Founder of FA Consulting | Fractional COO | Developing high performing teams | Startup Advisor | Board Member

At Almeshaan Consulting, we drive organizational effectiveness for high-growth companies by aligning organizational goals, setting up structured performance management systems, and providing leadership development and management training.  

Services:
- 𝐅𝐮𝐥𝐥 𝐓𝐞𝐚𝐦 𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭: Set clear, measurable objectives and key results to guide every team member’s efforts and ensure everyone understands their role in achieving company goals.

- 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Equip your leaders and managers with the skills to lead effectively, from decision-making to people management.

- 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐀𝐈: Develop systems to meticulously monitor and track critical metrics, ensuring your targets are met efficiently.

Curious how you can drive your team's performance? Reach out at faye@almeshaan.co

Faye Almeshaan

Founder & CEO, Sevans PR 📱 Text me: 224-829-8820

I build modern visibility systems for brands navigating the AI era.

As Partner & Head of PR at Zen Media, I help companies show up where decisions are made, across humans and machines. Today's category leaders are the most discoverable, trusted, and reinforced across media, search, and large language models.

For 21+ years, I’ve helped brands raise capital, enter markets, and reinvent themselves through technology shifts. Today, I work with enterprise and fast-growth companies in tech, SaaS, cybersecurity, medtech, and consumer innovation and more.

Modern PR = Media + Models.

The future isn’t press,  it’s presence.

At Zen Media, we built A.V.O.S.,  the Answer Visibility Operating System™ It is a scalable framework that turns earned moments into machine memory, market authority, and measurable intent signals.

A.V.O.S. ensures that every story, citation, and search result becomes a data-rich trust signal across:

-Media ecosystems
-Generative engines (ChatGPT, Gemini, Perplexity, Claude)

It connects editorial authority, structured information, and AI-era visibility into one system of record and reinforcement.

Modular Programs Built on A.V.O.S.:

Published Monthly™
Prompt Discovery Index™
Gen AI Wire Press Release™

and more...

Who We Work With

Executives and brands asking:

• How do we secure earned trust and AI discoverability?
• How do we show up inside LLMs when buyers search?
• How do we turn a single media moment into a visibility engine?
• How do we measure PR in revenue-aligned terms?

If you are scaling and need durable authority, we should talk.

Speaker & Media Presence

On-air host & keynote speaker on: AI visibility, PR innovation, executive communication, and trust in the machine era.

Featured in: Entrepreneur · Hackernoon (Top 3) · Grit Daily · CBS · The Doctors · National media + stages across tech and communications

Sarah Evans

Today’s PR@ctical is a big one. I’m sharing 15 practical workflows modern communicators should be building right now.

I also shared my three favorite newsletters: Gab Ferree, Meredith Klein and Joseph Gallo!

And if you read until the end, I dropped a "soft" announcement before it officially goes live. 

If you work in PR, marketing, or run an agency, this one is worth your time.

Partner and Head of PR at Zen Media, AI in Communications Thought Leader, Professional Moderator and Tech Host

View newsletter: PR@ctical - Linkedin Edition

Hi, Team PR@ctical. This week I actually want to slow down before we speed up. Crazy coming from me, right? But first. I want to share a few other new

Open article: The Workflow Edge: 15 Systems Comms Teams Are Thinking About and Building For Right Now by Sarah Evans • 6 min read

The Workflow Edge: 15 Systems Comms Teams Are Thinking About and Building For Right Now

I joined Meltwater's Table Stakes 2026 series this week. The theme: AI as accelerator. Not replacement.

If you swipe through, you’ll see insights from Brian Keenan, Rose Jia, Jim Reynolds, and me.

I want to dig deeper on my quote and offer practical advice. 

If you're being rushed, working on tight deadlines, have limited resources and high expectations...welcome to reality.  AI makes it dangerously easy to move something from draft to deliverable without ever truly thinking.

Something relatively "easy" ... Create a Standards Guide.  Attach with prompts or add to memory and instructions.

Strategic Communications AI Standards

Paste This Into ChatGPT Before Generating Strategy

You are assisting with executive-level strategic communications work. Generic outputs are unacceptable. Surface-level summaries are insufficient. All recommendations must meet the following standards.

1. Context First — Never Assume

Before generating strategy, ask clarifying questions if any of the following are missing:

Primary business objective (growth, funding, risk mitigation, positioning, etc.)
Target audience
Competitive landscape
Risk factors or regulatory constraints
Timeline
Resource constraints
Internal stakeholder dynamics
If context is insufficient, request more information before proceeding.
Do not produce a generic plan.

2. Question-Led Analysis

Do not immediately generate a strategy.

First, analyze using questions:

What assumptions are embedded in this request?
What blind spots may exist?
Where could this strategy fail?
What would a skeptical CFO or board member challenge?
What second-order effects should be considered?
What risks are being underestimated?
Present this analysis before presenting recommendations.

3. Adversarial Review Layer

After generating recommendations:
Identify structural weaknesses.
Provide counterarguments.
Compare to likely competitor approaches.
Identify scenarios where this becomes obsolete.
Flag reputational or regulatory exposure.
Assume the output will be scrutinized

4. Elevate to Business Impact

Translate all tactical recommendations into executive implications.

Every recommendation must state:

What decision it influences
What revenue it supports or protects
What risk it mitigates
What perception it shapes
What happens if no action is taken
If impact cannot be articulated, revise.

5. Differentiation Filter

Before finalizing:

Could this apply to any company in the industry?
Does this sharpen unique positioning?
Does it reinforce narrative architecture?
If transferable to competitors, increase specificity and differentiation.

6. Cognitive Expansion

Provide:

Three alternative strategic paths (conservative, balanced, aggressive)
Tradeoffs for each
Risk tolerance required for each
Do not default to a single answer.

7. Clarity Over Volume

Use:

Clear headings
Decision framing
Risk flags
Executive-ready language
Avoid filler, clichés, or marketing tone.

Copy, paste, revise and enjoy.

Table Stakes from Meltwater

Your “Open to Work” banner might be working against you, even though it was created to help. I built something else to help you - introducing the Known-For Banner Creator:

When LinkedIn introduced it in 2020, it made perfect sense. Layoffs were widespread and sudden. The banner functioned as a coordination signal: we’re all navigating this at the same time.

It worked because people interpreted it with context and empathy.

But the market is different now.

Today, profiles are skimmed in seconds, often alongside hundreds of others. In that environment, viewers don’t consciously analyze your situation, they rely on quick signals to understand where you fit. 

And a signal of availability does not answer the question hiring managers are actually trying to solve:

“What problem would this person remove for me?”

So I built a small alternative called the Known-For Banner.

Instead of announcing that you need a job, it shows the thing you are GREAT at.

Examples:

• Fixes onboarding drop-off
• Turns expertise into pipeline
• Aligns product and revenue
• Cuts reporting confusion
• Builds adoption post-launch

You upload your photo, answer a few prompts, and it generates a ready-to-use banner.

If it helps even a few people get seen for what they actually do well, it was worth building.

Link in comments.

#opentowork #hiring #jobsearch #support

I built something I wish existed 10 months ago. I've been chomping at the bit to release this. 

Comms leaders are looking for ways to communicate with the c suite on what is happening right now. 

So I wrote something to support everyone during this time of change.

It's the Executive Language Manual for AI-Era Communications

A full interactive guide with:

— Short and long-form responses for every executive question you'll face
— Copy-paste scripts for hard leadership conversations 
— Weekly AI visibility audit workflow with exact prompts
— Monthly reporting templates ready to customize
— Visual diagrams you can screenshot and share

Plus interactive tools you can't get from a PDF:

— A Playbook Builder that takes your company name, competitors, and buyer persona and generates customized scripts, leadership updates, and budget defense language specific to your situation

— A 30-Prompt Audit Generator that builds a ready-to-run AI visibility audit set for your exact category (examples only, you need a credible validation layer)

— A Competitive Displacement Analyzer — paste any AI-generated answer about your market and it breaks down who's winning the narrative, where you're missing, and what content to create

— An ROI Calculator that models the revenue impact of improving your inclusion rate (built to get budget approved)

— 4 media pitch examples designed for coverage that actually gets cited by AI

— Board-ready slide language you can drop directly into your next report

— Industry-specific examples for SaaS, Fintech, Healthcare Tech, Professional Services, and E-Commerce

How it works:

The link opens in Claude. That's intentional. Once it's in your Claude environment, you can interact with it: ask follow-up questions, customize the scripts for your company, run the audit prompts directly, adapt the templates to your category.

Link in comments.

#AIVisibility #PR #Communications #Marketing

Yesterday I was on calls from 7 AM to 4 PM. Here's my actual calendar (redacted for client privacy):

7:00 AM — ██████ weekly review
7:30 AM — ██████ onboarding
8:00 AM — ██████ x Zen Media
8:30 AM — ██████ proposal review
9:00 AM — ██████ (blocked)
11:00 AM — ██████ / Sarah Evans
11:30 AM — ██████ kickoff call
12:00 PM — ██████ update
12:30 PM — ██████ team update
1:30 PM — ██████ x Zen Media
2:00 PM — ██████ respond to emails
2:30 PM — ██████ x Zen Media
3:30 PM — ██████ x Sarah Evans

13 meetings. One day.

And in between those calls, I:

→ Built 4 custom sales decks for new prospects

→ Created a live brand discovery audit during a call

→ Had every action item from every meeting captured and time-blocked automatically

→ Built a new product module from a call transcript

→ Drafted follow-up emails for 6 different meetings

→ Published a full 4-week editorial calendar with 50 pieces of content

All in parallel. (And let me tell you, this doesn’t hold a candle to the entire team system one of our developers set up to support his work. Wild!)

There are new levels to unlock AI productivity without compromising human input or integrity. 

I started at Level 1, think “summarize this document,” and have unlocked Level 4. 

It is an AI layer that listens to your meetings, extracts action items, creates tasks with due dates, drafts the follow-ups, preps you for the next call, and builds the deliverables — while you're still on the current call.

That's not futuristic. That's my Tuesday.

The tools exist right now.

And then I have human review and blockers to ensure nothing pure AI gos out. 

I feel like I have 14 arms. 😝 

The gap between "I use ChatGPT" and "AI runs my operating system" is the next generation of leadership.

If you want help with workflow, need custom internal tools or someone to just install Clawbot for you, DM me. 

#AI #clawbot #productivity #lifehack

No alternative text description for this image

Brutal truth: Agencies as we know them will not survive the next two years. Microsoft’s AI chief just said “most if not all” white-collar tasks will be automated within 18 months. 

Don't worry, this isn't going to be all doom and gloom. If you know me, you know I always bring a solution.

AI can produce research, synthesis, draft analysis, and modeling in seconds. Now, layer that into an industry structured on billable hours and manual workflow, and it's just a giant risk. 

When intelligence becomes exponential but your operating model remains linear, value is completely misaligned.

Enter: SERVICE AS A SOFTWARE

This is the future. 

It is agencies reimagined and is flips the script on the old model. 

Combining AI and consultation in a way that will, yes, inevitably impact pricing and structure, but with faster output that drives better results. 

The consultant does not disappear; the consultant operates on top of engineered systems.

It will also accelerate output, improve consistency, and create compounding intelligence that traditional models cannot replicate.

The future agency will not sell hours. It will sell access to infrastructure operated by experts.

If you run or work for an agency, 
rebuilding from scratch is expensive, slow, and distracting.

You know your model needs to evolve but might not have an internal AI team or R&D budget, start to think about partnering with firms that have already built infrastructure, systems and tools.  It is a smarter path than trying to reinvent it alone.

If you are a brand, start asking what systems you gain access to.

Now is the time to ask whether you want to build, buy, or partner.

There is still so much opportunity. It depends on the path you choose. 

#PR #agency #marketing #communications #AI #partners

Pumped for this week's The Visibility Equation. I'm bringing on Andrew Wyatt to talk through an actual workflow that changes how you can show earned media value. You're likely sitting on intel gold and just don't know how to unlock it yet.

The problem: in an AI-driven environment, that workflow wastes the most valuable part of earned media, which is the intelligence inside it.

Episode: Turning Coverage Into Your Next Pitch

Introducing: the Coverage Activation Workflow
We’ll break down:

• Why traditional coverage reports stop helping teams improve performance
• What message pull-through and competitive context actually tell you
• How coverage becomes input for positioning, pitching, and narrative strategy
• Where AI is useful — and where it isn’t — inside comms workflows
• How to generate repeatable story ideas from media you already earned

Old model:
Coverage → Export → Deck → Send → Archive

New model:
Coverage → Structured Analysis → Context → AI Query → Pitch Ideas → 


This is an ESSENTIAL shift happening in communications right now: moving from documenting outcomes to directing the next ones.

Friday, 8:00–8:30 AM PT
 
Live right here on LinkedIn.

#communications #media #reporting #strategy #PR

The Visibility Equation: Turning Coverage Into Your Next Pitch

Not to be self-serving, but this could be the most important thing you read today about prompt data. Brutal fact: your prompt data might be faulty. Either because you bought it that way or you ran it without technical knowledge. 

This week a post on Reddit went viral. A company had been using an AI agent to answer leadership questions about metrics. Everyone loved it. Three months later they discovered it had been hallucinating the entire time. Their VP of Sales made territory decisions based on data that did not exist. 

Something similar is happening in PR right now.

We are accelerating into a space where the guidelines around prompt intelligence have not been set. 

Here are the four issues I'm seeing:

𝟭. 𝗡𝗼 𝗽𝗲𝗿𝘀𝗼𝗻𝗮 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸.

Without telling the AI system who it is thinking as: customers, stakeholders, employees, etc... , the strategic context matters or every output defaults to generic. 

𝟮. 𝗡𝗼 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿.

Most SaaS tools do not disclose what their AI is pulling from or when that knowledge was last verified. If you cannot see what the AI is drawing from, you cannot audit what it produces.

𝟯. 𝗡𝗼 𝗶𝗻𝘁𝗲𝗻𝘁 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻.

Brand visibility, reputation management, thought leadership, and crisis response each require a completely different prompt architecture. 

Let's take this a step further: 

Technology strategist Shelly Palmer gave the most valuable advice. Google and Chrome launched an early preview of something called WebMCP. 

• Right now, AI agents browsing the web have to guess which buttons to click and which information to trust by scraping pages or analyzing screenshots.

• WebMCP changes that entirely. Websites will be able to declare their functions directly to AI agents, handing them a structured map of what everything does and means.

• Google and Microsoft co-authored the standard together. Chrome and Edge control nearly 75% of global browsers. 

• It reduces the cost of AI navigation by 89% and makes AI-driven browsing dramatically faster and more precise.

• The formal launch is expected by mid-2026 at Google I/O. 

AI agents will soon be navigating your digital presence directly, interpreting what your brand means, what it offers, and how it should be represented, based entirely on the data structures and prompts behind your content.

So what do you do with this?

→ Audit the AI-generated data your brand is currently acting on. Ask who built the prompts, what persona was defined, and how the outputs were verified.

→ Before trusting any AI-driven strategy, ask: was a brand persona defined, was the knowledge source validated, and is each output mapped to a specific brand goal?

→ Start thinking about your digital presence not just as content for humans but as structured information that AI agents will interpret and act on at scale.

If you want to know more about this for your own brand, DM me. 

#AI #PR #communications #prompts #visibility

Three shifts happened this week that are about to change how every brand competes for visibility in AI. 


1. The Model Context Protocol just became an industry standard.

Anthropic donated MCP — the Model Context Protocol — to the Linux Foundation's new Agentic AI Foundation, co-founded with Block and OpenAI. Google, Microsoft, AWS, Cloudflare, and Bloomberg are backing it.

If you don't know MCP yet: it's the universal standard that lets AI agents connect to and take action in external systems. Think of it as USB for AI, one protocol that lets any agent plug into any tool, database, CRM, website, or platform.

There are already 10,000+ active MCP servers. It's built into ChatGPT, Gemini, Microsoft Copilot, Cursor, and VS Code.

Why this matters for comms: MCP is the infrastructure layer that makes agentic commerce possible. 

When an AI agent can read your product specs, compare your pricing, check your reviews, and initiate a purchase through a standardized protocol and that changes how brands get discovered and chosen.

2. AI agents are moving from recommendation to transaction.

Six months ago, the conversation was "AI agents will eventually make purchases." Today, enterprise procurement teams are already using AI agents to evaluate vendors and generate shortlists.

Here's what makes this important to understand:

When a human evaluates your brand, they go through an emotional, nonlinear journey. They see your ad, read a case study, ask a colleague, visit your booth, follow you on LinkedIn. Over weeks or months, they build enough trust to buy.

An AI agent does this in seconds. 

It pulls your entity definition from multiple sources. Cross-references your claims against third-party validation. Compares your structured data against competitors. Scores and decides.

3. The "knowledge graph" is no longer Google's. It's everyone's.

For 15 years, "knowledge graph" meant Google's Knowledge Graph — the structured database powering those info panels on the right side of Search.

That model is over.

Every major AI platform now builds its own entity understanding from its own training data. ChatGPT, Perplexity, Gemini, and Claude each have their own. And they don't agree with each other.

I tested this last week. I asked four AI platforms the same question about a Fortune 500 brand: "What does [company] do?" I got four different answers — different emphasis, different claims, different competitive comparisons.

Your brand doesn't have one entity definition in AI anymore. 

You have  one per model, each constructed from different training data, source weightings, and extraction methods.

Want to know your brand's Knowledge Share? DM me and I'll connect you with our team.

#AI #visibility #communications #agenticcommerce #PR #marketing

If you're just learning how to prompt right now, that's okay. That's how I started, and I'm now building something new every single day. Here's how I moved:

STAGE 1: Prompts

It starts like this for everyone who is non-technical. Asking ChatGPT things. Getting answers.

STAGE 2: GPT Creation

Then I started building with AI instead of just talking to it.

Custom GPTs. Personas. Instructions. Memory. I started shaping these tools around how I think.

This is where something clicked. 

STAGE 3: Vibe Coding

This is where non-developers like me started to get dangerous.

Vibe coding = describing what you want to build in plain English and watching it appear. 

I started shipping things I never thought I could build. Small tools. Automations. 

Things that actually saved me hours every week.

But there was still a ceiling. AI could help me think and create — but it couldn't actually act in my world.

Until it could.

STAGE 4: THE UNLOCK: MCP + OpenClaw + Claude Cowork

MCP — Model Context Protocol — is the thing I didn't know I'd been waiting for my entire career.

Here's what it means in plain English: your AI can now connect to your real tools. Your calendar. Your tasks. Your files. Your email. Your data. 

And it  can do things with them.

OpenClaw and Claude Cowork are how I access that power. And the combination of the three has completely changed how I operate.

HERE'S WHAT I'VE BUILT

🖤 Rook — My Personal Operating System

Rook is how my brain works, externalized.

It's the system I built to organize every task, project, and thought I have — structured the way I think, not the way some productivity app thinks I should think. Most productivity tools make you adapt to them. Rook adapts to me.
.
🤖 Kai — My AI Chief of Staff

Kai is my OpenClaw agent and honestly the closest thing I have to a real chief of staff.

Kai researches. Kai summarizes. Kai manages context across my calendar, tasks, and messages. When I'm thinking through a big decision, Kai thinks with me. When I need a briefing, Kai has it ready.

The difference between Kai and just "using ChatGPT" is like the difference between texting a smart friend and having a senior operator who knows your entire business embedded in your team.

Kai knows my world. Kai works in my world. That's MCP.

🌐 AskSarah — Coming Soon

This one I'm especially excited about.

AskSarah is an AI-powered advice platform — a place where people can actually get real, personalized guidance instead of generic answers.

More on this very soon. 

WHY I'M TELLING YOU THIS

Because 18 months ago I was just writing prompts.

The tools are here. The barrier is lower than it has ever been. You do not need to know how to code. You do not need a technical co-founder. You do not need to wait.
#AI #workflow #aichiefofstaff #projectmanagement #tips #tools

LIVE: Junior PR in the Age of AI – What Survives in 2026 ➡️  I’m hosting a free, live virtual session right here on LinkedIn for PR Coordinators, Associates, AEs, and early-career communications professionals.

If your day-to-day work includes:

-Media lists
-Thought leadership drafts
-Editorial planning
-Press releases
-Coverage summaries
-Reactive monitoring
Basic pitch writing

Wednesday, March 11
 🕢 7:30–8:30 AM PT | 🕥 10:30–11:30 AM ET

You should understand what is changing in the next 8–12 months.

AI is expected to replace the majority of repeatable junior tasks , at least as PR is currently structured.

It ONLY applies to PR as we know it.

Opportunities are shifting, we just have to plan ahead. 

In this LIVE, we’ll take a 101 look at the modern communications landscape:

• What is actually being automated
• Why junior task compression is accelerating
• The shift from reactive PR to the “before” layer
• The skills that increase your leverage
• How to reposition yourself before automation moves around you

If you are early in your PR career, join me live.

Managers: tag your coordinators and AEs.

#PR #juniorpr #SAE #AE #communications #media

LIVE: Junior PR in the Age of AI — What Survives in 2026

Request: if you’ve found value in anything I’ve shared, would you be so kind as to share a quote or comment I can use for an endorsement page? You can DM or share here. Much appreciated.

For all the people saying AI hype isn't helping anyone work better... I humbly suggest: you might not have found the right setup yet.

It can be fun to have a dissenting opinion or go against the grain, but to say AI can't help you work better and disregard it is a HUGE missed opportunity. 

I'm going to share ONE way that has changed my entire workflow.

This is a little story about the productivity dashboard I built and why it changed how I think about AI as an operational tool.

𝗧𝗵𝗲 𝗦𝗲𝘁𝘂𝗽

I'm running something called RookOS, a productivity layer built on top of OpenClaw (an AI agent framework) with a few key plug-ins wired together:

→ Content ideation pipeline that captures ideas from any channel and queues them for drafting

→ Task management integration that pulls from Todoist, Monday.com, and calendar in one view

→ A single dashboard where I can see everything — ideas, drafts, tasks, client status — without switching between the 52 tabs I keep open

→ Autosuggest sub-agents for even better workflow one time a day (literally anything you can think of) 

It took a few hours to configure. Not weeks.

𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀

AI productivity is about building systems.

The dashboard doesn't replace my thinking. 

It eliminates the friction between thinking and doing. 

When I have an idea at 6 AM, it goes into a queue. By the time I sit down with coffee, there's a draft waiting — in my voice, for the right platform, ready for me to refine.

Beautiful, glorious workflow architecture.

So when I see "AI isn't helping anyone work better" — I think the real question is:

Are you using AI as a tool, or as a system?

Because a tool gives you one answer. A system changes how you operate.

#AI #Productivity #OpenClaw #FutureOfWork #ContentStrategy #MarTech

5 ways GenAI Wire releases [also: AI Notice] are changing how brands show up in AI search. (And why traditional press releases don't cut it for AI SEO / GEO.)

Here's what a GenAI Wire release actually does differently:

1. It creates a citation-rich footprint AI trusts. 
2. It maps directly to how people actually search AI. 
3. It reinforces your content pillars + high authority pages.
4. It gives AI systems structured entity data to work with. 
5. Recency.

Sharing 5 types of GenAI Wire releases you can write right now, plus exactly how to structure each one!

1. The Authority Anchor Release - Editorial style tied to a topic you want to own.

TIP: Include a KEY FACTS block (5-7 citable bullet points with stats, not marketing language)

2. The FAQ Visibility Release

The FAQ section is the single most powerful part of any GenAI Wire. AI matches user prompts to FAQ structures. This release is built around that entirely.

3. The SME Credential Release

AI prioritizes documented authority. This release is designed to build your expert's entity signals across the web.

TIP: The first mention of your SME must include: Full name, credential, title, institution, city, state, and advisory relationship. All in one sentence. 

Example: "Dr. Jane Smith, MD, FACC, Director of Cardiovascular Research at Memorial Health, Chicago, Illinois, and member of [Brand]'s Scientific Advisory Board"

4. The Weekly or Monthly Rhythm Release

Identify which prompts align with higher search volumes, too. Then use one of the styles above and move. 

5. The Listicle Release

Formatted exactly like a top-performing editorial list post. AI loves retrieving ranked, structured content when answering "what are the best..." or "top ways to..." prompts.

Headline format: "5 Ways [Topic] Is Changing [Outcome]" or "Top [Number] [Category] for [Audience] in [Year]"

Why it works: Listicle structure maps directly to how AI surfaces "best of" and "top" answers. Ranking formats are consistently retrieved and cited across ChatGPT, Perplexity, and Gemini!

6. The News Announcement Release

Yes, you can still announce things. But the structure has to work for machines, not just journalists.

The format I recommend works across all six:

-Topic-first headline (60-80 characters) 
-4 subheads as bullets (table of contents for AI crawlers) 
-Dateline Brand hyperlinked in sentence one
-URL KEY FACTS block (5-7 citable stats) 
-Body copy 
-FAQ section (5-7 real user prompts, written conversationally) 
-Published Research and Resources section 
-Structured Data entity block 
-Boilerplate


#AIVisibility #GEO #PRStrategy #GenAIWire #PublishedMonthly #GenerativeSearch #AEO

Harvard says AI is making us work harder, not smarter. I disagree. And I have the receipts to prove it.

The problem isn't AI. The problem is using AI like a search engine or layering it on top of what you're already doing with the intent of YOU doing more. 

That's not an operating system or productivity unlock.  

This week's PR@ctical breaks down the Harvard study, why I think they're asking the wrong question, what I've built with Openclaw and Rook OS that proves the opposite, and 12+ platform changes every comms leader needs to know.

Plus: we're launching a first-of-its-kind GPT on Thursday. You're going to want early access.

👇

#communications #marketing #PR #AI #productivity #lifehack #CEO

Hi, Team PR@ctical. Welcome to the "uncomfortable" edition. I'm going against Harvard research. This week, a study published in Harvard Business Revie

Open article: The Productivity Paradox by Sarah Evans • 5 min read

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The Battle

Faye Almeshaan

Sarah Evans

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