How to Use Claude for Affiliate Marketing: The Gabi Skill Guide

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Skill · .md

The skill behind this guide: Gabi - Affiliate Marketing Specialist AI Skill. Holds your programme terms, your partner pipeline and your disclosure standard, so outreach and briefs stay consistent instead of improvised - $19, one payment, yours permanently.

View the Gabi skill →

Affiliate marketing looks passive and runs like a relationship business with a compliance problem attached. An AI chat is genuinely good at three parts of it - the outreach, the terms written in plain language, and the content structure - and dangerous at two: it invents product specifications and prices, and it will happily write you a testimonial from a person who does not exist. Start with the disclosure rules, because that is the part with financial penalties attached. This is operational guidance, not legal advice; the rules that apply to you depend on your market.

Disclosure first, because it is the part with teeth

Most affiliate guides put disclosure at the bottom in one apologetic sentence. It belongs at the top, because since 2024 it is the only part of affiliate marketing where getting it wrong carries a direct financial penalty rather than a strongly worded letter.

In the US, two instruments matter. The FTC Endorsement Guides (16 CFR Part 255), substantially revised in 2023, say that a material connection between an endorser and a seller must be disclosed clearly and conspicuously. An affiliate commission is a material connection. The Guides themselves are interpretive, which is why the second instrument changed the stakes: the FTC's Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465), which took effect in October 2024, is a rule rather than guidance, and rule violations can carry civil penalties. It prohibits fake or AI-generated reviews and testimonials, buying positive or negative reviews, undisclosed insider reviews, suppressing negative reviews to create a misleading picture, and buying fake indicators of social media influence.

The phrase that does the work is clear and conspicuous, and it has a specific meaning: the disclosure has to be hard to miss. In practice that means it sits with the claim rather than at the bottom of the page, it is not hidden behind a "more" link, it is not only in a profile bio or a pinned comment, and for video it appears in the video itself - in the audio and on screen, long enough to read - not only in the description. A platform's own "paid partnership" tag is helpful and is not on its own the whole answer. The disclosure should also be in the same language as the content it applies to.

Outside the US the shape is the same and the labels differ. In the UK, the CAP Code and the ASA expect the ad to be identifiable as an ad before engagement, with "Ad" placed up front rather than buried in hashtags, and the CMA gained direct consumer-protection enforcement powers under the Digital Markets, Competition and Consumers Act. In the EU, the Unfair Commercial Practices Directive covers undisclosed commercial intent, and the Digital Services Act requires advertising on platforms to be identifiable as such.

Where the link lives What generally counts The common failure
Blog post or review article A plain line above the first affiliate link, visible without scrolling past the recommendation A disclosure in the footer, or below a table of contents nobody reaches
Long-form video Said out loud and shown on screen, near the start and again near the recommendation Description box only, or a two-second caption at the end
Short-form video On-screen text that stays up long enough to read, plus the platform tag Hashtags at the end of a long caption that is collapsed by default
Newsletter A line at the top of the section containing the link One global note in the sign-up page that subscribers never see again
Short social post "Ad" or the disclosure at the front of the post, before the fold Buried after three lines and a "see more"
Podcast Spoken, near the recommendation itself Show notes only

None of this is legal advice, and the specifics move. The operational point is that disclosure is a design decision made when you build the template, not a thing you remember to bolt on afterwards - and it is the easiest part of the whole programme to standardise across every partner.

Skill spotlight
Gabi - Affiliate Marketing Specialist AI Skill
Gabi - Affiliate Marketing Specialist AI Skill
$19this skill

Keeps your programme in one place between conversations - commission model, cookie window, brand-bidding and coupon policy, disclosure standard, and where each partner is in the pipeline - so outreach, briefs and follow-ups come out consistent instead of rewritten from memory every time.

View Gabi - Affiliate Marketing Specialist →

Two sides of the same table, with opposite incentives

Almost every generic affiliate guide reads as if brand and creator want the same thing. They do not, and knowing exactly where the interests diverge is what makes the terms worth arguing about.

The clause What the brand wants What the partner wants
Cookie window Short, so credit goes to demand the programme really created Long, so a slow consideration cycle still pays
Attribution Last click, which is cheap and easy to defend Credit for the content that started the search, which last click never gives
Brand bidding Banned, because paying commission on your own brand-name traffic is paying twice Allowed, because it converts
Coupon and extension partners Excluded or on a lower rate, because they often attach at checkout to a sale already happening Full rate
Returns and clawback Commission reversed on refunds and chargebacks Paid on the order, not on the outcome months later
Recurring versus one-off One-off, capped exposure Recurring, because the work is front-loaded

A programme stalls when these are agreed vaguely in a rush and then re-litigated per dispute. Writing them down once, in language a creator can read without a lawyer, is the single highest-leverage hour in the whole channel - and it is the exact kind of translation work an AI chat is good at.

Prompt 1 - programme terms a partner can actually read

Draft the partner-facing terms for my affiliate programme, in plain language, for a [BUSINESS TYPE] selling [PRODUCT] at [PRICE POINT] in [MARKET]. Cover, each as a short section with a heading: - commission model and rate, and whether it is one-off or recurring - what counts as a qualifying sale, and what does not - cookie window and attribution model, stated in words a non-specialist understands - brand bidding: allowed, restricted or banned, and what that means in practice - coupon, cashback and browser-extension partners: rate or exclusion - returns, refunds and chargebacks: when commission is clawed back - payment schedule, minimum payout and currency - disclosure requirements I expect from partners, with an example line they can copy - how either side ends the arrangement For each section, add one line in square brackets telling ME what decision I still have to make and what the usual trade-off is. Do not invent an industry-standard rate or cookie length - where a number is needed, write [DECIDE] and say what it depends on. This is a draft for review, not a legal document.

Recruiting partners who fit

A programme lives on partner quality, not partner count. Fifty signups who never post are worse than five who do, because they create the illusion of a channel. The pitch that gets a reply does one thing: it explains what is in it for them in the first two lines, in terms of their audience rather than your product.

The trap here is that a model, asked to personalise outreach, will invent the personalisation. It will describe a video they did not make, cite a subscriber count it does not know, and compliment a post it hallucinated. That email does more damage than a generic one, because it proves you did not look.

Prompt 2 - outreach that does not invent anything

Write partner outreach for my affiliate programme. I will paste, for each partner: their name, where they publish, and 2-4 things I have personally verified about their work (a specific piece, their audience, their format, their stance). Hard rules: - Use ONLY the facts I paste. Do not add a metric, a title, a subscriber count, a date or an opinion about their work that I did not give you. If a line needs a fact I have not supplied, write [VERIFY: what I need] and leave it. - No flattery in the opening line. Lead with the offer. - First two lines must answer: why them, and what they get. - One ask, one link, under 120 words. - Include the commission terms as a fact, not a tease. - No fake deadline, no fake scarcity, no "I have been following you for years". Output three variants per partner: direct, warm, and short. Then list, separately, every claim in the drafts that came from my input, so I can check nothing was added. PROGRAMME DETAILS: [PASTE] PARTNERS: [PASTE]

Content that converts without burning the audience

Affiliate revenue comes from content that is useful first and recommends second - the comparison, the honest review, the "best X for Y" piece. The craft overlaps heavily with ordinary content work, covered in the blog content guide.

The affiliate-specific danger is factual. Ask a model to compare five products and it will produce a clean table of prices, specifications and feature support, and some of those cells will be wrong with total confidence. In ordinary content that is embarrassing. In affiliate content it is a misleading commercial claim about a product you are paid to sell, which is a different category of problem, and it is the fastest way to lose an audience that came to you precisely for the comparison.

The working method is the same one that fixes citations elsewhere: the model supplies the structure and the questions, you supply the facts.

Prompt 3 - comparison content with the facts left to you

I am writing a "best [CATEGORY] for [SPECIFIC USE CASE]" piece for [AUDIENCE]. I will earn commission on some of the products. Step 1. Do NOT name products or state any specification, price or feature. Instead, give me: - the 6-9 comparison criteria that actually decide this purchase for THIS use case, ordered by how much they matter - for each, the question I should answer from the vendor's own page or my own testing, phrased so the answer is checkable - the three criteria buyers in this category usually discover too late Step 2. Give me an empty comparison table with those criteria as rows and [PRODUCT 1..N] as columns, every cell marked [FILL]. Step 3. Give me the article skeleton: the disclosure line at the top, the one-sentence verdict, who each option is wrong for, and where the table goes. I will fill the table myself and paste it back. Until I do, state no product facts of any kind.

When you paste the filled table back, one more instruction earns its keep: write only from the table, and if a sentence needs a fact the table does not contain, mark it rather than supplying it. That single rule is the difference between a comparison you can stand behind and one that quietly invents a warranty length.

Complementary prompt pack
Sales & Marketing Prompt Library
Sales & Marketing Prompt Library
$9this pack

The campaign work that sits around the programme - launch sequences, landing copy, partner newsletters, follow-ups that are not outreach - as ready prompts rather than a persona you load. Useful on either side of the table.

View Sales & Marketing Prompt Library →

Picking programmes worth your audience, from the creator side

The commission rate is the least important number in the decision, and it is the only one most creators look at. Three questions decide it instead. Does the product genuinely serve the people who trust you - because a bad recommendation costs more than any single payout. Does the traffic you can send actually convert, or are you sending readers into a checkout they will abandon. And can you verify the claims you are about to make on the brand's behalf, or are you relaying marketing copy you have not tested.

A useful discipline: before accepting, write the honest review you would publish if there were no commission. If it is thin, the programme is wrong for you regardless of the rate.

Prompt 4 - the pre-mortem before you take the programme

I am considering joining an affiliate programme. Here is what I know about the product, the terms, and my audience. Do not tell me whether to join. Instead: 1. List the five questions I have not asked that would most change the decision. 2. Write the strongest case AGAINST promoting this to my audience, specifically. 3. Name every claim in the brand's material that I would be repeating and could not personally verify. For each, say what I would have to do to verify it. 4. Describe the reader who would feel misled by this recommendation six months from now, and why. 5. Say plainly what disclosure this would require in my formats. Be blunt. Do not reassure me and do not balance point 2 with a case in favour. PRODUCT AND TERMS: [PASTE] MY AUDIENCE: [PASTE]

Where it fails

  • Invented product facts. Prices, specifications, feature support, warranty terms, plan limits. It states them confidently and some are wrong. Every cell in a comparison table comes from you or a source you opened.
  • Invented programme norms. Ask what a standard commission rate or cookie window is in your category and you get a plausible number with nothing behind it. Treat it as a search term.
  • Fake social proof. A model will write you a glowing testimonial from a customer who does not exist if you ask, and asking is now specifically prohibited conduct under the FTC's reviews rule. It is also the single fastest way to destroy a channel built on trust.
  • Fake personalisation. In outreach it hallucinates the detail that was supposed to prove you did your homework.
  • Jurisdiction blending. It mixes FTC, ASA and EU requirements into one imaginary global standard. Pin the market in the prompt and confirm the current rule yourself.
  • Agreeableness. Ask whether your disclosure is sufficient and you will usually be told yes. Ask instead what a regulator would object to.
  • Tracking arithmetic. Do not have it compute EPC, conversion rates or payouts. Have it build the sheet and the formulas; run the numbers yourself.

How do you install the Gabi skill?

The download is a ZIP with SKILL.md at the root of the archive, not inside a nested folder - that folder structure is the usual reason an upload fails. In the Claude desktop app, open Customize → Skills, upload the ZIP and toggle it on. Claude loads it whenever your request matches what it covers.

Skills are available on the Pro, Max, Team and Enterprise plans, with code execution enabled. On Pro and Max you turn on Code execution and file creation under Settings → Capabilities yourself; on Team and Enterprise that switch sits with an owner in organisation settings, which is why the menu is sometimes greyed out on a work account. The full walkthrough is in the skill installation guide.

In ChatGPT or Gemini there is no upload step: open SKILL.md, copy the contents, and paste them into custom instructions. You lose automatic triggering and keep the method.

Who is this for?

Brands and shops running or starting a partner programme, creators and publishers choosing what to promote, and the agency or freelance affiliate managers in between. It works in Claude, ChatGPT or any AI chat.

Affiliate work sits next to several adjacent jobs, and the catalogue keeps them separate rather than bundling them into one vague marketing assistant:

The wider sets are the sales & marketing growth skills and the AI marketing agents, and the shortlist for this whole area is in the best Claude skills for marketing. If you want the marketing function as running agents rather than one skill, the Marketing Agent Bundle is five agents for $99 instead of $195 bought separately.

In summary:

Design the disclosure into the template before you recruit anybody, write the programme terms down once in language a creator can read, and never let a model supply a product fact or a testimonial. Use it for the outreach, the terms and the structure; supply the facts yourself. For the programme engine, Gabi - Affiliate Marketing Specialist AI Skill ($19); for the campaign work around it, the Sales & Marketing Prompt Library ($9). Both work in Claude, ChatGPT and any AI chat, with a 30-day money-back guarantee. Operational guidance only, not legal advice.

Skill · .md · Works with Claude & ChatGPT

Gabi - Affiliate Marketing Specialist AI Skill

One file that holds your commission model, cookie window, brand-bidding and coupon policy, disclosure standard and partner pipeline, so recruitment, briefs and follow-ups come out consistent instead of improvised. No subscription. Yours permanently.

$19
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Frequently asked questions

Can I use Claude for affiliate marketing?+

For the outreach, the programme terms written in plain language, the content structure and the briefs, yes. Not for product facts. Ask it to compare five products and it will produce a clean table of prices, specifications and feature support with some cells confidently wrong, which in affiliate content is a misleading commercial claim about something you are paid to sell. The working method is that the model supplies the structure and the questions and you supply the facts.

How do I disclose an affiliate link properly?+

The disclosure has to be clear and conspicuous, which means hard to miss. It sits with the recommendation rather than in a footer, it is not hidden behind a more link, it is not only in a profile bio or a pinned comment, and for video it appears in the video itself, in the audio and on screen, long enough to read, not only in the description. A platform paid-partnership tag helps but is not on its own the whole answer, and the disclosure should be in the same language as the content. This is operational guidance, not legal advice; confirm the rules for your own market.

What are the FTC rules for affiliate links?+

Two instruments matter in the US. The FTC Endorsement Guides, 16 CFR Part 255, revised in 2023, say a material connection between endorser and seller must be disclosed clearly and conspicuously, and an affiliate commission is a material connection. The Rule on the Use of Consumer Reviews and Testimonials, 16 CFR Part 465, which took effect in October 2024, is a rule rather than guidance and violations can carry civil penalties. It prohibits fake or AI-generated reviews and testimonials, buying positive or negative reviews, undisclosed insider reviews, suppressing negative reviews to create a misleading picture, and buying fake indicators of social media influence.

Can I use AI to write reviews or testimonials for affiliate content?+

Writing a testimonial from a customer who does not exist is specifically prohibited conduct under the FTC reviews rule, and a model will produce one on request without objecting. It is also the fastest way to destroy a channel whose whole value is that people trust the recommendation. An AI chat can help structure and tighten a review you genuinely wrote from your own experience; it cannot supply the experience.

Where do brand and affiliate interests actually diverge?+

On six clauses. Cookie window: the brand wants it short, the partner long. Attribution: last click is cheap for the brand and never credits the content that started the search. Brand bidding: the brand usually bans it, because paying commission on its own brand-name traffic is paying twice. Coupon and browser-extension partners: often excluded or on a lower rate, because they attach at checkout to a sale already happening. Returns: the brand claws commission back on refunds. And recurring versus one-off commission. Agreeing these vaguely in a rush is what turns a programme into a series of disputes.

How do I recruit affiliate partners without sounding like spam?+

Explain what is in it for them in the first two lines, in terms of their audience rather than your product, include the commission terms as a fact rather than a tease, keep it under about 120 words with one ask and one link, and skip the flattering opening line. The specific trap with AI here is invented personalisation: asked to personalise, a model will describe a video they never made or cite a subscriber count it does not know. That does more damage than a generic email, because it proves you did not look. Instruct it to use only facts you paste and to mark anything missing as VERIFY.

How does a creator decide whether a programme is worth promoting?+

The commission rate is the least important number and the only one most people look at. Three questions decide it: does the product genuinely serve the people who trust you, does the traffic you can send actually convert, and can you verify the claims you would be repeating on the brand's behalf. A useful test is to write the honest review you would publish if there were no commission at all. If it comes out thin, the programme is wrong for you regardless of the rate.

How do I install the Gabi Affiliate Marketing skill?+

The download is a ZIP with SKILL.md at the root of the archive, not inside a nested folder. In the Claude desktop app open Customize then Skills, upload the ZIP and toggle it on. Skills are available on the Pro, Max, Team and Enterprise plans with code execution enabled: on Pro and Max you turn on Code execution and file creation under Settings then Capabilities, while on Team and Enterprise that switch sits with an owner in organisation settings. In ChatGPT or Gemini, paste the contents of SKILL.md into custom instructions instead.

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