Social Media Tools

Influencer Finder

TurboAgents Influencer Finder is an AI tool that searches Instagram for creators in your niche, reads their recent posts one by one to work out what a typical post really gets, scores how well each one fits your brand, and finds a public way to contact them — so you approach people on measured numbers instead of follower counts.

Find creators worth paying — measured post by post, scored in our code, contactable, and saved to your brand.

Describe your niche or paste a product URL and the engine goes looking across four different discovery routes, then opens each promising creator and reads their recent posts individually. You get a ranked shortlist built on median performance, a side-by-side comparison of your favourites, a read on which of their posts were paid partnerships, and a first message ready to send.

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A weak pool stops and shows you ten before you pay

Median

Not the one lucky viral post

2–5

Creators compared side by side

4 routes

Searched, not one keyword lookup

What is Influencer Finder?

What influencer discovery actually costs you today.

Finding creators is the easy half. Any search box returns handles. The expensive half is working out which of those handles is worth money — whether the engagement is real, whether a typical post performs anything like the pinned one at the top, whether they have run brand deals before, and how to reach them without a mutual connection.

That vetting is what influencer platforms charge $200–800 a month for, and it is all derivable from public posts. Influencer Finder does the derivation: it opens the recent grid, reads each post, and reports the middle of the range rather than the top of it. Here is the vocabulary it reports in:

The score is just what we measured

Median engagement rate: The middle post’s engagement, not the average. One viral post can drag an average up thirtyfold — we have measured the same creator at 16.31% mean and 0.55% median.
Fit score: A 0–100 score computed in our own code from measured signals — engagement, niche match, size fit, recency, regularity and how reachable they are. The model explains the number; it never invents it.
Disclosed partnership: A post carrying a paid-partnership label. We separate these from a creator’s own posts so a brand-deal comparison is not quietly mixed with organic reach.
Posting cadence: How often they actually publish, measured across the recent grid with pinned posts excluded — a pinned post from last year makes a daily poster look dormant.

The Problem

Picking creators from your own feed means picking the ones who already reached you — the opposite of a growth strategy. So brands fall back on follower count, pay for a post that lands on nobody, and have no way of knowing beforehand. The alternative is a platform subscription costing more per month than the first creator you would have hired.

How It Works

Pick your brand — the search fills in

Choose your brand and the search words fill in from what you sell and where; or describe your niche or paste a product URL. A free query check warns you when a phrase will return shops and resellers instead of creators — the wording swings results enormously.

We search four ways, then read the posts

Discovery searches creator bios, hashtags, people already tagging you or a competitor, and keywords — on our credits. A healthy pool carries straight on to the paid read; a thin, ambiguous or dead-handle pool stops and shows you ten real creators first, so you decide whether it is worth paying for.

Compare, then contact

Each creator is opened and read post by post. You get a ranked shortlist, a side-by-side compare tab for your top few, a split of their brand posts versus their own, and an outreach kit with a first message written for the ones you tick.

See a Real Excerpt

What a shortlist row actually tells you.

INFLUENCER_SHORTLIST.docxSection 2 of 4 · Ranked shortlist

Speciality coffee · India · 10k–100k followers

Four discovery routes · 12 recent posts read per creator · Generated for illustration

Speciality coffee · India · 10k–100k followers — Four discovery routes · 12 recent posts read per creator · Generated for illustration
Metric	Creator A	Creator B	Creator C
Followers	41,200	88,600	19,400
Median engagement	4.8%	0.9%	6.2%
Mean engagement	5.1%	14.7%	6.0%
Posts per month	11.7	1.2	8.4
Last posted	3 days ago	9 days ago	2 days ago
Fit score	87	44	81

What the shortlist concluded

▸Creator B has the biggest audience and the worst median. One post carried the average — the middle post gets under a fifth of Creator A’s engagement.
▸Creator A posts almost twelve times a month. A pinned post made a naive reading call them dormant; the recent grid says otherwise.
▸Creator C is the smallest and engages best. Ranked band-relative, so a micro account is not automatically first.
▸Two of the three have run disclosed partnerships before, which usually means they have a rate card and reply to briefs.

Illustrative figures. Real runs report only what was measured on the posts actually read.

What You Get

A ranked shortlist — Creators ordered by a fit score computed in our own code, with every component of that score shown.
Median engagement per creator — Read post by post across the recent grid, so one viral hit cannot flatter the number.
True cadence and last-active date — Measured with pinned posts excluded, which is the difference between “dormant” and “posts weekly”.
A preview when the pool looks weak — Ten real handles shown before anything is charged, so you never pay for a thin list unseen.
Found and set aside — and why — The creators that were found but dropped, with the reason — shops, dormant accounts, the wrong niche.
My creators, saved per brand — Every paid shortlist is saved under your brand, with a status and a note per creator — so brands never see each other’s lists.
A side-by-side compare tab — Two to five creators on measured data only, with unmeasured fields left honestly blank.
Brand posts split from their own — Disclosed partnerships, possible ones and organic posts separated rather than averaged together.
A public contact path — Where one exists — and scored down, not hidden, where it does not.
A first outreach message — Written from the creator’s actual recent posts, not a template with a name dropped in.
A free query check — Flags a search phrase that will return shops or dead handles before you spend anything on it.
Reach bands, labelled as estimates — What a typical post reaches. We do not quote fees, because nobody outside the negotiation can.

Output FormatOn-screen dashboard + Word document

Time to Complete~3 minutes

Best Paired WithSocial Media Auditor

More Than a Report

Where other market research tools stop, this keeps going.

Most tools hand you a PDF and walk away. TurboAgents gives you two things a static report can’t: charts you can actually use, and an analyst you can actually talk to.

Only on TurboAgents

A weak pool stops and shows you first

Discovery runs on our credits. When the pool is clearly healthy, the run carries straight on to the paid read. When it is weak — too thin, too many shops, too many dead handles — it stops and shows you ten actual handles first, and you decide whether to go on. You never pay for a bad pool unseen.

The preview, before anything is chargedscore

@northwind.brews

Speciality coffee · 41.2k · posts weekly

@thecuppingnotes

Home brewing · 19.4k · posts twice weekly

@slowpourdaily

Cafe culture · 33.8k · posts weekly

@beanandbarrel

Roastery reviews · 12.1k · posts monthly

Shown before anything is charged. Continue only if the pool looks right to you.

Measured, not guessed

A score you can actually take apart

The fit score is computed in our own code from things we measured on the posts we read — never asked of a model and never rounded up. Every component is shown, so when a creator scores 87 you can see which part earned it, and disagree with the weighting if you want to.

Fit score

@northwind.brews · 12 recent posts read

87/ 100

✓Audience reaction (median, band-relative) · 30%88

✓Niche match · 20%95

✓Size fit · 20%85

✓Recency · 15%100

✓Regularity · 10%90

–Reachability · 5%40

Only a public contact path was found, not an email — so reachability is scored down, not hidden. An area we can’t measure is dropped and its weight spread, never scored zero.

Honest by design

Ranges, because rates are not public

We will not print a fee we cannot know. Creator rates are negotiated privately and only become real after outreach, so instead of inventing a number we show the reach band a creator sits in and leave the money to your conversation. Any tool quoting you an exact price per post is guessing with a confident font.

Ranges from the posts we read≈ estimated

Typical post reach4,100 – 7,800

Typical post engagement1,980 – 3,400

Reels reach9,200 – 24,000

Bands derived from the posts we read. We do not estimate fees — nobody outside the negotiation can.

How It Compares

AI vs. an influencer platform vs. doing it from your own feed.

Influencer Finder: TurboAgents vs. Influencer platform vs. Your own feed compared
Criteria	TurboAgents	Influencer platform	Your own feed
Cost	From $29/mo, all tools	$200–800/mo	Free
See a weak pool before paying	Yes — ten real handles	No	n/a
Engagement read	Median, post by post	Usually an average	Eyeballed
Handles pinned posts correctly	Yes	Rarely	No
Separates paid posts from organic	Yes	Sometimes	No
Side-by-side comparison	2–5 creators	Yes	Tabs and a notepad
First outreach message written	Yes	Templates	You write it
Claims to spot fake followers	No — and says so	Often	No

Use Cases

→
DTC brand running its first creator campaign — Get a ranked shortlist and a first message without committing to a platform subscription that costs more than the campaign.
→
Agency pitching influencer work — Walk into the meeting with real handles, real medians and a defensible score, rather than three names off the client’s own feed.
→
Social manager with a small budget — Find the micro creators who out-engage accounts ten times their size, ranked band-relative so they are not buried under bigger names.
→
Founder who keeps getting ghosted — Reach people through a public contact path with a message that references their actual posts, which is most of why replies happen.
→
Marketer auditing a creator someone else picked — Run one handle and see whether the numbers behind the follower count hold up before the invoice is approved.
→
Brand comparing a final two or three — Put them side by side on measured data only, with the honest gaps left visibly blank instead of filled with a guess.

Frequently Asked Questions

Searching for creators runs on our credits. If the pool is clearly healthy, the paid read — each creator opened and measured — starts straight away and is charged then. If the pool looks weak, the run stops and shows you ten creators first at no charge, and you choose whether to continue. The outreach kit is a separate charge.

Instagram. We would rather do one platform on measured data than four on guesses. TikTok and YouTube are not supported today.

It opens the creator’s recent grid and reads roughly a dozen posts individually, then reports the median — the middle post. Averages are badly distorted by one viral hit; we have measured a single creator at 16.31% mean against 0.55% median. The median is the number you should be budgeting against.

No, and we will not pretend otherwise. We measure engagement honestly and show you the numbers, which is usually enough to spot an account that is not performing — but detecting purchased followers is not something public data reliably supports. Any tool claiming it does is overselling.

No. Three of the four discovery routes read a search index rather than Instagram directly, so the pool is a good sample, not a census. We say so rather than implying the list is exhaustive.

Because it can change the results by a factor of a thousand. Job titles work well in bio search — “nutritionist” returns real people — while product words return shops and resellers. Hashtag search behaves in exactly the opposite way. A built-in check flags a weak phrase before you spend anything.

Carefully, because pinned posts break the two most-used numbers. Recency is taken from the newest real post rather than whatever sits first in the grid, and cadence excludes pinned posts. Without that, a creator posting almost twelve times a month reads as dormant for nine months.

Yes. Tick two to five and the compare tab puts them together on measured data only. A “best” badge appears only where higher or lower genuinely means better — never on follower count or number of past brand deals — and engagement is ranked relative to audience band, so the smallest account does not automatically win.

It splits recent posts into disclosed partnerships, possible ones, and the creator’s own. The paid-versus-organic comparison drops the “possible” group rather than guessing. And when no labelled ads appear, we report that as “none we could see” — not as proof they have never run one.

A public contact path for each creator you tick, plus a first message written from their actual posts rather than a template with a name dropped in. It is charged separately from the search, so you only pay for the ones you actually intend to approach.

No. Creator rates are private and only become real once you have talked, so a quoted fee would be invention. You get the reach bands we measured and the money stays in your negotiation.

Yes. Every paid shortlist is saved under your brand in “My creators” — each person once, updated when you see them again, with a separate fit, status and note per brand, so two brands never mix.

Your tokens come back automatically. You are never charged for a search that could not complete.

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