How to Get Google Autocomplete Suggestions with OpenClaw

Google autocomplete suggestions reveal what people associate with a brand, product, or company — before they even finish typing. If someone types a competitor’s name and Google suggests “pricing,” “alternative,” or “vs your product,” that’s competitive intelligence you can act on. The AgentPatch Google Suggest tool gives your OpenClaw agent access to those suggestions directly, turning a simple chat into a competitive research tool.

Why This Matters

Competitive intelligence usually means logging into a paid tool, running reports, exporting CSVs, and then manually interpreting the results. For quick checks — what are people searching about a competitor right now? — that’s overkill.

Autocomplete is uniquely useful for competitive analysis because it reflects real user queries, updated frequently by Google. When users type a competitor’s brand name, the completions that follow tell you what the market cares about: pricing complaints, product comparisons, feature gaps, or hiring signals. This data is free and public, but manually checking it for multiple competitors across multiple query patterns is tedious.

With Google Suggest available through AgentPatch, your OpenClaw bot handles the tedious part. Ask it to check a competitor and it runs the queries, collects the suggestions, and surfaces patterns.

Setup

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.

Example

You’re chatting with your OpenClaw bot and want to understand what people search for around a set of competitors. You ask:

“Run Google Suggest for ‘Datadog,’ ‘New Relic,’ and ‘Grafana’ and tell me what the autocomplete suggestions reveal about each.”

Your OpenClaw agent calls the Google Suggest tool for each brand:

Getting Google autocomplete suggestions for "Datadog"...
Suggestions: datadog pricing, datadog vs splunk, datadog alternatives,
datadog dashboard, datadog apm, datadog stock, datadog careers

Getting suggestions for "New Relic"...
Suggestions: new relic pricing, new relic vs datadog, new relic free
tier, new relic apm, new relic alternatives, new relic login

Getting suggestions for "Grafana"...
Suggestions: grafana dashboard, grafana cloud, grafana vs datadog,
grafana tutorial, grafana alerting, grafana open source

Competitive patterns:

- All three have "pricing" or "free tier" in their suggestions,
  confirming pricing is a top concern in this market.

- "Alternatives" appears for Datadog and New Relic but not Grafana.
  Users are actively shopping away from the paid incumbents.

- Grafana's suggestions are feature-oriented (dashboard, alerting,
  tutorial) rather than comparison-oriented. People searching
  Grafana are learning how to use it, not evaluating it against
  competitors. That suggests strong adoption momentum.

- "Datadog vs splunk" and "new relic vs datadog" show specific
  head-to-head comparisons people are running. If you're competing
  in this space, those comparison queries are content opportunities.

You follow up to dig into a specific angle:

“Now check what comes up for ‘datadog alternative for’ — I want to see what specific needs are driving people away.”

Getting suggestions for "datadog alternative for"...
Suggestions: datadog alternative for small teams, datadog alternative
for logs, datadog alternative for kubernetes, datadog alternative
for startups, datadog alternative open source

The displacement drivers are clear: cost sensitivity (small teams,
startups), specific use cases (logs, kubernetes), and licensing
preference (open source). If you're positioning against Datadog,
these are your entry points.

Two messages, and your OpenClaw bot mapped out competitive positioning, churn drivers, and content opportunities. Same workflow works in Discord, Telegram, or Signal — wherever your OpenClaw instance lives.

Wrapping Up

Google Suggest turns your OpenClaw bot into a lightweight competitive intelligence tool. Ask about a brand, get back what the market is actually searching for. The same AgentPatch connection also gives your agent access to web search, news, maps, email, and more. Check out the full marketplace at agentpatch.ai.

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