief before outreach.
Open workflow →Executive Brief Creation with AI
Build a one-page weekly brief for leadership from team updates: what changed, what is at risk, what needs a decision.
Open workflow →
Bring one task.
Leave with it running.
Book a 30-minute call. You’ll have a recommended format and a written quote within 24 hours.
Book a WorkshopOr email [email protected] · text TRAINING to (469) 425-4142