Leadership Communication Inc.

08/27/2026

Algorithmically synthesized reputation:

There is no such thing as a single public-domain version of reputation.

For a long time, reputation seemed a more straightforward matter of checking Google page one results or doing a perception audit of stakeholders. There's never been a single 'official reputation' for individuals or organizations. But today's AI-era reputation is becoming much more fluid and multiplexed compared to the past.

Ask ChatGPT, Claude and Gemini about the same person or organization and you can get materially different answers. Each LLM draws on different sources, weighs them differently and resolves ambiguity in its own way. The same system will vary again according to the model version, the wording of the question, and the day it is asked.

For public relations, this changes the management of perception in an important way. We have long distinguished between image programmed, what a name deliberately communicates about itself, and reputation earned, what others conclude from its conduct over time. Generative AI now takes both, combines them with journalism, public records, criticism and historical material, and produces what might be called an algorithmically synthesized reputation.

That reputation is not sitting somewhere like a media monitoring database waiting to be retrieved. It is being rebuilt on demand, and different systems assemble it from different portions of the same information environment.

Muck Rack's May 2026 study of more than 25 million links cited by ChatGPT, Claude and Gemini across 17 industries found that what it classifies as earned media drives 84 per cent of citations, with journalism alone at 27 per cent and paid or advertorial content at 0.3 per cent. The same research shows how differently each system behaves. ChatGPT cites sources in 96 per cent of its responses, but averages five citations. Claude cites in only 55 per cent, and averages thirteen when it does.

The single most-cited domain is Wikipedia on ChatGPT, PubMed Central on Claude and Reddit on Gemini. Smaller samples point in the same direction: BrandGhost's AI Discovery Observatory reported only a 16 per cent source overlap in its August run among the LLMs it could compare directly (with half of comparable recommendation sets sharing no brands at all).

One 'favourable' ChatGPT answer therefore tells us only a small part of the story. What matters is the range of representations being generated across systems, which sources are producing those conclusions, where outdated or inaccurate material remains influential, and whether the public evidence surrounding a person or organization is strong enough to support an accurate account.

This makes genuinely earned reputation more consequential. Owned content can be produced in almost unlimited quantities. Credible independent evidence, authoritative third-party validation and a consistent record of actual behaviour are scarce by comparison, and that scarcity is precisely what gives them weight when a machine goes looking.

The practical question is what independently verifiable material exists about you, how current it is, and whether it holds up when a system reconstructs your reputation on someone else's behalf.

https://www.brandghost.ai/observatory

08/18/2026

"How women leaders communicate in a crisis – including whether they use gender-stereotypical language – can either support or undermine their position of power."

How women leaders communicate in a crisis – including whether they use gender-stereotypical language – can either support or undermine their position of power.

08/18/2026

"When BetterUp Labs and Stanford University's Social Media Lab researchers studied what predicts low-quality AI output — content that looks polished but lacks substance and creates more work for others — they found that the biggest predictors weren’t individual traits, but environmental factors: whether AI was mandated or encouraged, how much trust existed in the organization, and how leadership communicated about AI.

The finding has a direct implication for how organizations design their AI rollout. How leaders communicate about AI, and whether those statements are consistent with actual decisions, shapes behavior across the entire organization.

When leaders frame AI use as compliance — demonstrate proficiency by the end of quarter or hit an adoption rate target — employees are significantly more likely to outsource their thinking to AI. When leaders frame AI as a tool for growth and exploration, the conditions for genuine experimentation between AIs and humans take hold.

Framing AI adoption as a democratization of capability shifted how employees experienced the transformation.

Every message about AI sends a signal and tells your people whether this transformation is something being done to them or something they’re part of.

When leadership makes a deliberate decision about how to frame AI rollouts from the beginning, instead of letting it be an afterthought, performance doesn’t stall."

— Marielle Leon

08/18/2026

How CEOs are becoming communications' most powerful asset
– PRovoke Media

“Drawing on research among 20,000 consumers globally, BBDO found that 78% of people now see CEOs as brands in their own right, while 61% say they trust a company more if they know who its CEO is.

The findings reflect a communications landscape in which executive visibility has evolved from a corporate affairs consideration into a core brand-building challenge.

‘We've got this obsession with creators, with influencers, with AI content, and yet one of the most powerful associations we can build with brands may actually be the person running the company. In a world of infinite content and declining trust, the CEO has become not just a spokesperson, but proof.’

That influence cuts both ways. According to the research, 82% of respondents believe CEOs can damage a brand more quickly than ever before, while one in two consumers say they actively avoid brands if they dislike the CEO representing the company.”

06/07/2026

One of the biggest mistakes leaders make during layoffs is assuming the main problem is the decision itself. More often, the problem is their explanation.

Employees can handle difficult news. They deal with reality every day. What they struggle with is leadership language that appears designed to obscure responsibility.

When management says “market conditions required this” or “the environment forced our hand,” employees often hear something quite different: no one wants to own the decision. What they conclude is that leadership lacks candour and courage, and is more concerned with avoiding blame than accepting accountability.

In our experience, people are far more likely to accept a difficult outcome when leaders explain plainly what happened, why it happened, and what factors were considered.

The instinct to soften bad news is understandable. But sugarcoating often creates a second problem: a credibility problem.

Layoffs are ultimately a test of leadership communication. Not because a message can remove the pain, but because it reveals whether leadership is willing to speak honestly — and with genuine concern for the people affected — precisely when that is hardest to do.

05/24/2026

What makes messages persuasive?

University of Pennsylvania psychology researchers tested three kinds of message:

1.
What someone thinks about a product (“I liked it”)

2.
What they did (“I bought it”)

3.
Both combined (“I liked buying it”)

The combination won, and the reason matters.

Messages that fuse belief with action let the reader mentally simulate doing the thing themselves. Imagined action moves real action.

The implication for corporate and leadership communication is direct. Too many institutional narratives stay abstract: values without behaviour, positioning absent action, aspiration unmatched by reality. Too much messaging is churned out that gives audiences something to agree with, but nothing to picture themselves actually doing.

If the research extrapolates – and I think it does – then communication tied to observable conduct and lived experience will out-persuade detached institutional language.

In an age of AI-generated content and eroding trust in institutions, messaging that feels – and is – behaviourally real becomes a public relations persuasion advantage.

05/20/2026

"Here’s the challenge: in an era of increased scrutiny, where AI can generate perfectly polished corporate-speak in seconds, the impulse for companies is to push for the high-gloss statements that cover every angle. Stakeholders have become expert BS detectors. They’ve seen enough algorithm-optimized messaging to know when they’re being managed rather than leveled with. AI is challenging our notions of authenticity, which makes a real human connection even more important."

https://chiefexecutive.net/leadership-transitions-demand-honesty-not-just-press-releases/

Handled well, a leadership transition is less a single announcement than a series of deliberate, human moments that rebuild trust one interaction at a time.

05/13/2026

A webinar this morning co-hosted by KRG Advisors and Ipsos on "The Paradox of Strategic Silence: When to speak; What to say; How to Listen" provided some provocative PR data points. Note the 57% of the public who agree that "If a corporation takes a stand on an issue, they should stick by their decision, even if it makes some consumers angry."

05/01/2026

"Vertical stripes are slimming."

It's one of the oldest pieces of conventional wisdom in professional dress. It also appears to be wrong, and has been contested in peer-reviewed research for over a decade.

The belief itself dates to at least 1813, when researchers traced it to a Japanese beauty handbook from the late Edo period. Two hundred years on, perception scientists keep finding the opposite. A 2011 study in Perception showed that horizontal stripes can make a figure appear narrower, not wider, by a measurable margin. Replications across body sizes have largely held. New 2026 research refines the picture further: pattern spacing, stripe type, and even viewing angle from front to back can flip the result.

The fashion is incidental. The interesting question is how a piece of received wisdom hardens into truth and gets repeated for two centuries without anyone testing it.

Leadership communication is full of these. Always lead with the ask. Never read from notes. Open with a joke. Mirror the room. Wear the power colour. Some of it holds up under scrutiny. Much of it is folklore in a good suit.

Medium matters too. A pinstripe that reads as authoritative across a boardroom table can shimmer and crawl on camera — the moiré effect — turning a deliberate choice into an unintended distraction. Newscasters are coached to avoid the patterns that cause it. The same outfit, in two settings, sends two different signals.

Image is read quickly, and largely below the level of conscious thought. The small details do move perceptions of authority and credibility. Which is precisely why executives should not outsource those details to clichés.

Resonant image has to belong to the leader, not the playbook. An image that isn't the leader's own will read as costume.

https://www.psypost.org/science-debunks-the-fashion-myth-that-vertical-stripes-are-always-slimming/