Three separate websites, three separate businesses, three separate diagnoses. Each report below stands on its own: its own data, its own on-page and technical findings, its own competitors, and its own recovery roadmap.
Written B2B technology news and analysis — blogs, articles, reports, research. On-page, technical, semantic and AI-search audit.
Semrush data, pulled August 26, 2026, plus a live crawl of the site on August 27, 2026.
The crawl found 135 paginated archive pages, which puts the published article count at roughly 1,300+, going back to 2017, across 9 well-organized categories (AI, Cloud, Data, Digital Enterprise, Telco & Mobile, Cyber Security, Infrastructure, Automation, Supply Chain). Against that volume, 40 monthly organic visitors and 349 ranking keywords is very low, and keywords are declining, not growing. With this much content already published, the problem is not "not enough content." It's that most of the archive isn't built to rank.
Multiple articles are published per week, some the same day, and are written fast around ~800 words. Google's helpful-content systems are built specifically to detect this pattern, high frequency, low differentiation, and suppress it site-wide, algorithmically, without any manual notice. A falling keyword count on a growing archive is a textbook symptom of exactly this.
Headlines like "The Token Trap" or "41 Years Ahead of His Time" work for a homepage feature, but the actual keyword a reader would search rarely appears in the title, H1, or opening lines. That mismatch is a big part of why 1,300+ articles only produce 349 ranking keywords.
No visible Article, FAQ, or HowTo schema on the sampled pages, limiting both rich results and AI Overview eligibility. Category and tag archive pages (135 of them) are likely thin and duplicate-feeling to Google, since they just list the same excerpts repeatedly. No clear internal linking pattern was visible tying related articles together into topic clusters.
43 total pages have been cited somewhere, but tracked visibility across monitored prompts is 0%
Citations are landing on long-tail, incidental queries, not the commercial or high-intent terms worth ranking for. AI Overview and AI Mode pull almost exclusively from pages that already rank organically and carry clear schema, right now Elnion qualifies for neither consistently, which is why visibility sits at 0% even with 43 incidental citations.
Real, comparable B2B enterprise tech publishers covering the same beats (AI, Cloud, Cybersecurity, Telco, Infrastructure).
| Publisher | What they do differently |
|---|---|
| ITPro | Structured topic hub pages per subject (Cloud, Security, Infrastructure) that pull related articles into one page, exactly the internal linking layer Elnion's 1,300+ scattered posts are missing |
| SiliconANGLE | Consistent search-intent-first headlines alongside the attention headline, and deep topical clustering by beat |
| Silicon UK | Article, FAQ and structured schema visible across article templates, feeding both classic search and AI Overviews |
| EM360Tech | Gated long-form reports and whitepapers layered on top of news content, building topical authority beyond daily news |
Map real search demand across all 9 categories, separating "news of the day" (low search volume) from evergreen how-to and comparison queries (where the real traffic is).
Benchmark against ITPro and SiliconANGLE at the topic-hub level to find exactly which sub-topics they own that Elnion doesn't.
Shift from high-frequency 800-word posts toward fewer, deeper pieces (1,200+ words) built around one clear target keyword per article.
One strong hub page per core category that links out to the best existing and new articles, turning the scattered archive into real topical authority.
Across new and high-traffic existing articles, this is what unlocks rich results and AI Overview eligibility.
Fix thin/duplicate category and tag pages, tighten internal linking between related posts.
Podcasts, shows, episodes — audio content. On-page, technical, semantic and AI-search audit.
The crawl found a genuinely deep catalog: 20+ podcast series across 10 categories, with flagship shows like "Passw0rd" (168 episodes) and "Conversations with Dez" (82 episodes). Despite that, organic traffic is 0 and only 4 keywords rank. Every episode page we sampled is built around a JavaScript audio player with no visible transcript and no written show-notes body. Google cannot rank what it cannot read, and right now there is almost nothing on these pages for it to read.
Real counts pulled from podnion.com
Real B2B enterprise-tech podcasts with strong search presence, same audience (CIOs, CISOs, IT and business leaders).
| Podcast | What they do that Podnion doesn't |
|---|---|
| CIO Talk Network | Every episode ships with a "Full Transcript and Episode Details" page at its own URL, this single habit is the entire gap between their search presence and Podnion's |
| The ITPro Podcast | Each episode gets a dedicated article-style page with a topic breakdown, not just a player embed |
| CXO Talk | Full written summaries and highlight quotes published alongside each episode, turning every conversation into an indexable article |
Every podcast actually ranking in this space treats the episode page as an article with audio attached, not an audio player with a title on top. That's the entire structural difference.
Start with the flagship series (Passw0rd, Conversations with Dez) since they have the most episodes and the most potential search value.
Not a downloadable file, actual on-page text Google can crawl, structured with speaker names and timestamps.
A short standalone summary (150–250 words) targeting the specific topic and guest, not just the episode title.
Unlocks podcast rich results in Google Search and improves AI engine eligibility.
10 categories already exist, find the actual search terms people use for each (e.g. "CIO leadership podcast," "mainframe modernization interview") and align titles to them.
This doesn't require new content, new hosts, or a new publishing rhythm. It requires making 20+ series of already-recorded, already-good content readable to Google. A 4-authority-score site can realistically move into the 20s within a couple of months on transcripts and schema alone.
Web-TV, webinars, live streams — video content. On-page, technical, semantic and AI-search audit.
The crawl found 230+ videos across 8 categories (Telco & Mobile leads with 62, then Data with 43, Digital Enterprise with 33). Video pages show a title, uploader and view count, with no written description body on the pages sampled. 3.4K backlinks against only 18 ranking keywords is a strong sign most links point at the homepage or brand mentions, not individual video pages, which means the link equity isn't reaching the content that needs it.
Real counts from vidnion.com's own category listing
Real B2B video/webinar platforms in the same enterprise-tech space.
| Platform | What they do that Vidnion doesn't |
|---|---|
| BrightTALK (Informa TechTarget) | Every webinar/video gets a full written abstract, speaker bios and topic tags on its own page, not just a player |
| SiliconANGLE / theCUBE | Video pages carry a written article alongside the embed, summarizing the conversation for search and for readers who won't watch the full video |
Both real competitors treat every video as an article with a video attached. Vidnion currently treats every video as just a video. That's the entire structural difference, and it's the same root pattern as Podnion's, applied to a different format.
200–300 words per video, covering who's speaking, what's discussed, and the specific topic, not a one-line caption.
Same logic as Podnion, gives Google crawlable text tied to each video, and improves accessibility.
Unlocks video rich results and thumbnail carousels in Google Search.
Audit where the 3.4K backlinks actually point, and start directing new links (from partner sites, event pages, guest mentions) to individual video pages instead of the homepage.
Telco & Mobile (62 videos) and Data (43 videos) are the deepest categories, start there for the fastest visible movement.