Customize ChatGPT Personality with Warmth, Enthusiasm, and Emojis

I’ve spent enough hours inside ChatGPT to know that the “what” of an answer is only half the story. The how—tone, structure, and even tiny details like emoji frequency—often decides whether you trust the output, share it with your team, or quietly rewrite it from scratch.

OpenAI has announced a new set of Personalization controls that let you adjust specific characteristics in ChatGPT, including warmth, enthusiasm, and emoji use. The announcement points users to their Personalization settings, where these traits can be tuned with simple controls rather than fiddly prompts. If you work in marketing, sales support, or operations (the world we live in at Marketing-Ekspercki), this is the sort of “small setting” that can save you real time and keep your outputs consistent.

Below, I’ll walk you through what the settings do in practice, how they change day-to-day workflows, and how you can fold them into content and automation work—especially if you build processes in make.com or n8n.

What OpenAI announced (and why it matters in real work)

OpenAI shared that you can now adjust specific characteristics in ChatGPT—explicitly naming warmth, enthusiasm, and emoji use—from Personalization settings. That detail matters because it signals a shift from “prompt it until it sounds right” to “set it once, then rely on it”.

In my own work, I see two immediate benefits:

• Consistency across sessions: your outputs keep the same voice without you repeating instructions every time.
• Fewer editorial loops: you spend less time removing buzziness, toning down cheerfulness, or stripping emojis from client-facing copy.

If you manage a small team, you’ll appreciate another angle: personal tone preferences often collide. One person likes friendly, upbeat drafts; another wants crisp, minimal, and purely functional. Being able to set those preferences per user (or per workspace, depending on how the product rolls out) can reduce friction.

Where to find the new controls in ChatGPT

Based on the announcement, the settings appear under your Personalization area. Product menus can shift over time, but the typical path looks like this:

• Open ChatGPT
• Go to your profile/settings area
• Open Personalization
• Adjust the available characteristics (such as warmth, enthusiasm, and emoji use)

I recommend you treat this like you’d treat notification settings on your phone: spend five minutes to set it up properly and you’ll stop paying the “attention tax” every single day.

The four traits people care about most (and how they show up in outputs)

The announcement explicitly calls out warmth, enthusiasm, and emoji use. In practice, these traits influence more than mood; they influence structure, length, and even whether the model “sounds” confident or cautious.

Warmth: from clinical to human

Warmth usually expresses itself through:

• How often ChatGPT uses reassuring phrasing (“That’s a fair concern…”, “I hear you…”)
• How much it foregrounds empathy versus facts
• Whether it “softens” directives (gentler language) or stays blunt and direct

When I write internal SOPs, I keep warmth relatively low. I want colleagues to copy/paste steps into tools like make.com without wading through polite padding. Yet when I draft customer support macros or onboarding emails, I nudge warmth up because it reduces the chance that the message reads as cold or dismissive.

My practical tip: If you produce both internal docs and customer-facing content, set warmth for your default to “professional-neutral”, then override per task using a short instruction. That way the baseline stays stable.

Enthusiasm: energy is useful… until it isn’t

Enthusiasm affects:

• Exclamation frequency and “pep” in the writing
• How often the model frames things as exciting, promising, or urgent
• Whether the copy sounds like a calm analyst or an eager presenter

I’ve seen enthusiasm become a genuine liability in B2B contexts. If you’re writing a proposal for a CFO, too much pep can read as evasive. On the other hand, for social posts, webinar invites, or event landing pages, low enthusiasm can kill momentum.

In our agency work, I typically keep enthusiasm lower for:

• Reports and performance summaries
• Security or compliance communications
• Technical briefs for automation handover

And I’ll push it higher for:

• Campaign announcements
• Recruitment ads and employer branding
• Community updates and creator-style content

Emoji use: tiny symbols, big signalling

Emoji use looks trivial until you operate across channels. One emoji in an internal Slack message can feel friendly. The same emoji in a legal-ish contract note can feel… unwise.

Emoji settings influence:

• Professional tone in email sequences
• Brand voice alignment (some brands use emojis naturally; others never do)
• International readability (not all emoji usage translates culturally)

My personal rule is simple: I set emoji use low by default. When I need it—say, for a casual LinkedIn post that’s meant to feel less stiff—I ask for it explicitly in the prompt or move the slider (if I’m doing a batch of that content).

Formatting preferences (headings, lists, and structure)

While the announcement highlights warmth/enthusiasm/emojis, people also talk about controlling structural habits such as headings and lists. Even if the UI names change, the underlying need stays the same: you want outputs to match the way you consume information.

If you read quickly, lists and headings help. If you’re writing narrative thought-leadership (the kind that sounds more like a Sunday paper column than a slide deck), heavy list formatting can feel clunky.

In my case:

• I prefer more structure for SOPs, checklists, and QA notes.
• I prefer lighter structure for long-form brand stories and opinion essays.

Why this matters for marketing teams, not just casual users

If you only use ChatGPT sporadically, personality controls feel like a nice extra. If you use it daily, it’s closer to a workflow setting—like choosing a keyboard layout or your default calendar view.

Brand voice consistency across writers and channels

Marketing teams often lose hours to “voice smoothing”. One draft sounds too cheerful, another too stiff. You can solve some of that with brand guidelines, but guidelines don’t automatically shape every paragraph you produce at speed.

With personality settings, you can:

• Start from a more consistent baseline tone
• Reduce time spent on rewrites that are purely stylistic
• Improve handoffs between team members (fewer surprises in tone)

I still recommend keeping a brand voice document. Settings won’t replace it. They will, however, reduce the distance between “first draft” and “on-brand draft”.

Sales enablement: less “marketing sparkle”, more usable assets

Sales teams tend to need assets that are:

• Clear
• Specific
• Easy to reuse in calls and emails

If ChatGPT produces overly enthusiastic, emoji-heavy text, reps often won’t use it. They’ll say it feels cringe. I’ve heard that exact word in more than one sales org, and honestly, they’ve got a point.

Dial enthusiasm down, keep warmth moderate, and you’ll often get sales copy that reads like a capable human wrote it under time pressure—which is precisely what you want.

Support and success: empathy on demand

Customer support lives and dies by tone. You can follow the rules and still lose a customer if the message reads like a robot.

Warmth settings help here because they shape micro-choices:

• A short acknowledgement of frustration
• A calmer phrasing of boundaries (“We can’t do X, but we can do Y”)
• A more considerate set of next steps

That said, I prefer to keep emojis low even in support, unless your brand is explicitly playful. Empathy doesn’t require confetti icons.

How I’d set these traits for common business scenarios

Below are practical starting points you can copy. You’ll adjust them to match your brand and your audience, but they’ll get you out of the weeds.

1) B2B reporting and analytics

• Warmth: low to medium
• Enthusiasm: low
• Emojis: off
• Formatting: higher (headings, bullet points, tables where useful)

This setup stops ChatGPT from sounding like it’s pitching you your own numbers. You get a calmer readout that you can paste into a client email or a slide deck with minimal edits.

2) LinkedIn thought leadership

• Warmth: medium
• Enthusiasm: medium
• Emojis: low (or medium if your personal brand uses them)
• Formatting: medium (short paragraphs, occasional lists)

I like to keep LinkedIn professional, but not stiff. A touch of warmth helps, and moderate enthusiasm keeps it from reading like a legal disclaimer.

3) Cold outreach emails (B2B)

• Warmth: medium
• Enthusiasm: low to medium
• Emojis: off
• Formatting: low (short lines, simple structure)

If you do outbound, you already know the enemy: sounding “salesy”. High enthusiasm absolutely pushes you into that territory.

4) Onboarding sequences and nurture emails

• Warmth: medium to high
• Enthusiasm: medium
• Emojis: low (test this; some audiences like it)
• Formatting: medium (clear steps, skim-friendly sections)

Onboarding should feel like a helpful guide, not a stern manual. Warmth does real work here.

Using Personalization with make.com and n8n: getting consistent AI output in automations

In Marketing-Ekspercki, we build AI-assisted automations in make.com and n8n, so I naturally look at this update through that lens. When you automate content generation, tone consistency becomes a systems problem, not a writing problem.

Here’s the tricky bit: Personalization settings are usually tied to a user’s ChatGPT product experience. Your automation may call an API where those UI settings don’t automatically apply. You’ll want to confirm how your integration behaves in your own environment.

Still, the concept is powerful, and you can replicate it even in automations by building a “style layer” into your prompts.

A practical “style layer” you can store in your automation

I often store a short style block in a variable (or a data store) and prepend it to every prompt. Even if you use UI personalization for manual work, this keeps your automated outputs steady.

• Warmth: “Keep tone calm and respectful. Use friendly phrasing sparingly.”
• Enthusiasm: “Avoid hype. No exclamation marks unless required.”
• Emojis: “Do not use emojis.”
• Formatting: “Use headings and bullet points where it improves readability.”

If you later decide your brand should sound more personable, you change one variable and every downstream scenario follows suit. That’s a quiet win.

Example automation: turning meeting notes into a client recap email

Let’s say you run a process in n8n:

• Trigger: new meeting notes in Notion or Google Docs
• Step: summarise action items and decisions with an LLM
• Step: generate a client recap email
• Step: post tasks into a project board and send the email

Without consistent tone controls, the email might come out overly upbeat one day and stiff the next, depending on the notes and the model’s “mood”. With a stable style layer (mirroring warmth/enthusiasm/emoji preferences), you’ll get a recap that sounds like your team wrote it—every time.

Example automation: content briefs that don’t read like marketing parody

If you generate content briefs automatically (topic clusters, outlines, FAQs, meta descriptions), enthusiasm can creep in and make everything sound like a pitch. I keep enthusiasm lower and ask for precise deliverables:

• Target audience
• Search intent
• Outline with H2/H3 structure
• Internal linking suggestions
• Do/Don’t voice notes

Then I send the brief to a writer or directly into a content pipeline. It saves time, and it stops the “rah-rah” tone from infecting the whole strategy doc.

SEO angle: how personality settings can indirectly improve search performance

Personality controls don’t directly change rankings, but they can influence the things that do:

• Readability: better structure and calmer tone can reduce bounce and improve engagement.
• Consistency: a consistent voice encourages returning readers and repeat visits.
• Editorial speed: faster polishing means you publish more reliably.

I’ve noticed that when AI drafts come out too bubbly or stuffed with filler, editors cut heavily. That editing time is expensive. If settings reduce the mismatch, you publish sooner and with fewer compromises.

Keywords and phrasing to consider (without stuffing)

If you want this topic to pull organic traffic, you’ll likely see searches around:

• ChatGPT personalization settings
• customize ChatGPT personality
• ChatGPT warmth enthusiasm emoji settings
• how to change ChatGPT tone
• ChatGPT emoji control

Use these naturally in headings and early paragraphs, then let the article breathe. I’d rather you rank for a smaller set of intent-matched phrases than get stuck with an unreadable keyword soup.

How this compares to older ways of personalising ChatGPT

For a while, most of us handled personalisation with:

• Repeating the same tone prompt in every new chat
• Saving prompt snippets in a notes app
• Using “custom instruction”-style fields (where available) to set preferences

Those methods work, but they’re fiddly. Sliders or dedicated settings reduce cognitive load. You stop thinking about “prompt hygiene” and start focusing on the work.

From my perspective, that’s the real direction of travel: AI becomes a more dependable writing partner when you can set defaults the same way you set defaults in any professional tool.

Practical tips to get the best results (without over-tuning)

Keep your defaults conservative

If you crank warmth and enthusiasm all the way up, you’ll probably regret it when you switch from casual tasks to serious ones. I keep my baseline fairly neutral and then I dial up friendliness only when it suits the channel.

Use one “house style” note for your team

If you collaborate, write one short internal note that says how you want ChatGPT to sound for shared work. For example:

• “We write in clear British English for client-facing content.”
• “We avoid emojis in proposals and reports.”
• “We prefer short paragraphs and concrete examples.”

This helps because even with personal settings, people will still prompt differently. A shared note keeps you closer together.

Audit outputs by channel

I suggest a quick audit once you set your preferences:

• Generate a draft client email
• Generate a blog intro
• Generate a technical checklist

If all three come out usable with minimal edits, you’ve probably set a sensible baseline.

Governance and brand safety: what you should watch

Personalisation is brilliant until it creates inconsistency across a brand. If you run multiple brands, or you manage a team that publishes at scale, keep an eye on:

• Voice drift: individuals may tune settings to their taste, not the brand’s
• Channel mismatch: emojis in a formal channel can undermine trust
• Compliance: warm tone should never imply guarantees or promises you can’t legally make

What I do in practice: I treat tone as part of QA. We check facts, claims, and compliance, and we also check “does this sound like us?” These new controls can reduce errors, but they don’t remove the need for a final human pass.

Suggested “starter presets” you can try today

You’ll obviously adjust to taste, but here are three quick presets I’d recommend you test.

Preset A: Professional Operations

• Warmth: low
• Enthusiasm: low
• Emojis: off
• Formatting: high

Use this for SOPs, automation documentation, handovers, and internal notes.

Preset B: Polished Client Services

• Warmth: medium
• Enthusiasm: low to medium
• Emojis: off
• Formatting: medium

Use this for recap emails, proposals, discovery summaries, and onboarding content.

Preset C: Social and Community

• Warmth: medium to high
• Enthusiasm: medium to high
• Emojis: low to medium
• Formatting: low to medium

Use this for posts where you want a human, approachable voice.

How I’d introduce this to a team without creating chaos

If you manage people, you’ll want a simple rollout so everyone doesn’t go off and create their own “tone universe”. I’d do it like this:

• Step 1: Define two or three approved tone profiles (like the presets above).
• Step 2: Ask each team member to pick one as their default for shared work.
• Step 3: Keep personal experimentation for private tasks, not client deliverables.
• Step 4: Add a QA checklist item: “Tone matches channel and brand.”

It’s simple, and it respects the fact that people write differently while still protecting your output quality.

What you can do next

If you use ChatGPT regularly, open your Personalization settings and adjust warmth, enthusiasm, and emoji use to match the work you do most often. I’d start conservative, then tweak after a day or two.

If you run AI automations in make.com or n8n, mirror those preferences by storing a short style layer in your scenarios. That way your automated messages stay consistent even when you generate content at scale.

When you’ve done that, you’ll feel the difference in a very unglamorous way: fewer rewrites, fewer “please make it sound less salesy” comments, and fewer moments where you think, “Why is this draft so chirpy today?” That’s the sort of improvement I’ll take any day of the week.