Build a Competitive Intelligence Agent with AI Tools

Knowing what your competitors are doing used to mean reading their blog, checking their pricing page once a quarter, and hoping someone on your team noticed when they launched a new feature. That approach worked when markets moved slowly. It does not work now.

Competitive intelligence matters because the gap between a competitor shipping a feature and your customers asking you about it has shrunk to days. If your sales team finds out about a competitor’s pivot from a prospect on a demo call, you’re already behind.

The problem is that gathering this intelligence is tedious. A thorough competitive review for a single company involves checking their website, reading recent news coverage, looking at search trend data, reviewing their SEC filings if they’re public, and scanning social chatter. Multiply that by five or ten competitors and you’ve burned a full day. Do it monthly and you’ve committed a significant chunk of someone’s time to something that feels like busywork.

The Manual Pain

Here’s what a typical competitive analysis session looks like without automation:

  1. Open Google, search for the competitor’s name plus “news”
  2. Scan through results, open 10 tabs, read each article
  3. Go to Google Trends, type in competitor names, compare search interest
  4. Check their SEC filings if they’re public (navigate EDGAR, find the right form, read through dense legalese)
  5. Look at their product changelog or blog for recent updates
  6. Write up a summary and share it in Slack

Each step takes 15 to 30 minutes per competitor. The information is scattered across different tools and websites. There’s no structured output, just notes in a doc somewhere.

What an Agent Needs

An AI agent can run this entire workflow, but only if it has access to the right tools. Natural language understanding alone is not enough. The agent needs to call external services that return real, current data. Specifically, it needs:

  • Web search to find the latest information about each competitor
  • News search to pull recent press coverage and announcements
  • Trend data to compare search interest over time
  • Financial data to pull SEC filings and financial metrics for public companies
  • A way to compile output into a structured, readable format

Without these tools, the agent can only work from its training data, which may be months or years out of date. With them, it can pull live information and synthesize it on the spot.

The Workflow, Step by Step

Step 1: Search Competitors

Start by asking your agent to search the web for each competitor. This gives you a baseline of what’s publicly visible: their homepage, recent blog posts, press releases, and any third-party coverage.

“Search the web for Notion, Obsidian, and Logseq. For each, find their current product positioning, pricing, and any recent feature announcements.”

The agent runs a web search for each company and returns structured results with URLs, titles, and snippets. From these, it extracts the key information you asked for.

Step 2: Pull News Coverage

News search gives you a different angle. Web search returns a mix of everything. News search focuses on press coverage, funding announcements, partnerships, and leadership changes.

“Pull the latest news for each competitor from the past 30 days. Focus on product launches, partnerships, and funding.”

The agent searches news sources for each competitor and returns recent articles with publication dates, headlines, and summaries.

Trend data tells you whether interest in a competitor is growing, flat, or declining. This is useful for spotting momentum shifts that haven’t shown up in the news yet.

“Compare Google Trends data for Notion, Obsidian, and Logseq over the past 12 months. Identify any significant spikes or declines.”

The agent pulls trend data and can identify patterns: “Obsidian saw a 40% spike in search interest in February, correlating with their plugin marketplace launch.”

Step 4: Analyze SEC Data

For publicly traded competitors, SEC filings contain revenue figures, risk factors, and strategic priorities that companies are legally required to disclose. This is some of the most reliable competitive intelligence available.

“Search SEC filings for any of these companies that are public. Pull their most recent 10-K and summarize revenue, growth rate, and stated risks.”

The agent searches EDGAR, finds relevant filings, and extracts the financial data you need. For private companies, it skips this step and notes that no filings were found.

Step 5: Compile the Report

The final step is synthesis. The agent takes everything it gathered and produces a structured competitive intelligence report.

“Compile all of this into a competitive intelligence report. For each competitor, include: current positioning, recent news, trend direction, financial summary (if available), and your assessment of their momentum.”

Example Output

Here’s what a section of the compiled report might look like:

Obsidian

  • Positioning: Privacy-focused, local-first note-taking for power users
  • Recent News: Launched plugin marketplace (Feb 2026), raised Series A at $200M valuation (Jan 2026)
  • Trend Direction: Search interest up 40% over past 3 months, strongest growth among competitors analyzed
  • Financial Summary: Private, no SEC filings. Estimated ARR $50M based on press coverage of funding round
  • Momentum Assessment: Accelerating. Plugin marketplace creates network effects that could widen their moat with technical users

That level of detail, produced in minutes rather than hours, across all your competitors at once.

Tools Involved

This workflow uses four tools from AgentPatch:

  • google-search for web search across all competitors
  • google-news for recent press coverage and announcements
  • google-trends for comparing search interest over time
  • sec-search for finding and retrieving SEC filings

Each tool returns structured data that the agent can parse, compare, and synthesize. You pay only for the calls your agent makes, with no monthly subscription for tools you don’t use.

Setup

Connect AgentPatch to your AI agent to get access to all four tools:

The AgentPatch CLI is designed for AI agents to use via shell access. Install it, and your agent can discover and invoke any tool on the marketplace.

Install (zero dependencies, Python 3.10+):

pip install agentpatch

Set your API key:

export AGENTPATCH_API_KEY=your_api_key

Example commands your agent will use:

ap search "web search"
ap run google-search --input '{"query": "test"}'

Get your API key from the AgentPatch dashboard.

Claude Code

Install the AgentPatch skill — it teaches Claude Code when to use AgentPatch and how to use the CLI:

/plugin marketplace add fullthom/agentpatch-claude-skill
/plugin install agentpatch@agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill:

claude mcp add -s user --transport http agentpatch https://agentpatch.ai/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard.

OpenClaw

Install the AgentPatch skill from ClawHub — it teaches OpenClaw when to use AgentPatch and how to use the CLI:

clawhub install agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill, add AgentPatch to ~/.openclaw/openclaw.json:

{
  "mcp": {
    "servers": {
      "agentpatch": {
        "transport": "streamable-http",
        "url": "https://agentpatch.ai/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard. Restart OpenClaw and it discovers all AgentPatch tools automatically.

Once connected, your agent can access the full tool catalog. No separate API keys needed for Google, SEC, or any other data source.

Wrapping Up

Competitive intelligence doesn’t require a dedicated platform or a full-time analyst. An AI agent with access to search, news, trends, and financial data can run the same workflow in minutes. The output is structured, current, and reproducible. Run it once for a board meeting, or schedule it weekly and pipe the results to Slack. The tools are the same either way. Visit agentpatch.ai to connect the tools and start building your competitive intelligence workflow.

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