VOLUME11 · AI MARKETING KIT
A prompt kit for your business

Stop chatting with AI.
Put it to work.

Most people type one line into a chatbot and get a generic answer back. This kit turns AI into a marketing analyst that knows your business and reads your real numbers — with copy-ready prompts and exactly how to pull the data each one needs.

HABIT 01

Give it context first

Paste the Business Context Block below at the start of every session. AI can only be as specific as what you hand it.

HABIT 02

Feed it real data

For anything analytical, export the actual numbers and paste them in. Each prompt tells you precisely where to get them.

Step 1 Build this once

Your Business Context Block

Fill this in one time, save it somewhere handy, and paste it at the top of any prompt in this kit. It’s the single biggest difference between generic output and advice that actually fits your business.

Context block
Here is context about my business. Use it for everything that follows.

- Business name: [NAME]
- What we sell: [PRODUCT/SERVICE]
- Who we serve (ideal customer): [INDUSTRY, ROLE, LOCATION, COMPANY SIZE]
- Our service area: [LOCAL / REGIONAL / NATIONAL — list areas]
- Price point / deal size: [ROUGH RANGE]
- What makes us different: [2-3 REAL DIFFERENTIATORS]
- Main competitors: [2-4 NAMES]
- Our goals this quarter: [MORE LEADS / HIGHER AOV / RETENTION]
- Tone of voice: [E.G. FRIENDLY EXPERT, NO JARGON]

Ask me clarifying questions if anything is unclear before you begin.
Step 2 The big one

The Analytics Playbook

This is where most businesses leave the most value on the table — using AI to make a report, but never to interpret their own numbers. For each source: pull the data, then paste it into the matching prompt.

One rule for every analytics prompt. Add this line so the AI stays honest: “Base everything only on the data I paste. Do not invent numbers. If something can’t be determined from this data, say so and tell me what additional data would answer it.”

Website performance GA4 · 2A

How to get the data
  1. Open GA4 → Reports in the left menu.
  2. Go to Engagement → Pages and screens (content) or Acquisition → Traffic acquisition (sources).
  3. Set the date range top-right. Toggle Compare and pick the previous period to spot trends.
  4. Click the share icon (top right) → Download file → CSV. Do both reports.
GA4 interpreter
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below is a GA4 export comparing [THIS PERIOD] to [PREVIOUS PERIOD].
Don't invent numbers; base everything on this data.

1. What's the headline story — what genuinely changed and by how much?
2. Flag the 3 biggest anomalies (good or bad) I might miss in a dashboard.
3. Which pages or traffic sources are over- or under-performing?
4. Give me 3 specific, testable next actions, ranked by impact and effort.

DATA:
[PASTE CSV]

What people search to find you Search Console · 2B

How to get the data
  1. Open Search Console → Performance → Search results.
  2. Turn on all four toggles: Clicks, Impressions, CTR, Position.
  3. Set the range (last 3 months is a good default).
  4. Click Export (top right) → CSV. The Queries and Pages tabs are the useful ones.
Search Console interpreter
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below is Search Console data: the queries bringing people to my site,
with clicks, impressions, CTR, and average position.
Base everything only on this data.

1. Where do I get lots of impressions but few clicks (low CTR)? These are
   title/meta-description opportunities — suggest rewrites.
2. Which queries rank on page 2 (position 11-20) and are close to page 1?
   These are my highest-leverage content targets.
3. What search intent shows up that I'm NOT covering with a dedicated page?
   List content I should create.

DATA:
[PASTE EXPORT]

Paid search Google Ads · 2C

How to get the data
  1. Open a campaign → Insights and reports → Search terms (the actual phrases people typed).
  2. Set the date range, then click the download icon above the table → CSV.
  3. Optionally download the Campaigns table too for spend and conversion totals.
Google Ads interpreter
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below is my Google Ads search terms report (actual queries that triggered
my ads) plus campaign performance. Base everything only on this data.

1. Which search terms waste spend — irrelevant to what I sell — that I
   should add as negative keywords? List them.
2. Which converting terms reveal intent I should build a dedicated ad group
   or landing page around?
3. Where is money going to high-cost, low/zero-conversion terms?
4. Plain English: is this account healthy, and what are the top 3 changes
   to make this week?

DATA:
[PASTE CSV]

Social ads Meta Ads · 2D

How to get the data
  1. Open Ads Manager → set your date range.
  2. Use the Columns dropdown → Performance, and add Cost per Result, CTR, Frequency.
  3. Click Reports → Export (or the export icon) → CSV/Excel.
  4. Tip: add a Breakdown by age, placement, or platform for a richer read.
Meta Ads interpreter
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below is my Meta Ads performance export. Base everything only on this data.

1. Which ads/ad sets are winning, and which are quietly draining budget?
2. Is ad fatigue showing up (rising frequency, falling CTR)? Where?
3. If placements/audiences are broken out, where is performance strongest?
4. Give me a prioritized list of what to pause, scale, and test next.

DATA:
[PASTE EXPORT]

Email marketing Mailchimp / Klaviyo · 2E

How to get the data

In your email platform, open campaign or flow reports and export the performance table (opens, clicks, CTR, unsubscribes by campaign). Most platforms have an Export/Download button on the reports screen.

Email interpreter
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below is my email campaign performance over [TIME PERIOD].
Base everything only on this data.

1. Which subject lines / campaigns drove the best opens and clicks — what
   do the winners have in common?
2. Where am I seeing high unsubscribes, and what might be causing it?
3. What 3 experiments (subject lines, send times, segments) should I run next?

DATA:
[PASTE EXPORT]
Step 3 Beyond the numbers

The overlooked plays

The work that rarely gets done because it’s too tedious — which is exactly where AI earns its keep.

Voice-of-customer mining Copy in their words

Get the data: copy 20–50 real reviews (Google, Yelp, industry sites), support tickets, or open-ended survey answers into a plain text file.

Voice-of-customer
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below are real customer reviews and messages. Analyze the actual language
my customers use — not marketing-speak.

1. What exact words and phrases do they use for their problem and the result
   they wanted?
2. Top 3 recurring praises and top 3 recurring complaints?
3. Write 5 headlines and 3 short ad descriptions using THEIR words, not mine.

DATA:
[PASTE REVIEWS]

Ad creative at volume The idea was never the bottleneck

RSA generator
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Write 15 headlines (max 30 characters) and 4 descriptions (max 90 characters)
for a Google responsive search ad promoting [PRODUCT/OFFER].
Vary the angle: some lead with the problem, some with the result, some with a
guarantee or differentiator. No clichés. Number them so I can test them.

SEO content gaps Cluster by intent

Keyword clustering
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Here is a list of keywords I'm tracking: [PASTE LIST]

1. Group them into topic clusters by search intent.
2. For each cluster, suggest one pillar page and 3-5 supporting articles.
3. Note which clusters look like buyer intent vs. research intent.

Messy kickoff → clean brief 5 minutes, not an hour

Brief builder
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Below are my rough notes from a project/client kickoff. Turn them into a clean
creative brief with: objective, audience, key message, deliverables, tone,
success metrics, and open questions to resolve.

NOTES:
[PASTE MESSY NOTES]

Compliance & brand pre-flight Catch it before a human does

Copy pre-flight
[PASTE YOUR BUSINESS CONTEXT BLOCK]

Review the copy below against these rules: [PASTE BRAND OR
COMPLIANCE RULES — e.g. no performance guarantees, required disclaimers].
Flag every line that may violate a rule, explain why, and suggest a compliant
rewrite. Be conservative — flag anything questionable.

COPY:
[PASTE COPY]
The takeaway

The work that never got done.

Most people use AI to make existing work faster. The bigger unlock is using it on the work that never got done at all because it was too tedious — reading every review, interpreting the data every week, writing the 30th ad variant. That’s where the advantage actually compounds.