How to Find Influencers: 7 Practical Methods | Tomako
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How to Find Influencers: A Cross-Platform Workflow
A practical cross-platform workflow for finding creators, checking fit, reducing 20 candidates to five, and preparing a specific, respectful outreach path.
To find influencers for your brand, define the campaign job first, then search in at least three places: your existing customers or community, the social platforms where the audience spends time, and either Google, a creator marketplace, or a specialist database. Do not choose creators from follower count alone. Check recent content, audience fit, engagement quality, commercial conflicts, and whether there is a legitimate business contact route.
For a small campaign, a practical target is 20 plausible candidates, five approved creators, and a reserve list. That is large enough to compare options but small enough to review properly. This guide is the total workflow view. For deeper platform-specific execution, you can jump to specialist guides where available (for example, Instagram by niche); for TikTok and YouTube, keep the depth steps here until deeper playbooks are added as needed for execution training.
The short answer: choose the right search path
You do not need every channel. Pick the routes that match the audience, content format, and campaign stage.
Review public mentions, active community members, webinar guests, and customers already publishing category content
The pool may be small
Instagram
Lifestyle, beauty, food, fitness, fashion, and visual tutorials
Search problem phrases, niche terms, locations, recent Reels, tagged posts, and seed creators
Audience data is limited without authorized insights
TikTok
Short-form demonstrations, trends, entertainment, and product education
Search the customer’s problem in natural language; inspect recent videos, comments, and related creators
Viral reach can hide weak repeatability
YouTube
Reviews, walkthroughs, comparisons, and complex products
Search problem, “how to,” review, and alternative queries; inspect both videos and channels
Research takes longer because content is deeper
LinkedIn
B2B experts, operators, consultants, and professional buyers
Search recent posts using pain-point and job-language phrases; follow the commenter and collaborator network
A popular professional is not automatically a suitable creator
Google
Cross-platform discovery and hard-to-find experts
Use site operators, exact phrases, newsletters, podcasts, speakers, and media-kit searches
Only public, indexed information appears
Marketplaces and databases
Repeatable research at scale
Run one real campaign brief, then measure qualified-shortlist yield and contactability
Coverage, data freshness, credits, and pricing vary
Key takeaways
Start with a campaign brief, not a follower threshold.
Search customer language and recurring problems, not only broad niche labels.
Inspect recent content before saving a profile.
Reduce 20 candidates to five approved creators with the same evidence card and scorecard.
Measure qualified-shortlist yield and time per approved creator—not profiles exported.
Write a specific reason to contact each creator before looking for their email.
Table of contents
Write a one-page search brief
Find influencers across seven practical routes
Capture evidence while you search
Run the 20-to-5 shortlist sprint
Find a legitimate contact route
Move from discovery to collaboration
Use Tomako after the lead is found
Diagnose common search failures
Step 1: write a one-page influencer search brief
Search results become noisy when the team describes only a category: “fitness creators,” “SaaS influencers,” or “people who talk about skincare.” A useful brief describes the job the creator must do.
Copy this before opening a platform:
text
Product and campaign:
Target customer:
Market and language:
Campaign job:
Required content format:
Priority platform:
Creator knowledge or experience:
Audience size range, if relevant:
Expected deliverables:
Compensation model and budget range:
Usage-rights requirement:
Timing:
Must-have signals:
Disqualifiers:
Approval owner:
A worked example
text
Product: Browser-based competitor-ad research tool.
Target customer: Hands-on ecommerce marketers in the United States.
Campaign job: Teach a repeatable competitor-ad workflow and drive qualified trials.
Format: YouTube walkthrough, TikTok tutorial, or detailed LinkedIn post with screen recording.
Creator: Publishes original paid-social or competitive-research tutorials.
Must have: Relevant content in the past 90 days, thoughtful audience questions, and a public business contact route.
Disqualifiers: Reposts news without analysis, makes unverifiable performance claims, or has an active exclusivity conflict.
Notice what is missing: “micro-influencer with a 5% engagement rate.” Creator size and engagement can matter, but neither explains the campaign job.
Step 2: how to find influencers across seven routes
Use at least three routes for a normal campaign. Add more when the niche is small, the market is local, or the product requires specialist knowledge. This is a broad guide by design; when a route becomes important, keep a deeper version of that route in your editorial playbook so the team can standardize execution by platform.
1. Start with customers, followers, and existing community
This is the first place I would look because the relationship or product affinity already exists. Review only information that is public or that your organization is authorized to use.
Search for:
customers who already publish useful category content;
people who tag or mention the brand publicly;
active community members who explain the problem well;
webinar guests, event speakers, newsletter contributors, and support advocates;
creators followed by several ideal customers;
employees or partners with relevant expertise, if your disclosure rules allow it.
The test is not “Do they like us?” It is “Can they credibly help the target audience understand or act on this campaign?” A customer who posts beautiful unrelated travel photos is not necessarily a fit for a B2B tutorial.
Record the public source of the signal. Do not move private customer data into an outreach list simply because it is available internally.
2. Find influencers on Instagram
Instagram research works better when you search content, not just profile bios. Start with three query groups:
Problem phrases:sensitive skin routine, small apartment workout, Shopify ad audit.
Do not treat one viral Reel as proof. Review roughly 9–12 recent posts when possible and note whether the topic, quality, and audience conversation repeat.
3. Find influencers on TikTok
On TikTok, search the question a customer would type or say. Broad labels such as fitness influencer often return famous or heavily optimized accounts. Problem-led searches expose educators and practitioners.
For a meal-planning app, for example, try:
meal prep for night shift;
cheap high protein lunch;
meal planning for ADHD;
weekly grocery reset;
what I eat working 12 hour shifts.
For each result:
Watch the full video rather than judging the thumbnail.
Open the creator’s recent posts and check whether the subject repeats.
Read comments for real questions, corrections, and purchase intent.
Note typical views across several posts, not the largest view count.
Check whether sponsored content still fits the creator’s normal style.
Follow related sounds, search suggestions, collaborators, and high-quality commenters to find the next candidates.
TikTok’s current creator marketplace or creator-search tools can add first-party discovery when they are available to your account and market. Access and interface details change, so verify the current workflow in TikTok’s official business product before documenting it for your team. For a deeper TikTok-only process, keep a separate route checklist (search hypothesis, creative pattern tracing, and sponsor-fit checks) so this article remains a practical starter map rather than a replacement for channel SOPs.
4. Find influencers on YouTube
YouTube is useful when the product requires explanation, comparison, or demonstrated expertise. Search for the content you would want the creator to make:
[problem] tutorial;
[product category] review;
[competitor] alternatives;
[workflow] walkthrough;
[job role] tools;
[product category] mistakes.
Use the upload-date filter to find current voices, then review both the video and the channel. A smaller channel with three strong recent tutorials may be more useful than a large general channel that mentioned the topic once.
Check:
whether the creator explains trade-offs instead of reading feature lists;
the quality of questions in the comments;
how naturally sponsored segments are integrated;
typical views across the last 8–12 comparable videos;
whether the channel serves the target market and language;
business contact information in the About page, description, website, or management link.
Eligible creators and brands may also have access to YouTube’s Creator Partnerships. Treat that as one route, not a replacement for content review.
5. Find B2B influencers on LinkedIn
For B2B campaigns, search Posts before People. Use the exact language of the operational problem:
tasks keep slipping;
pipeline attribution;
agency capacity planning;
creative testing workflow;
forecast accuracy;
customer onboarding handoff.
Open recent posts and look for people who explain the problem with examples, answer questions in comments, and publish consistently. Then expand through:
thoughtful commenters with their own relevant posts;
co-authors, podcast guests, webinar speakers, and newsletter writers;
people repeatedly cited by your target customers;
employees of adjacent, non-competing products.
Do not confuse executive visibility with creator fit. A high-engagement post may come from a senior operator who never accepts commercial work. Check content format, independence, contactability, and likely conflict before adding the person to outreach.
6. Use Google to search across platforms
Google is especially useful for B2B experts, local creators, newsletters, podcasts, and public business contacts.
Change one variable at a time: topic, audience, location, format, or platform. Save the query with each candidate so another teammate can reproduce the route.
Search engines show only public, indexed information. They can reveal personal sites, conference pages, guest articles, and media kits, but they are not a complete creator database. Check your privacy and data-use obligations first: if you are serving EU, California, or equivalent markets, only use data and contact points collected in ways that match your approved workflow and local compliance requirements.
7. Use a marketplace or creator database when search must scale
Manual research is useful for learning the language of a niche. It becomes slow when you need hundreds of profiles, audience-location filters, structured exports, repeatable team review, or reliable business contact fields.
Three practical routes are:
Platform-owned marketplaces: useful when the campaign is concentrated on one network and first-party access is available.
Commerce marketplaces: useful when recruitment connects directly to a store or affiliate workflow. Shopify merchants, for example, can review the current Shopify Collabs creator-recruiting options.
Specialist databases: useful for cross-platform search, audience estimates, contact sources, saved lists, and exports. Coverage and freshness differ, so test before buying.
Do not evaluate a database by its largest advertised profile count. Run the same brief in each option and measure:
time to 20 plausible candidates;
percentage that pass manual review;
percentage with a current, appropriately sourced contact route;
Do not save a handle without the reason it matched. Use one evidence card for every candidate:
text
Creator name and stable ID:
Primary platform and URL:
Market and language:
How the creator was found:
Three relevant recent posts:
Audience-fit evidence:
Engagement-quality note:
Typical views or reach when observable:
Recent brand partnerships:
Potential conflicts:
Public or opt-in contact source:
Likely deliverable fit:
Unknowns to ask:
Checked by and date:
The card should take minutes, not an hour. Its purpose is to prevent the shortlist from becoming a collection of unexplained bookmarks.
What good evidence looks like
“Posts about skincare” is weak. A useful note is specific:
Published three fragrance-free skincare routines in the past six weeks. Recent comments include detailed questions about irritation and product layering from the target audience. A tutorial fits better than a generic unboxing.
That note helps the reviewer approve the creator, helps the outreach owner write a relevant message, and helps the brief owner choose the right activation.
Step 4: run a 20-to-5 shortlist sprint
The objective is not to collect 20 names. It is to learn whether your search method can produce five creators that a reviewer would approve.
Pass 1: collect 20 plausible candidates
Use at least three discovery routes. Limit this pass to obvious brief fit: correct topic, suitable content format, relevant market, recent activity, and no immediate disqualifier.
Track how long it takes. If the first 20 require several hours, the brief may be too narrow—or your search route may be wrong.
Pass 2: score the same evidence
Use 0–3 for each dimension and set the weights before reviewing candidates.
Dimension
Weight
What to examine
Audience fit
22%
Market, language, likely role or interest, and reachable niche
Content relevance
18%
Recent depth on the campaign problem, not bio keywords
Content quality
12%
Clarity, originality, format, production, and judgment
Credibility
14%
Transparent claims, real discussion, stable identity, and no material red flags
Commercial fit
16%
Deliverable quality, rate model, rights, timing, and competing commitments
Sponsorship style fit
6%
Whether past sponsored work feels naturally embedded in creator voice
Operational readiness
12%
Legitimate contact path and ability to complete the workflow
Calculate the weighted result as:
text
sum(dimension score / 3 × weight)
Keep disqualifiers outside the score. A high total should never cancel a serious brand-safety, legal, conflict, or usage-rights issue.
Calibrate scoring before scaling
Before scoring the full pool, ask two reviewers to score the same five candidates independently. If their totals differ by more than 15 points—or one reviewer sees a disqualifier the other missed—do not proceed yet.
Recalibrate the scoring rules using concrete examples, then retest the same five candidates:
High score example: consistent educational content, natural sponsored mentions, strong audience questions, transparent delivery terms, and strong fit with campaign language.
Low score example: frequent repost-heavy content, repetitive sponsored segments, unclear claims, unclear contact path, or a style that creates audience distrust.
For each mismatch, answer this sequence:
Is the dimension definition too vague (for example, content quality)?
Are reviewers using different thresholds for a shared example?
Did one reviewer miss a disqualifier that should be a hard reject?
If it is definition clarity, add high/low anchors to the dimension and re-score. If it is reviewer bias, run a short calibration with 2–3 worked examples first.
Pass 3: approve five and keep a reserve list
For a small pilot, use three tiers:
Priority: five creators with strong evidence and no unresolved material issue.
Reserve: relevant creators who need one answer, may be outside budget, or duplicate a priority archetype.
Research later: promising accounts without enough current evidence.
For reserve efficiency, keep each reserve entry in the same evidence system as the active shortlist. Add two fields: pendingChecks (for example, budget, rights, timing) and activationCondition (seasonal relevance or campaign phase). In future iterations, this prevents a rebuild from scratch.
Contactability rate: approved creators with a credible contact route ÷ approved creators.
Time per approved creator: total research time ÷ approved creators.
Reviewer agreement: candidates receiving the same pass, reserve, or reject decision from both reviewers.
These metrics make free manual search and paid tools comparable. A database that exports 2,000 profiles but produces two usable candidates may be more expensive than careful native research.
Step 5: find a legitimate business contact
Write the reason for contact before finding the email:
text
We are contacting [creator] because [specific recent content or audience fit]
connects to [campaign job], and we can offer [clear relevant collaboration].
If the sentence becomes “We love your content,” the evidence is not strong enough.
Then use this order:
Check the profile for a business email, contact button, or management address.
Open the bio link for a personal site, Linktree, Beacons page, media kit, or contact form.
Check the creator’s other public profiles for a business-inquiries route.
Search Google for "Creator Name" "media kit" or "Creator Name" "business inquiries".
Use the opt-in contact route supplied by a creator marketplace or management agency.
If none exists, send a short platform message asking for the correct business contact. Do not guess a private email.
Preserve where the contact came from and when it was checked. Do not scrape private data or repurpose customer information for outreach without authority. If your workflow includes EU/California users, also confirm your storage, consent, and CRM pass-through path supports local privacy requirements before moving beyond draft outreach.
Step 6: move from discovery to collaboration
A qualified creator still needs a clear offer. Before contacting anyone, decide:
the content format and expected deliverables;
the customer problem or story the content should address;
the creative freedom the creator will have;
compensation and payment timing;
production and publication dates;
organic, paid-media, raw-file, and exclusivity rights;
review and approval responsibilities;
disclosure requirements.
A practical first message is specific but not overloaded:
Hi Maya—I found your recent series on diagnosing paid-social creative fatigue, especially the post comparing three hook patterns. We are preparing a small campaign for a competitor-ad research tool used by ecommerce marketers. A screen-recorded workflow could fit your audience better than a standard feature post. Would you be open to discussing one YouTube walkthrough or LinkedIn tutorial for October? I can send the brief, budget range, timeline, and rights options if it sounds relevant.
This answers four questions: Why me? Why this product? What content? What happens next?
When scope, compensation, approvals, and rights enter the conversation, use the full guide to negotiating with influencers.
For campaigns reaching US consumers, the FTC says material connections—including payment, free products, employment, or personal relationships—must be clearly disclosed. Agree on disclosure before production and review the FTC’s Disclosures 101 guidance. This is practical guidance, not legal advice.
Where Tomako fits after the influencer is found
Tomako is most useful after a promising creator has been discovered. Based on the current public workflow, it helps teams preserve a KOC opportunity, prepare outreach materials, and turn contact, follow-up, and launch work into ToDos.
A practical handoff looks like this:
Input
creator profile and platform;
the evidence card and reason for selection;
audience hypothesis and campaign job;
proposed content angle;
restrictions, rights, and approval requirements.
Action in Tomako
save the creator as a KOC opportunity;
keep the shortlist reason attached to that opportunity;
prepare outreach material grounded in the creator’s recent content;
convert research, contact, follow-up, and launch work into visible ToDos.
Output
a creator opportunity another teammate can understand;
outreach direction tied to real content;
an assigned next action;
a campaign trail that is not scattered across search tabs, spreadsheets, and chat.
Tomako does not replace a specialist universal influencer database or platform-owned audience analytics in this workflow. Use the right search source first, then use Tomako to prevent good leads from dying during the handoff.
For each chosen creator, attach a sponsorship style fit note to avoid campaigns forcing creators into unnatural ad delivery styles.
Fitness, beauty, or marketing produces generic results. Add the customer problem, content format, audience identity, location, and disqualifiers.
Starting with follower count
Follower count suggests potential scale. It does not show whether the audience cares about the problem or whether the creator can deliver the required content.
Trusting one viral post
One success may be an outlier. Review a consistent group of recent, comparable posts and read the audience response.
Treating engagement as a single number
Read the comments. Specific questions and relevant discussion often tell you more than a large total of generic reactions. If authenticity signals concern you, use the fake-influencer audit workflow before outreach.
Exporting before reviewing
Large lists create a false sense of progress. Save only candidates with a reason, evidence, and next action.
Contacting before defining the offer
“Want to collaborate?” forces the creator to do the strategic work. Share enough information for them to evaluate fit, without sending a complete contract in the first message.
Losing the shortlist reason
When researchers hand over only profile URLs, the outreach owner repeats the research or sends generic messages. Preserve the evidence and proposed angle.
Final recommendation
The most reliable way to find influencers is to combine three kinds of evidence: people already close to the brand, creators found through content-led platform searches, and candidates from Google, marketplaces, or databases. Start with one brief, collect 20 plausible people, and approve five using the same evidence and scoring rules.
The best discovery method is not the one that returns the most profiles. It is the one that produces relevant, contactable creators at a reasonable research cost—and gives the next teammate enough context to make a credible offer.
Ricky works across influencer marketing, SEO/GEO, and AI-enabled growth workflows, with experience in prompt engineering and development. Her focus goes beyond visibility: connecting research, content production, search presence, and execution into a workflow a team can actually use. On the Tomako Blog, she writes about reusable research methods, content and search strategy, and how AI can help teams move concrete growth work forward.
Ricky
