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GullySystem
AI for Marketing · Solutions

Shortlist creators whose followers look like your buyers, then judge each campaign on facts.

AI Influencer Marketing helps a brand shortlist creators from public profile data, compare their audience with your customers, and keep briefs and approvals in order. It then tracks what each campaign brought in. Availability, authenticity and fees need checking by a person, and the marketer makes the final choice.

What it is

Choosing a creator usually starts with a spreadsheet of names, follower counts and a gut feeling. The numbers on a profile say little about who follows it. A post that looked right on the day can bring plenty of likes and not one enquiry.

Here each creator gets a profile card built from public data and from your own sales records. The marketer sees where the audience lives, how past posts performed, and what a discount code or link actually brought in. The contract, the fee and the final choice stay with a person.

Where it goes wrong today

The problems this is meant to ease.

Shortlists start from follower counts

Big numbers mislead. A profile with many followers may reach people far from your shops, and nobody checks the audience before a fee is agreed. Followers are not buyers.

Brand fit is a gut feeling

Tone clashes surface late. A creator whose past posts sit badly beside your product is booked on a hunch, and the mismatch shows only after the post goes live.

Briefs and approvals scatter across chats

Details get lost. The agreed deliverables sit in one message, the changed date in another, and the final draft is approved by whoever happened to be online.

Results are counted in likes

Orders go unattributed. Without a code or link per creator, the owner cannot say whether a campaign sent one buyer or fifty, so the next booking is a guess. Likes pay no bills.

Usage rights and disclosures are left vague

Terms hang on a chat. How long a brand may reuse a photo, and whether a post is marked as paid, is settled after the content is already public.

Inside the module

What AI influencer marketing does.

Creator discovery

Search public profiles by niche, language and city, then rank them against the audience you describe, with the reasons shown.

Audience relevance and demographics

A creator’s follower mix is compared with your own customers by age band, city and interest, using the fields you already hold.

Engagement quality check

Sudden jumps in followers or repeated generic comments are flagged for a person to look at. A flag is a prompt to check, never a verdict.

Brand fit and campaign planning

Past posts are read against your product and tone, and a campaign plan lists creators, deliverables, dates and budget for the manager to edit.

Collaboration and content briefs

Each creator’s brief, deliverables, due dates and draft approvals sit in one record, with the post links added once they go live.

Codes and links per creator

A unique link or code ties orders, referrals and enquiries back to the post that brought them.

Rights, disclosures and approvals

Usage rights, paid-post labelling and who approved each draft are recorded with the contract, so nothing rests on a chat message.

Campaign review

After a campaign, a one-page review sets spend against orders and comments, so the next booking is argued from the record.

Where it gets used

What this looks like in a working week.

A clothing store choosing creators for a new season

The brand manager lists city and style, and the system ranks profiles with the reasons shown. The audience match against current customers by age band and city decides who is approached.

A cafe opening a second branch

Local food creators are shortlisted by area. Each gets a code for a dessert offer, and the owner later counts how many guests actually used each one.

A jeweller planning a festival campaign

Briefs, fees and post dates for eight creators sit in one tracker. Finance sees which posts were delivered before releasing any payment.

A gym running a trial-month offer

Fitness creators share a link to the sign-up page. The front desk records the source on each new member, and the review sets spend against joins.

A marketing agency reporting to a client

The account lead pulls each creator’s links, codes and orders from the client’s sales records, and shows the client a one-page review for every campaign.

Who touches it

The people who open this every day.

Brand manager

Builds the shortlist, reads the match notes and decides which creators to approach.

Influencer coordinator

Keeps briefs, deadlines and post links in order for twenty creators without a chase on every message.

Finance executive

Sees the agreed fees against the posts delivered before a payment is released.

Agency account lead

Shows a client what each creator produced, drawn from the client’s own sales records.

How it is set up

From first conversation to daily use.

  1. Define the audience and the kind of creator you want

    Describe your customers by city, age band and interest, and list the creators you already work with. This gives the system something real to compare new profiles against.

  2. Prepare customer and sales data

    Gather the customer fields you hold and the orders or enquiries with their source. Where source is missing, we set up codes and links so future results can be traced.

  3. Trial on a handful of real creators

    Run the audience match and profile cards on creators you know well. The marketer checks whether the system’s reading of each audience agrees with what they have seen.

  4. Review the output with the brand team

    The brand manager, coordinator and finance executive go through real shortlists, briefs and tracker entries. Flags that were unhelpful are removed, and approval steps are tested on a dummy campaign.

  5. Go live for one campaign

    Brief the first creators through the tracker with their codes and links. Drafts are checked before posting, and fees are released only against delivered work.

  6. Review the campaign afterwards

    Set spend against orders, enquiries and comments for each creator. The record is kept, so the next booking is argued from facts, and the process is reviewed at each campaign close.

Measuring it

How you would know it is working.

Record where you stand before it goes live, so the change is measured against your own figures.

  • Attributed enquiries are leads and orders that carry a creator’s code or link, counted for your previous campaigns or taken as zero where none were tracked.
  • Campaign reach is the number of distinct accounts that saw a creator’s posts, taken from the figures each creator shares from their own insights.
  • Cost per engagement divides the agreed fee plus product cost by reactions, comments and saves. Your last campaign’s finance records supply the starting figure.
  • Share of briefs approved on the first draft is read from the tracker once it starts, and from a sample of past campaigns before.
  • Posts delivered on the agreed date, compared with the tracker’s due dates, show how well schedules are kept before and after go-live.
Used responsibly

Where a person stays in charge.

A marketer decides who is approached

Rankings explain themselves but do not choose. A person reads the profile, the past posts and the match notes, and makes the booking.

Authenticity flags are prompts, not findings

Unusual follower patterns are shown for a person to look at. They prove nothing about anyone, and no creator is judged by the software.

Commercial terms and disclosures stay with you

Fees, usage rights, exclusivity and paid-post labelling are set in contracts your own lawyer reviews. Contracts are reviewed by your own lawyer. Rules vary between countries, and the software only prepares the records. It offers no legal opinion.

Public data is incomplete

Follower data comes from what platforms and creators make public, and availability can change without notice. Figures are checked with the creator before money is committed.

How it fits

It is one part of a system, not an island.

A module earns its place by what it passes to the next one. These are the connections we set up most often.

  • Public creator profiles
  • Order management
  • Lead management
  • Expense tracking
  • Contract management
Common questions

Questions owners ask about AI influencer marketing.

Can it prove that a creator has fake followers?

No. It can point at patterns that deserve a closer look, but it cannot prove intent. A qualified person reviews every flag, and nothing here is legal advice or a finding about anyone.

What if we have no sales records by source?

Then the audience match is thin and the results tracking is limited to what the links show. Start by giving each creator a code, and the records build up from there.

Do creators need to install anything?

No. They receive a brief and a link or code, and they post as they normally would. The tracking happens on your side.

Do advertising disclosure rules apply?

Usually, and they differ by country. Brief creators with your own lawyer’s wording. The briefs and posts are kept on file. The software gives no legal advice.

Does it find creators who are available and will agree to our fee?

No. It suggests profiles from public data. Whether a creator is free, interested and priced fairly is confirmed by your coordinator in a conversation with them.

Which platforms can it read?

Public profile and post data from the main video and photo platforms, within what each one allows. Platform limits shift, so we confirm what is readable before work begins.

Is it worth it for one or two creators a year?

Probably not. A spreadsheet, a code per creator and a conversation do the job. The tool earns its keep once several campaigns run each season and several people share the work.

Talk to us

Tell us how you handle AI influencer marketing today.

A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.

  • No obligation
  • A reply within one business day
  • Your details stay private

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