learn-ai-marketing-with-phoebe / Builder session 2 of 10
Learn AI + Marketing with Phoebe · Builder track · Session 2 of 10

Positioning & messaging: stop talking to everyone

Every channel you build later stands on this session. You will define who Cadence is really for, the job it does for them, and a message that lands - then drive a live simulator that shows message-market fit climb as you sharpen the ICP, pain, offer, and channel. The lesson underneath: a message aimed at everyone reaches no one, and no bigger model saves a fuzzy target.

🟡 Builder track Practitioners: brand · product marketing · growth ChatGPT or Claude 45 min
0-3 · Welcome 3-17 · Positioning that lands 17-42 · Simulator + build-along 42-45 · Q&A
Part 0

Why positioning is the campaign's foundation

Content, SEO, ads, email, social - every session after this one is just a channel carrying a message. Get the message wrong and you scale noise; get it right and every channel compounds. AI makes producing messages nearly free, which makes choosing the right one the entire job. Tonight you build Cadence's positioning, then feel exactly what sharpening it does in the simulator.

Live - presented in session Self-study - read after class ★ Try it now prompt Official sources covered
★ What you walk out with today Cadence's ICP and value proposition for both the solo and Teams motions, hands-on time with the message-market-fit simulator, three tested positioning variants, and a reusable positioning prompt you will feed every later session.
Part 1 · covers Harvard DCE segmentation + CXL positioning

Positioning that lands 6 min live

A strong message is not clever wording - it is the right five ingredients, in order: a specific person, the job they are trying to do, the value you create, the proof, and a clear offer. AI can draft the words in seconds; only you can choose the target. Anatomy first, words second.

1 · Specific ICP (who exactly) 2 · Job to be done (their goal) 3 · Value you create 4 · Proof (why believe you) 5 · Clear offer + CTA = one message that lands with a real person AI drafts ingredients 2-5. You choose ingredient 1 - the target.
🔍 Click to zoom - five ingredients stack into one message; you own the target, AI drafts the rest
LiveICP and job-to-be-done - the two you must not outsource3 min▶

AI will happily write for "everyone". That is the failure mode. Your judgement picks the ICP (the specific person whose problem you solve best) and the job to be done (what they are hiring your product to accomplish). Get those two right and the value, proof, and offer almost write themselves.

  • ICP is a person, not a demographic. "Consultants in back-to-back client calls" beats "professionals aged 25-45".
  • Job-to-be-done is their goal, not your feature. "Never lose a decision between meetings" beats "automatic transcription".
  • Cadence has two ICPs, two motions. The solo professional (self-serve, B2C-style) and the team lead who buys for a group (B2B). Same product, two messages - and this session builds both.
★ Try it now - pressure-test a targetHere is a rough audience: [your ICP]. Ask me five sharp questions that would tell us whether this is a specific, reachable ICP or a vague "everyone". Then suggest a tighter version.
Real world

The rewrite that 3x'd reply rates. A team's outbound said "we help businesses work smarter". Reframed to one ICP and one job - "we help consultancies stop losing billable decisions in back-to-back calls" - the same product, same channel, tripled replies. Nothing changed but the target. That is positioning doing the heavy lifting AI cannot.

✗ Generic, no target "We help businesses work smarter." Baseline reply rate. ✓ Specific, one real ICP "We help consultancies stop losing billable decisions." Reply rate: 3x higher. Same product, same channel - only the target changed, and replies tripled.
🔍 Click to zoom - nothing changed but the target, and it tripled replies
Self-studyValue, proof, offer - where AI earns its keep2 min read▶

Once the target is set, AI is genuinely great at drafting the rest - fast, in volume, in your voice:

IngredientWhat good looks like
ValueThe outcome in their words ("walk out of every meeting with decisions captured")
ProofReal evidence you supply - a number, a customer, a demo. Never invented.
OfferThe concrete next step: free solo plan, book a team demo, start a trial.

Rail one lives here: the proof must be real. AI drafts the sentence; you supply and verify the evidence.

Part 2 · the message-market-fit simulator

Drive it yourself: watch the message land ★ 8 min · everyone plays

Here is the whole lesson in one control panel. The AI is drafting Cadence's positioning message. Every lever you turn on sharpens it - define the ICP, add the pain and proof, clarify the offer, fit the channel, apply the brand voice. Watch message-market fit climb and flip to the scorecard to see how many of the three audience segments actually resonate. Notice what never moves the needle: a bigger model.

What the simulator is teaching Start with everything off: the draft is generic "we help everyone" slop that reaches no one. Define the ICP and it suddenly speaks to a person. Add pain, offer, channel, and voice and it becomes a message you would ship - and all three segments light up. Sharpening did that, not a fancier model.
Demo 1 of 2

Build Cadence's positioning - both motions ★ 12 min · everyone builds

Now do it for real, in your chat tool, for both Cadence audiences. This is the positioning you will carry into every later session.

Give the AI the five-ingredient frame and Cadence's real facts (from b1's brief). Ask it to draft positioning for the solo professional first.

Then ask for the team lead (B2B) version - same product, different job (managing a team's decisions, not just their own). Notice how value and offer shift.

Add the guardrail: "use only the proof I gave you; mark any claim you cannot support with [need source]". Keep it honest (rail one).

Pressure-test each with the simulator's lens: is the ICP specific, the pain real, the offer clear? Tighten until both would score high.

Save both as your Cadence positioning doc. b3-b9 all pull from it.

★ The positioning promptDraft positioning for Cadence (AI note-taker) using this frame, for the audience below. Facts (use ONLY these): notes + decisions + action items drafted the moment a call ends; free solo plan; paid Teams plan with shared workspaces. Audience: [Solo professional in back-to-back meetings] then repeat for [Team lead buying for a group]. Return: (1) one-sentence ICP, (2) the job to be done, (3) value in their words, (4) proof - use only the facts above, (5) a clear offer + CTA. Mark any claim I did not give you as [need source]. Keep it plain and specific, no hype.
Demo 2 of 2

Three variants, one clear winner ★ 8 min · build your own

AI's real superpower in positioning is cheap variety. Generate options, then judge them with the message-market-fit lens instead of by gut.

Ask for three distinct positioning angles for the solo motion - e.g. speed, never-lose-a-decision, and look-prepared. Same facts, different emphasis.

Three angles for the solo motion, same three judging questions Speed - Sharpest ICP? - Clearest pain? - Concrete offer? Never lose a decision - Sharpest ICP? - Clearest pain? - Concrete offer? Look prepared - Sharpest ICP? - Clearest pain? - Concrete offer? Same facts, different emphasis - judge by ICP, pain and offer, not by which one you like best.
🔍 Click to zoom - judge variants by the lens, not by gut feel

Score each against the simulator's levers: which has the sharpest ICP, clearest pain, most concrete offer? Rank them.

Have the AI combine the strongest ICP + pain + offer into one refined message, then edit it into your brand voice.

Write one sentence on WHY the winner won. That reasoning is what you will reuse to judge content, ads, and emails later.

Real world

Variety is the point. A PMM used to labour over one positioning statement for days. Now they generate ten in minutes and spend the saved time on the judgement that matters - which target, which job, which proof. The work moved from writing to deciding. That is AI leverage done right.

Homework

Try it yourself - this week ◐ 30-45 min total

Source material

Official sources covered

Taught from public AI-marketing curricula. Certificates and paid tooling stay official. This session covers:

✓Harvard DCE - AI segmentation & personalizationPart 1 · ICP and audience definition with AI
✓CXL - positioning & messaging for AI go-to-marketPart 1 + demos · the five-ingredient message
◐2026 AI-marketing guides - message testingDemo 2 · generate-and-judge variants
Check yourself

Three questions before you go 🎯 ◐ 90 seconds

1 · In the simulator, what makes the message finally resonate with all three segments?

Fit comes from sharpening the message, not from model size. A message aimed at everyone reaches no one.

2 · Which two positioning ingredients should you never outsource to AI?

AI drafts value, proof, and offer well - but you must choose the specific target and the job. Those decisions are the leverage.

3 · What is AI's real superpower in positioning?

AI makes options nearly free, moving your work from writing to deciding. It never invents proof - that is rail one.

Builder session 2 cheat sheet · pin this

The 5 ingredientsspecific ICP → job to be done → value → proof → clear offer. Together = one message that lands.
Own the targetyou choose the ICP and the job; AI drafts value, proof, and offer. Never outsource the target.
Everyone = no onea message aimed at everyone reaches no one. The simulator proves it: no ICP, no resonance.
Fit beats model sizemessage-market fit climbs by sharpening, not by a bigger model. Levers move the score.
AI's superpowercheap variety - generate many, judge with the fit lens, combine the best, edit to voice.
Cadence has two ICPssolo professional (self-serve) + team lead (B2B). Same product, two messages - build both.
Rail one lives hereproof must be real. AI drafts the sentence; you supply and verify the evidence.
Next sessionb3 - the content engine: turn this positioning into on-brand long-form at speed.