Episodi

  • Five ways to demonstrate your expertise on LinkedIn
    Oct 19 2026
    Five practical ways to turn everyday professional judgement and existing work into evidence others can assess.You use your expertise every day, but how much of it can someone see when they look you up? A job title, a list of services and years of experience provide context. Someone considering your work also needs examples that show how you think and what you contribute.In this episode of The Visibility Advantage, LinkedIn® strategist Lynnaire Johnston shares five practical ways to demonstrate expertise using questions, decisions and work you already have. The episode is for professionals and business owners who want their value to be easier to understand without adding an overwhelming content workload.Drawing on her own work, including two assessments of Out There Branding’s Company Page, Lynnaire explains how to connect a clear professional description with evidence that supports it. You’ll hear how a question can reveal judgement, why explaining a decision matters and how a useful resource can demonstrate your approach. You’ll also learn how to describe outcomes accurately and make your strongest evidence easier to find. The starting point is manageable: choose one area of expertise and one example that supports it.Five key takeawaysAnswer a recurring professional question by explaining what you need to know before recommending an approach and which circumstances would change your answer.Reveal the reasoning behind a decision by describing the realistic alternatives, the trade-offs and the factor that carried the most weight.Share a useful piece of work with enough explanation for someone outside the project to understand its purpose and relevance.Describe the problem, your contribution and the change you can substantiate, giving others credit where appropriate and distinguishing recommendations from completed outcomes.Give relevant evidence a deliberate home in your LinkedIn Featured section, Experience descriptions or website so people can find support for your main claim of expertise.Chapters2:43 – Choose the expertise you want recognized4:10 – Answer a question using your judgement6:48 – Explain a decision9:21 – Show a useful piece of work11:49 – Describe your contribution and what changed15:55 – Make your evidence easy to find18:21 – Choose one thing to do nextIn this episodeThe episode begins with a question about relevance: what expertise do you want another person to recognise? A long career can produce many examples, but the most useful evidence supports the work or opportunities you want now. A clear description gives someone a starting point; a specific example helps them assess your contribution.The first approach starts with a question you regularly answer. Lynnaire uses the choice between LinkedIn articles and posts to illustrate how the purpose and substance of the communication inform the recommendation. Explaining what you consider before answering gives people a way to understand your judgement and make a better decision themselves.The second approach examines decisions. The options you considered, the compromise you accepted or the reason you changed earlier advice can reveal expertise that a finished recommendation conceals. Lynnaire discusses revising her advice on video format as feed presentation changed. The point is to explain the context behind advice and when it needs reviewing.The third approach involves sharing a useful piece of work. A checklist, framework, annotated extract or part of an assessment can demonstrate your approach when accompanied by a clear explanation. Lynnaire uses the Link∙Ability Authority Audit as an example of turning a strategic question into something a professional can examine for themselves.The fourth approach uses the problem, contribution and change as the structure for a concrete example. Out There Branding’s July assessment found that its content communicated a more focused strategic approach than its formal Company Page description. By September, the banner, tagline and Overview were clearer and more consistent. The next recommendation was to broaden the evidence published directly by the business, alongside material shared from founder Roy Kowarski. The documented improvement concerns positioning and communication; the assessments do not establish increased sales or enquiries.The fifth approach considers how easily someone can find the evidence. Relevant examples can have a deliberate place in Featured, Experience or a website. Specific recommendations can also provide useful context about your contribution. The episode closes with a small next step: identify one area you want to be known for, find an existing example and explain what it demonstrates.Put one idea into practiceStart with something you have already done. Write down a question you answered this week, a recommendation you made or a resource you use to clarify a problem. Identify the part that reveals your judgement, then explain it in language ...
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    21 min
  • Is AI Recommending You or Your Business?
    Oct 5 2026
    Being found by AI does not necessarily mean being recommended when a prospective client asks who they could work with.For that recommendation to be useful, the answer needs to connect your expertise with the person’s particular challenge – and give them a credible reason to consider you.Following our exploration of professional authority in episode 10, this conversation examines how that authority can translate into visibility in AI answers, including the role of your website, published content and evidence beyond your own claims.In this episodeLynnaire speaks with Tony Restell, founder of Social Hire (social-hire.com), about the company’s recently launched AI search optimisation service and what his team has learned from applying its approach to their own business and early clients.Tony describes the shift he has observed from search results that present links towards AI answers that recommend providers and explain those recommendations. He outlines three areas of work: making website information easier to interpret, building external evidence of credibility and publishing answers to questions prospective clients ask.The conversation explores why a clear specialism can give a business a more focused opportunity to appear in relevant answers, and why someone researching a challenge may encounter your expertise well before they are ready to contact a provider.Lynnaire and Tony also discuss the role of personal LinkedIn® articles and newsletters, attribution of original ideas, and the challenges of measuring visibility across tools that can produce different answers for different users.Five key takeawaysBeing discoverable means information about you can be found; being recommended means your expertise is presented as relevant to someone’s needs, ideally with reasons for considering you.Clear positioning around particular audiences and challenges gives prospective clients – and the systems they use – a more specific picture of where your expertise fits.Your own website is only part of the evidence available about you. Relevant reviews, independent mentions and other credible external sources can support what you say about your expertise.Content that answers prospective clients’ practical questions can introduce your expertise before they begin actively looking for a provider.AI visibility needs to be assessed across relevant questions, tools and occasions. One favourable answer does not establish a consistent recommendation or demonstrate a business outcome.Episode chapters1:00 – From visibility and authority to AI recommendations2:43 – The shift in buyer research and search behaviour8:38 – Schema markup and making website information understandable15:00 – Social Hire’s experience and early client examples22:03 – Early adoption, citations and attribution27:00 – External credibility and questions that show buyer intent33:36 – The role of LinkedIn articles and newsletters36:57 – Testing visibility across AI tools45:43 – Who can benefit and how to contact Tony48:03 – What businesses misunderstand about AI discoverabilityExamining your own AI discoverabilityBegin by identifying a specific situation in which you would want a prospective client to find you. What challenge are they facing, and what expertise would make you a suitable person or business to consider?Then examine three areas:Understood – Does your website clearly explain who you work with, what you do and the challenges you address? Ask your website provider what structured data is already in place and whether it accurately represents your visible content.Supported – What credible evidence beyond your own descriptions supports your expertise? Look at relevant reviews, recommendations, interviews, published work and independent mentions.Useful – Does your public content answer the questions people ask before they decide to engage someone? Review existing articles and resources before assuming you need to create more.Finally, test a small set of relevant questions across several AI tools and record the results over time. Distinguish between a mention, a citation linking to your content and a recommendation explaining why someone might choose you.Schema markup is one element to investigate, rather than a guarantee of recommendations. Google states that no special schema is required for its AI Overviews or AI Mode, and that established SEO fundamentals remain relevant. Structured data should reflect information visitors can also read on the page.About Tony RestellTony Restell is the founder of Social Hire, which has worked with B2B businesses on social media marketing and social selling since 2012. The company has recently expanded its services into AI search optimisation.Connect with Tony:https://www.linkedin.com/in/tonyrestell/Social Hire’s AI search optimisation service:https://social-hire.com/ai-search-optimization-geo-servicesResources mentioned and further readingFrom Benchmarks to Blueprints:...
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    52 min
  • LinkedIn Attention: What Makes Content Worth Stopping For?
    Sep 7 2026

    There is more content competing for our attention on LinkedIn® than ever, and no shortage of advice about how to “stop the scroll”.

    But can anyone really know what will make another individual stop?

    LinkedIn itself increasingly treats relevance as highly individual, using hundreds of signals and sophisticated AI systems to determine what each member may want to see. Perhaps, then, the more useful question isn’t simply how to capture attention, but what we give people in return when we get it.


    In this episode

    Lynnaire questions one of the most persistent assumptions in LinkedIn content strategy: that there is a reliable formula for stopping people as they scroll through the Feed.

    She shares what happened when she deliberately observed her own behaviour on LinkedIn for several days – what made her stop, what she ignored and how inconsistent even one person’s attention turned out to be.

    She also explores the difference between attracting attention and building professional visibility; why competent content is becoming less distinctive as content production becomes easier; and why expertise, experience, evidence, judgement and interpretation may matter increasingly in an abundant content environment.

    Finally, she looks beyond the individual post to what happens when good content creates curiosity. If somebody decides to investigate the person behind the post, the rest of their LinkedIn presence needs to substantiate the impression that content has created.


    Five key takeaways

    • Treat “scroll-stopping” techniques as ways of increasing the possibility of attention rather than guarantees of it. Relevance, relationships, interests, timing and the reader’s own circumstances all influence what gets noticed.
    • Don’t confuse competent content with distinctive contribution. As polished content becomes easier to produce, what you know, have experienced, observed and can meaningfully interpret becomes more important.
    • Remember that attention and professional visibility are not the same thing. A post can attract enormous numbers of views without necessarily building recognition, authority or association with your expertise.
    • Make sure the professional presence behind your content substantiates the impression your content creates. If somebody becomes curious about you, your LinkedIn profile needs to provide evidence of who you are, what you know and why your perspective carries weight.
    • Instead of asking only “How do I stop the scroll?”, ask why this content matters, why you are the person to create it and what somebody receives in return for giving it their attention.


    Episode chapters

    1:30 – Are we asking the wrong question about attention
    2:35 – There is more content competing for our attention
    4:20 – What actually makes me stop
    7:28 – My attention isn’t consistent. Why would yours be
    8:02 – LinkedIn is trying to solve the same problem
    10:15 – Attention isn’t necessarily valuable
    14:29 – Content is abundant. Contribution isn’t
    16:26 – What happens when somebody wants to know more
    16:51 – I’m not going to give you the answer


    The Link∙Ability Blueprint

    The Link∙Ability Blueprint is the strategic framework underpinning Lynnaire’s approach to professional visibility, bringing together Discovery, Perception, Connection and Momentum to build visibility, credibility and opportunity.

    linkability.biz/services/the-linkability-blueprint


    About Lynnaire Johnston

    Lynnaire Johnston is a LinkedIn® + AI Visibility Specialist, author of Link•Ability, four powerful strategies to maximise your LinkedIn success and the co-author of Business Gold, Build Awareness, Authority and Advantage with LinkedIn Company pages.

    She works with business owners and senior professionals to build purposeful visibility, credible authority and stronger discoverability in the AI era.


    Explore more from Link•Ability

    Find podcast episodes, practical LinkedIn® and AI guidance, videos, articles, books and Link•Ability guides – all in one place: linkability.biz/about-us/resources


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    20 min
  • Momentum: Why Visibility Compounds Over Time
    Aug 24 2026

    Professional visibility rarely produces its most valuable results immediately.

    An enquiry, recommendation, speaking invitation or approach about a new role may appear to come out of nowhere. But behind that opportunity may be months or years of accumulated evidence – a LinkedIn® profile, articles, conversations, recommendations, podcast appearances and other encounters that gradually build recognition and credibility.

    Momentum is what allows that evidence to accumulate.


    In this episode

    Lynnaire explores Momentum, the fourth and final pillar of the Link∙Ability Blueprint, and why it is very different from simply being more active on LinkedIn.

    She looks at how recognition develops into association, corroboration and authority; why stop–start visibility makes professional discoverability harder; and why maintaining Momentum doesn’t require becoming a content machine.

    She also shares two contrasting real-world examples. In one, years of accumulated visibility resulted in Lynnaire being repeatedly recommended by AI to someone looking for a conference presenter – ultimately leading to two paid workshops. In the other, a business owner with more than 20 years’ experience has built almost no visible Momentum on LinkedIn despite having the expertise and professional advice to do so.


    Five key takeaways

    • Treat professional visibility as something that accumulates over time rather than a campaign you activate only when you need an immediate result.
    • Focus on continuity of meaning rather than simply frequency, so your visible activity reinforces what you want people to associate with your name.
    • Build evidence across your profile, content, relationships and wider professional presence so recognition can develop into association, corroboration and authority.
    • Maintain a level of visibility activity you can realistically sustain rather than an ambitious programme that disappears when work becomes busy.
    • Measure LinkedIn statistics where they’re useful, but remember that recommendations, conversations, AI discovery and other valuable outcomes often happen beyond what analytics can show you.


    Episode chapters

    3:41 – What Momentum really means
    6:50 – Why visibility loses Momentum
    12:11 – What Momentum builds
    14:36 – People aren’t the only audience anymore
    16:11 – When Momentum turns into opportunity
    18:22 – When Momentum never gets started
    21:19 – Momentum makes the Blueprint a system
    22:36 – Building Momentum you can maintain
    26:34 – The compounding effect
    27:45 – Don’t confuse Momentum with metrics
    29:12 – Momentum needs direction
    30:11 – The complete Link∙Ability Blueprint


    The Link∙Ability Blueprint

    The Link∙Ability Blueprint is the strategic framework behind this episode, bringing together Discovery, Perception, Connection and Momentum to build visibility, credibility and opportunity.

    linkability.biz/services/the-linkability-blueprint


    About Lynnaire Johnston

    Lynnaire Johnston is a LinkedIn® + AI Visibility Specialist, author of Link•Ability, four powerful strategies to maximise your LinkedIn success and the co-author of Business Gold, Build Awareness, Authority and Advantage with LinkedIn Company pages.

    She works with business owners and senior professionals to build purposeful visibility, credible authority and stronger discoverability in the AI era.


    Explore more from Link•Ability

    Find podcast episodes, practical LinkedIn® and AI guidance, videos, articles, books and Link•Ability guides – all in one place: linkability.biz/about-us/resources


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    33 min
  • Seriously, LinkedIn – What Are You Doing? With John Espirian
    Aug 10 2026

    LinkedIn® is changing – but it is not always clear what those changes add up to or where the platform is heading.

    Organic reach has fallen. Paid visibility is becoming more prominent. AI is influencing what we see, what we create and how expertise is discovered beyond LinkedIn itself. Meanwhile, professionals and businesses are trying to determine which activities still matter and where their time is best spent.


    In this episode

    Lynnaire is joined by recognised LinkedIn expert and host of the Informed podcast John Espirian for a candid discussion about the platform’s direction and what it means for professional visibility.

    They explore the value of comments and private conversations, how LinkedIn content may contribute to answers generated by external AI tools, and why the quality and consistency of your visible expertise still matter – even when individual posts receive disappointing reach.

    They also consider the growing importance of private communities, the challenges facing people who are only beginning to build their professional presence, and the human behaviours that can make someone noticed and remembered in an increasingly automated environment.


    Five key takeaways

    • Organic reach may be declining, but meaningful visibility should not be judged by the performance of an individual post alone.
    • Thoughtful comments can introduce your expertise to new audiences, particularly when they lead to genuine conversations and relationships.
    • LinkedIn content appearing in search engines may influence the information and sources used by external AI tools.
    • A well-developed profile gives potential clients, employers and other decision-makers evidence of your expertise when they investigate you.
    • Voice notes, video messages, personal introductions and meaningful private conversations provide human signals that automated content cannot easily reproduce.


    Episode chapters

    0:59 – Introduction – Seriously, LinkedIn, what are you doing?
    2:48 – What is LinkedIn trying to do?
    4:41 – Should we spend more time commenting?
    8:56 – Can external AI tools find LinkedIn content?
    13:11 – Do content quality and views affect AI discoverability?
    15:41 – Will private communities become more important?
    20:11 – How can someone starting now build visibility?
    24:41 – Which new LinkedIn features are worth watching?
    30:30 – What can make us more memorable in the age of AI?
    33:11 – Closing reflections


    About John Espirian

    John Espirian is an independent LinkedIn trainer and consultant, author of the personal-branding handbook Content DNA, leader of the Espresso+ community and host of the long-running Informed podcast.

    Known for his “relentlessly helpful” approach, John teaches business owners how to become noticed, remembered and preferred.

    Connect with John and explore his work

    John Espirian on LinkedIn:
    linkedin.com/in/johnespirian/

    Informed podcast – John’s long-running podcast sharing practical advice about LinkedIn, content and personal branding:
    espirian.co.uk/informed/

    Espresso+ – John’s private membership community for small business owners who want to build their personal brands and become noticed, remembered and preferred:
    espirian.co.uk/join/


    About Lynnaire Johnston

    Lynnaire Johnston is a LinkedIn® + AI Visibility Specialist, author of Link•Ability, four powerful strategies to maximise your LinkedIn success and the co-author of Business Gold, Build Awareness, Authority and Advantage with LinkedIn Company pages.

    She works with business owners and senior professionals to build purposeful visibility, credible authority and stronger discoverability in the AI era.


    Explore more from Link•Ability

    Find podcast episodes, practical LinkedIn® and AI guidance, videos, articles, books and Link•Ability guides – all in one place: linkability.biz/about-us/resources


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    36 min
  • The ten-minute habit that makes senior leaders memorable
    Jul 27 2026

    A few months ago, someone left a considered comment on a LinkedIn post about hybrid work policy. Three lines, nothing clever – just a thoughtful pushback on one part of the argument, backed by what she’d actually seen work in her own team. She’d probably forgotten writing it within the week. Six weeks later, it was the reason her name came to mind when someone needed to fill a seat on a leadership panel. That’s Connection: not virality, not reach – a comment, remembered, at the moment it mattered.

    In this episode

    Lynnaire Johnston introduces Connection, the third foundation of the Link•Ability Blueprint, building on the Discovery and Perception foundations covered in earlier episodes. She explains why building meaningful professional presence doesn’t require a content calendar — just ten focused minutes spent in the right places. Lynnaire unpacks the mechanics behind micro-interactions, strategic generosity, relational visibility, network alignment, and long-term trust-building, then translates each into three concrete weekly actions: leaving a genuinely substantive comment, sending a direct message that opens a real conversation rather than a pitch, and auditing network alignment against where a leader is actually headed.

    Key takeaways

    • A generic comment like ‘Great post’ or ‘Couldn’t agree more’ costs nothing and earns nothing. A substantive comment does one of three things: it adds a data point the post didn’t have, extends the argument somewhere it didn’t go, or disagrees — specifically, with a reason.
    • Ten minutes a day is enough to build Connection. Not ten posts — ten minutes spent on three or four comments that actually say something.
    • The most effective LinkedIn direct messages reference something specific and carry no ask attached. A generic connection request, or a message angling for something, closes a conversation before it opens.
    • Professional networks drift by default, not by design. Periodically auditing who you’re actually engaging with against where you want to be in twelve to twenty-four months keeps your attention aligned with your goals rather than your history.
    • Trust built through consistent, low-key presence compounds. It’s worth more eighteen months from now than any single post that performs well for a week and is forgotten the next.

    Links mentioned

    • Link•Ability Blueprint – the system Lynnaire uses with every client. linkability.biz/services/the-linkability-blueprint
    • Executive Strategic Visibility Review – A one-off audit that reveals exactly where your visibility stands across all foundations of the Blueprint.

    Take the next step

    If you’re not sure whether your comments, your messaging, or your network alignment need the most attention right now, the Executive Strategic Visibility Review is built to show you exactly that. It’s a one-off audit that reveals where your visibility stands. You’ll find the details in the links above.


    Explore more from Link•Ability

    Find podcast episodes, practical LinkedIn® and AI guidance, videos, articles, books and Link•Ability guides – all in one place: linkability.biz/about-us/resources


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    15 min
  • Every AI sees a different you: what AI rewards and how to close the gap
    Jul 13 2026
    Every AI tool composes its own version of you and this episode shows senior leaders what those systems reward, and how to close the gap between their expertise and their visibility. When one Link•Ability member gave the same prompt to ChatGPT, Claude, Gemini, and Perplexity — incognito — she received four noticeably different professional reputations. Lynnaire Johnston returns to Perception, the second foundation of the Link•Ability Blueprint, to unpack why AI rewards coherence over credentials. The 2026 research is blunt: around 75% of AI-cited LinkedIn content comes from individual profiles, just over half of cited voices have fewer than 10,000 followers, and content older than a year barely registers. You'll learn how to run the four-model test on yourself, audit the alignment between your profile and your activity, and publish content AI can actually cite – specific, structured, named, and fresh. Being found is only half the game; being trusted is the other half.SHOW NOTESA board chair, a conference organiser, and a prospective client each put your name into an AI tool and each one may receive a different version of you. When one senior professional gave the same prompt to ChatGPT, Claude, Gemini, and Perplexity, incognito, the four tools composed four noticeably different professional reputations from four different corners of her footprint. You don't control which version the decision-maker sees. But you can control whether every version tells the same story.In this episodeLynnaire Johnston returns to Perception, the second foundation of the Link•Ability Blueprint, because the evidence has caught up with the argument she made last episode. She explains why AI rewards coherence over credentials – parsing the alignment between your profile, your content, and your activity rather than weighing your CV – and why these systems give no second chances to presences that don't add up. Drawing on converging 2026 research from Meltwater, Semrush, and Profound, she breaks down what actually predicts whether AI surfaces you: individual voice, relevance, structure, and freshness – not reach. The episode closes with three practical actions any time-poor senior leader can take this fortnight, and an honest look at where trust fits once the machines have found you.Key takeawaysYou don't have one AI reputation – you have one per model. Test it yourself: open a private browser window (logged out, so results aren't personalised), and give ChatGPT, Claude, Gemini, and Perplexity the same prompt: ‘What can you find out about [your name], [your field], based in [your city]?’ Compare which sources each tool leans on, what's outdated, what's missing, and whether your expertise is described the way you'd describe it.AI parses signal, not CVs. It reads whether your headline, About section, and activity tell one coherent story and when they contradict each other, it doesn't investigate; it moves to the next legible profile. Coherence has to be built in advance, because it cannot be explained afterwards.Reach does not predict AI visibility. Just over half of the creators AI tools cite have fewer than 10,000 followers, and the 1,000–10,000 band contributes the single largest share of citations. Clarity and credibility beat audience size which means the field is more open to senior experts than most assume.A dormant profile is an active negative signal. Nearly half of AI-cited content is under three months old; content older than a year barely registers. One clear, substantive post a fortnight, sustained, does more for discoverability than a viral moment followed by silence.Publish for the citation layer using four words: specific, structured, named, fresh. Take a position on a real question, give your thinking a visible shape, name the actual tools and frameworks you mean, and keep the cadence going.Links mentionedLink•Ability Blueprint – the system Lynnaire uses with every client. linkability.biz/services/the-linkability-blueprintMeltwater GenAI Lens research (May 2026) – analysis of 9.5 million AI citations across 16 B2B categories. meltwater.com/en/resources/linkedin-gen-ai-visibility-reportProfound research (March 2026) – LinkedIn as the most-cited domain for professional queries across six AI platforms. tryprofound.com/blog/linkedin-is-the-most-cited-domain-for-professional-queries-in-ai-searchSemrush × LinkedIn study (March 2026) – 325,000 prompts across ChatGPT Search, Google AI Mode, and Perplexity. semrush.com/blog/linkedin-ai-visibility-study/Take the next stepIf you ran the four-model test in your head while listening and didn't love the answer, the Link∙Ability Blueprint is designed for exactly this moment. It’s a strategic framework for LinkedIn visibility, credibility, and opportunity in the AI era. It explains how LinkedIn and AI systems actually work – and what professionals need to build before visibility, credibility, and opportunity can compound. At linkability.biz...
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    26 min