Claude for Marketing: The Complete 2026 Guide with 50 Battle-Tested Prompts (by Carlos Betancur Gálvez)

If you’re reading this, you’ve probably already heard of Claude. Maybe you tried it a couple of times, were impressed, and then went back to your usual tools without really knowing how to integrate it into your day-to-day marketing work.

This guide solves that.

I’m Carlos Betancur Gálvez. I’ve been doing digital marketing for 15+ years and, since Anthropic launched Claude, I’ve turned it into the “co-pilot” of practically everything we do at btodigital — from strategy to copywriting, from data analysis to customer service. I’ve built WhatsApp agents that scale service operations, RAG systems that answer using a client’s knowledge base, and automation flows that cut 60–80% of the time spent on repetitive tasks.

Here you’ll get, with no reservations, what I’ve learned: the mental model, the 50 prompts I use most, and the costly mistakes I’ve already made so you don’t have to.

Why Claude (and not ChatGPT or another AI)?

I’m not going to start a model war. They each have a place. But for marketing specifically, Claude has three advantages that matter:

1. Sustained reasoning: Claude maintains coherence across long conversations better than any model I’ve tested. If you work with complex briefs, this is gold.
2. Natural tone: when it writes in Spanish or English, it doesn’t feel “translated.” The copy it produces reads human. That matters when output goes in front of clients.
3. Responsible alignment: Claude is built by Anthropic with an explicit safety focus. For medical, financial or regulated marketing, this is critical — Claude will refuse to invent medical data or guarantee impossible outcomes, and that protects you legally.

That said, the tool doesn’t make the master. A bad prompt to Claude gives worse results than a good prompt to GPT-3.5. What follows is how to write prompts that work.

The mental model: three principles before any prompt

Before the 50 prompts, you need to internalize three principles. Without them, the prompts won’t deliver.

1. Claude knows nothing about your client — you do

This is the most common trap. You ask Claude “make a Facebook ad for my dental clinic” and it gives you something generic that fits any dentist on the planet. That’s not Claude failing, it’s you not giving it context.

A productive prompt has at minimum four layers:

• Who the client is (profile, age, city, income)
• What problem hurts them
• What you’ve tried before that worked or didn’t
• What restriction/regulation applies

Below you’ll see how this translates into concrete prompts.

2. Iterate, don’t expect a miracle on first try

A lot of people ask Claude something, don’t like the output, and say “this AI is useless.” What actually happened is you didn’t give feedback. Claude responds extraordinarily well to iteration:

“This is close, but the tone is too formal. Make it warmer, like talking to a friend. Keep the data but cut the jargon.”

That second iteration usually closes 80% of the gap. The third leaves it at a publishable level.

3. Verify the data. Always.

Claude can be wrong about figures, dates and citations. Especially if you ask for specific data without giving it a source. Golden rule: if a number is going in front of a client, prospect or publication, review it manually. Claude is excellent at synthesizing, terrible at memorizing exact facts.

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1. Strategy and planning

This is where Claude shines. It turns scattered ideas into coherent plans and helps you see what you’re missing.

1.1 Deep competitive analysis

When a new client comes in, the first thing is mapping what the competition does. Claude can’t browse the web, but if you give it the data, it synthesizes brilliantly.

Prompt #1 — Competitive audit

Act as a senior marketing consultant with 15 years in [INDUSTRY].
Below is information on 3 direct competitors of my client in [CITY/COUNTRY]:
[paste URLs, service descriptions, value propositions].

My client is [DESCRIPTION] and their problem is [PROBLEM].

Return:
1. A comparison matrix with: positioning, strengths, weaknesses, gaps.
2. 3 strategic gaps my client can exploit TODAY.
3. 1 counterintuitive move no competitor is making.

Be brutal and specific. Don't tell me "they should improve SEO." Tell me exactly what.

This prompt changed how we onboard. What used to take 4 hours in a spreadsheet now comes out in 20 minutes with better quality.

1.2 Buyer personas that actually serve

Prompt #2 — Actionable buyer persona

Build a detailed buyer persona for [PRODUCT/SERVICE] in [COUNTRY].

I already know the basic demographics: [age, gender, income].

What I want is what NEVER appears in templates:
- The 3 frustrations they tell NO ONE
- The fear that paralyzes them at the moment of buying
- The exact phrase they would use searching on Google
- The 2 trade-offs they're willing to accept
- The real objection (not the one they say out loud)

Close with: "The most profitable insight about this buyer is..."

1.3 90-day editorial roadmap

Prompt #3 — SEO + funnel-aligned editorial calendar

Generate a 90-day editorial calendar for my client [DESCRIPTION].

Constraints:
- 2 pieces per week (1 pillar of 2000 words, 1 short of 800)
- Each pillar must answer a keyword with monthly searches > 500 in [COUNTRY]
- 40% TOFU (educational), 40% MOFU (consideration), 20% BOFU (decision)
- Each piece must have 3 internal link opportunities to another piece in the calendar

Return a table with: week, title, primary keyword, search intent, funnel stage,
and 3 suggested internal links.

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2. SEO and organic content

Here Claude replaces tools that cost thousands of dollars a year, if you know how to ask.

2.1 Conversational keyword research

Prompt #4 — Keyword expansion

My main keyword is "[KEYWORD]". I want to attack it for [COUNTRY].

Give me:
1. 20 long-tail keywords with clear commercial intent
2. 15 long-tail keywords with informational intent
3. 10 question-based keywords (starting with how, what, when, why)
4. 5 low-competition keywords a small competitor can win in 3 months

For each keyword, indicate search intent in 1 word.

2.2 Content brief that drives traffic

Prompt #5 — Full SEO brief

I'm going to write an article on "[TOPIC]" targeting the keyword "[KEYWORD]".

Build the brief with:
- Title tag (60 characters) optimized for CTR
- Meta description (155 characters) with clear value proposition
- H1 (not identical to title)
- H2 / H3 structure (minimum 8 sections)
- Word count target based on typical SERP
- 5 semantically related entities to include
- 3 "People Also Ask" questions to answer
- 1 section no competitor is covering

Then give me the first paragraph in a warm but authoritative tone.

2.3 On-page optimization of an existing article

Prompt #6 — Article audit

Below is an article. Audit it under these criteria:

[PASTE THE FULL ARTICLE]

Return:
1. Current title vs proposed (more clickable)
2. Current meta description vs proposed
3. Estimated keyword density and whether it's right or stuffed
4. 5 H2s missing per search intent
5. 3 internal links that should be added and exactly where
6. The weak section that's burying the ranking

Be direct. Don't congratulate me.

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3. Copy that converts

This is probably the area where you’ll save the most time. But heads up: Claude copy without human editing = mediocre copy. Always edit.

3.1 Meta and Google ads

Prompt #7 — Meta ads with variants

Product: [DESCRIPTION]
Audience: [SPECIFIC PROFILE]
Offer: [WHAT YOU OFFER]
Platform restrictions: Meta Ads (no absolute claims, no sensitive targeting)
Tone: [specify the tone]

Give me 5 Facebook/Instagram ads with this structure:
- Hook (line 1): max 7 words, must stop the scroll
- Body (3-4 lines): connect pain to solution
- CTA: specific, not "more info"

Variants to test across the 5:
A. Curiosity
B. FOMO
C. Social proof
D. Counterintuitive
E. Specific-numeric (with real number)

3.2 Google Search ads

Prompt #8 — Google Ads RSA

I'm creating a responsive search ad for "[KEYWORD]".

Give me:
- 15 headlines (30 chars each) hitting different triggers
- 4 descriptions (90 chars each) covering benefit, social proof, urgency,
  and differentiator

Restrictions: no superlatives banned by Google. Each headline must be able
to stand alone (because of dynamic rotation).

3.3 Email that gets opened

Prompt #9 — Email marketing 5-email series

List: [DESCRIPTION OF LEADS — how they came in, what they downloaded]
Product to sell: [WHAT]
Current entry point: they downloaded my [LEAD MAGNET]

Design a 5-email sequence (day 0, 2, 4, 7, 10):
1. Welcome + lead magnet delivery + set expectation
2. Success case (the most impressive)
3. Pure educational (resolve the most common fear)
4. Soft offer (show product, no pressure)
5. Closed offer with real scarcity (not fake)

Per email: subject, preheader, body (300-400 words max), single CTA.

3.4 High-conversion landing page

Prompt #10 — Landing structure

Product: [DESCRIPTION]
Traffic arriving: [WHERE FROM: Google Ads, organic, social...]
Main promise: [WHAT YOU PROMISE]

Structure a landing in this order:
1. H1 (clear, benefit + transformation)
2. Sub-H1 (specific, what you get)
3. Visible CTA above the fold
4. 3 pain points your prospect is feeling NOW
5. How you solve it (3 pillars)
6. 3 real testimonials (leave placeholders where they go)
7. Handling the 5 most common objections in FAQ format
8. Final CTA with micro-promise (e.g., "no commitment")

Tone: [TONE]. Total length: 600-800 words.

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4. Data analysis and interpretation

Here Claude is the perfect replacement for the junior analyst you don’t have budget to hire.

4.1 Reading GA4

Prompt #11 — GA4 reading

Below are Google Analytics 4 metrics for the last 30 days vs the prior 30:

[Paste data: users, sessions, conversions, bounce rate, top pages, top sources]

I need:
1. 3 important findings that would slip past a quick glance
2. The most likely hypothesis explaining the main change
3. 3 concrete actions to take this week
4. The metric I should STOP looking at because it's vanity

Don't congratulate me on anything. Tell me what's broken and why.

4.2 Google Ads campaign audit

Prompt #12 — Ads audit

Below is my Google Ads account report:

[Paste: campaigns, ad groups, keywords with CTR, CPC, conversion, cost,
top 20 search terms]

Return:
1. The 3 keywords wasting most budget
2. The 5 critical negative keywords that are missing
3. The ad group with worst Quality Score and why
4. The change with the most impact if I could only do one

Pretend the client is sitting across the table and needs an answer today.

4.3 Automatic executive summary

Prompt #13 — Monthly CEO report

Summarize the month's marketing performance in "report-for-CEO" format:

Data: [PASTE NUMBERS]

Rules:
- Max 1 page
- Only 3 important KPIs (not 15)
- The good, the bad, the next
- Zero jargon (no CTR, ROAS, CAC without explanation)
- Close with ONE question the CEO should answer to make the next decision

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5. Customer service and reviews

5.1 Negative review response

Prompt #14 — Negative review response

A client left this 1-star Google review:

"[PASTE REVIEW]"

Context: [explain what really happened, no sugarcoating]

Write a public response that:
- Acknowledges what really happened (without admitting things that didn't)
- Doesn't reveal patient/client information
- Demonstrates how much we care to the READER of the review (not the writer)
- Closes with a direct channel to resolve

Max 80 words. Tone: professional, empathetic, not defensive.

5.2 WhatsApp templates for lead nurturing

Prompt #15 — Differentiated WhatsApp messages

I produce WhatsApp messages for 3 funnel moments:

A. Cold lead who downloaded a lead magnet 24h ago
B. Warm lead who asked for a quote but didn't reply in 3 days
C. Existing client to up-sell

Per case:
- Initial message (max 4 lines, zero "Hi good morning hope you're well...")
- Open question that invites reply
- Exit if no reply after 48h (single message, no insisting more)

Tone: warm but professional. Like a consultant who respects the other person's time.

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6. Advanced use cases (where Claude becomes a real game-changer)

This separates those who use Claude as “prettier ChatGPT” from those who turn it into a real competitive advantage.

6.1 RAG: Claude connected to YOUR knowledge base

RAG (Retrieval-Augmented Generation) means giving Claude access to specific information from your company so it answers using that — not using what it remembers from training.

Real example: a client of ours had 200 documents of medical procedures. We built a system where Claude answers internal staff questions using only those documents. We cut average information lookup time from 12 minutes to 8 seconds.

You don’t need a big technical team. The popular options are:

• Claude with Files API (simplest — upload documents and Claude uses them)
• Vertex AI with embeddings (Google Cloud, better for scale)
• Pinecone + Claude (when you need advanced vector search)

6.2 Agents that take action

An agent is Claude with the ability to do things — not just respond. It can check your calendar, send emails, create tasks in Asana, or post on social media. The piece that enables this is called MCP (Model Context Protocol) — an open standard Anthropic created to connect Claude to any external system.

Cases where I apply this with real clients:

• Beta Bot (WhatsApp agent for btodigital): 24/7 answers questions, qualifies leads and books calls with me if the lead passes the filter.
• Andercol Premium: agent that classifies products in their catalog and adapts them for each distributor in under 30 seconds.
• Almaluna QA: bot that evaluates the quality of every sales conversation with objective metrics, in batches of 200 conversations every night.

6.3 Forward Deployment: when Claude works for you, not with you

This is the model Anthropic implemented internally and that we’re bringing to clients in Latin America. The idea: instead of an assistant you ask things, the agent takes initiative within a specific domain and only consults you for critical decisions.

Concrete example: an agent that every Monday at 8am reviews all Google Ads campaigns, identifies the 3 most urgent, writes a summary, makes the adjustments that are in the operational manual (obvious pauses, minor bid adjustments), and leaves you to decide only what can’t be automated.

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7. Costly mistakes I’ve already made (so you don’t repeat them)

Mistake 1: Pasting sensitive data without thinking

I once pasted (to a non-Claude model) a brief with sensitive client data. Claude has strict privacy policies in its enterprise API, but the consumer version isn’t right for confidential data. Rule: sensitive info only goes to Claude via API with your business account and no training on your data.

Mistake 2: Accepting the first version

If you love the first thing it produces, you didn’t love it, you got surprised. Pass it through two more iterations before publishing. The third version is almost always better than the first, never the reverse.

Mistake 3: Asking for “creativity” without constraints

Saying “be creative” produces worse results than giving specific constraints. Human creativity is the same: constraints are fuel.

Mistake 4: Not verifying dates and figures

Claude can mix data from 2022 with 2024 without warning. For any number or date going in a public piece, verify against the source.

Mistake 5: Using Claude for emotional work

If a client just had a crisis and needs an empathetic call, don’t send them an email “drafted by Claude.” AI is excellent for tasks, terrible for human bonds. Know the difference.

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8. When NOT to use Claude

To stay honest with you: there are three situations where Claude isn’t the answer.

1. Real-time data. Claude doesn’t browse the web or read your live database (without a specific setup). For up-to-date prices, stock or today’s data, use the source system.
2. Legal or medical decisions. Claude can guide you but doesn’t replace a lawyer or doctor. In regulated marketing (health, finance, legal) your role is to validate.
3. When the “what” isn’t clear. If you’re not clear on the goal, Claude won’t give it to you. AI amplifies existing clarity, doesn’t create clarity where it doesn’t exist.

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9. The next level: autonomous agents in marketing

What’s coming in the next 12-18 months isn’t prettier chatbots. It’s autonomous agents that operate complete processes.

A Google Ads agent that pauses keywords, adjusts bids and reallocates budget without you touching it daily. An email marketing agent that segments, writes and sends based on individual behavior. An SEO agent that detects opportunities, writes briefs, assigns to writers and measures the result.

This is not science fiction: we’re already implementing this with select clients. But it’s not about “replacing the team” — it’s about your team no longer doing the boring work and concentrating on the strategic, creative and human.

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Frequently asked questions

How much does it cost to use Claude for marketing?

Claude’s personal account (Pro) is USD 20/month and works perfectly for 90% of cases. For companies with multiple users or privacy needs, the Team version is around USD 30/month per user. If you’re going to build an agent or RAG, API cost starts at a few dollars/month for light use, scaling with volume.

Does Claude replace my marketing team?

No. What it replaces is the most boring and repetitive work of your team. What it amplifies is creativity, strategic thinking and the capacity to execute projects that were previously unthinkable. Teams that use Claude well do 3-5x more in the same time.

How do I start if I’ve never used AI in marketing?

Start with one repetitive task you do every week. For example: writing the weekly email to leads. Spend two weeks iterating until Claude does it at the level you want. Then expand. Don’t try to “implement AI” as a monumental project — that’s a great trap that ends in paralysis.

Does Claude work well in English and Spanish?

Yes, and much better than most models. Especially in Spanish from Colombia, Mexico and Spain. If you want a specific Latin American tone, give it 3-4 examples of how you write and it will replicate.

Is Claude better than GPT?

For marketing, in my experience: yes, on long reasoning tasks and copy with natural tone. GPT-4 remains competitive on other fronts. What matters isn’t the model, but what question you ask and how you evaluate the result.

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Your next step

If this article resonated but you feel you don’t know where to start, that’s exactly where most of my clients were 2 years ago. The difference between those who capitalize on this wave and those who watch it pass is not technical. It’s decision.

If you want to talk for 30 minutes about how I’d apply this to your specific business, message me on WhatsApp. I’ll tell you honestly if it makes sense, and if not, I’ll tell you what does.

To go deeper, download my free Digital Marketing book for free or read the rest of the blog — there are 50+ articles on AI, marketing and digital strategy.

— Carlos