Reputation management for actors and models

Reputation management for actors is the work of making sure that the record casting directors, agents, clients and fans find under your name is accurate, current and yours: the credits, the headshots, the agency listing, the old images and, increasingly, what an AI assistant says. For models the same applies to the portfolio, the agency board and every image that circulates with your face on it.

The sector has its own shape. An actor or model is hired on a face, a body of work and a reputation for being easy to work with, and almost all of that is held by other parties: a credits database, an agency, a casting platform, a photographer, a production company. You rarely control the files that carry your image. That is why this work starts with an inventory of who holds what, and why it has a protective side that most sectors do not: your likeness can be copied, leaked or synthesized without you ever taking part.

This guide follows the order of risk. It covers what casting teams and clients read, how to correct the record you do not host, what to do about old images and early work, how to respond to intimate-image abuse and sexual deepfakes, how to treat AI likeness and voice, and how to handle disputes and press. Platform and regulator rules are described only as far as the sources could be read for this guide, and each gap is stated where it occurs. The scenario is invented and uses generic parties. Nothing here is legal advice: your own counsel, your agent and your union or guild terms decide what you may do.

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What casting teams and clients read when they search an actor or model

They read in layers, and each reader stops at a different layer. A search for your name returns a credits database, agency and casting-platform listings, social accounts, image results, news and a growing number of AI-written summaries. Map who reads which layer before deciding where to spend the first week.

The table is a working model from practice, not a study. Its use is the last column: most of what costs a booking is administrative or inaccurate, not scandalous, which is why the first week is an audit of records, not publicity.

Fix the credits and profile record you do not host

The credits record is the layer you can correct fastest, and it is held by other companies. A credits database, an agency board and a casting platform each keep their own version of you, and each can be wrong in a different way: a missing credit, a credit attached to someone with a similar name, an outdated headshot, an age or height that no longer matches, a bio nobody approved.

1. List every listingSearch your name and your stage name with the words actor, model and each place you have worked. Record the address of every listing that carries your face or your credits: database, agency, casting platform, production page, photographer page.
2. Mark the owner of eachFor each listing note who can change it: you through a login, your agent, the platform's staff, or the production company. A correction goes to the owner, never around them.
3. Compare against your own master listKeep one dated document with your credits, roles, dates, representation, headshot version and approved bio. Mark every difference on the listings.
4. Correct through the official routeUse the platform's own edit or contribution route and supply the evidence it asks for, such as a contract page, call sheet or on-screen credit. The main credits database has its own help articles for corrections, but its pages could not be read for this guide, so follow its current wording.
5. Log the resultWrite the date, the request and the answer. A repeated error is much easier to escalate with a dated trail.

Send your agent the master list whenever it changes. Use one professional name everywhere, and correct a mixed-up credit with evidence that separates you from the other performer, such as an on-screen credit or a contract page. Do not ask a listing to delete a true credit because you dislike the project; accurate credits are part of the public record, and a platform has no reason to remove them.

Agency boards, casting profiles and old portfolio images

Old images are the second most common problem, and the most misunderstood. A photo from a test shoot, a former agency board, a magazine or a student project can rank in image results long after your look and your representation have changed. The question is always who holds the right to the image, because that decides the route.

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That last row matters. In many shoots the photographer owns the copyright, and the model or actor holds only the permissions the release grants. A copyright takedown is therefore often not yours to file, and filing one without standing is a mistake that can be answered with a counter-notice. Read the release first. Where the image is a pure privacy problem, such as a private photo shared without permission, the route is different and is covered below.

When an old image cannot be removed, outrank it with current, licensed images on pages you control, and give each a clear file name, caption and alt text with your name. In our experience, a handful of well-labeled current images on an owned page usually moves the visible set within weeks, depending on the search engine and how often pages are recrawled.

Old work, early images and what is manageable

Many performers have earlier work they would rather not lead their search page. The right response depends on whether the material is lawful, consensual and accurate.

For lawful material you consented to, the usual levers are the contract and context. Check whether the contract allows you to withdraw, whether a license period has ended, and whether the producer still has rights to publish. If the license has ended, write a polite request citing the end date. If not, the realistic goal is to publish better, current, accurate material beside it.

Private material that escaped its intended audience is a different case from work you were paid to appear in, and it is handled on the protective route below. The search engine's own policy page on sexual content sets what it will and will not remove, and that is a platform decision, not a right to remove published work.

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Intimate-image abuse and sexual deepfakes: act in this order

This section is protective, and it comes first in any file where it applies. If intimate images of you have been shared without your consent, or a fabricated sexual image, video or audio of you exists, you are the victim, and routes exist that do not depend on knowing who did it. The order below keeps the first day short.

1. Preserve the evidence safelyRecord the address of each page and the date you found it, and take screenshots that you keep private. Where you can, ask a trusted person or a representative to collect them, so you do not have to look at the content repeatedly.
2. Report to the platform or site that hosts itUse its intimate-image or non-consensual content report form, not a general complaint. Say the content was shared without consent, and if it is fabricated, say so.
3. Ask the search engine to remove the resultsThe Google Search help page on personal sexual content is where a removal request is filed. That page could not be re-read for this guide, so check its current categories and wording before you file, and list the address of every page.
4. Start hash matchingStopNCII.org creates a hash, a digital fingerprint, of your images or videos on your own device, and only the hash is sent. Participating platforms check for matches and may remove matching images under their policies. Keep the case number and PIN safe, because a lost pair cannot be recovered.
5. Use the legal notice route where it appliesIn the United States, the TAKE IT DOWN Act puts removal duties on covered platforms once they receive a valid request. Your counsel can confirm whether a platform is covered, what a valid request must contain and what time limit applies.
6. Tell your agent and a person you trustYou do not carry this alone. An agent can pause outreach that uses the images, and a counsellor or support organization can help with the non-search side.

Two points hold whichever route you use. Search removal affects search results only: the content can still exist and be found through links, social media or other search engines, so you must also reach the host. And StopNCII.org, per its own page, works only with the participating platforms on its partner list, not the whole internet, and the page we read did not mention synthetic or AI-generated images, so check its current scope before relying on it for a deepfake.

On the legal duty, the Federal Trade Commission's business guidance on the TAKE IT DOWN Act is the regulator's statement of what covered platforms must do. That page could not be read in this session, and neither could the bill text, so this guide gives no date, deadline, penalty or definition of a covered platform from it. Read the guidance and the statute, or ask counsel, before relying on any of those points.

Be wary of anyone who promises that content will disappear everywhere: no route removes content from every site. Our approach to leaked and intimate material is on the leak removal page.

AI likeness and voice: contracts, impersonation and fake endorsements

AI misuse of a performer takes three forms, and each has a different fix. The first is authorized use, where a production or client uses a scan, voice sample or digital replica under a contract. The second is impersonation, where a synthetic video, voice or account claims to be you, often to sell something. The third is the sexual deepfake covered above.

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Authorized use is a contract question. Before you sign, read every clause that mentions digital replica, scan, voice, synthetic, training, or perpetual or worldwide rights. Ask in writing what is being captured, for which production, for how long, and whether it can be reused. The performer unions publish their own digital replica rules, and a union or guild member should read the current wording for their agreement; the union's documents could not be read for this guide, so this guide does not summarize them. Keep a dated copy of every consent you give, and a note of anything you refused.

Impersonation is handled like any fake account or fake endorsement: report it on the platform under its impersonation or deceptive-content rule, tell your agent so that clients are not misled, and publish on your owned page a short statement of which accounts and endorsements are real. Brands and fans can check it. Do not reply to scam messages sent in your name.

When an assistant states false facts about you, remember that assistants mostly repeat what pages say about you, so the correction starts with the credits record and the owned page described above. A consistent record across listings is what an AI search reputation check tests.

Contract disputes, set conduct allegations and press

Keep a contract dispute out of public view: a thread on a social platform will outrank the agreement in search. Accurate, lawful reporting of real events is not removable, and a false allegation is a question for counsel. Never contact a complainant or journalist to ask for withdrawal, because that can be read as intimidation. Hold a short factual statement on an owned page, reviewed by counsel or your agent, and use the publisher's corrections route for a factual error. If your name is trending, a crisis desk exists for that case; see crisis management. For the page that holds your record, an owned page with your professional name, representation, current images with license notes and official accounts, see personal brand work.

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A season in practice: an invented scenario with a timeline

The scenario is invented and uses generic parties. An actor changes agents, and three weeks before an important audition finds that the former agency board still shows an old headshot and a wrong age, a credits database attributes a short film to a performer with a similar name, and a deepfake advert using the actor's voice is circulating. Assumptions: the actor has a master credits list, the former agency contract has a short tail period, the advert is on a platform with an impersonation rule.

The order is the point: the synthetic advert first because it can mislead a client within hours, the credits mix-up second because it has an owner and evidence, the old headshot last because it is slow and cosmetic.

Next step: run the audit before the next audition

Run the inventory once, from a casting director's side: your name, your stage name, image results, the credits record and an AI assistant, in a private window. Write down what is wrong, who owns it, and which of the routes above applies. Fix the listings you control the same day.

Questions people ask

Can I get a bad photo of me removed from search results?

Only if it breaks a rule. Private or non-consensual images can be removed through the search engine's policy form. A lawful, public photo usually cannot. The practical route is to replace it by publishing current, licensed images on pages you control, and to ask the photographer or former agency to take down outdated copies under the release terms.

What can I do about a fake video or voice of me?

Report it under the platform's impersonation or deceptive-content rule, keep the address and date, tell your agent and publish which endorsements are real. If it is sexual in nature, use the intimate-image routes: platform report, search removal and hash matching. Your counsel can advise on legal claims, which depend on where you and the poster are.

How do I fix someone else's credits on my profile?

Go to the owner of the listing, not around it. Send the platform's correction route the evidence that separates you from the other performer, such as an on-screen credit or contract page, and keep a dated log. Use one professional name everywhere so the mix-up does not repeat.

Will removal requests make things worse?

A calm, private request to the owner rarely does. Public demands, threats or repeated contact with a publisher or complainant can. For intimate-image abuse, reporting is the right move and the routes above are designed for it. For accurate, lawful reporting, a removal request will usually fail and can draw attention.