Everyone in crypto: “We need to rank #1 on the scoreboard.” AI search: Ramp Network, @krakenfx, @moonpay and Transak hold 65.1% of share of voice, and none of them is in the ranked table of 18 players 👇

PayPal: 298.1M backlinks, #1 on the AI podium. krakenfx: 3.7M backlinks, not on the podium at all, yet two of the three most-cited domains in crypto on-ramps. Read that again. Links aren’t what AI engines quote 👇

Guess the most-mentioned name when AI engines discuss trademark registration services. Not LegalZoom. Not a law firm. It’s the USPTO at 24.8% share of voice. The office you file with is the biggest “competitor” in the answers 👇

“We’re visible in AI search.” Excellent. Now open a second engine. I looked at Era’s tokenized stock platforms report, and the useful stories sit underneath the averages. @coinbase , you appear in 39.7% of monitored answers, with an average Rank of 2.1. Bitget, your figures are 34.2% and 1.6. One team has broader coverage; the other appears earlier. I’d investigate different questions for each. Then there’s Bitget’s 80% Visibility in Claude versus 6% in ChatGPT. Before “we need more content” becomes another meeting, I’d compare the same prompts in both. @eco and @pionex have a more concentrated puzzle. Both reach 20% in ChatGPT. Eco also reaches 14% in Perplexity; Pionex records zero there. Both record zero in Google AI and Claude. Which answer contexts travel, and which stop at one engine? @Exodus Markets and 360X: your early average positions caught my eye. Visibility is 2.5% and 1.0%, respectively, but average Rank is 1.4 and 1.0. I’d read those appearances closely before expanding the content brief. Oasis Pro Markets has another useful lead: its top query asks about US-regulated tokenized stock platforms for retail investors. The next check is how answers explain access and eligibility—not whether the brand merely gets named. The source picture deserves equal attention. @CoinGapeMedia platform comparison and Investor.gov’s “Tokenized Securities” both appear among cited links. Product teams and content teams have something to compare here. The full article follows these gaps through buyer intent, cited evidence and a 90-day testing plan. Read it before turning an average into a strategy. Which industry should we cover next? Tell us in the comments—we’ll make a report on it. Want a plan you can act on to improve visibility on Google and in AI answers? Comment “AUDIT” for a free audit of your company’s visibility, plus practical next steps. #AISearch #TokenizedStocks #GEO

we reverse engineered vercel’s AI search playbook. the most visible platform in our audit. 55% visibility. average ranking: 1.4. netlify and cloudflare pages both at 38% visibility. here’s what they built: 1. next.js every time someone asks “how do i do X in next.js,” the answer can route back to the framework’s docs and vercel’s ecosystem. 2. the AI SDK when someone asks chatgpt “how do i add AI streaming to my app,” vercel has documentation specifically for that. they have a foothold in the entire “AI + frontend” category because they build the SDK. 3. a dedicated comparison hub vercel.com/kb/comparisons has individual pages: • vercel vs cloudflare: WAF, BotID vs Turnstile, Drop vs Direct Upload, Next.js runtime, TanStack Start runtime • vercel vs netlify: full platform, blob storage, drop deploy, Next.js runtime, TanStack Start runtime • vercel vs webflow cloud: full platform, Next.js runtime, Astro runtime each page is detailed and technical. not “we’re better.” actual feature-by-feature breakdowns. the AI has something specific to cite for each of those comparison queries. 4. a template gallery with deploy-ready templates each one is its own page. portfolio templates, ecommerce starters, AI app boilerplates, CMS setups. someone googles “next.js portfolio template” or asks chatgpt “how do i start a shopify store with next.js” and has another path to vercel. 5. courses and guides at nextjs.org/learn developers learn to build fullstack apps, with a clear path to deploying on vercel. the homework comes with a hosting provider. 6. a dedicated documentation site at ai-sdk.dev the SDK gives them relevant material for AI development queries that have nothing to do with hosting. the results from our Era audit: • vercel: 55% visibility. average ranking: 1.4. • netlify: 38% visibility. average ranking: 4.0. • cloudflare pages: 38% visibility. average ranking: 3.0. • render: 36% visibility. average ranking: 3.0. • railway: 30% visibility. average ranking: 4.5. vercel led share of voice at 23.7%. netlify and cloudflare pages tied at 14.1%. render followed at 13.3%, railway at 11.1%. the interesting part: netlify and cloudflare pages had exactly the same visibility. 38% each. but cloudflare pages had an average ranking of 3.0. netlify had 4.0. same visibility. different position in the answer. “we got mentioned” is apparently just the beginning of the meeting. vercel led on both visibility and average ranking in our sample. their framework, SDK, comparisons, templates, and tutorials give AI plenty of specific material to cite. the audit shows their lead; it doesn’t prove which asset caused it. the gap between vercel and its closest competitors was 17 percentage points in visibility. and roughly 1.7x in share of voice. showing up matters. where you show up matters too.

SEO has never had more metrics. And we’ve never been less sure who’s actually winning. Because the modern search journey rarely happens in one place. A potential customer might: - Google the product category - Read an AI Overview - Ask ChatGPT which company to choose - Open a comparison page - Check Reddit - Watch a review on YouTube Most SEO dashboards capture only one slice of that journey. So your organic traffic could be growing while your overall visibility is shrinking. You could collect hundreds of AI citations without being recommended once. You could have a DR of 80 while a competitor owns every query that signals buying intent. Revenue and conversions still matter most. But by the time they move, the underlying shift has already happened. That’s why we need a leading indicator for search visibility: Of all the commercially relevant questions your customers search or ask, how often do they find your company? And when they find it, is it merely cited — or actually recommended

Neocloud discovery has competing scoreboards. @digitalocean leads Era’s Share of Voice at 11.1%; Lambda has 8.2% and @CoreWeave 7.5%. Google Cloud leads Visibility among the podium five at 73.5%. The buying question matters.

we've been posting every day. This is our best-performing video to date what did we change? delivered clear value without any hoops or explanations, like for a 5-year-old and saved viewers $1500 in 23 seconds

An AI recruiting competitor can also shape the comparison. Era records 45 citation occurrences for a HireTruffle comparison and 42 for @Greenhouse. Check how vendor-authored comparisons frame your product and its alternatives.

South Korea’s plastic-surgery market has 3 different AI leaders. @viewhospital tops Era’s podium at 31.3% visibility. @JK_PSC leads share of voice at 19.8%. @bookimed leads podium citations at 84.

here's how to see AI traffic in your Google Analytics step by step:

The company leading AI search for cold-outreach mailboxes is Outreach.ai — a sales-execution platform. Google Workspace, Microsoft 365, Apollo and HubSpot complete the podium. The category AI describes is the outbound stack, not the inbox.🧵

excited to announce that we bent to the market for the first time ever, we're starting to post short-form content for @tryEraAI 1 creator, 1 editor, and yours truly at the director's seat lmk what you guys think, cringe much?

Prediction markets do not have one AI winner. @Polymarket leads Era’s podium with 8.1% Share of Voice and 573 citations. @Kalshi is slightly more visible (86.9% vs 86.4%) and has the better reported rank (1.4 vs 1.9)🧵

Era now autonomously publishes external mentions across 3 platforms AI agents cite: YouTube, Medium, and Substack We’ve seriously upgraded our Content Pipeline so it can autonomously generate mentions and improve rankings in both AI search and Google 1️⃣ We built semantic keyword clusters. They now form the basis for content plan generation, while SEO and AI-search keywords go directly into blog articles 2️⃣ We improved the prompts and image customization, so articles look solid rather than like templated AI slop 3️⃣ We added a large backlink analytics section 4️⃣ We added an editor for those who want more control before publishing The most interesting and unique feature is the generation of external mentions from “independent” accounts on high-DA websites cited by AI agents: 1️⃣ Audio podcasts on YouTube 2️⃣ Review articles on Medium 3️⃣ Newsletters on Substack + we also want to add Reddit, but it’s very expensive to work with [All of this is published fully autonomously!] It feels like we now have pretty much everything one can build for organic growth. The roadmap is slowly getting thinner, so next we’re going vertical—adapting the product to the needs and nuances of specific industries.

1/ We ran 50 crypto-exchange buyer prompts through ChatGPT, Perplexity, Google AI and Claude. @coinbase appears in 70.4% of answers. @krakenfx still owns more of the conversation. The queries and sources explain why. 🧵

spent some time reverse engineering how Cal went from basically unknown to the #1 scheduling tool recommended by ChatGPT: - they have 47 comparison posts ("cal vs calendly", "cal vs savvycal", etc.) + a lot more content around the category - each one is written almost exactly like an answer to a question you'd ask ChatGPT - they're listed in 23 niche directories most competitors completely ignored - their GitHub repo has 45,000+ stars - they have 200+ Reddit mentions with actual upvotes in relevant communities ChatGPT recommends Cal because Cal is already everywhere it looks for an answer. nothing mysterious here. they didn't get lucky with AI. they deliberately built this presence across search, directories, GitHub and Reddit. engineered visibility. and none of this is impossible to replicate.

OpenAI killed a feature last month and took part of our product roadmap down with it. Best thing that's happened to us this quarter. Last week we did a small rebrand: era.shopping moved to tryera.ai. The short version — we killed agentic commerce. When ChatGPT shipped checkout, agentic commerce was our novelty edge. The thing that made us different. A few months in, it didn't pan out. And the way it didn't pan out is more interesting than the fact that it did. Investors were curious. Curious enough to take the call — not curious enough to write the check. Brands were even worse. They love to say "AI" loudly, but in practice they do almost nothing about it. And this is with us working alongside experienced people from the ecom industry, doing a ton of outreach, getting press. Result: not a single enterprise contract on the agentic commerce side. Meanwhile — on plain GEO and AI SEO — customers came to us on their own. No convincing required. That's the whole signal right there. One side we pushed hard and got silence. The other side we barely pushed and got pulled. The last nail: OpenAI didn't approve our merchants' applications, and then rolled back the entire checkout functionality altogether. So even the brands who were in couldn't move. So we decided to stop confusing our customers and ourselves. Two directions was one too many. We're doubling down on what actually works and what people actually need. We'd had a working product and paying customers on AI SEO for a while — the name and the domain were the last splinters sticking out of all our marketing. So now we're just Era® — the new era of marketing, the new era of search, the new era of SEO (just not shopping yet). P.S. This changes the product too. We're now focused on building a fully autonomous GEO/SEO agency. For customers, these are inseparable tasks, and there's no functional reason to box ourselves in when we can integrate SEO keywords, backlinks, and auto-publish content that promotes the brand across every type of search. Stay tuned for the new features and updates! And as always, comment AUDIT to get a free AI visibility report for your 🫵 brand (now with keywords and backlinks)

Yooo, randomly discovered @tryEraAI is in @CBinsights report on GEO tools! Didn't expect it as a new kid on the block, but I guess all my sweat and blood on branding start paying off...