Overview:
On 03/16/26 tandemkross.com scored 61% — **Decent** – Overall, the site shows a solid foundation for AI visibility, but a few clarity and consistency gaps are holding it back from coming through as cleanly as it could.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site's technical foundation for discovery is solid and crawl-friendly, though adding specialized sitemaps for images and video would further improve visibility.
- Structured Data: 50% - Overall, this section looks mostly solid with error-free code, but we didn't see organization-level schema or clear author identification on the product page.
- AI Readiness: 50% - The site has a solid technical foundation with an open robots.txt and clear brand context, but it's missing some authority and freshness signals like Wikidata and sitemap date stamps.
- Performance: 56% - Mobile performance is a bit of a mixed bag; while visual stability is great, the time it takes to load main content on both key pages currently lands in the poor range.
- Reputation: 81% - Overall, this section looks mostly solid with strong social and press signals, though the lack of a Wikidata entry and some conflicting address data are notable gaps.
- LLM-Ready Content: 40% - The page is current and well-linked to external resources, but it lacks an individual author and standard heading structures for its main content sections.
The big picture on what’s missing
What stands out most is that the site is generally easy to find, but it doesn’t consistently explain “who is behind this” and “how this content is organized” in ways AI systems can reliably reuse. The main gaps show up as clarity signals (authorship and structured context), brand/entity verification signals, and a slower experience on key pages. Below, we’ll walk through the specific areas where those issues surfaced so you can see exactly what’s getting in the way. None of this is unusual—these are common, fixable visibility blockers once they’re clearly identified.
Detailed Report
Discoverability
❌ Missing image or video sitemap
What we saw
We didn’t detect an image sitemap or a video sitemap in the typical places. This makes it harder for your visual assets to be discovered and understood at scale.
Why this matters for AI SEO
Generative engines lean heavily on well-organized crawl paths to find and interpret supporting media. When imagery and video are less discoverable, product understanding can be thinner than it needs to be.
Next step
Add an image and/or video sitemap that helps engines discover your key media assets more reliably.
Structured Data
❌ Missing organization schema on the homepage
What we saw
We didn’t find an organization-focused schema type on the homepage. The structured data present didn’t clearly define who the business/entity is.
Why this matters for AI SEO
When the site’s identity isn’t explicitly defined, AI systems have to guess who’s behind the content and products. That can reduce confidence and consistency in how your brand is represented.
Next step
Add organization-level structured data that clearly identifies the brand/entity behind the website.
❌ No clear, non-generic author on the resource/product content
What we saw
The page doesn’t identify a specific author for the main content, either in the visible page content or in the structured data. The brand is present, but authorship isn’t clearly attributed.
Why this matters for AI SEO
Clear authorship helps AI systems evaluate trust and context, especially for detailed or technical content. Without it, your content can be harder to cite or summarize with confidence.
Next step
Add a clear author attribution for the main content and ensure it’s reflected consistently in the structured data.
❌ Missing sameAs links for author identity
What we saw
We didn’t find author schema on the resource page, and there were no sameAs links connecting an author to external identity profiles. As a result, there’s no structured “identity trail” for who wrote the content.
Why this matters for AI SEO
SameAs links help generative engines connect the dots between your onsite content and recognized offsite identities. When that’s missing, attribution and authority signals are weaker.
Next step
Create author structured data that includes sameAs links to relevant, official profiles.
AI Readiness
❌ Sitemap missing freshness signals
What we saw
The XML sitemap exists, but it doesn’t include last updated information (lastmod). That removes an easy way to communicate which pages are newer versus older.
Why this matters for AI SEO
AI systems and crawlers rely on clear freshness cues to prioritize what to revisit and what to treat as current. When those cues aren’t present, updates can be slower to reflect in what engines understand.
Next step
Include last updated timestamps in the sitemap so page freshness is clearer.
❌ No Wikidata entity found for the brand
What we saw
We didn’t detect a Wikidata entity for the brand. That means there isn’t a central entity reference that engines can easily use to validate identity.
Why this matters for AI SEO
Entity-based understanding is a big part of how generative engines connect brand names to trustworthy, consistent context. Without an entity match, your brand can be harder to disambiguate and verify.
Next step
Create and/or confirm a Wikidata entity that represents the brand accurately.
Performance
❌ Homepage main content loads slowly
What we saw
The homepage’s primary content took longer than expected to render for users. This suggests the most important visual/content area isn’t appearing quickly.
Why this matters for AI SEO
When core content is slow to appear, engagement tends to drop and crawlers may get a less complete view of what matters most. That can reduce how confidently the page is understood and surfaced.
Next step
Improve load behavior so the homepage’s main content becomes visible sooner.
❌ Resource page responsiveness issues
What we saw
The resource page showed heavy blocking during interaction, which can make it feel sluggish while loading. This points to delays before the page is fully usable.
Why this matters for AI SEO
If a page is slow to become interactive, users bounce more often and engines may treat the experience as lower quality. That can indirectly limit how well the content performs in discovery and summaries.
Next step
Reduce interaction delays on the resource page so it becomes usable faster.
❌ Resource page main content loads slowly
What we saw
The resource page’s primary content took longer than expected to render. The main “above the fold” content doesn’t appear as quickly as it should.
Why this matters for AI SEO
Slow loading can reduce content consumption and weaken the overall quality signals around the page. For AI systems, that can translate to less reliable extraction and lower confidence.
Next step
Speed up how quickly the resource page’s main content becomes visible.
❌ Resource page overall performance signal is weak
What we saw
The resource page’s overall performance result came back below the expected baseline. Combined with the other responsiveness and load findings, it points to a consistently heavy experience.
Why this matters for AI SEO
Pages that feel heavy can be crawled less efficiently and engaged with less often, which can reduce visibility over time. It also makes it harder for users to reach the parts AI systems would ideally quote and reuse.
Next step
Bring the resource page’s overall performance into a healthier range.
Reputation
❌ Conflicting business address information
What we saw
We saw conflicting addresses associated with the brand across different knowledge sources (Harrisonburg, VA; Portland, OR; Urbandale, IA). This makes the brand’s identity details look inconsistent.
Why this matters for AI SEO
Generative engines look for consistent “who/where” information to verify a real-world entity. Conflicts like this can create uncertainty and reduce trust in the brand profile.
Next step
Standardize the brand’s official address information across the web so it matches everywhere it appears.
❌ Missing Wikidata entity match
What we saw
No matching Wikidata entry was found for the brand. That leaves a gap in how easily engines can confirm the brand’s canonical identity.
Why this matters for AI SEO
A Wikidata entity often acts like a “source of truth” that helps AI systems merge references and avoid confusion. Without it, your brand can be harder to validate consistently.
Next step
Create or connect a Wikidata entity that clearly matches the brand name and website.
❌ No verified official identity anchors in Wikidata
What we saw
Because there isn’t a Wikidata entry in place, we couldn’t verify official identity anchors there (like an official website reference or other identifiers). This leaves entity verification incomplete.
Why this matters for AI SEO
Official anchors help AI systems feel confident they’ve connected the right brand to the right site and profiles. When those anchors are missing, brand-level trust can be harder to establish.
Next step
Ensure the brand’s entity record includes clear official identifiers that tie back to the real business.
LLM-Ready Content (Blog Analysis)
Heads up: this section looks at one article as a snapshot, so it’s a little more interpretive than the rest of the report and may shift slightly from run to run. Have questions? Just shoot us an email at hello@v9digital.com
❌ No clear individual author on the page
What we saw
We didn’t find a non-generic, individual author attributed to the main resource content. The brand is present, but the content doesn’t clearly map to a specific creator.
Why this matters for AI SEO
AI systems are more likely to trust and reuse content when authorship is clear and attributable. Without it, the page can come across as less “sourceable,” even if the content is strong.
Next step
Add a clearly named author for the resource content and keep that attribution consistent.
❌ Content isn’t broken into scannable sections
What we saw
The resource content didn’t include a clear section hierarchy using standard subheadings, so it reads as one long block. That makes it harder to quickly spot distinct topics or takeaways.
Why this matters for AI SEO
Generative engines extract and summarize content more reliably when it’s clearly segmented into labeled sections. When structure is missing, the page becomes harder to parse and reuse cleanly.
Next step
Organize the main content into distinct sections with clear subheadings.
❌ No table for quick specs or comparisons (bonus)
What we saw
We didn’t detect an HTML table on the page. That means there isn’t a structured, easy-to-lift format for key details.
Why this matters for AI SEO
Tables make it easier for AI systems to extract specs, differences, and quick-reference facts without misreading prose. Without one, important details can be harder to reuse accurately.
Next step
Add a simple HTML table where it naturally helps summarize key details.
❌ Subheadings aren’t descriptive enough for parsing
What we saw
This check failed because the content didn’t include the expected section headings that would allow subheadings to be evaluated. In practice, the page doesn’t provide clear “signposts” for what each part covers.
Why this matters for AI SEO
Descriptive subheadings help AI systems understand topic boundaries and pull the right snippet for the right question. When those cues are missing, summaries can be less precise.
Next step
Use clear, descriptive subheadings that label the main topics the page covers.
❌ Key answers don’t surface early
What we saw
This check failed because the page structure didn’t provide section markers that make it easy to confirm whether the main answers appear early. As a result, the most important takeaways aren’t clearly front-and-center for quick extraction.
Why this matters for AI SEO
Generative engines often prioritize content that answers the core question quickly and clearly. If the “what it is / who it’s for / why it matters” isn’t easy to locate, the page is less likely to be used as a primary source.
Next step
Make sure the primary takeaways are easy to find near the top of the content.
Does Anything Seem Off?
Thanks for taking our free GEO Grader for a spin. When we started this journey, the tool had a fairly long processing time to check everything we wanted both onsite and offsite, so we made a few adjustments on the backend to speed things up. As a result, there are times when the grader may not get everything 100% right. If something feels off, we recommend running the tool a second time to confirm the results. From there, you’re always welcome to reach out to us to schedule a GEO consultation, or to have your SEO provider validate the findings with a more detailed crawl and manual review.
