Detailed Report:

Discoverability

❌ No image or video sitemap found

What we saw

We didn’t see an image sitemap or a video sitemap in the available site data. That means your visual content may not be as clearly surfaced for systems that rely on these feeds.

Why this matters for AI SEO

AI search experiences increasingly pull in visual content when it’s easy to discover and understand. When visual assets are harder to index, they’re less likely to show up as supporting proof points in AI-driven answers.

Next step

Add an image sitemap and/or video sitemap so your visual assets are easier for crawlers and AI systems to discover.

Structured Data

❌ No schema markup detected on the homepage

What we saw

We didn’t find any schema markup on the homepage. As a result, the page isn’t providing structured “labels” about what the business is.

Why this matters for AI SEO

Generative engines lean on structured data to confirm entities and interpret key details consistently. When it’s missing, your brand can be easier to misunderstand or harder to confidently reference.

Next step

Add homepage schema that clearly describes the business entity.

❌ No organization-type schema found

What we saw

Because no schema was present on the homepage, we also didn’t see any organization-type schema (like an Organization or LocalBusiness entity). This leaves business identity details underspecified.

Why this matters for AI SEO

Organization-level context helps AI systems connect your site to the right brand, category, and real-world entity. Without it, identity matching can be less reliable.

Next step

Include an organization-type entity in your homepage structured data so AI systems can anchor who you are.

❌ Resource/blog structured data couldn’t be verified

What we saw

A resource or blog page wasn’t provided in the evaluation data, so we couldn’t confirm whether article-level schema exists there. This leaves a big unknown around how well content is described and attributed.

Why this matters for AI SEO

When AI systems reuse or cite content, they look for clear content identity signals like authorship and article context. If that information can’t be validated, it’s harder to establish trust and proper attribution.

Next step

Make sure your resource/blog pages include structured data that clearly defines the article and its author.

❌ Major schema health can’t be confirmed because schema is missing

What we saw

No schema was detected, so there wasn’t anything to validate for errors or completeness. In practice, this shows up as a lack of structured context rather than “bad” structured context.

Why this matters for AI SEO

AI engines benefit from consistent, structured descriptions of a site and its content. When there’s no structured layer to interpret, they have less reliable context to work with.

Next step

Add baseline schema so the site has a structured foundation that can be validated and trusted.

❌ A clear, non-generic author couldn’t be verified for the resource/blog post

What we saw

Because the resource page data wasn’t available, we couldn’t identify an author entity for the article content. That makes authorship unclear from an evaluation standpoint.

Why this matters for AI SEO

Authorship is one of the easiest ways for AI systems to judge expertise and credibility around a specific piece of content. When it’s missing or unverified, content can be treated as less authoritative.

Next step

Ensure each article clearly lists a real author and that the author can be identified consistently.

❌ Author “sameAs” profile links couldn’t be verified

What we saw

No author schema or resource-page author details were available to evaluate, so we couldn’t confirm whether author profiles are linked to external identity pages. That leaves author identity less connected.

Why this matters for AI SEO

When an author is tied to consistent profiles across the web, AI systems have an easier time understanding who they are and trusting their expertise. Without those anchors, author identity is weaker.

Next step

Connect authors to consistent external profile links where appropriate.

AI Readiness

❌ Sitemap update information wasn’t found

What we saw

The sitemap was present, but it didn’t include “last modified” information for URLs. That removes a simple cue that helps systems understand what’s been updated.

Why this matters for AI SEO

AI-driven discovery depends on timely understanding of what’s current, especially for fast-changing topics. When update signals are missing, systems may be slower to reflect changes or prioritize newer pages.

Next step

Update the sitemap output so it includes last modified dates for listed URLs.

❌ No clear “About/Company” brand context link was found on the homepage

What we saw

We didn’t detect internal homepage links that clearly point to an About, Company, Team, or Press-type page. That makes it harder to quickly find “who you are” context from the main entry point.

Why this matters for AI SEO

Generative engines look for straightforward brand context to confirm identity, expertise, and legitimacy. When that context isn’t clearly discoverable, they have less to confidently summarize and cite.

Next step

Make sure the homepage clearly links to a dedicated brand context page (like About/Company/Team/Press).

❌ No Wikidata entity was found for the brand

What we saw

We didn’t find a Wikidata item ID associated with the brand. That suggests there isn’t a clear, recognized knowledge-base entity to connect the brand to.

Why this matters for AI SEO

When a brand is tied to a stable entity reference, AI systems can be more confident they’re talking about the right organization. Without that anchor, identity matching can be less consistent.

Next step

Establish a Wikidata entity for the brand so AI systems have a stronger identity reference.

Reputation

❌ Social and identity anchors weren’t clearly connected on-site

What we saw

We couldn’t find direct links to the brand’s social profiles within the provided homepage HTML. The findings also noted a missing Wikidata entry and a lack of a consistent physical address across sources.

Why this matters for AI SEO

AI systems tend to trust brands more when identity details line up cleanly across official channels. If those connections aren’t obvious, the brand can look less “anchored,” even when awareness and coverage are strong.

Next step

Add clear on-site links to official social profiles and ensure your business identity details (including address) are consistently presented.

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

❌ Author information was generic or missing

What we saw

We didn’t see a clear individual author name on the page, and the available author signal was generic/brand-level. That makes it hard to tell who is responsible for the content.

Why this matters for AI SEO

AI systems are more likely to trust and reuse content when authorship is clear and tied to a real person. Generic attribution can weaken perceived expertise.

Next step

Add a clear, non-generic author byline that identifies a specific person.

❌ No publish or update date was found

What we saw

We didn’t find a publication date or an update date in the visible content or metadata. That leaves the timeliness of the information unclear.

Why this matters for AI SEO

Generative engines weigh freshness signals when deciding what to summarize or cite. If recency isn’t clear, the content can be treated as less reliable for current questions.

Next step

Add a clear publish date (and an update date when applicable) to the article.

❌ Recency couldn’t be verified

What we saw

Because no explicit update date was detected, we couldn’t verify whether the content has been updated recently. From an AI perspective, it reads as “unknown freshness.”

Why this matters for AI SEO

When AI systems can’t confirm a piece is current, they may prioritize other sources that are easier to place in time. This can affect visibility for queries where up-to-date info matters.

Next step

Include an explicit “last updated” date when content is maintained over time.

❌ Content wasn’t broken into enough clear sections

What we saw

The page only had one main section heading, so the content wasn’t divided into multiple scannable chunks. That makes the page harder to parse quickly.

Why this matters for AI SEO

AI systems prefer content that’s clearly segmented into logical sections, because it’s easier to extract, summarize, and quote accurately. When the structure is thin, content reuse gets harder.

Next step

Break the article into multiple clearly labeled sections so the main ideas are easier to interpret.

❌ No table-based content was found

What we saw

We didn’t detect any table on the page. That means there isn’t an obvious structured “at a glance” block for comparisons, steps, or key specs.

Why this matters for AI SEO

Tables can make important details easier for AI systems to extract cleanly and reuse accurately. Without them, useful specifics may be harder to pull out without misinterpretation.

Next step

Add a simple table where it naturally helps summarize key takeaways or comparisons.

❌ Subheadings weren’t descriptive enough to evaluate

What we saw

There weren’t enough section headings on the page to assess whether subheadings are descriptive and helpful. Practically, this shows up as a lack of clear signposts for the reader (and for AI systems).

Why this matters for AI SEO

Descriptive subheadings help AI models map content to specific questions and intents. When that structure isn’t present, it can be harder to match the page to precise queries.

Next step

Add more section headings that clearly describe what each section covers.

❌ Early “key answers” signal couldn’t be verified

What we saw

Because the page structure didn’t include enough headings, we couldn’t confirm whether key answers are surfaced early in the content. This makes it less obvious what the reader should take away quickly.

Why this matters for AI SEO

AI-generated results often rely on fast identification of the main answer and supporting points. If those aren’t clearly positioned, the content is less likely to be pulled into concise summaries.

Next step

Make the primary takeaway easy to find near the top, supported by clear section structure.

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.