Find the right voices without scrolling

The problem

You spend hours scrolling feeds and pasting links into spreadsheets. The agencies you hire send lists full of macro names with inflated follower counts and audiences that do not match your buyers. You pay for reach you never get.

What AI makes possible now

Language models now read months of timeline content, not just bios and follower numbers. They score tone, credibility, and the purchase signals in comments. Vision models analyse visual style and brand fit from post images. Cheap inference lets you scan hundreds of accounts per hour. You get a ranked, readable shortlist of under 30 people, each with a plain English reason why they fit.

How it works

1. You describe your product, customer, and the feeling you want the campaign to carry.
2. The system crawls public social profiles across platforms, reading posts, comments, saved stories and visual grids.
3. AI scores each voice on three things: whether their audience overlaps your buyer profile, whether their comment sections show real intent, and whether their visual and tonal style aligns with your brief.
4. You review a shortlist of 20 to 30 people, each with a one paragraph explanation of fit written in plain business English. You export it as a shareable memo for your team or agency.

The first thirty days

Ship a tool that scans one platform, reads the last 90 days of posts and comments, and returns ten ranked names with a fit paragraph. Use a 50 brand waitlist to tune the scoring logic before adding a second platform.

How it earns

Charge per campaign brief, not per seat. Each brief costs a flat fee for one complete shortlist. Later add a retainer tier for brands that run monthly campaigns and need fresh voices every cycle.

Why now

Mass follower counts stopped being a reliable signal. AI models can now do the reading you cannot do manually, and TikTok and Instagram have made micro communities the default unit of real influence.

First customers

Ecommerce brand owners and marketing leads at consumer startups doing 2 to 15 million in annual revenue who already run influencer programs but are tired of agency list quality.

The hard part

Platform access changes fast. The honest hard part is staying compliant with each network's rules while crawling enough public data to produce useful scores.

Build this with us

We take this from idea to a working tool you use inside your business, not a dashboard you learn. The same fixed monthly run covers scraping, model tuning, scoring logic, and the plain-English reports your team reads. If you want this without managing a build, start the conversation at nexibeo.com.