Overview:
On 07/27/26 jeremymcgilvrey.com/ scored 69% — **Decent** – Overall, this site comes across as solid and credible for AI visibility, with a few gaps around identity signals and content context that make it harder for engines to connect all the dots.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site is in great shape for discovery with clean technical signals, though adding dedicated sitemaps for images or videos would be a smart next step.
- Structured Data: 58% - The site demonstrates a strong technical foundation with its homepage organization schema, but the lack of verifiable resource-level author and article data is a significant gap for generative engine trust.
- AI Readiness: 67% - The site is technically ready for AI crawling with a valid sitemap and clear brand pages, but it’s missing a Wikidata connection to help engines verify its identity.
- Performance: 50% - Mobile performance is generally solid with great responsiveness, though the main content on the homepage loads slightly slower than the ideal threshold.
- Reputation: 69% - The brand has strong third-party validation through major press and reviews, but it's missing some key technical trust anchors like Wikidata and direct social links on the homepage.
- LLM-Ready Content: 76% - The site is highly readable and well-updated with strong author transparency, though it misses some technical structure like descriptive subheadings and acronym definitions.
What stands out most overall
The big picture is that the site presents well for AI discovery and readability, but a few missing identity and content-connection signals create avoidable ambiguity. These aren’t “bad” problems so much as places where the story isn’t fully stitched together for engines that need clear references. Below, we’ll walk through the specific areas where the evaluation couldn’t confirm key details or found visibility gaps. The good news is the issues here are the kind that can be addressed cleanly once they’re clearly mapped out.
Detailed Report
Discoverability
❌ Image or video discovery listing missing
What we saw
We didn’t find a dedicated way that calls out image or video content for discovery. This stood out as the main gap in how richer media gets surfaced.
Why this matters for AI SEO
When AI systems can’t easily enumerate media content, it’s harder for them to pull your visuals into results and understand the full breadth of what you publish. That can limit visibility for queries where images or video are especially helpful.
Next step
Add a dedicated discovery feed for image and/or video content so crawlers can find and interpret media assets more reliably.
Structured Data
❌ Resource/blog structured data couldn’t be confirmed
What we saw
We weren’t able to review a resource/blog page in the materials available for this evaluation. Because of that, we couldn’t confirm whether that content includes the same structured signals as the homepage.
Why this matters for AI SEO
AI engines lean on consistent structured signals to understand what a page is about and how it relates to your brand. When that layer can’t be verified on content pages, it weakens how confidently engines can reuse and cite the content.
Next step
Make sure your resource/blog pages include structured details that clearly describe the page type and how it connects back to your brand.
❌ Author information on resource/blog content couldn’t be verified
What we saw
Because the resource/blog page wasn’t available to review, we couldn’t verify that the author is clearly identified in a non-generic way. That leaves a gap in how clearly expertise is attached to the content.
Why this matters for AI SEO
Generative engines are more likely to trust and reuse content when they can tie it to a real person with a consistent identity. Unclear author identity makes it harder to build that trust at the content level.
Next step
Ensure each resource/blog post clearly names the author in a consistent, specific way.
❌ Author profile links (sameAs) couldn’t be verified
What we saw
We couldn’t confirm whether the author is connected to external profile URLs from the resource/blog content, since that page wasn’t available in this evaluation. As a result, those identity connections weren’t verifiable here.
Why this matters for AI SEO
Profile links help AI systems reconcile that an author is the same person across the web, which improves confidence in attribution. Without those connections, it’s easier for authorship to feel ambiguous.
Next step
Connect the author to consistent external profile URLs so engines can more confidently validate authorship.
AI Readiness
❌ No Wikidata entity found for the brand
What we saw
We didn’t find a Wikidata entity associated with the brand in the dataset we reviewed. That means there isn’t a clear knowledge-base record to anchor the brand’s identity.
Why this matters for AI SEO
AI engines use established knowledge bases as a reliable “source of truth” for identity and relationships. When there’s no entity to reference, it can be harder for systems to confidently connect your brand details across sources.
Next step
Create (or claim, if it already exists) a Wikidata entity for the brand and align it with your official identity details.
Performance
❌ Primary homepage content appears slowly
What we saw
The main visual content on the homepage took a little over five seconds to fully appear. That makes the first impression feel slower than it should.
Why this matters for AI SEO
Slow-loading primary content can reduce how effectively pages are accessed and assessed, especially when engines or users are scanning quickly for answers. It can also make it harder for your strongest messaging to land immediately.
Next step
Review what’s delaying the first main homepage content from showing and streamline it so the page becomes useful sooner.
Reputation
❌ Brand address is inconsistent across sources
What we saw
We couldn’t confirm a consistent address across the sources reviewed. That makes the brand’s location details feel less settled than the rest of the identity.
Why this matters for AI SEO
AI systems look for consistent identity details to verify that references point to the same real-world entity. When core details don’t line up, it can reduce confidence in entity matching.
Next step
Align the brand’s address so the same location details show up consistently across major references.
❌ No Wikidata entity match for the brand
What we saw
A Wikidata entity for the brand wasn’t found. That leaves a gap in the most universally recognized identity layer many AI systems rely on.
Why this matters for AI SEO
Without a clear entity match, generative engines have fewer deterministic signals to confirm who you are and what you’re associated with. That can make attribution and brand context less stable.
Next step
Establish a Wikidata entity for the brand so there’s a clear, public identity record to reference.
❌ Missing Wikidata identity anchors
What we saw
We didn’t find official identifiers anchored via Wikidata (like an official website connection) for the brand. That means key verification tie-ins aren’t present in that ecosystem.
Why this matters for AI SEO
Identity anchors help AI engines connect a brand to its official properties with higher confidence. When those anchors are missing, it’s easier for systems to treat the entity as incomplete or unverified.
Next step
Add the brand’s official identity anchors to its Wikidata record so it clearly points back to the right web properties.
❌ Homepage doesn’t link to major social profiles
What we saw
We didn’t find direct links from the homepage to major social platforms. That removes an easy, on-page confirmation trail for your brand presence.
Why this matters for AI SEO
Generative engines often use onsite-to-offsite connections as lightweight verification that a site is associated with the real brand it claims to represent. When those links aren’t present, that trust signal is weaker.
Next step
Add clear homepage links to your primary official social profiles so the brand’s identity connections are easy to verify.
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 table-based summary found
What we saw
We didn’t find a visible HTML table within the article content. That means key comparisons or structured takeaways aren’t presented in a compact, scannable format.
Why this matters for AI SEO
Tables can make important details easier for AI systems to extract and reuse accurately, especially when summarizing options, steps, or comparisons. Without one, key information may be more likely to get paraphrased loosely.
Next step
Add a simple table where it naturally fits to summarize key takeaways, comparisons, or definitions.
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.
