Detailed Report:

Discoverability

❌ No dedicated image or video sitemap found

What we saw

We didn’t see a dedicated sitemap for images or videos. That makes it harder for your visual content to be consistently discovered and cataloged.

Why this matters for AI SEO

AI search experiences often pull in visual content as supporting evidence and context. When visuals aren’t clearly discoverable, it reduces the chances they’ll be surfaced alongside your brand.

Next step

Add dedicated image and/or video sitemap coverage so visual assets are easier for search engines and AI systems to discover.

Structured Data

❌ Structured data wasn’t confirmed on a blog/resource page

What we saw

We weren’t able to review a blog/resource page as part of this evaluation, so we didn’t see structured data support there. As a result, content-rich pages aren’t showing the same level of clarity signals we can confirm on the homepage.

Why this matters for AI SEO

When content pages don’t clearly describe what they are, who created them, and how they relate to your brand, AI systems have less to anchor to. That can limit how confidently your content gets summarized or cited.

Next step

Make sure your blog/resource templates include structured data so content pages can be understood as clearly as the homepage.

❌ No clear, non-generic author was validated for a resource/blog post

What we saw

No resource/blog post was available to verify a specific author identity. Without a clear author, the content reads as “from the site,” rather than from a real person.

Why this matters for AI SEO

Authorship is a trust cue for AI engines when they decide what to reuse or reference. If the author isn’t clear, it’s harder for systems to evaluate credibility.

Next step

Use a consistent, clearly named author on resource/blog content so attribution is unambiguous.

❌ Author profile links weren’t found

What we saw

We didn’t see author profile links associated with an author entity for resource/blog content. This typically shows up as a lack of connected identity references.

Why this matters for AI SEO

When author identity can’t be connected to consistent profiles, AI systems have fewer reliable ways to validate who’s speaking. That can reduce perceived authority.

Next step

Connect authors to consistent public profile links so their identity is easier for AI systems to corroborate.

AI Readiness

❌ Sitemap doesn’t show when pages were last updated

What we saw

The XML sitemap didn’t include update timestamps for URLs. That means there’s no clear “this is the latest version” signal for your pages.

Why this matters for AI SEO

AI systems and search engines rely on freshness cues to decide what to crawl, trust, and potentially surface. When update timing isn’t clear, newer or improved pages can be slower to gain visibility.

Next step

Include page-level update timestamps in the sitemap so recency is clearly communicated.

❌ No Wikidata entity found for the brand

What we saw

We didn’t find a Wikidata entity associated with the brand. That leaves a gap in how your business is corroborated as a known entity across the web.

Why this matters for AI SEO

Entity confirmation helps LLMs feel confident they’re talking about the right brand. Without it, your brand can be harder to verify or differentiate.

Next step

Establish a clear Wikidata entity for the brand so AI systems have a consistent reference point.

Performance

❌ Responsiveness issues on the homepage

What we saw

The homepage showed heavy processing delays that can make interactions feel sluggish, especially on mobile. This kind of “lag” typically shows up before the page feels fully responsive.

Why this matters for AI SEO

When real users have a slower experience, engagement and trust signals tend to weaken. That can indirectly reduce how confidently your pages get prioritized and surfaced.

Next step

Reduce the sources of main-thread blocking so the homepage responds quickly on mobile.

❌ Main content appears a bit late on the homepage

What we saw

The main above-the-fold content took slightly longer than expected to fully appear. Users may perceive this as waiting too long for the page to “load.”

Why this matters for AI SEO

AI-driven discovery still depends heavily on pages that satisfy users quickly. When key content shows up late, it can dampen overall confidence and engagement.

Next step

Improve how quickly the primary homepage content renders so users see value sooner.

Reputation

❌ Brand identity details weren’t consistently verifiable

What we saw

A physical address wasn’t present in the available identity signals. That makes the brand’s real-world footprint harder to confirm.

Why this matters for AI SEO

Consistent identity details help AI systems disambiguate and validate a business. When key details are missing, trust and entity confidence can be harder to establish.

Next step

Publish a consistent, verifiable business address wherever your brand identity is presented.

❌ No matching Wikidata entity was found

What we saw

We didn’t see a Wikidata entry that matches the brand. This creates a gap in third-party entity confirmation.

Why this matters for AI SEO

Wikidata is a common reference point for knowledge validation. Without it, AI systems may have fewer “official-feeling” sources to cross-check.

Next step

Create or claim a Wikidata entry that clearly matches the brand name and official site.

❌ Official identity anchors weren’t present on Wikidata

What we saw

We didn’t find official identity anchors (like an official website reference or identifiers) associated with a Wikidata listing for the brand. This leaves less corroborating detail for entity validation.

Why this matters for AI SEO

AI systems look for consistent “anchors” that tie a brand’s identity together across sources. When those anchors aren’t present, the brand can feel less established.

Next step

Ensure the brand’s Wikidata presence includes official identity anchors that point back to the business.

❌ Third-party reviews or customer feedback weren’t found

What we saw

We didn’t see signals indicating third-party customer feedback exists. That means there’s limited independent sentiment for AI systems to reference.

Why this matters for AI SEO

Reviews are a core trust signal because they’re external and harder to manufacture. Without them, AI summaries have less support when describing credibility and customer experience.

Next step

Build a visible footprint of third-party customer feedback on reputable platforms.

❌ Review sources weren’t concrete or verifiable

What we saw

No clear review sources showed up in the available signals. Even if customers are happy, it’s difficult to confirm without recognizable sources.

Why this matters for AI SEO

AI systems prefer review signals that can be tied back to known platforms. When sources aren’t concrete, the brand’s reputation is harder to summarize with confidence.

Next step

Make sure reviews are present on recognizable third-party sources that AI systems can consistently reference.

❌ No clear consensus on major social profiles

What we saw

We didn’t see consistent confirmation of major social profiles tied to the brand. This makes it harder to triangulate the brand’s official presence.

Why this matters for AI SEO

Strong offsite identity signals help AI systems confirm legitimacy and reduce confusion with similarly named brands. Social profiles often act as supporting evidence.

Next step

Establish and consistently reference official social profiles so they’re easy to validate.

❌ Homepage didn’t link to major social profiles

What we saw

We didn’t find links to major social platforms on the homepage. That removes an easy, on-site confirmation path for your official profiles.

Why this matters for AI SEO

Homepage-to-profile linking helps AI systems (and people) quickly verify what’s official. Without that connection, your offsite authority looks thinner.

Next step

Add clear homepage links to your official social profiles so they’re unambiguous.

❌ No independent press or coverage was found

What we saw

We didn’t see evidence of independent press mentions or coverage. That means there’s limited third-party validation beyond your own channels.

Why this matters for AI SEO

Independent coverage gives AI systems additional trusted sources to cite when describing your brand. Without it, brand narratives rely more heavily on self-published context.

Next step

Develop independent coverage signals that can be referenced as third-party validation.

❌ No onsite press or press releases were found

What we saw

We didn’t see a press or announcements footprint on the site. This reduces the amount of structured brand storytelling available for AI to pull from.

Why this matters for AI SEO

Even when press is self-published, it helps create a clear timeline of brand updates, partnerships, and milestones. That makes it easier for AI systems to summarize your brand consistently.

Next step

Create an onsite press or announcements hub so key brand updates are easy to 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 specific author shown

What we saw

We didn’t see a specific individual credited as the author in the visible content. The page reads as brand-owned content without clear human attribution.

Why this matters for AI SEO

AI engines often lean on authorship to judge credibility and decide what’s safe to reuse. Without a named author, content trust is harder to establish.

Next step

Add a clearly named author to the page so ownership and expertise are easy to recognize.

❌ No publish or update date shown

What we saw

We didn’t see an explicit publication or “last updated” date on the page. That removes a basic timing signal for readers and AI systems.

Why this matters for AI SEO

Dating helps AI systems judge relevance and freshness, especially for fitness and product-adjacent guidance. Without it, the content can be treated as harder to validate.

Next step

Display a publish date (and update date when applicable) so recency is clear.

❌ Freshness couldn’t be verified

What we saw

Because no date was present, we couldn’t confirm whether the content has been updated recently. The page doesn’t provide a clear “this is current” signal.

Why this matters for AI SEO

Freshness affects whether AI systems trust a page as a current reference. If recency is unknown, the content may be less likely to be reused.

Next step

Include clear update timing signals so the content’s recency can be validated.

❌ Content isn’t broken into substantial sections

What we saw

The page layout is primarily a product grid, and we didn’t see multiple substantial text sections that give AI systems enough material to extract and summarize. Overall, it lacks longer, self-contained blocks of explanatory content.

Why this matters for AI SEO

Generative engines tend to work best with clearly separated sections that each make a complete point. When content is fragmentary, it’s harder to quote, summarize, or attribute accurately.

Next step

Restructure the page so it includes several clear, text-based sections that explain key ideas in complete chunks.

❌ No table-based content found

What we saw

We didn’t find any table elements presenting structured comparisons or quick-reference info. The page doesn’t offer an easy scannable summary format.

Why this matters for AI SEO

Tables can make key facts easier for AI systems to extract cleanly and reuse in summaries. Without them, important comparisons may be harder to interpret.

Next step

Add a simple table where it naturally fits to summarize key comparisons or specs.

❌ Subheadings are generic and low-context

What we saw

The subheadings we saw were mostly generic labels (for example, navigation- or template-like headings) instead of descriptive topic cues. They don’t clearly map what each section is about.

Why this matters for AI SEO

Clear subheadings act like signposts for AI, helping it understand how information is organized and what’s important. Generic headings make the page harder to parse and summarize.

Next step

Rewrite subheadings to be descriptive so each section’s purpose is obvious at a glance.

❌ Key answers don’t show up early in sections

What we saw

Section introductions were too short to clearly state the main point early on. That leaves less immediate context for what each section is trying to communicate.

Why this matters for AI SEO

Generative systems often prioritize pages that quickly establish the “answer” or core takeaway near the top of a section. If the meaning comes later (or not at all), the content is less reusable.

Next step

Expand section openers so the main takeaway is stated clearly upfront.

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.