minesales.ai blogs
How to Do B2B Account Research: A Step-by-Step Framework for Sales Teams
A practical 6-step framework for B2B account research. Learn what to look for, where to find it, and how to turn company research into a reason to reach out.
7 Ways to Research a B2B Company Before a Sales Call
Seven practical ways to research a company before a B2B sales call, from annual reports and job posts to news alerts and AI tools, plus a 15-minute pre-call checklist.
How to Find a Company's Pain Points Before You Reach Out
Learn how to find a B2B company's pain points before outreach, using job posts, leadership statements, reviews and industry data, and how to write pain points that start real conversations.
How to Identify Decision Makers and Buying Committees in Enterprise Accounts
How to find the real decision makers in a B2B account, map the buying committee by role, and match each stakeholder to the pain point they own.
Manual vs AI-Powered B2B Research: Time, Cost and Accuracy Compared
A plain comparison of manual and AI-powered B2B account research on time, cost, depth and accuracy, and how to combine both in a sales team's workflow.
How to Build an Ideal Customer Profile (ICP) That Actually Finds Buyers
A step-by-step guide to building a B2B ideal customer profile from your best customers, with a template, the pain-based criteria most ICPs miss, and how to turn it into a target account list.
How to Prioritise Target Accounts: Scoring by Pain, Fit and Timing
A simple account scoring model for B2B sales that ranks target accounts by pain, fit and timing, with a scoring table, worked example and tips for keeping scores current.
Why Most B2B Sales Research Fails and How minesales.ai Closes the Gap
The five reasons B2B sales research fails, from data without insight to research that never reaches the CRM, and how minesales.ai turns account research into pain points, decision makers and opportunities.
How to Use MCP to Bring Sales Research into Claude and ChatGPT
What the Model Context Protocol (MCP) is, why it matters for sales teams, and how to connect a sales research source like minesales.ai to Claude and OpenAI models step by step.
How to Connect minesales.ai MCP to Your Sales Workflow: CRM, Outreach and Account Planning
Practical workflows for using the minesales.ai MCP server and API in daily sales work, including list building, call prep, outreach drafting, CRM updates and account planning, with example prompts.
What Is a Daily Research Digest and Why It Beats a Lead List
A daily research digest gives sales teams researched B2B opportunities with pain points, decision makers and value every day. Learn how it differs from a lead list and why it gets better replies.
How to Find New B2B Sales Opportunities Every Day Without Doing the Research Yourself
Where new B2B sales opportunities come from, why manual prospecting cannot keep up, and how to get a steady daily flow of researched opportunities matched to what you sell.
How to Read a Sales Opportunity: From Pain Point to Decision Maker to Deal Value
A field-by-field guide to reading a researched B2B sales opportunity, from pain points and scope to justification, decision maker and value, and how to turn it into a first message.
A 15-Minute Daily Prospecting Routine Using the minesales.ai Research Digest
A simple 15-minute daily prospecting routine for SDRs, account executives and founders, using the minesales.ai Daily Research Digest to find, choose and act on new B2B opportunities.
How to Filter B2B Opportunities by Industry, Country and Seller Type to Find Your Best Fit
How to use account industry, country and seller industry type filters to find B2B sales opportunities that fit your business, with filter recipes for IT services, consulting and software sellers.
What Demand Analytics Shows About What B2B Buyers Need Right Now
How minesales.ai Demand Analytics turns researched company pain points into clear insight on what B2B buyers need, which teams and industries need it, and where to sell first.
Where to Sell First: Using Industry and Buyer Function Heatmaps to Pick Your Market
How to use industry and buyer function heatmaps from minesales.ai Demand Analytics to choose which market and buyer to sell to first, with a step-by-step method and worked example.
Problem Groups, Buying Themes and Problem Bundles: How to Read B2B Pain Point Data
What problem groups, buying themes, top pain points and problem bundles mean in minesales.ai Demand Analytics, and how to use each one to sharpen messaging, packaging and account targeting.
minesales.ai vs ZoomInfo: Contact Data vs Account Research, and How to Use Both
A side-by-side comparison of minesales.ai and ZoomInfo. See what each tool is built for, how contact data and account research differ, and how to use both together in one sales workflow.
minesales.ai vs Apollo.io: When You Need a Reason to Reach Out, Not Just a Contact
Compare minesales.ai and Apollo.io side by side. Apollo combines contact data with outreach; minesales.ai researches accounts for pain points and opportunities. See how they fit together.
minesales.ai vs LinkedIn Sales Navigator: Finding People vs Finding Problems
Compare minesales.ai and LinkedIn Sales Navigator in clear tables. Sales Navigator finds and follows people; minesales.ai researches accounts for pain points and opportunities. Use both for better outreach.
minesales.ai vs Clay: Data Enrichment Workflows vs Ready-Made Account Research
Compare minesales.ai and Clay in simple tables. Clay builds custom enrichment workflows from many data sources; minesales.ai delivers ready-made account research with pain points and opportunities. Use them together.
minesales.ai vs Intent Data Tools (6sense, Bombora): Buying Signals vs Researched Pain Points
Compare minesales.ai with intent data platforms such as 6sense and Bombora. Intent shows which accounts are researching a topic; minesales.ai shows what each account needs and why. Use both for timing and relevance.
minesales.ai vs ChatGPT and Perplexity Deep Research for Account Research
Compare general AI deep research in ChatGPT and Perplexity with minesales.ai for B2B account research. See where each fits, and how to connect minesales.ai to AI assistants through MCP.
minesales.ai vs Crunchbase: Company Facts vs Sales Opportunities
Compare minesales.ai and Crunchbase in clear tables. Crunchbase tracks funding, investors and company events; minesales.ai turns company research into pain points and sales opportunities. Use both together.
minesales.ai vs Lusha and Cognism: Contact Details vs Context to Use Them
Compare minesales.ai with Lusha and Cognism. Lusha and Cognism provide B2B contact details; minesales.ai provides the account research and opportunities that give every call and email a reason. Use them together.
The B2B Sales Research Stack: Where minesales.ai Fits Next to Your Data, Intent and CRM Tools
A layer-by-layer view of the B2B sales research stack, from contact data and intent to account research, CRM and AI assistants, and where minesales.ai fits as the research layer that connects them.
Best B2B Account Research Tools Compared: What Each One Is Actually For
A table-based comparison of popular B2B sales and account research tools, including minesales.ai, ZoomInfo, Apollo.io, Sales Navigator, Clay, 6sense, Bombora, Crunchbase, Lusha, Cognism, ChatGPT and Perplexity.
How to Use minesales.ai with Salesforce and HubSpot: Research in Your CRM
How to bring minesales.ai account research, opportunities and decision makers into Salesforce or HubSpot using the REST API, automation tools or an AI assistant with MCP, with field mapping tables.