Detailed Report:

Discoverability

❌ No image or video sitemap found

What we saw

We didn’t find an image sitemap or a video sitemap in the site data. That means your visual assets don’t have a dedicated discovery path.

Why this matters for AI SEO

Generative engines often lean on clear, structured discovery signals to find and understand non-text assets. When visuals are harder to surface, you can miss out on being referenced for richer, media-supported answers.

Next step

Create and publish an image sitemap and/or video sitemap so your visual assets have a clear path to being indexed.

Structured Data

❌ Missing structured data on the resource/blog page

What we saw

The resource/blog page data we expected to evaluate appeared to be missing or empty. As a result, we couldn’t confirm any structured markup on that content.

Why this matters for AI SEO

When resource content isn’t described in a consistent, machine-readable way, it’s harder for AI systems to confidently classify the page and reuse it as a reliable source. That can reduce how often your content is selected or cited.

Next step

Ensure the resource/blog page is available to evaluate and includes structured data appropriate to the content.

❌ Resource/blog posts don’t show a clear author

What we saw

We didn’t see a clear, non-generic author associated with the resource/blog content in the provided data. This made it hard to identify who is responsible for the information on the page.

Why this matters for AI SEO

AI systems are more likely to trust and reuse content when authorship is explicit and consistent. Missing author details can make expertise harder to verify.

Next step

Add a clear author attribution for resource/blog content so authorship is unambiguous.

❌ Author profiles lack sameAs links

What we saw

We weren’t able to find author information that includes “sameAs” links, because the resource/blog page data appeared missing or empty. That leaves author identity harder to corroborate.

Why this matters for AI SEO

When authors can’t be connected to consistent external profiles, AI systems have fewer confidence signals to confirm identity and expertise. This can limit how strongly your content is trusted as a source.

Next step

Include “sameAs” links for authors so their identity can be consistently verified across the web.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We couldn’t find a Wikidata entity associated with the brand in the provided data. In practice, that means the brand isn’t clearly defined as a single “known entity” in that knowledge base.

Why this matters for AI SEO

Generative engines often use knowledge graphs to validate and connect facts about organizations. Without a clear entity reference, it can be harder for AI to confidently “connect the dots” about who you are.

Next step

Create or claim a Wikidata entry for the brand so AI systems have a consistent entity to reference.

Performance

❌ Homepage layout stability issue detected

What we saw

We saw a minor layout stability issue on the homepage, where content shifts a bit more than expected as the page loads. This can feel like the page is “jumping” during viewing.

Why this matters for AI SEO

While AI systems don’t experience pages exactly like humans do, unstable layouts can correlate with weaker overall page experience signals and can interfere with consistent content extraction. A steadier page tends to be easier to interpret reliably.

Next step

Stabilize above-the-fold layout behavior so elements don’t shift unexpectedly during load.

Reputation

❌ Brand identity signals are missing a consistent physical address

What we saw

The available identity data didn’t include a consistent physical address. That prevented a complete identity “consensus” from forming across sources.

Why this matters for AI SEO

For organizations, AI systems look for stable identity anchors to confirm the official entity behind a site. When key identity details are incomplete, it can reduce confidence in attribution.

Next step

Add a consistent physical address wherever your brand identity details are presented publicly.

❌ No verified Wikidata identity anchor for the brand

What we saw

No matching Wikidata entity was found for the brand, and we also didn’t see supporting Wikidata identity anchors in the data. That leaves your offsite identity footprint less “deterministic.”

Why this matters for AI SEO

Knowledge-graph identity anchors help generative engines validate that different mentions refer to the same real-world organization. Without them, it’s easier for identity signals to stay fragmented.

Next step

Establish a Wikidata entry and connect it to consistent identity references so your entity is easier to verify.

❌ Independent third-party press mentions weren’t found

What we saw

The research data did not identify independent, third-party press coverage or notable mentions. What we saw instead was primarily owned/onsite coverage.

Why this matters for AI SEO

Independent coverage acts as an external credibility signal that AI systems can use to corroborate claims about a brand. When it’s missing, AI may have fewer authoritative sources to reference.

Next step

Build a track record of independent third-party mentions so there are more external credibility signals tied to the brand.

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 visible author or author bio on the resource

What we saw

We couldn’t find a visible author name or an explicit author bio attached to this resource. That leaves the “who wrote this” question unanswered on the page itself.

Why this matters for AI SEO

Generative engines tend to prefer content with clear accountability and expertise signals. When authorship is unclear, the page can be treated as less verifiable.

Next step

Add a clear author byline and a short author bio so authorship and credentials are easy to confirm.

❌ Sections are a bit too brief for deep context

What we saw

Although the page is organized into sections, the individual sections average under 100 words. That makes the content feel more like a set of quick snippets than fully explained blocks.

Why this matters for AI SEO

AI systems are better at extracting accurate meaning when each section contains enough context to stand on its own. Very short sections can make it easier to miss nuance or misinterpret the point.

Next step

Expand key sections so each one delivers a complete thought with enough supporting context.

❌ No table-based content detected

What we saw

We didn’t detect any HTML tables on the page. So there’s no structured, scan-friendly comparison or reference format included.

Why this matters for AI SEO

Tables can help AI systems extract and reuse structured facts (like comparisons, pricing/tiers, timelines, or requirements) with fewer ambiguities. When everything is paragraph-only, key details can be harder to lift cleanly.

Next step

Add at least one simple table where it naturally helps summarize key information.

❌ Subheadings are often generic

What we saw

Many subheadings were short or generic (for example, labels like “Media” or “Our Mission”). That makes it less clear what each section is specifically about.

Why this matters for AI SEO

Generative engines use headings to understand page structure and map sections to user intent. Generic headings reduce clarity, which can make the page less reusable in specific, question-based responses.

Next step

Rewrite headings so they clearly describe the question or topic each section answers.

❌ Niche acronyms aren’t explained nearby

What we saw

The content includes niche acronyms (like ASSYST and PRECI) that aren’t expanded or defined close to where they appear. That can leave readers (and AI) guessing.

Why this matters for AI SEO

AI systems do best when terminology is clearly defined in context. Unexplained acronyms can weaken comprehension and reduce confidence in summarization.

Next step

Add brief in-line definitions the first time each acronym appears.

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.