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Kieran Flanagan

Kieran Flanagan

LinkedIn Content Strategy & Writing Style

Marketing (CMO, SVP) | All things AI | Sequoia Scout | Advisor

Ireland
41 Viral ScoreView on LinkedIn

7 people tracking this creator on ViralBrain

Warm Analysis

Kieran Flanagan positions himself as a high-agency marketing practitioner who bridges the gap between executive strategy and hands-on technical execution. His content strategy centers on the transition from "delegation" to "AI mode," where domain expertise is amplified by the ability to build custom agentic workflows and prototype software independently. He is notable for his rejection of "AI slop"—generic, low-value automated output—advocating instead for a craft-based approach to AI where leaders stay deep in the details of data and code. The most compelling intersection in his work is the fusion of CMO-level growth strategy with "vibe coding," demonstrating how modern marketers must evolve into solo software orchestrators to maintain a competitive advantage in a post-search landscape.

Performance Overview

Followers

101.7K

Connections

10.7K

Avg. Engagement

323

Engagement Rate

Posts/Week

2.5

Viral Score

41

Posts Analyzed

3

Top Posts by Engagement

If you're going to use ChatGPT to write your newspaper articles, at the very least, edit the output before copying and pasting. Welcome to the era of AI slop. Where the human gets lazier and lazier!…

LinkedIn post image: If you're going to use ChatGPT to write your newspaper articles, at the very least, edit the output before copying and p
2.0K2854434 viral
AI11 months ago
View on LinkedIn

We're going to need new metrics to define what 'success' is in b2b marketing. The number one question I get asked by marketers about AI isn't on Agents, or Prompting; it's "How do I show the value of…

LinkedIn post image: We're going to need new metrics to define what 'success' is in b2b marketing.
8271232515 viral
Marketing11 months ago
View on LinkedIn

As an introvert using AI, I can confirm this is accurate. AI allows you to be way more autonomous. It digests all your comms, is able to surface blockers across teams, pulls data, gives you insights…

LinkedIn post image: As an introvert using AI, I can confirm this is accurate.
699631911 viral
AI11 months ago
View on LinkedIn

Here’s what marketers should be prioritizing in 2026, but most won’t 1. Create Your Internal AI Team: Stop working alone. Build three AI assistants: - Data Strategist: Upload data, get back incredib…

494722710 viral
AI Marketing10 months ago
View on LinkedIn

I've said it many times: the best marketing teams will become more engineer-led over time. Great example from Ramp - 'Vibe Growth Marketing Manager'. What's in the role - The ability for someone to…

LinkedIn post image: I've said it many times: the best marketing teams will become more engineer-led over time. Great example from Ramp - 'Vi
35677148 viral
Marketing11 months ago
View on LinkedIn

Marketing teams have switched from growing branded content channels to the personal channels of their exec teams. We used to have content CMS's for our branded content channels, like the blog. I've…

LinkedIn post image: Marketing teams have switched from growing branded content channels to the personal channels of their exec teams.
2397156 viral
Marketing10 months ago
View on LinkedIn

Posting Patterns & Frequency

2.5 posts/week

Posts / Week

3.1 days

Days Between Posts

3

Total Posts Analyzed

MEDIUM

Posting Frequency

Timezone: Europe/Dublin

Best Performing Days

Mid-week weekdays (Wednesday–Thursday) for deeper strategic piecesEarly- to mid-week generally for thought-leadership frameworks

Best Performing Times To Post

Early afternoon (around 14:00 local time)Mid-afternoon (14:00–16:00 Europe/Dublin) for high-comment posts

Topics & Content Focus

Primary Topics

AI-native marketing systems and workflows (marketer + AI assistants as a new team structure)Full-stack / prototyper marketer who can design, code, and ship assets end-to-endAI-augmented revenue operations: lead capture, qualification, and sales enablementCustomer intelligence and research powered by AI (customer twins, vocabulary engines, insight extraction)Creative vs. measurement tension in modern B2B marketing planning

Secondary Themes

Personalised AI apps as an unfair advantage for operators with domain expertisePractical implementation of frontier AI tools (Replit, Claude Code, Gemini, Veo, GPT images, etc.)Future-of-work for marketers (solo marketer + AI vs traditional teams and briefs)Internal tooling and dashboards that turn data into action rather than just reportingLightweight personal experimentation with AI (infographics, visuals) as social proof and relatability

Industry Focus

B2B SaaS marketing and growthRevenue-focused marketing teams (marketing + sales alignment)Digital-first go-to-market teams using AIData-informed but creative-led marketing orgs

Content Categories

Strategic thought leadership on AI-era marketingTactical playbooks and step-by-step frameworksOpinion pieces on marketing culture, planning, and measurementProductivity and workflow design with AI agentsPersonal experiments / behind-the-scenes with AI tools

Performance Insights

0%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Comprehensive AI-enabled marketing operating systems (3-part or multi-part frameworks)Future-oriented planning content (e.g., 'what to prioritize in 2026') tied to concrete tacticsAI assistants as specific roles (Data Strategist, Chief of Staff, Content Strategist) within a marketer’s stack

Virality Signals

Posts that package ideas into named roles or constructs (e.g., 'AI Customer Twin', 'Customer Vocabulary Engine') are highly shareableList-based or 3-pillar frameworks that feel like templates for how to run a marketing org drive above-average sharesContrarian / tension-driven takes (e.g., measurement vs creativity) encourage thoughtful comments and discussionPractical tool lists paired with clear outcomes (e.g., Replit + Claude Code + specific outputs) increase saves and shares

Structure & Quality

220

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

8/10

Uniqueness Score

Common Hooks

Bold, status-claiming statements that reframe a skill or behavior (e.g., declaring the 'most valuable' new skill)Future-dated predictions and priority lists (e.g., 'what marketers should be prioritizing in 2026')Binary contrasts between 'old way' vs 'AI-era way' of workingOutcome-oriented hooks that promise unfair advantage (e.g., 'winning marketers in the AI era will…')Seasonal or planning-context hooks (e.g., year-end forecasting pain for marketers)

Common Endings

Punchy, distilled one-liner that encapsulates the main principleReinforcement of the core argument without explicit CTAOccasional soft pointer to a demo or example (e.g., 'See for yourself how good it is.')

Value Delivery Methods

Translates abstract 'AI in marketing' chatter into operational playbooks and concrete rolesProvides mental models that reframe how marketing teams should be structured in an AI eraGives actionable breakdowns of how to use AI tools to build internal, defensible software advantagesChallenges prevailing norms around measurement and planning, encouraging more experimental creativityBalances strategic foresight (2026, AI era) with highly tactical next steps

Formatting Style

Short paragraphs with clear line breaks for readabilityHeavy use of bullet points and numbered lists to structure frameworksUse of dashes and sub-bullets to break down concepts and rolesSectioned structure: hook → contrast/insight → concrete examples → summarising lineQuotation marks used to highlight key phrases or ironic terms (e.g., 'briefs', 'new' skill)

Audience & Tone

NO

Question Usage

0%

Response Rate

Detected Tone

Pragmatic futurist focused on AI-enabled marketingOperator-first strategist who has actually built and tested toolsSmart-casual expert speaking peer-to-peer with senior marketersConfident but approachable, with occasional humor and light self-deprecationsemi-formalsecond-person

Interaction Style

Primarily reacts to strategic, future-of-marketing discussions with thoughtful commentsEngages more when posts provide frameworks they can adapt to their own orgsLess responsive to purely personal or playful AI experiments without clear business takeaway

Community Building Signals

Positions the creator as an operator designing the 'next version' of the marketing role, attracting ambitious practitionersInvites implicit co-creation of new norms (e.g., internal AI teams, AI customer twins) that early adopters can rally aroundBuilds a shared language around specific constructs (AI assistants, vocabulary engines, personal app stacks) that can become community shorthand

Writing Style Patterns

Content Strategy

Hook: Bold, status-claiming statements that reframe a skill or behTone: semi-formalCTA: Implied CTA to rethink how the reader structures t

Writing style breakdown

Core characteristics

The style is professional but highly conversational.

It is direct, clear, and grounded in practical B2B / SaaS marketing and AI.

It leans informative and strategic, with flashes of wit and light sarcasm.

The voice feels like a senior operator talking to peers, not a beginner explainer.

Formality

Overall tone: semi-formal.

Vocabulary is professional (e.g., "deal velocity", "closed-won rates", "LLMs", "agentic experiment").

Sentence structure is simple and accessible, not academic.

Uses contractions freely: "it's", "I've", "we'll", "you've", "don't".

No slang-heavy or meme-heavy language. Sarcasm is text-based, not emoji-based.

Energy and pacing

Medium to high energy.

- Posts often open with a strong, confident statement or provocation

Prototyping is the most valuable 'new' skill marketers learned in 2025.
AI broke your marketing because you've been fixated on clicks rather than customers.
We're going to need new metrics to define what 'success' is in b2b marketing.

- Energy is driven by

Short, punchy lines.

Reversals: "It’s given marketing a lot more power... But it’s also become incredibly restrictive."

Forward-looking framing: "In 2026...", "In the AI era...".

- Frequent use of

Strong declarative openers.

Contrast pairs: "Customer vs. Clicks", "Customer vs. the Data".

Future framing: 2025/2026/AI era.

Named concepts: "AI Customer Twin", "Customer Vocabulary Engine", "human-led CMS".

Light humor and sarcasm in critique posts.

- Rhetorical questions appear occasionally, usually to set up a problem

How do I show the value of marketing to my CEO?

Metaphors are minimal; when used, they’re straightforward (e.g., "personal army of apps").

Storytelling is light; more example-driven than narrative-driven.

Direct audience engagement mostly via second person ("you") and rare explicit CTAs.

- Person and orientation

Heavy use of "you" to instruct and challenge.

I" appears when giving personal examples or credibility ("I've used Opus 4.5 and Gemini 3"; "I've started posting them to my Substack").
We" is used to reference the marketing profession as a group ("We used to have content CMS's"; "Every year, marketing teams around the world...").

- Mostly direct commands and assertions

Stop working alone. Build three AI assistants.
You need to optimise for the Customer vs. the Data.

- Occasionally softer framing, but still directive

If you want to build this, hit me up on DM.
Some marketing you should measure. Some marketing, you should let the team cook!

Overall voice summary you should replicate

Confident, opinionated operator.

Talks to experienced marketers as equals.

Explains complex shifts (AI, metrics, strategy) in accessible, concrete language.

Mix of strategic frameworks and very specific, tool-level examples.

2. STRUCTURAL FLOW & LOGICAL PROGRESSION
3. SPACING, LINE BREAKS & VISUAL FLOW
4. SENTENCE CONSTRUCTION & PACING

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