Content
· 9 checks — Internal links, mixed-content guards, Open Graph previews, and structured data rolled into one auditable list.FImage OptimizationAction5 issues found across 17 imagesFIX
BLinks66 links checked, 63 healthy, 3 brokenREVIEW
Broken Links (3)
| Status | URL | Found in | Error |
|---|---|---|---|
| 404 | https://fonts.googleapis.com | <link> | Not Found |
| 404 | https://fonts.gstatic.com | <link> | Not Found |
| 404 | https://www.googletagmanager.com | <link> | Not Found |
Redirects (1)
| URL | Destination | Found in | Hops |
|---|---|---|---|
| https://www.perplexity.ai/search?q=How%2... | https://www.perplexity.ai/search?q=How%2... | <a> | 0 |
CBrand PresenceActionSite-name consistency, favicon, social image, meta tags, schema, and contact signalsREVIEW
Brand Presence
Your brand name differs across channels — visitors see inconsistent identity.
C
66/100
Site name appears as
| Page title | Real-Time Technographic Data & API | |
| og:site_name | — | |
| twitter:site | — | |
| Organization.name | Bloomberry |
Inconsistent — names differ across channels
Brand assets
Favicon
8/15single size only
Social share image
14/20og:image set; twitter:image missing
Meta completeness
14/20Organization schema
15/15has name, logo + url
Contact info discoverable
10/10contact page + mailto link
Findings
- Brand name differs across channels — users see inconsistent identity
- Add twitter:image — Twitter falls back to og:image only when it's larger than 300×157
- Single favicon only — add apple-touch-icon for iOS home-screen and high-DPI support
- twitter:card missing
- Consider adding contactPoint — helps appear in "contact us" rich results
How consistently your brand appears across channels — shared link previews, structured data, favicon, contact info.
A+Mixed ContentNo mixed content detected — all resources use HTTPS.PASS
AOpen GraphOpen Graph tags are well configured for social sharing.PASS
The og:site_name tag displays the website name in social previews.
Without og:site_name, social cards omit the brand attribution — users see the post but not who published it.
Learn more ▾ ▴
og:site_name appears in the social card chrome (above the title in Facebook/LinkedIn previews). Without it, posts read as anonymous URLs. Set it to your brand name to get free attribution on every share.
Source: Open Graph Protocol
Without twitter:card, Twitter falls back to Open Graph tags. Adding it gives you more control.
Without twitter:card, Twitter renders posts as plain text — no preview image, no structured layout.
Learn more ▾ ▴
Twitter requires `<meta name="twitter:card" content="summary_large_image">` (or summary) to render share-cards at all. Without it, links appear as raw text and engagement plummets vs cards. Twitter also falls back to og:image if twitter:image isn't set, so configure both.
Source: Twitter Developer Platform
Preview
bloomberry.com
Bloomberry - Real-Time Technographic Data & API
Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- twitter:card — Add <meta name="twitter:card" content="summary_large_image">
- twitter:title — falling back from og:title
- twitter:description — falling back from og:description
- twitter:image — falling back from og:image
twitter:card is missing
→ Add <meta name="twitter:card" content="summary_large_image">
BLOOMBERRY.COM
Bloomberry - Real-Time Technographic Data & API
Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- og:title — Bloomberry - Real-Time Technographic Data & API
- og:description — Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- og:image — https://bloomberry.com/blog/wp-content/uploads/2025/10/bloomberry_logo.svg
- og:type — website
- og:url — https://bloomberry.com/
- og:site_name — Add og:site_name — Recommended — site-level brand line in the preview
Bloomberry - Real-Time Technographic Data & API
bloomberry.com
- og:title — Bloomberry - Real-Time Technographic Data & API
- og:description — Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- og:image — https://bloomberry.com/blog/wp-content/uploads/2025/10/bloomberry_logo.svg
bloomberry.com
Bloomberry - Real-Time Technographic Data & API
Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- og:title — Bloomberry - Real-Time Technographic Data & API
- og:description — Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products.
- og:image — https://bloomberry.com/blog/wp-content/uploads/2025/10/bloomberry_logo.svg
Social preview quality
Averaged across Twitter/X, Facebook, LinkedIn, and Slack.
| Field | Twitter/X | Slack | ||
|---|---|---|---|---|
| og:title | ||||
| og:description | ||||
| og:image | ||||
| og:type | ||||
| og:url | ||||
| og:site_name | ||||
| twitter:card | — | — | — | |
| twitter:title | ⚠ | — | — | — |
| twitter:description | ⚠ | — | — | — |
| twitter:image | ⚠ | — | — | — |
A+Open Graph / Twitter Card DepthOG image dimensions and Twitter card configuration look healthyPASS
A+Structured Data3 JSON-LD block(s) found — structured data is well configured.PASS
Adding "description" can improve how search engines display your content.
Recommended schema properties unlock richer SERP layouts — without them you get the basic rich result instead of the enhanced one.
Learn more ▾ ▴
Recommended properties expand what Google can render. E.g., adding aggregateRating to Product unlocks star ratings; adding image to Article unlocks the image-card variant. Each recommended property is a direct SERP-real-estate gain.
Source: Google Search Central / schema.org
Adding "potentialAction" can improve how search engines display your content.
Recommended schema properties unlock richer SERP layouts — without them you get the basic rich result instead of the enhanced one.
Learn more ▾ ▴
Recommended properties expand what Google can render. E.g., adding aggregateRating to Product unlocks star ratings; adding image to Article unlocks the image-card variant. Each recommended property is a direct SERP-real-estate gain.
Source: Google Search Central / schema.org
JSON-LD Blocks
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Bloomberry",
"url": "https://bloomberry.com",
"logo": "https://bloomberry.com/blog/wp-content/uploads/2025/10/bloomberry_logo.svg",
"description": "Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products. It reads infrastructure signals - what a company sets up when it buys software - rather than website tags or job postings.",
"address": {
"@type": "PostalAddress",
"addressLocality": "New York",
"addressRegion": "NY",
"addressCountry": "US"
},
"sameAs": [
"https://x.com/bloomberry"
]
}{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Bloomberry",
"url": "https://bloomberry.com"
}{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Where does your data come from, and how is it different from BuiltWith, Wappalyzer or TheirStack?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Bloomberry tells you which companies just started or stopped paying for any of 1,700+ B2B products. It reads infrastructure signals - what a company sets up when it buys software - rather than website tags or job postings. Concretely, that means new subdomains, DNS records, certificate transparency logs, and signals specific to how each individual product gets deployed. We crawl websites too, but we go further than checking whether a tag exists - we read the configuration inside script files and check whether they still return a working response. We've built a separate detector for each of the 1,700+ products we cover, so we know what that particular product looks like when it's set up, and we can confirm when it's gone. That's why we can tell you when a company subscribed or churned, not just what's on their website today. Some of those signals only appear when a product is genuinely deployed. Rolling out an AI assistant or an ERP across an organization usually means verifying a domain for single sign-on or updating email records - public changes that a single seat or a free trial never produces. So when we report an adoption, it generally reflects a real organizational rollout. Website scanning tells you presence, not timing, and skews toward front-end technologies. Job postings tell you what a company wrote in a job ad, which is why TheirStack scores how likely it is that the company actually uses what it mentioned. We don't use job postings, vendor case studies or product reviews - they're indirect and they lag. Because we're not limited to website tags, we also cover backoffice products with no website footprint at all: AI products (ie ChatGPT, Claude, Cursor), CRMs (ie Salesforce and Hubspot), project management tools (Jira, Monday) and much more."
}
},
{
"@type": "Question",
"name": "Why do you cover fewer products than BuiltWith or TheirStack?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Because we build a separate detection method for each product we cover. Depending on the vendor, that can mean watching for a new subdomain to resolve, reading DNS records, or checking a signal specific to how that one product works. Catalogs with tens of thousands of entries get there by running a single generic check across every JavaScript library, tag and framework on the internet - most of which nobody sells against. We cover the 1,700+ B2B products GTM teams actually build territory and displacement plays around, and for each one we tell you when a company started or stopped paying. We also don't call it churn just because a tag disappeared: we verify the endpoint is genuinely dead first, so a site redesign doesn't show up as a lost customer."
}
},
{
"@type": "Question",
"name": "Can you tell me which companies just adopted AI tools?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. We track adoption and churn for AI products the same way we track everything else, with dates attached - including ChatGPT, Claude, Cursor and others across our enterprise AI category. So you can ask questions like \"which companies rolled out an AI coding tool in the last 90 days\" rather than just \"who has an AI vendor somewhere in their stack\"."
}
},
{
"@type": "Question",
"name": "Do you cover newer tools, or just established ones?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Both, and we add new products continuously. We already track adoption for tools that launched recently - RB2B, Unify, Warmly and similar - alongside established categories like CRM and ERP. Legacy technographic databases are built around one fixed detection method, so newer GTM and AI tools tend to arrive late or not at all. If there's a product you need covered that we don't have yet, tell us and we'll usually add it."
}
},
{
"@type": "Question",
"name": "How many product categories does your data cover?",
"acceptedAnswer": {
"@type": "Answer",
"text": "We cover 1,700+ products across 190 categories. We cover a broad range of categories from enterprise AI, CRMs, cybersecurity, learning management, sales intelligence, ERPs, and more. You can explore all our categories here."
}
},
{
"@type": "Question",
"name": "How many of these subscribe/churn events do you uncover per month?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Our data consists of over 400,000 events every month."
}
},
{
"@type": "Question",
"name": "What are the limitations of your data?",
"acceptedAnswer": {
"@type": "Answer",
"text": "While we cover a wide range of categories, there are a few niches where we're not as strong such as edtech. In addition, we do not provide data on the person who was in charge of the purchase/churn event. We only provide data on the companies, not contact information of individuals."
}
},
{
"@type": "Question",
"name": "Do you have an UI/app or just an API?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Our data is available through both an UI and an API. You can sign up to browse our data or request an API key here. If you're a platform looking to integrate our signals into your own product, see our API documentation."
}
},
{
"@type": "Question",
"name": "Can I get a free trial?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes, please fill out this form and we'll email you login details."
}
},
{
"@type": "Question",
"name": "Are you a new company? How come I've never heard of you?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Our company Revealera has sold hiring and technology adoption data to some of the biggest hedge funds for the past 5 years, including 3 of the 20 largest funds in the world. We recently launched Bloomberry to bring that data to a different audience: sales, GTM and ABM teams and platforms."
}
}
]
}