B2B Trust Signals for Generative Models

Ignore it at your peril: Domain authority’s generative AI facelift is already upending SEO in massive ways. It’s a profound reputational trust signal for large language models (LLMs) that increasingly shape what people see, know, and believe. The best PR and advocacy campaigns have always understood this: 📣 Get quoted in The Wall Street Journal or GovTech(or similar trade publication) 🧠 Land in a respected journal or .gov brief 🎤 Amplify through experts and third parties But here’s what’s changed: In the past, you could fake it with keyword stuffing, clever backlinks, or glossy brand PDFs. Now, LLMs don’t just crawl the web. They rank trust and they’re ruthless about what counts. You can’t cheat your way into AI’s top answers. You have to earn your place. Here’s what it takes in 2025 versus 2023: 1️⃣ It’s not just about your site—it’s your full reputational footprint. LLMs love to elevate: 💘Credible news outlets that cite you (and that have licensing deals with one of the big engines like OpenAI) 💘.gov/.edu domains linking to you 💘Peer-reviewed publications and vetted transcripts 💘Podcasts, hearings, and expert panels where your message shows up If your story lives only or mostly in branded spaces, it may not train the model at all. 2️⃣ Repetition = Recognition Generative AI doesn’t care too much about your one-off splash. It cares about consistent signals from multiple credible sources beyond you. In this world, repetition ≠ spam. Repetition = truth. 3️⃣ A company blog ≠ a quote in STAT News LLMs reward: ✅ High-trust, long tenured media platforms ✅ Named experts with credible bios ✅ Clean, traceable attribution and citations. ✅ Crawlable, licensed open-access content They discount: ❌ Anonymous thought leadership ❌ PDFs with no metadata ❌ Vague, overpolished brand-speak and advotorial ❌ Untrusted or parody “news” sites. 4️⃣ Real authority = being cited, not just being loud To influence models (and humans), your message needs: 📍 Attribution 📍 Verifiability 📍 Third-party alignment You’re not just training GPT—you’re training the ecosystem around it. ⚠️ TL;DR: You’re no longer building domain authority for old school Google. You’re building it for ChatGPT, Gemini, Claude; and every policymaker, journalist, investor, or patient asking them for answers. This is reputational infrastructure. And in the generative AI era, domain authority is narrative authority and it must be EARNED the old fashioned way. Build it with intention folks or be left behind

Does generative AI recommend your business for the service you provide? If not, here’s why it matters and what to do about it. AI assistants are already shaping buyer behavior by suggesting providers based on authority, trust, and consistency. Whether it’s Google’s AI overviews, ChatGPT plugins, or LinkedIn’s recommendation engine, your company is either in the mix or invisible. Here’s how to get cited, recommended, and remembered: Step 1: Own your presence Make sure your Google Business profile, LinkedIn page, and key directories (Clutch, G2, Trustpilot, etc.) are fully updated, with consistent positioning and strong keywords. Step 2: Build public proof Get authentic reviews. Use screenshots, video testimonials, and tagged LinkedIn case studies. This is the data AI uses to assess credibility. Step 3: Get cited in the right places Contribute insights on Reddit, Quora, and industry forums. Get backlinks from relevant websites. Publish your how-tos and frameworks not just on your blog, but on Medium, Substack, or guest posts where search engines already look. Step 4: Act like a media company Post thought leadership. Teach what you know. Share wins and lessons learned. When your name keeps coming up in the right conversations, the algorithm notices. We used to optimize for impressions. Now we optimize for inclusion, in recommendation engines and trust layers. Curious if you’re positioned well enough to be cited by generative AI? I’ll show you how we test this in campaigns, message me. #GTM #B2BMarketing #AI #LinkedInGrowth #DigitalAuthority

GenAI chatbots just became the #1 most trusted source of information for B2B buyers (G2)… what does this mean for your marketing? 𝐒𝐡𝐨𝐫𝐭 𝐚𝐧𝐬𝐰𝐞𝐫: If you don’t show up in these conversation, you’re out of their vendor shortlist. 𝐋𝐨𝐧𝐠 𝐚𝐧𝐬𝐰𝐞𝐫: 77% of buyers won't talk to a salesperson until they've done their own research (Gartner). They do this research in multiple ways but AI is the top trusted source. AI doesn't come up with these answers totally on their own... To get on AI's trust radar, you need three things: → Authority: credible sources, internal data, citations  → Reach: published where AI can find it and index it → Repetition: a clear message across multiple channels LinkedIn marketing hits the three points above, assuming you do it well. When AI cites a CEO's content (not a corporate account), buyers see the person behind the insights. Check the track record. Build trust before any sales conversation. Plus, their LinkedIn profile is linked. So even if they're not ready now, they might follow and continue consuming their content, increasing your chances of being selected as a vendor. I've added two of dozens of examples of my clients being cited in genAI. Every post, every insight, every piece of data you share is training AI on whether you're worth recommending.