This is going to change everything: OpenAl just introduced businesses in ChatGPT.
You can claim your business, keep everything up to date, and get insights.
If you go to https://t.co/n8zttcSaPf, you can search businesses that are already part of this beta.
How you can claim your business from this Business Hub:
Start writing your business name, click the plus button, then you can add your business to ChatGPT.
This one is my favorite: Businesses can interact with users via business agents.
The business agent can answer questions, help people explore offerings.
If a business agent is available, customers start a conversation with the business to explore its offerings, ask follow-up questions.
This business agent chat will be in a separate clearly labeled ChatGPT conversation.
You also get insights: number of mentions, website clicks, discovery topics-common themes across conversations where the website is cited. This all is already on its way to @tryEraAI to give you a 360 overview of your AI traffic.
Embarrassingly simple SEO hack
- Go to Google Search Console
- Performance > Search results
- Add filter > Query > Custom (regex)
- Paste this: ^(?:\S+\s+){7,}\S+$
- It shows every search with 8+ words
These are the long, specific questions people google before they find you. It's the same kind of question they ask ChatGPT.
Pick the ones with high impressions and low clicks, and answer them at the top of the page that ranks.
Crypto on-ramps in AI search:
→ Four specialists hold 65.1% of share of voice
→ @binance: 52% on Claude, 6% on ChatGPT
→ Help centers are the most-cited domains
The shortlist isn’t written where you think 👇
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 👇
“The easiest way to buy crypto” meets AI search, where ChatGPT picks one favourite, Claude picks another, and help centers write the shortlist 👀 Worth a read.
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 👇 https://t.co/izDTPPJmgF
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 👇 https://t.co/3Q5B9I1Pnm
“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 https://t.co/dmfu8pNPqC’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
@nativecodeapps Hey @nativecodeapps
Nice to meet you and thanks for interacting with our LI post about AI visibility.
Let's on on a quick call next week? We'd prepare a similar audit tailored for Native Code, and discuss how we can help yo win inbound traffic from LLMs.👀
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
https://t.co/odZDbInoZr 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 https://t.co/N5WaVNDSFQ
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 https://t.co/7VNx9Z3RiU
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.
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
Your competitor sells recruiting software. It also publishes the comparison AI cites.
Our latest report shows why recruiting brands need to track who explains their product—not just how often it gets mentioned.
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.
We expected to find one clear leader. Instead, @viewhospital leads visibility, @JK_PSC leads share of voice, and @bookimed leads citations.
Switch the AI platform, and the ranking changes again 💁♂️
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.