# Anthony Moore

Anthony Moore writes and works in B2B content marketing and copywriting, with a focus on making brand content more human and story-driven.

- Profile: https://b2binfluencer.marketing/creators/anthony-moore/
- LinkedIn: https://www.linkedin.com/in/mooreanthony
- LinkedIn followers: 2,357
- Topics: artificial-intelligence, content-marketing
- Based on 9 dated posts, latest 2026-09-15

## Summary

Useful for narrative-led B2B content, copywriting, and arguments about human craft versus AI.

- Best for: Mid-market B2B software brands wanting founder-voice emails, longform thought pieces, and AI disclosure standards.
- Not for: High-volume SEO articles, paid social captions, reach guarantees, and per-word rates.
- Check first: Confirm current availability and ask for samples across other formats or assignments.

### Takeaways

- B2B content fails because it does not tell stories, not because it lacks AI.
- AI takes formulaic writing jobs first; human craft is the differentiator.
- Audience distrust of AI is a lasting constraint and a norm, not just a market gap.

## Main ideas

- **B2B content fails because it does not tell stories, not because it lacks AI**: Moore describes much B2B company content—including blogs, emails, ads and About pages—as stiff, stale, robotic and ineffective. The models they point to are brands that told stories and built communities rather than publishing barely concealed sales pitches. Narrative devices and fiction techniques can work even in bland B2B campaigns, Moore argues, while most AI attempts at that register land as tone-deaf.
- **AI takes formulaic writing jobs first; human craft is the differentiator**: Moore divides writing work into two groups. Basic copywriting, content marketing, SEO, email newsletters, social captions and sales pitches are being replaced, especially at the entry level. AI cannot yet produce longform blogs, books, novels and thought pieces consistently. Two reasons keep human writers in the market: a large share of people distrust AI-produced content, and quality human writing is hard, making distinctive voice more visible as AI-generated content homogenizes.
- **Audience distrust of AI is a lasting constraint and a norm, not just a market gap**: Moore argues that a large segment of the public will immediately discount content once they learn AI was involved, even in a small way, and that no amount of quality overcomes that distrust right now. They state a preference as a norm: preferring human-created art over AI-created art is the right default.
- **A hard job search reshaped Moore's priorities around fit, family and honest work**: After a tech layoff, Moore spent six months applying to roughly 1,500 or more jobs, got around 40 interviews with 20 companies and still did not get hired directly. Their only job came through a recruiting agency as a four-month contract, and the content marketing work was shut down afterward. On the next search, they plan to apply only to jobs worth having and spend more time with family and kids while looking. They ask readers for content marketing, content management or copywriting leads.

## Work to read

- [Great Content is About Great Storytelling, and AI Can't Do That](https://www.linkedin.com/posts/mooreanthony_great-content-is-about-great-storytelling-activity-7254891870911094786-Jfzf)
- [Here's why I'm not worried about AI taking over (specific) writing jobs](https://www.linkedin.com/posts/mooreanthony_heres-why-im-not-worried-about-ai-taking-activity-7432150638194499584-yhip)
- [Tomorrow is the anniversary of when I was laid off from my tech job](https://www.linkedin.com/posts/mooreanthony_tomorrow-is-the-anniversary-of-when-i-was-activity-7219078934028521472-UfX3)

## Partnerships

Moore’s posts do not document sponsorship packages: none of the three sets out a sponsored-placement format, rate card, deliverable specifications or paid brand partnership disclosure. A July 2024 post says they are looking for an expert role in content marketing, content management or copywriting and asks readers to pass on leads. That signals hiring or contract availability, not a sponsorship offer; no terms, pricing or deliverables are stated. Buyers should ask directly whether they accept sponsorships and, if so, about available formats, rates, deliverables and how to inquire.

## Alternatives

- Gurpreet Kaur: Choose Kaur when the goal is to connect B2B content more directly to leads and revenue. In a four-week content roadmap, they start with customer and sales research, then move through positioning, distribution, and CRM measurement. In a post about a silent lead pipeline, they test the site as a user and find that lead forms are failing. That practical emphasis can help a team check whether the problem is its content—or the path from content to inquiry—before commissioning more storytelling.
- Aiman Asalm: Choose Asalm when the priority is a repeatable process for turning client expertise into LinkedIn content. In a breakdown of a 21-post process, they describe researching each niche, matching formats to the brand, building each post around one idea, and refining for the client’s voice. A second post explains a founder-content process built around advance research, kickoff calls, a monthly interview, an ongoing idea repository, and weekly review. That may suit an agency that needs to capture a founder’s thinking without relying on daily voice notes.
- Angamba Longjam: Choose Longjam when the goal is to structure content around an AI software product’s acquisition and conversion goals. In a content-strategy breakdown for an AI SaaS company, they propose a mix of tutorials, comparisons, use cases, monetization content, and thought leadership, then connect it to a cycle from traffic and education through product use and conversion. That system-level view is more directly useful when the main challenge is planning content to support product adoption.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/
