Detailed Report:

Discoverability

❌ Image or video discovery support not found

What we saw

We didn’t see anything in place that specifically helps photos or videos get surfaced as their own discoverable assets. This can leave visual content harder to pick up in specialized search experiences.

Why this matters for AI SEO

Generative engines often pull in supporting visuals when they’re confident they understand what the media represents and where it belongs. When that connection is weak, your media is less likely to be discovered and reused in AI-driven answers.

Next step

Add a clear, dedicated way for your images and/or videos to be surfaced and discovered alongside your core pages.

Structured Data

❌ Resource / blog page data wasn’t available

What we saw

The resource/blog page content wasn’t available to review, so we couldn’t confirm the structured details that should typically exist on a content page. That leaves a blind spot in how clearly individual articles can be understood.

Why this matters for AI SEO

When content pages aren’t clearly described, AI systems have a harder time confidently summarizing, attributing, and ranking that content in generative results. It can also weaken how consistently your expertise gets associated with the right topics.

Next step

Make sure your key resource/blog pages are accessible and include clear structured details that describe the content.

❌ Author details on the resource / blog page couldn’t be verified

What we saw

Because the resource/blog page content wasn’t available, we couldn’t verify that the author is clearly identified on that page. As a result, the author signal for content credibility is effectively missing in this snapshot.

Why this matters for AI SEO

AI engines tend to trust content more when they can clearly connect it to a real person or organization. If that connection isn’t visible, it can reduce confidence in using the content as a source.

Next step

Ensure each resource/blog post clearly identifies the author in a way that’s easy for systems to interpret.

❌ Author identity connections weren’t present on the resource / blog page

What we saw

We couldn’t find any author identity connections tied to the resource/blog content because the page data wasn’t available. That means there’s no clear way to reconcile the author with other trusted profiles.

Why this matters for AI SEO

Generative engines are more confident when they can cross-check an author’s identity across the web. Without those connections, it’s harder for AI to “trust the source” consistently.

Next step

Add clear author identity connections that help confirm the author beyond just the on-page name.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We didn’t find a Wikidata entity tied to the brand in the available data. That leaves one of the clearer “who is this?” reference points unresolved.

Why this matters for AI SEO

AI systems often lean on well-known entity references to disambiguate brands and confirm identity. When that reference isn’t present, it can be harder for AI to confidently connect your site to the right brand entity.

Next step

Establish a clear brand entity reference that AI systems can reliably tie back to your organization.

Performance

❌ Mobile responsiveness was sluggish

What we saw

The page showed noticeable delays before it became reliably interactive on mobile. That kind of “stuck” feeling can make the experience feel heavier than it needs to be.

Why this matters for AI SEO

If a page is slow to respond, both users and systems are less likely to engage deeply with it. Over time, that can limit how consistently the content gets discovered, understood, and reused.

Next step

Improve how quickly the homepage becomes responsive on mobile so the experience feels smooth and immediate.

❌ Main content took too long to appear

What we saw

The primary visual content took close to nine seconds to load on mobile, which is long enough to lose attention. Even if the page eventually loads correctly, it creates a lot of friction.

Why this matters for AI SEO

When key content appears late, it can reduce how effectively systems and users can access and interpret what the page is about. That can weaken overall visibility and the likelihood of being pulled into AI answers.

Next step

Reduce the time it takes for the main content to show up on mobile.

❌ Overall performance landed in a weak range

What we saw

Overall performance quality came back as weak, largely due to speed and responsiveness issues. The experience is stable visually, but it’s still slower than ideal.

Why this matters for AI SEO

AI-driven discovery still depends on pages being easy to access and process reliably. When performance is consistently weak, it can make content less competitive for visibility.

Next step

Bring overall performance into a stronger, more reliable range for mobile visitors.

Reputation

❌ Identity details weren’t fully consistent

What we saw

We couldn’t confirm a verified physical address in the available identity data. That makes it harder to fully match the brand’s real-world footprint to the site.

Why this matters for AI SEO

Generative engines look for consistent “anchor” details to confirm a brand is legitimate and clearly identifiable. When those anchors are incomplete, it can reduce confidence and visibility.

Next step

Make sure your core identity details are consistent and easily verifiable across the web.

❌ No Wikidata presence showed up

What we saw

We didn’t see a matching Wikidata entity for the brand in the reconciled data. That leaves a common authority reference point missing.

Why this matters for AI SEO

Wikidata can act like a central “entity ID” that helps AI systems verify who you are. Without it, it’s easier for systems to hesitate or confuse similar names.

Next step

Build a stronger, more universally recognizable brand entity footprint that AI systems can validate.

❌ Third-party reviews and customer feedback weren’t showing up clearly

What we saw

We weren’t able to find a clear consensus around third-party review sources or customer feedback. That leaves the brand with fewer independent signals of credibility.

Why this matters for AI SEO

AI systems tend to trust brands more when there’s consistent, independent validation from real customers. When that’s missing or unclear, it can limit how strongly the brand is represented.

Next step

Strengthen the brand’s visibility in recognized third-party feedback sources so trust signals are easier to confirm.

❌ Official social profiles weren’t consistently confirmed

What we saw

Even though social links exist on the homepage, the available model outputs didn’t converge on a single set of “official” profiles. That creates uncertainty about which profiles are the authoritative ones.

Why this matters for AI SEO

When AI systems can’t confidently confirm the official profiles, it weakens identity verification and can dilute brand signals across platforms. Clear consensus helps engines connect the dots faster.

Next step

Make your official social presence unambiguous and consistent wherever the brand is referenced.

❌ Limited press and media coverage signals

What we saw

We didn’t see meaningful independent or owned press mentions in the reconciled data. That reduces the number of external references that can validate the brand.

Why this matters for AI SEO

Generative engines often rely on credible third-party mentions to judge authority and notability. When those signals are light, it’s harder to stand out as a trusted source.

Next step

Increase the brand’s footprint in credible media or press sources that AI systems can reference.

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 outbound links to non-social sources

What we saw

We didn’t find outbound links that point to non-social, third-party resources. The only detected external links were social platforms.

Why this matters for AI SEO

Outbound references can help AI systems understand the informational context and credibility of a piece. Without them, the content may read as more self-contained and harder to validate.

Next step

Include at least one relevant, non-social external reference that supports or contextualizes the article.

❌ Sections were too thin to carry the topic

What we saw

The article is broken into multiple sections, but most sections are very short and don’t develop a full idea. That can make the piece feel more like a set of snippets than a complete explanation.

Why this matters for AI SEO

LLMs tend to do better when each section provides enough context to stand on its own. Thin sections can reduce how confidently an AI system can summarize the content or pull accurate takeaways.

Next step

Expand the main sections so each one fully explains a single subtopic in a clear, self-contained way.

❌ No table-based structured info

What we saw

We didn’t see any table-based content that summarizes key information in a structured format. Everything is presented as plain text.

Why this matters for AI SEO

Tables can make key facts and comparisons easier for AI systems to extract and reuse accurately. Without structured summaries, important details can be harder to capture cleanly.

Next step

Add a simple table where it naturally helps summarize or compare key points from the article.

❌ Subheadings weren’t descriptive enough

What we saw

Many subheadings were too brief or generic to signal what the next section actually covers. That makes the structure feel less scannable for both people and machines.

Why this matters for AI SEO

Descriptive subheadings help AI systems map the content’s outline and understand how each section contributes to the full topic. When headings are vague, it’s easier for key ideas to be missed or mis-grouped.

Next step

Rewrite subheadings so they clearly describe the specific point each section is making.

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.