From Copy to Credibility: Rebuilding Trust, PR, and Prompting in the AI Era (Part 2-4)
From Search Stack to Workflow to Job Title: How GenAI Is Quietly Reshaping Your Job Description
In Part 1, we explored how GenAI is reshaping the fundamentals of discoverability. Now we shift to the middle of the marketing funnel — where words, trust, and PR collide. These next roles redefine how visibility is built and how brands are cited, surfaced, and trusted by machines.
Prompt Strategist
(formerly: Copywriter)
What’s Changed
Once focused on headlines, CTAs, and tone, today’s copywriters are evolving into Prompt Strategists. They don't just write — they instruct. This role builds, tests, and refines prompts to direct GenAI tools toward high-quality, on-brand outputs across content types. It's a hybrid of creative direction, instructional design, and AI interaction design.
New Responsibilities Include:
Crafting, testing, and refining prompts for AI content generation
Maintaining brand voice through AI output tuning
Collaborating with SMEs to structure domain-specific prompt templates
Training internal teams on prompt best practices and tool usage
Salary Evolution (U.S. National Averages — Base Only)
Year: 2005 — $44,000 — Traditional copywriting focus on ads and web
Year: 2010 — $51,000 — Rise of digital channels and SEO copy
Year: 2015 — $57,000 — Content marketing, storytelling, multichannel
Year: 2020 — $64,000 — CRO, UX writing, personalization demands
Year: 2024 — $70,000 — Entry-level prompting enters creative workflow
Year: 2026 — $83,000 — Prompt expertise becomes differentiator
Year: 2030 — $80,000 — Prompt libraries + AI-native tools stabilize role demand
Figures are inflation-adjusted U.S. national base salaries. Regional multipliers apply.
What’s Driving Salary Growth?
AI Skill Scarcity: +20% (Impact Level: High) — “Prompt engineers” are in high demand, and creative prompt strategists are even rarer. This premium is likely to hold short-term.
Strategic Importance: +25% (Impact Level: High) — Prompts shape AI outputs, making this role critical to quality, brand alignment, and content differentiation.
Automation Threat: –10% (Impact Level: Medium) — Tools that auto-generate prompts are emerging. Those who don't upskill risk displacement.
Transferability of Skills: +15% (Impact Level: Moderate) — Core writing, UX, and instructional skills apply broadly across AI-enabled roles.
Market Maturity Stage: +10% (Impact Level: Emerging) — Prompting as a discipline is early-stage, with standards and workflows still forming.
Org-Level Visibility: +5% (Impact Level: Growing) — This role is climbing in importance but may still sit mid-tier in many orgs unless tied to outputs with measurable ROI.
→ Net projected growth: ~18% (2024 → 2026)
→ Stabilizes by 2030 as AI tools become prompt-native and role formalizes
Why It Matters
Prompt strategy is the new copy strategy. You’re not writing final output — you’re writing the instructions that guide the machines producing it. In a world where AI tools influence tone, accuracy, and performance, your words before the content are what count most.
Earned Visibility Strategist
(formerly: PR/Comms Specialist)
What’s Changed
PR used to be about press releases, pitch emails, and media relationships. Today, the same work impacts retrievability, authority scoring, and LLM grounding — whether through high-value citations, structured media mentions, or AI-visible signals of trust. The Earned Visibility Strategist expands the PR lens to account for how earned media influences both humans and machines.
New Responsibilities Include:
Securing citations in trusted, high-authority digital sources
Structuring media mentions to reinforce machine-readable trust signals
Coordinating with SEO and content teams to maximize retrievability impact
Monitoring AI system surfacing patterns for PR-driven brand visibility
Salary Evolution (U.S. National Averages — Base Only)
Year: 2005 — $52,000 — Traditional PR outreach and press kits
Year: 2010 — $58,000 — Social media and digital comms integration
Year: 2015 — $65,000 — Influencer relations and brand storytelling
Year: 2020 — $73,000 — Digital PR tied to SEO outcomes
Year: 2024 — $80,000 — AI-driven citation tracking enters scope
Year: 2026 — $92,000 — Critical link between comms and retrievability
Year: 2030 — $90,000 — Slight dip as automation tools assist sourcing
Figures are inflation-adjusted U.S. national base salaries. Regional multipliers apply.
What’s Driving Salary Growth?
AI Skill Scarcity: +10% (Impact Level: Moderate) — Traditional PR pros often lack retrievability or grounding knowledge.
Strategic Importance: +20% (Impact Level: High) — Media mentions now influence both perception and machine trust.
Automation Threat: –10% (Impact Level: Moderate) — Tools like HARO replacements and citation services reduce manual lift.
Transferability of Skills: +10% (Impact Level: Moderate) — Comms skills remain broadly useful, though AI alignment is specialized.
Market Maturity Stage: +15% (Impact Level: Early-stage) — Few PR teams have adapted for LLM-grounded media strategy.
Org-Level Visibility: +15% (Impact Level: Growing) — Growing awareness that PR outcomes affect more than human eyeballs
→ Net projected growth: ~17% (2024 → 2026)
→ Leveling by 2030 as best practices become normalized
Why It Matters
In AI-driven search, media coverage isn't just brand awareness — it's a machine-readable signal of relevance and trust. The Earned Visibility Strategist ensures your brand is not only seen by reporters but surfaced by retrieval engines. If you think PR stops at headlines, you're missing the algorithmic forest for the trees.
Trust Signal Strategist
(formerly: Brand Strategist)
What’s Changed
Traditional brand work focused on perception — visual identity, emotional resonance, and messaging. But GenAI systems aren’t swayed by vibes. They require signals: structured, machine-readable, source-attributable evidence that your brand is authoritative and trustworthy. The Trust Signal Strategist ensures your brand “shows up” in AI-driven environments — not just by being known, but by being verifiable.
New Responsibilities Include:
Designing brand-level schema strategies for organization-level trust
Ensuring brand mentions include context-rich, verifiable information
Mapping citation networks and brand co-occurrence in high-trust sources
Collaborating with SEO, PR, and legal on claim substantiation workflows
Salary Evolution (U.S. National Averages — Base Only)
Year: 2005 — $60,000 — Classic brand campaigns, identity and voice
Year: 2010 — $66,000 — Integrated digital branding and reputation work
Year: 2015 — $75,000 — Rise of brand storytelling and omnichannel UX
Year: 2020 — $84,000 — Social proof and influencer-led trust models
Year: 2024 — $92,000 — Brand now part of E-E-A-T discussions
Year: 2026 — $106,000 — Schema and trust signal strategy core to AI visibility
Year: 2030 — $101,000 — Drops slightly as signal design becomes standardized
Figures are inflation-adjusted U.S. national base salaries. Regional multipliers apply.
What’s Driving Salary Growth?
AI Skill Scarcity: +15% (Impact Level: Moderate) — Few brand strategists are fluent in machine-readable trust systems.
Strategic Importance: +25% (Impact Level: High) — Trust signals now govern what gets retrieved and shown in AI interfaces.
Automation Threat: –10% (Impact Level: Low) — Brand strategy remains human-led but now includes automation coordination.
Transferability of Skills: +10% (Impact Level: Moderate) — Core storytelling remains relevant; technical layer is new.
Market Maturity Stage: +10% (Impact Level: Early-stage) — Organizations are just beginning to operationalize trust systems.
Org-Level Visibility: +15% (Impact Level: Growing) — Increasing executive awareness of trust signal impact on AI visibility
→ Net projected growth: ~18% (2024 → 2026)
→ Slight correction by 2030 as systems mature
Why It Matters
If your brand can’t be cited, grounded, or verified, it won’t be surfaced. Period. Trust isn’t just a feeling anymore — it’s a structured asset. The Trust Signal Strategist isn’t just protecting your reputation; they’re shaping your machine legibility in a world where AI sees the first impression.
Context Curator
(formerly: CRM Manager)
What’s Changed
CRM used to mean pipeline management, email cadences, and customer segmentation. But in the age of AI, context is everything. A Context Curator designs how first-party and behavioral data are framed, connected, and surfaced — not just for human marketers, but for LLMs powering customer interactions. They're the bridge between your data lake and your AI assistant’s memory.
New Responsibilities Include:
Structuring user and customer data for AI assistant context recall
Creating interaction schemas for personalization frameworks
Maintaining privacy-aligned prompt scaffolds and profile contexts
Aligning CRM workflows with generative memory layers and retrieval APIs
Salary Evolution (U.S. National Averages — Base Only)
Year: 2005 — $56,000 — Traditional CRM oversight, segmentation, and email logic
Year: 2010 — $61,000 — Platform automation tools gain traction
Year: 2015 — $69,000 — Integration with broader MarTech stacks
Year: 2020 — $75,000 — Increasing data complexity and user expectations
Year: 2024 — $87,000 — LLM-aware personalization strategy enters the mix
Year: 2026 — $99,000 — Contextual memory and prompt structure specialists in demand
Year: 2030 — $96,000 — Flattens as tools become more plug-and-play
Figures are inflation-adjusted U.S. national base salaries. Regional multipliers apply.
What’s Driving Salary Growth?
AI Skill Scarcity: +15% (Impact Level: Moderate) — Few CRM pros are fluent in LLM memory structures.
Strategic Importance: +20% (Impact Level: High) — Context is now core to customer experience delivery.
Automation Threat: –10% (Impact Level: Moderate) — Some scaffolding can be templated; design can’t.
Transferability of Skills: +20% (Impact Level: High) — Data fluency translates well; AI memory shaping is new.
Market Maturity Stage: +5% (Impact Level: Mid-stage) — Most teams are just starting to address this.
Org-Level Visibility: +10% (Impact Level: Growing) — This work is increasingly aligned with CX and AI leaders
→ Net projected growth: ~20% (2024 → 2026)
→ Slight pullback by 2030 as context design tools become mainstream
Why It Matters
LLMs don’t “know” your customer unless you teach them. Context Curators ensure every personalized moment — from emails to in-chat answers — is powered by data that's structured for retrieval and shaped for trust.
Coming in Part 3
What happens after the click — or after the conversation? Part 3 explores the evolution of user experience, retention, and engagement — and how these roles now include cross-agent coordination, re-engagement scripting, and AI-first journey design.
This is a very thought-provoking series. It would be really amazing to have an org implement a structure like this.