Add Competitive Intel to OpenClaw

Your OpenClaw agent can write code, manage files, and browse the web. But ask it how to outsell Salesforce in an enterprise deal and you'll get a generic answer pulled from training data. No real positioning strategy. No objection handlers. No pricing comparison.

That changes today. Battlecard's MCP server gives your OpenClaw agent access to real competitive intelligence: battle cards, objection handlers, pre-call briefings, and aggregate field data from actual sales conversations. This tutorial walks you through setup and three workflows you can use immediately.

The Gap in Most AI Agents

AI agents are excellent at general tasks. They can summarize documents, write emails, and automate workflows. What they cannot do is provide domain-specific competitive intelligence. The difference matters:

**Generic AI response:** "HubSpot is a popular CRM with marketing features. Salesforce is an enterprise CRM. Both have pros and cons."

**Battlecard MCP response:** "HubSpot wins for teams under 50 employees because of free tier and faster implementation (days vs months). Salesforce wins for enterprise with dedicated admins. At a 20-person team, HubSpot costs $0-$1,600/mo vs Salesforce's $1,500-$6,000/mo. When the prospect says 'Salesforce has more features,' respond with: 'More features means more complexity. Your team will be productive in 2 days with HubSpot. Salesforce averages 6 months to implement.'"

That second response wins deals. The first one fills space.

What the Battlecard Skill Does

The Battlecard MCP server exposes 6 tools your agent can call:

The three most useful for getting started: get_battle_card (instant competitive analysis), get_objection_handlers (scripts for specific competitors), and generate_pre_call_briefing (meeting prep that combines everything).

Setup

Two options. Both take under 5 minutes.

Option A: One-Line Install via Skills Registry

Run: `openclaw skill install battlecard-competitive-intelligence`. When prompted, enter your API key (get one free at battlecard.northr.ai/signup).

Option B: Manual MCP Configuration

Add the battlecard server to your OpenClaw MCP config file (`~/.openclaw/mcp.json`). Set the URL to `https://battlecard.northr.ai/mcp`, transport to `sse`, and add your API key as a Bearer token in the Authorization header. List all 6 tools: get_battle_card, compare_competitors, get_objection_handlers, capture_call_intelligence, get_field_intelligence, generate_pre_call_briefing.

Replace the placeholder key with your key from battlecard.northr.ai/signup. The free tier gives you 1 query to test. Starter ($49/mo) gives you 50 queries/day.

Restart your OpenClaw agent. You should see "battlecard" listed in your connected MCP servers.

Verify It Works

Ask your agent: "Generate a battle card for Notion vs Confluence." If the connection is working, you'll get a structured competitive analysis with strengths, weaknesses, pricing comparison, and objection handlers for both sides. Not a generic summary from training data, but actual competitive intelligence.

Workflow 1: Pre-Call Briefing

Tell your agent: "I have a sales call tomorrow with Acme Corp. They're evaluating us against HubSpot and Pipedrive. Generate a pre-call briefing with competitor data, expected objections, and recommended positioning."

The agent calls generate_pre_call_briefing and returns a structured document: key talking points, pricing comparison at Acme's team size, the 3 most likely objections with scripted rebuttals, questions to ask during discovery, and a closing strategy.

Workflow 2: Post-Call Intelligence Capture

After a sales call, paste your notes and tell the agent to extract competitive intelligence. The agent calls capture_call_intelligence and extracts: competitors mentioned, objections raised, pricing signals, and deal timeline. This data gets stored and feeds the aggregate intelligence over time.

Example: from notes mentioning Salesforce frustration, HubSpot evaluation, $50K budget, and Gong pricing concerns, the agent extracts 3 competitors, 2 objections, 2 pricing signals, and a Q2 timeline. All structured and searchable.

Workflow 3: Real-Time Objection Handlers

Mid-deal, when a prospect mentions a competitor: "A prospect just said they're leaning toward Intercom because of their AI chatbot features. Give me 3 objection handlers I can use in my follow-up email."

The agent calls get_objection_handlers with the competitor name and context, and returns specific, usable rebuttals. Not generic advice. Scripts your rep can copy into an email or use on the next call.

What's Next

**Multi-competitor analysis:** Use compare_competitors to map an entire competitive landscape. Useful for quarterly planning or entering a new market.

**Field intelligence:** On the Team plan, get_field_intelligence aggregates patterns from all users' captured call data. See which objections are trending, which competitors are winning, and where pricing pressure is building. This is intelligence from real conversations, not web scraping.

**Voice simulations:** Beyond the MCP integration, Battlecard offers AI-powered voice simulations where reps practice selling against realistic AI prospects who push back with real competitive data. See our AI Sales Simulations guide at /blog/ai-sales-simulations-guide for the full framework, or our Sales Battle Cards Complete Guide at /blog/sales-battle-cards-complete-guide for how battle cards fit into your competitive selling process.

Install It Now

Your OpenClaw agent is already running 24/7. Give it competitive intelligence and it becomes a sales weapon.

Install the skill: `openclaw skill install battlecard-competitive-intelligence`

Or connect your MCP server manually: battlecard.northr.ai/connect

Generate your first battle card free at battlecard.northr.ai/generate.

Frequently Asked Questions