Detailed Report:

Discoverability

❌ Image or video sitemap not found

What we saw

We didn’t see a dedicated image sitemap or video sitemap available for the site. That means your visual assets don’t have an extra layer of guidance to help them get discovered.

Why this matters for AI SEO

Generative engines often rely on what’s easiest to find and interpret at scale, and visual assets can be a meaningful part of how your brand and products get understood. When visual content is harder to surface, it can limit how completely AI systems represent you.

Next step

Publish an image and/or video sitemap (where relevant) and make sure it’s discoverable alongside your existing sitemap setup.

Structured Data

❌ Resource/blog page markup couldn’t be verified

What we saw

We didn’t receive usable page data for a resource or blog page during the evaluation. As a result, we couldn’t confirm whether article/resource pages include the expected structured context.

Why this matters for AI SEO

When AI systems can’t reliably extract consistent page-level context from your resource content, they’re more likely to miss key details or downplay the authority of those pages. This can reduce how often your informational content gets referenced or summarized.

Next step

Confirm a representative resource/blog URL is accessible for evaluation and that it includes clear structured context for the page type.

❌ Author on resource/blog content wasn’t confirmed

What we saw

Because the resource/blog page content was missing or empty in the dataset, a specific, non-generic author could not be identified or validated. This effectively leaves authorship unclear from an AI perspective.

Why this matters for AI SEO

AI answers tend to lean on content that clearly signals who created it, especially for advice-driven or informational topics. When authorship isn’t clear, it can weaken how trustworthy and citable that content appears.

Next step

Make sure resource/blog pages clearly attribute content to a specific person (or clearly defined editorial entity) in a way that’s consistently visible.

❌ Author identity links weren’t confirmed

What we saw

We weren’t able to confirm any author identity links (e.g., external profile references) because the resource/blog page data was missing or empty. That leaves less connective tissue between the author and their public identity.

Why this matters for AI SEO

Generative engines look for consistent, repeatable identity signals across the web to reduce ambiguity. When those links aren’t present or can’t be validated, it’s harder for AI systems to confidently associate content with a real-world entity.

Next step

Ensure author information includes clear identity references that connect the author to their established profiles.

AI Readiness

❌ Sitemap doesn’t show when pages were last updated

What we saw

The sitemap was found, but it didn’t include “last updated” timestamps for the URLs we checked. That makes it harder to tell what’s recently changed versus what’s older.

Why this matters for AI SEO

AI systems are more likely to trust and reuse information when they can quickly understand how current it is. Without clear update timing, your content may look less timely than it actually is.

Next step

Add last-updated timestamps to sitemap URL entries so freshness is unambiguous.

❌ No Wikidata entity found for the brand

What we saw

We didn’t find a Wikidata item ID associated with the brand. That leaves a notable gap in standardized, third-party brand identity signals.

Why this matters for AI SEO

A consistent third-party identity reference can help generative engines reconcile brand details across sources and reduce confusion. When it’s missing, AI may be more hesitant or inconsistent in how it describes the business.

Next step

Create or validate a Wikidata entry for the brand so there’s a stable identity reference point.

Performance

❌ Homepage responsiveness is lagging

What we saw

The homepage showed signs of being slow to respond during load, meaning it may feel “busy” before it becomes fully interactive. This is most noticeable in early moments of the visit.

Why this matters for AI SEO

When the page experience is sluggish, it can reduce crawl efficiency and weaken engagement signals that often correlate with trust and usability. Over time, that can affect how confidently systems surface the page.

Next step

Identify what’s delaying interactivity on the homepage and reduce the amount of work happening before the page becomes responsive.

❌ Homepage main content appears too slowly

What we saw

The primary content on the homepage took longer than expected to fully appear. That creates a slower “first impression” for users and crawlers alike.

Why this matters for AI SEO

Generative engines tend to prioritize sources that are easy to access and process reliably. If key content shows up late, it can be harder for systems to consistently extract and trust the most important on-page signals.

Next step

Focus on getting the homepage’s main content to render earlier so the core message is available sooner.

Reputation

❌ Negative customer feedback was identified offsite

What we saw

We found affirmed negative customer feedback on a third-party site (PissedConsumer). That means there is at least one visible offsite source framing customer experience in a negative light.

Why this matters for AI SEO

Generative engines commonly synthesize reputation signals across the open web when deciding how to describe a brand. Prominent negative narratives can show up in summaries even when other signals are strong.

Next step

Review the surfaced negative feedback source and make sure your broader public-facing reputation story is consistent and up to date.

❌ Brand identity signals weren’t consistent across sources

What we saw

Brand name and address details were missing or inconsistent in the evaluated offsite data, including conflicting location information and at least one model returning a null official name. This creates a fragmented identity footprint.

Why this matters for AI SEO

When AI systems see mismatched identity details, they may hedge, mix entities, or provide less confident answers. Consistency is a big part of how generative engines decide what’s “official.”

Next step

Make sure your official name and address are represented consistently across your key public profiles and references.

❌ Wikidata match for the brand wasn’t found

What we saw

No matching Wikidata entity was detected for the brand. This limits the ability to verify the brand through a standardized knowledge source.

Why this matters for AI SEO

Wikidata often functions as a “tie-breaker” identity reference for generative engines when other sources are incomplete or conflicting. Without it, identity reconciliation is harder.

Next step

Establish a Wikidata entity that clearly corresponds to the brand and its official online presence.

❌ Official identity anchors couldn’t be verified

What we saw

Because there was no Wikidata entity available, there were no official identity anchors to validate there (like definitive references that confirm “this is the real one”).

Why this matters for AI SEO

Identity anchors help AI systems connect the dots between your website, profiles, and brand mentions with higher confidence. When they’re absent, brand attribution can be less stable.

Next step

Ensure there’s a single, authoritative identity reference that includes clear official anchors to your primary web properties.

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 author was attributed

What we saw

We didn’t find a specific author name or author profile tied to the page. From an AI perspective, the content reads as unattributed.

Why this matters for AI SEO

Authorship helps AI systems decide what to trust and what to quote, especially when content looks educational or advisory. When the author is unclear, the content can be treated as less authoritative.

Next step

Add a clearly named author attribution that’s easy to find on the page.

❌ No publish or update date was found

What we saw

We didn’t see a publish date or an “updated” date associated with the page content. That makes it hard to tell how current the information is.

Why this matters for AI SEO

Generative engines often factor freshness into what they surface and how they qualify answers. If the timing isn’t clear, AI may be less likely to treat the page as a current reference.

Next step

Display a clear publish date and/or last updated date for the page content.

❌ Recency couldn’t be confirmed

What we saw

Because no modification date was detected, we couldn’t confirm that the content has been updated recently. The page may be current, but it doesn’t clearly signal that.

Why this matters for AI SEO

If recency isn’t easy to verify, AI systems may default to more explicitly current sources when generating responses. That can reduce how often your content is selected.

Next step

Make sure the page includes an explicit “last updated” signal when the content is refreshed.

❌ Sections were too thin for easy reuse

What we saw

The content was broken into sections, but the sections were very short on average. That makes the page feel more like a set of quick blocks than a cohesive, information-rich resource.

Why this matters for AI SEO

AI systems do best when each section contains enough substance to stand on its own and be summarized accurately. Thin sections can make it harder for models to extract complete, reliable answers.

Next step

Expand key sections so each one delivers a complete thought that can be summarized cleanly.

❌ No table-based summary was present

What we saw

We didn’t find any HTML table on the page. That removes a straightforward way to present comparisons, specs, or quick-reference details.

Why this matters for AI SEO

Structured, scannable summaries can be easier for AI to interpret consistently, especially when users ask for side-by-side comparisons. Without them, key details may be harder to extract cleanly.

Next step

Include a simple table where a quick comparison or summary would help readers and AI systems.

❌ Subheadings weren’t descriptive enough

What we saw

A meaningful share of the subheadings were too generic to clearly preview what each section covers. That makes the page harder to skim and harder to map section-by-section.

Why this matters for AI SEO

AI systems often use headings to understand the structure and intent of a page. When headings are vague, it can reduce how accurately the content is summarized and retrieved.

Next step

Rewrite subheadings so each one clearly states the specific question or topic that section answers.

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.