Detailed Report:

Discoverability

❌ No image or video sitemap found

What we saw

We didn’t detect an image sitemap or a video sitemap. That means your visual assets (like book covers or media files) don’t have a dedicated discovery path.

Why this matters for AI SEO

Generative engines and search systems rely on clear, crawlable signals to find and interpret media assets. When visual content is harder to surface, it can reduce how often your images and media get pulled into AI answers and rich results.

Next step

Publish an image and/or video sitemap that includes your key media assets so they’re easier to discover and index.

Structured Data

❌ Blog/resource page structured data couldn’t be verified

What we saw

We weren’t able to evaluate structured data on the blog/resource page because the file needed for review was missing or empty in the evaluation snapshot. As a result, we couldn’t confirm that blog/resource pages include the expected structured information.

Why this matters for AI SEO

When AI systems can’t reliably read structured signals on content pages, it’s harder for them to interpret what the page is about and how it relates to your brand. That can limit how confidently your posts get summarized, cited, or attributed in AI responses.

Next step

Make sure your blog/resource page is accessible for evaluation and includes structured data that clearly describes the page and its content.

❌ Blog/resource posts don’t show a clearly identified author (couldn’t be confirmed)

What we saw

Because the blog/resource content wasn’t available to review, we couldn’t confirm that individual posts use a clear, non-generic author identity. This leaves a gap in how authorship is represented at the post level.

Why this matters for AI SEO

Authorship clarity helps AI systems understand who created a piece of content and whether that creator is credible and consistent across the web. Without that, AI summaries may be less likely to attribute content correctly or treat it as a reliable source.

Next step

Ensure each blog/resource post clearly identifies the author in a way that can be consistently recognized.

❌ Author profile connections (sameAs links) weren’t present or couldn’t be confirmed

What we saw

We couldn’t verify whether author profiles on blog/resource posts include supporting profile links because the blog/resource file was missing or empty. This prevents confirming that the author identity ties out to known profiles elsewhere.

Why this matters for AI SEO

When author identity isn’t connected to recognizable offsite profiles, it’s harder for AI systems to build confidence that the author is a real, consistent entity. That can weaken trust and attribution in AI-driven discovery.

Next step

Add clearly associated author profile links where appropriate so the author identity is consistent across platforms.

AI Readiness

❌ Major AI crawlers are explicitly blocked

What we saw

The robots.txt file explicitly disallows GPTBot and CCBot. This prevents major AI crawlers from accessing and understanding your site content.

Why this matters for AI SEO

If key AI crawlers can’t read your pages, your content is less likely to be learned, summarized, or surfaced in generative search experiences. This can be a direct limiter on AI visibility even when the content itself is strong.

Next step

Update crawling rules so major AI crawlers you want visibility from are allowed to access the site.

❌ No Wikidata entity found for the brand

What we saw

No Wikidata item ID was associated with the brand in the evaluation. That means there isn’t a clear, machine-readable entity reference we could connect to your identity.

Why this matters for AI SEO

Entity-based identity signals help AI systems disambiguate and verify who you are. Without that anchor, your brand can look less “confirmed” across different AI systems and datasets.

Next step

Create and/or connect a Wikidata entity for the brand so AI systems have a stronger identity reference.

Performance

❌ Main homepage content is slow to appear

What we saw

The homepage’s primary content took longer than expected to fully render, with the reported Largest Contentful Paint measured at 6.75 seconds. This points to a slower “first meaningful view” for visitors.

Why this matters for AI SEO

Slower loading can reduce how effectively both users and automated systems engage with the page. Over time, that can translate into weaker visibility signals and less consistent discovery.

Next step

Improve initial load speed on the homepage so the main content appears sooner.

Reputation

❌ Identity consistency is incomplete

What we saw

While the brand name and domain appear consistent, a verified physical address was missing across the data used in the analysis. That prevented a full identity match.

Why this matters for AI SEO

AI systems look for consistent identity signals to confirm they’re referencing the right entity. When those anchors are incomplete, it can dilute trust and make attribution less stable.

Next step

Add a consistent, non-empty business address where it’s appropriate for your brand presence.

❌ No Wikidata presence detected

What we saw

No matching Wikidata entity was found for the brand. This also meant related identity checks tied to Wikidata couldn’t be confirmed.

Why this matters for AI SEO

Wikidata can act as a widely recognized identity reference that helps AI models unify information about a brand. Without it, your digital identity can look more fragmented.

Next step

Establish a Wikidata entry for the brand and ensure it accurately reflects your official identity.

❌ Official identity anchors couldn’t be verified

What we saw

Because no Wikidata entity was found, the analysis couldn’t verify official identity anchors tied to that entity. This left fewer confirmed “source-of-truth” references.

Why this matters for AI SEO

When AI systems can’t validate identity anchors, they may be less confident about which profiles, pages, or references are truly official. That can weaken brand trust signals in AI outputs.

Next step

Connect the brand to verifiable identity anchors that can be consistently referenced across the web.

❌ No clear consensus on official social profiles

What we saw

The analysis did not find broad consensus among AI models about which social profiles are official for the brand. This makes your social presence harder to confirm.

Why this matters for AI SEO

When official profiles aren’t clearly established, AI systems can hesitate to associate the right channels with your brand. That can impact trust and reduce the chance of your profiles being referenced in AI answers.

Next step

Align your offsite brand presence so official social profiles are consistently recognized.

❌ Homepage doesn’t link to major social platforms

What we saw

The homepage HTML did not contain links to major social platforms like LinkedIn, X, or Facebook. That removes an easy, on-site confirmation path for official profiles.

Why this matters for AI SEO

Direct links from your site help AI systems verify which offsite profiles are truly associated with your brand. Without those signals, your social identity can appear less grounded.

Next step

Add clear homepage links to your official social profiles where applicable.

❌ No owned press or onsite media mentions were flagged

What we saw

The brand trust analysis didn’t flag any owned press releases or onsite media mentions. That suggests there isn’t a clear, easy-to-find place where you highlight coverage or announcements on your own site.

Why this matters for AI SEO

AI systems often look for authoritative, on-site references that reinforce reputation and legitimacy. When those signals aren’t clearly present, it can reduce how confidently the brand story gets represented.

Next step

Publish a clear onsite area that highlights your announcements and notable mentions.

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 clearly labeled recent “updated” signal

What we saw

We didn’t see a date explicitly labeled as “updated” or “modified” in the visible content. That makes it harder to confirm recency beyond the publish date alone.

Why this matters for AI SEO

AI systems tend to lean on clear freshness cues when deciding what to trust and reuse. If updates aren’t obvious, content may be treated as less current than it actually is.

Next step

Add a visible “updated” or “modified” date where it’s accurate and applicable.

❌ Content isn’t broken into scannable sections

What we saw

The page only included one H2 heading, so the content isn’t divided into multiple clear sections. This makes it tougher to skim and harder for machines to segment.

Why this matters for AI SEO

Generative systems work best when they can quickly identify distinct topics and pull the right snippets. When content isn’t chunked cleanly, key details can be missed or summarized less accurately.

Next step

Rework the page structure so it includes multiple clearly labeled sections.

❌ No table-based structure detected

What we saw

No HTML table was present in the evaluated page content. That means there isn’t an obvious “structured summary” format available for key facts.

Why this matters for AI SEO

Structured layouts can make it easier for AI systems to extract clean, unambiguous information. Without them, important details may be interpreted inconsistently.

Next step

Where it fits naturally, add a simple table to summarize key information.

❌ Subheadings are too sparse or too generic

What we saw

Fewer than two H2 headings were detected, and the heading that was present (“Blog”) is a generic label. As written, it doesn’t communicate what the section is actually about.

Why this matters for AI SEO

Descriptive subheadings act like signposts for AI summarization, helping systems map topics to answers. Generic headings reduce clarity and can lead to weaker or less specific summaries.

Next step

Use multiple subheadings that describe the actual questions or topics covered in each section.

❌ Key answers don’t show up early in the structure

What we saw

With only one H2 and a very short leading paragraph, the page doesn’t present clear, answer-like takeaways near the top of the content. That makes the “what is this page saying?” part harder to grab quickly.

Why this matters for AI SEO

AI systems often prioritize content that surfaces the main point early, especially when generating direct answers. If the key takeaways aren’t easy to find, the page is less likely to be used as a primary source.

Next step

Make sure the opening section includes clear, concrete takeaways that summarize the page’s main points.

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.