AI / LLM prompt
A written instruction you give to an AI chat tool, source notebook, answer engine, coding agent, or research agent.
Why it matters: A good prompt gives the tool a job, inputs, format, and rules. A vague prompt gives you vague output.
Competitor research glossary
Useful terms for competitor research with AI tools, LLMs, and research apps. No jargon contest. Just what the terms mean and why they matter.
MCP connector
A connection pattern that lets an AI workspace use external tools, files, data, or actions through a controlled interface.
Why it matters: For competitor tracking, MCP-style connections can keep research closer to live exports, saved examples, and repeatable workflows.
AI research app
A tool that helps collect, browse, summarize, or structure competitor research with AI assistance.
Why it matters: It can speed up the desk research, but the output still needs sources, dates, and confidence checks.
Competitor audit
A structured review of a competitor's website, offer, pricing, messaging, ads, SEO, and visible strategy.
Why it matters: It helps you see patterns before you decide what to change.
Competitor teardown
A closer breakdown of one competitor asset, like a landing page, ad, pricing page, or email.
Why it matters: It shows what the asset is trying to do and what you can learn from it.
SEO gap
A topic, keyword, or page type where competitors are visible in search and your site is weak or missing.
Why it matters: It can reveal useful content opportunities, but only if the search intent fits your product.
Positioning map
A simple map that compares how competitors present themselves in a market.
Why it matters: It helps you find crowded positions, weak claims, and credible space for your own message.
Messaging analysis
A review of the promises, phrases, proof, objections, and audience cues in competitor copy.
Why it matters: It helps you understand what competitors keep saying and what proof they use.
Pricing comparison
A side-by-side review of public pricing pages, plan names, limits, add-ons, and missing details.
Why it matters: It helps you improve clarity without guessing hidden discounts or private deals.
Offer analysis
A review of what a competitor sells, how it is packaged, and what makes it easy or hard to buy.
Why it matters: The offer often explains more than the headline.
Swipe file
A saved library of examples, notes, screenshots, prompts, and teardown ideas.
Why it matters: It gives you material to study without starting from zero every time.
Prompt variable
A placeholder inside a prompt that you replace with your own company, competitor, market, source, or goal.
Why it matters: Variables make a prompt reusable without making it generic.
Example input
A filled version of the prompt variables that shows what to paste before running the prompt.
Why it matters: It removes the blank-page problem.
Example output
A sample answer that shows the kind of structure the prompt should produce.
Why it matters: It sets expectations, but it should be labeled clearly when fictional.
Hallucination
An AI-generated claim that sounds confident but is unsupported, wrong, or invented.
Why it matters: Competitor research gets risky fast when hallucinations look like facts.
Verification checklist
A list of checks used to confirm sources, dates, prices, quotes, and claims before using research.
Why it matters: It turns AI output into something safer to share.
Competitor monitoring
A recurring process for checking competitor ads, pages, pricing, SEO, social, product updates, and messaging.
Why it matters: It helps you spot real changes without chasing every small move.
Strategy report
A structured document that turns competitor research into options, risks, recommendations, and next actions.
Why it matters: Research only matters if it helps someone decide what to do next.