Detailed Report:

Discoverability

❌ No image or video sitemap detected

What we saw

We didn’t see a dedicated sitemap for image or video content. That means your visual content doesn’t have a clear, centralized “inventory” for crawlers to follow.

Why this matters for AI SEO

Generative engines often pull supporting visuals into answers and summaries, but they need consistent signals to discover and understand those assets. When visuals are harder to find at scale, they’re less likely to be surfaced and associated with your brand.

Next step

Add a dedicated image and/or video sitemap so your visual assets are easier for crawlers to discover and connect back to relevant pages.

Structured Data

❌ Blog/resource page markup couldn’t be reviewed

What we saw

A blog/resource page file wasn’t provided for evaluation, so we couldn’t confirm whether that content includes the expected markup. As a result, this part of the site is effectively a blind spot in the review.

Why this matters for AI SEO

When AI systems summarize or cite content, they lean on consistent page-level signals to understand what a page is, who wrote it, and how it should be attributed. If those signals aren’t present (or can’t be verified), the content can be harder to trust and reuse.

Next step

Make sure a representative blog/resource page is available to review, and confirm it includes clear page and author identification signals.

❌ Author clarity on resource/blog posts couldn’t be confirmed

What we saw

Because the resource/blog page wasn’t available, we couldn’t verify that posts consistently show a clear, non-generic author. This leaves uncertainty around authorship on content pages.

Why this matters for AI SEO

Authorship is one of the simplest ways for AI systems to assess credibility and attribute expertise. If author signals are missing or inconsistent, content is less likely to be treated as confidently attributable.

Next step

Ensure your resource/blog posts visibly name a real author and keep that author attribution consistent across pages.

❌ Author profile linking (SameAs) couldn’t be confirmed

What we saw

We couldn’t verify whether author profiles include external identity links (like official profile references) because the resource/blog page wasn’t provided. That makes it harder to validate author identity signals.

Why this matters for AI SEO

Generative engines often cross-check identities to reduce ambiguity, especially when multiple people or brands have similar names. Without clear profile linking, it’s easier for systems to hesitate or misattribute.

Next step

Add consistent author profile references on content pages so AI systems have clearer identity confirmation points.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We didn’t find a Wikidata entity tied to the brand. That leaves a key third-party identity reference missing.

Why this matters for AI SEO

AI systems use well-known entity sources to disambiguate brands and confirm “who’s who” across the web. When that anchor is missing, it can be harder for models to confidently connect your site, name, and mentions into one consistent identity.

Next step

Create and validate a Wikidata entity for the brand that reflects your official name and core identity details.

Reputation

❌ Negative client feedback surfaced in offsite sources

What we saw

We found affirmed negative feedback from clients in offsite sources. This is showing up as a notable trust signal in the broader brand footprint.

Why this matters for AI SEO

Generative engines factor in offsite sentiment when deciding what brands to recommend or describe positively. Negative client assertions can reduce confidence even when onsite messaging is strong.

Next step

Review the specific offsite sources where negative client feedback appears and document what’s accurate versus outdated or unrepresentative.

❌ Negative employee feedback surfaced in offsite sources

What we saw

We found affirmed negative feedback from employees in offsite sources. This adds another layer of skepticism in how the brand may be interpreted.

Why this matters for AI SEO

AI-generated brand summaries often blend customer, employee, and press narratives together. Negative employee assertions can weigh down trust and credibility signals in those summaries.

Next step

Audit the offsite narratives around employee sentiment so you have a clear handle on what’s being represented publicly.

❌ Brand identity details look inconsistent across sources

What we saw

There were conflicts across AI models around the official brand name and address, and the identity consensus data was incomplete. In practice, this reads like “not fully resolved” identity information.

Why this matters for AI SEO

When identity details don’t line up cleanly, AI systems can hesitate to attribute mentions, reviews, and coverage to the right entity. That uncertainty can reduce visibility and weaken how confidently the brand is described.

Next step

Standardize how your official brand name and address are represented across your key public profiles and references.

❌ Wikidata is missing as an offsite identity anchor

What we saw

No matching Wikidata entity was found for the brand, and there weren’t official identity anchors available there to confirm the brand. This leaves a gap in high-authority third-party identity confirmation.

Why this matters for AI SEO

Entity anchors help generative systems connect dots between your site, mentions, and profiles without confusion. When that anchor is absent, models have fewer reliable reference points to verify brand identity.

Next step

Establish a Wikidata presence that includes official identity references to help reinforce a single, consistent brand entity.

❌ Homepage doesn’t link to major social profiles

What we saw

We weren’t able to find homepage links to major global social platforms (for example, LinkedIn or Instagram). While other platforms were present, the common “trust anchor” profiles weren’t.

Why this matters for AI SEO

AI systems often look for consistent, widely-recognized profile references to validate brand identity and legitimacy. Missing those links can make the brand feel less connected and harder to confirm across the web.

Next step

Add clear links from the homepage to the brand’s primary social profiles that you want AI systems to treat as official.

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 HTML table used for high-density info

What we saw

We didn’t see a table used to present information in a compact, structured way. The content is readable, but key points aren’t packaged into a format that’s especially easy to extract.

Why this matters for AI SEO

Generative engines are more likely to reuse and summarize content cleanly when definitions, comparisons, or steps are presented in structured, scannable formats. Without that, important details can get lost in long-form text.

Next step

Add at least one table where it naturally fits (for example, comparisons, definitions, or process steps) to make key information easier to lift and summarize.

❌ Subheadings are often too generic

What we saw

Several subheadings were generic labels (for example, “FAQ”) or didn’t clearly preview the section’s specific takeaway. That makes the structure feel less descriptive at a glance.

Why this matters for AI SEO

AI systems lean on headings to understand the “map” of a page and connect each section to a concrete topic. When headings are vague, the model has to do more guesswork to interpret what each section is actually about.

Next step

Rewrite generic headings so they state the real question or claim the section answers in plain language.

❌ Key answers don’t show up early in many sections

What we saw

Many sections didn’t open with a strong, context-rich first paragraph, so the main answer or takeaway tends to arrive later. This can make the early part of a section feel like a ramp-up rather than an immediate summary.

Why this matters for AI SEO

Generative engines often prioritize early, clear explanations when building summaries and extracting direct answers. If the “so what” doesn’t appear quickly, the content can be harder to quote accurately or may be summarized more loosely.

Next step

Adjust section openings so the first paragraph quickly states the main takeaway before moving into supporting detail.

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.