Zen Media ads

This is likely the biggest visibility update I’ve written all year for PR@ctical. If your 2026 comms plan still feels like 2024… this week’s newsletter is a must-read. 🔗 Read the full edition here:

Answer Share and your Prompt Discovery Index will become two of the most critical KPIs in your entire go-to-market stack. (hint: https://lnkd.in/eZ2DcvnJ)) Here is why. At my keynote earlier this week, someone asked an excellent question about how to show up in AI-based answers (AEO). I immediately had a flashback to when I was first teaching people about SEO 15 years ago. The reality is, the tech has changed, but the math hasn’t. Visibility still boils down to two things: What you say about yourself. What others say about you. The difference today? You can't just check "keyword volume" to see if that second part is working. Millions of decisions now happen inside the "black box" of LLMs before anyone ever visits your site. That is why Zen Media built the system to track this. They are using a 1,000-Prompt Discovery Index (natural language prompts mapped to your ICPs and validated by humans) to see exactly what is happening inside generative search. It allows you to calculate your Answer Share. If AI systems determine what people read, trust, and buy, every brand has two mandates left: • Become the answer where you’re currently invisible. • Protect the places where you are already the answer. Don't go into 2026 blind. #AEO #GenerativeSearch #MarketingStrategy #SEO #AI

The earned media tier that impacts who shows up in AI answers is this one (and a new whitepaper breaking it down): Unless you have taken the time to research the generative search impact of every outlet, you may be treating all earned media as equal. It does not work that way right now. Some outlets influence AI answers. Others currently do not. If you are turning on your modern PR layer to shape generative search, this is one of the most important distinctions to understand. These outlets are part of an emerging category I call GenAI Referenced Media. It is a tier inside earned media based entirely on how AI systems ingest, classify, and reuse information. To be considered GenAI Referenced Media, an outlet must meet all three requirements: 1. It must be crawled through authoritative data sources These include Google News indexation, syndicated feeds, and structured databases that feed AI knowledge pipelines. 2. It must allow dofollow links This is one of the few direct signals AI systems use to classify a brand and anchor it to a topic. This is also the place where PR and SEO finally overlap. 3. It must publish structured content that AI systems can easily process Clear entities. Clear topics. Clear layout. This is what makes the content referenceable and reusable inside answers. If an outlet does not meet these requirements, it may still deliver strong human visibility, but it will not influence generative search. And impacting generative search = showing up in answers. This is a new and emerging tier and, honestly, it would take hundreds of hours to manually identify this. Luckily our team helps me expedite identifying which outlets are being used as answers. Whew! If you are modernizing your PR for generative search, this is the tier you must understand first. It decides whether your brand is findable, nameable, and repeatable inside AI generated responses. Read more in today's PR@ctical:

Had a call with a CMO yesterday who was genuinely confused about what just happened. [spoiler: https://lnkd.in/e4gHs6su] “We lost a $2 million deal to a company I’ve never heard of. They barely have any web presence.” Once we looked at his Prompt Index, it was obvious. They weren’t showing up when buyers asked ChatGPT or Claude. The competitor showed up in 55% of the answers. I’ve had this conversation six times this month. Different companies. Same problem. Their SEO is perfect. Their content marketing is dialed in. Their PR hits all the right publications. But none of it matters because buying questions have shifted to AI. By 2026, only two visibility metrics will matter: * Your Prompt Discovery. * Your Answer Share. Answer Share is simple to understand but difficult to track. It shows how often AI recommends you versus your competitors. If you are at zero percent, you do not exist where buying happens. Your buyer asks AI for recommendations. AI gives them three names. If you’re not one of them, the deal is gone before you ever enter the conversation. Here’s what we’re seeing right now: * Buyers are doing their entire research inside LLMs like ChatGPT and Claude * Boards want visibility metrics that tie directly to revenue * Google Analytics still shows site traffic, but deals close long before anyone visits a website And the hardest part? OpenAI won’t tell anyone what buyers are searching for. So you need to establish a baseline and then track: * Real buying questions * Mapped to your ICPs * Organized by buying journey stages We built this Prompt Discovery Index in-house and used: * Millions of analyzed prompts * Direct API access into the LLMs * Five developers validating every data point * Actual humans reviewing each result We are opening free Prompt Index analyses for a handful of companies. In it: - We show you where your company appears. - Where it doesn’t. - And the exact steps to fix the gaps. The first 20 companies get their analysis by December 1st. After that, we are booked through March. Fill out the form below to get yours. https://lnkd.in/e4gHs6su

What would you do if I could give you 1,000 prompts your ICPs are asking in ChatGPT and Claude and the exact places you show up (or don’t) in the answers? [spoiler: https://lnkd.in/g7Pg3s2d] We’re heading into 2026, and it’s now essential to know two things: - Your Prompt Discovery Index. - Your Answer Share. I’ve said for months that a modern metric would emerge to capture the true value of PR, content, and visibility work in the AI era. This is it. Until ChatGPT and its competitors offer real-time “prompt visibility” (think SEO’s keyword view, but for LLMs), this is the only credible way to see what’s really happening inside generative search. Here’s the simplest way to understand it: Answer Share = the number of answers you appear in versus competitors. And once you see this shift clearly, the pattern becomes obvious: If AI systems determine what people read, compare, trust, and buy… then every brand only has two visibility mandates left: 1) Become the answer where you’re currently invisible 2) Protect the places where you are already the answer Why this matters: • Millions of decisions now begin and end inside AI search • It’s the first board-ready metric that connects AI directly to PR, content, SEO, and brand visibility • Traditional analytics only track on-site behavior—AI decisions happen long before someone opens your site And one more thing: If someone tells you they can see real-time searches inside LLMs, it’s not true. What we’ve built is the closest possible benchmark available today: 1,000 natural-language prompts mapped to your ICPs, your category, your competitors, and your real buying journeys. It’s supported by: • Millions of prompts analyzed • API access into major LLMs • A five-developer AI team validating outputs • A human analysis layer correcting hallucinations and normalizing visibility There is no one—no one—who can give you more reliable AI visibility data right now. Your baseline is the starting point. Your Answer Share is the metric. Your Prompt Universe is the system. The brands that understand this first will have a measurable advantage heading into 2026. (Request your 1,000-Prompt Discovery Index from the link above.) #prompts #generativesearch #chatgpt #claude #openai #perplexity #communications #marketing #sales #business

Communications is fragmenting faster than most teams can keep up and now PR is splitting into two distinct pathways. If you’re nervous, that’s okay, you're likely already on the right path. It just helps to understand what is going on (and decide where to spend your efforts). First things first: Traditional earned media still matters. It supports reputation and awareness. Just like before, it sits on top of or just above the funnel, because we can’t truly measure awareness, credibility, and trust. It’s the pathway we’ve all known: the human pathway. But there’s now a second pathway emerging — one that runs underneath everything we’ve built in communications. It’s where visibility is shaped by how well your brand can be retrieved, cited, and reinforced by AI systems. This path determines whether your brand shows up when a buyer, investor, or journalist asks an AI a question your company should own. Machines don’t see the “vanity plan headlines” (because they don’t care). They see structure, consistency, and credibility loops. And here’s where it gets tricky: You can’t realistically run both alone. Each pathway takes a different type of focus, speed, and skill set. 👥 The human pathway demands relationships, storytelling, and message. 🤖 The machine pathway requires schema, backlinks, structured content, and prompt-based measurement. Trying to balance both without support leads to burnout (and none of us want that). That’s why modern PR now looks more like a system. ******* HOT TAKE: You’ll be hearing more about service-as-a-software models—agencies and systems built to support both traditional agency teams and brands alike. ******* You need to think about how to structure your modern communications team: -A strategist focused on reputation and earned authority. -A technical partner focused on retrievability and AI visibility. If you’re leading communications today, ask yourself: Are we set up for dual-pathway PR? If not, what do we need? Do our current media and content help human impact and machine performance? Do we have partners who can bridge the two? That’s how you win in both lanes. Brands that accept the two pathways, resource them intentionally, and measure them differently will build visibility that lasts. #PR #AIsearch #Communications #MarketingLeadership #DigitalVisibility #Strategy