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Find Perfect Influencers Before Your Competitors Do

Build an AI-powered influencer discovery system that identifies authentic creators with engaged audiences—using natural language queries instead of complex API integrations.

Find Perfect Influencers Before Your Competitors Do

The Problem

Finding the right influencers is like searching for needles in a haystack while your competitors grab them first. Traditional discovery methods fail marketers in predictable ways:

Vanity metrics deceive

Follower counts mean nothing when 40% of accounts show signs of purchased followers or bot engagement

Manual research doesn't scale

Scrolling through profiles, checking engagement rates, and vetting content takes hours per candidate

Platform fragmentation

Promising creators exist across Twitter, Instagram, and other platforms—checking each separately is inefficient

Timing matters

By the time you find a rising creator through conventional methods, competitors have already locked them into exclusivity deals

The Workflow

Xpoz MCP transforms influencer discovery from manual guesswork into an AI-powered intelligence operation. Here's how the agentic workflow functions:

Example Queries

Ask Claude in natural language. Here are some examples with the underlying API calls:

Find micro-influencers in a specific niche

>"Find Twitter users who have posted about "sustainable fashion" or "ethical clothing" in the past 6 months. I want creators with 10,000-100,000 followers who have high engagement on their relevant posts. Show me their engagement metrics and how many posts they've made on this topic."

getTwitterUsersByKeywordsClaude uses getTwitterUsersByKeywords to find micro-influencers in a specific niche.

Vet a potential partner's audience quality

>"Analyze the followers of @potential_partner on Instagram. What's the profile of their audience? How many have meaningful follower counts themselves versus accounts that look inactive or fake?"

getInstagramPostsByKeywordsClaude uses getInstagramPostsByKeywords to vet a potential partner's audience quality.

Discover who's driving conversation around competitors

>"Who are the most influential people commenting on and quoting posts from @competitor_brand on Twitter? I want to find engaged creators who might be open to partnerships."

getTwitterUsersByKeywordsClaude uses getTwitterUsersByKeywords to discover who's driving conversation around competitors.

Why XPOZ

No platform API keys needed

Access Twitter and Instagram data through a single MCP connection. No developer accounts, no rate limit management, no API maintenance.

Natural language queries

Describe what you want in plain English. Claude translates your intent into the right combination of tools and parameters.

Authenticity signals built-in

Twitter data includes bot detection scores and inauthenticity indicators. You're not just finding influencers—you're finding real ones.

Cross-platform intelligence

Query multiple social platforms through one interface. Find creators wherever they're building audiences.

Engagement depth, not just metrics

Access actual comments, quotes, and interaction patterns. Understand how audiences engage, not just that they do.

Frequently Asked Questions

Claude analyzes multiple signals from Xpoz data: comment substance and variety (not just emoji reactions), the ratio of engagement to follower count, whether engagers are real accounts with their own activity, and historical consistency of engagement patterns. For Twitter specifically, Xpoz provides authenticity probability scores that flag accounts showing bot-like behavior.

Yes. By analyzing a creator's follower base through `getTwitterUserConnections` or `getInstagramUserConnections`, Claude can profile audience characteristics—location signals from bios, professional indicators, follower count distributions, and account maturity. This helps ensure a creator's audience matches your target market.

Query posts from competitor brand accounts and analyze who's tagging them, creating sponsored content mentioning them, or receiving unusual engagement from the brand. The `getTwitterPostInteractingUsers` and content search tools reveal these partnership signals before they're publicly announced.

Traditional platforms rely on influencers self-registering and provide curated, often outdated databases. Xpoz queries live social media data—you find creators based on what they're actually posting now, including rising voices who haven't joined any platform. The AI layer means you describe outcomes, not parameters.

Get Started

Xpoz connects to Claude as a remote MCP server—no local installation or npm packages required.

1

Open Claude settings and navigate to Connectors

2

Add the custom connector URL: `https://mcp.xpoz.ai/mcp`

3

Authenticate with your account

4

Start querying: "Find influencers in [your niche] with authentic engagement"

The free tier includes 100,000 results per month—enough to build comprehensive influencer pipelines without upfront commitment. Your competitors are already reaching out to tomorrow's top creators. The question is whether you'll find them first.

Ready to Build Your Find Perfect Influencers Before Your Competitors Do?

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