Overview:
On 03/25/26 kyoord.com/ scored 50% — **Below Average** – Overall, the site is easy to surface, but it’s missing a few key trust and clarity signals that help AI systems feel confident about what to cite and recommend
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site is technically very sound for discovery, though it lacks specialized sitemaps for images or video.
- Structured Data: 75% - Overall, the site looks mostly solid with well-implemented organization schema, but we weren't able to find any author identification on the resource page.
- AI Readiness: 50% - The site has a solid technical start by allowing AI crawlers and providing clear brand context, though the sitemap is missing update timestamps and there is no Wikidata presence.
- Performance: 83% - Mobile performance generally landed outside the 'poor' range, though the homepage load time was slightly above the threshold.
- Reputation: 12% - We weren't able to find confirmed brand identity or reputation signals in the research, although the site correctly links to its social profiles.
- LLM-Ready Content: 32% - The page is current and well-linked to external services, but it lacks specific author attribution and descriptive section headers that help AI agents verify and categorize information.
Where things stand at a glance
The big picture is that your baseline visibility is in decent shape, but the signals that help AI systems trust and cleanly reuse your information are less consistent. The gaps here mostly show up as missing context around who’s behind the content, how current it is, and how well the brand is corroborated elsewhere. Next, the report breaks down the specific areas where those signals didn’t come through so you can see exactly what’s getting in the way. None of this is unusual—it’s the kind of cleanup that often separates “present” from “preferred” in AI results.
Detailed Report
Discoverability
❌ Visual content isn’t clearly listed for discovery
What we saw
We didn’t see a dedicated way for search systems to find and catalog your images or videos as a distinct set.
Why this matters for AI SEO
Generative engines rely on clear, organized inputs to understand and reuse visual assets alongside your written content. When visual content is harder to inventory, it’s less likely to show up in AI-driven results.
Next step
Create and publish a dedicated listing of your key image and/or video assets so they’re easier to discover and index.
Structured Data
❌ Content doesn’t show a clear individual author
What we saw
On the resource page reviewed, we didn’t see an individual author identified on the page or tied to the content in the supporting markup.
Why this matters for AI SEO
AI systems look for clear accountability to help judge credibility and decide what to cite. When authorship is unclear, it can reduce trust in the content and limit how confidently it’s reused.
Next step
Add a clear, non-generic author name to resource content and ensure it’s consistently represented across the page.
❌ Author identity isn’t backed by external profile links
What we saw
Because an author entity wasn’t present, we couldn’t find any connected external profile links for the creator.
Why this matters for AI SEO
When AI can connect a creator to reliable external identity signals, it’s easier to trust and attribute expertise. Without those connections, the creator is harder to verify.
Next step
Associate each author with a set of consistent external profile links so the identity can be validated.
AI Readiness
❌ Content freshness signals aren’t clearly communicated
What we saw
The sitemap we reviewed didn’t include update dates, so there wasn’t a clear signal for when pages were last changed.
Why this matters for AI SEO
AI crawlers use freshness cues to understand what’s current, what’s stable, and what may have changed. When those signals are missing, it can slow down or weaken how confidently content is reused.
Next step
Add page-level update dates to your sitemap output so content freshness is easier to interpret.
❌ Brand entity verification is limited
What we saw
We didn’t find a Wikidata entity tied to the brand in the research provided.
Why this matters for AI SEO
Generative engines often use widely-referenced entity sources to confirm “who is who” and reduce ambiguity. When that entity trail is missing, identity validation can be harder.
Next step
Establish a consistent, verifiable brand entity reference that AI systems can use to confirm identity.
Performance
❌ Main homepage content appears a bit slow to load
What we saw
The homepage’s primary content took slightly longer than expected to fully appear.
Why this matters for AI SEO
When key content is slower to show up, it can reduce the consistency of what systems can quickly capture and understand. That can weaken visibility and limit how reliably content is processed.
Next step
Improve how quickly the homepage’s main content becomes visible so key information is available sooner.
Reputation
❌ Negative client feedback couldn’t be confirmed
What we saw
In the research provided, we couldn’t verify whether any negative client assertions were present or absent.
Why this matters for AI SEO
Generative engines weigh sentiment and reputation signals when deciding what brands to trust. When that picture isn’t verifiable, confidence can drop.
Next step
Make sure there are clear, verifiable sources that reflect customer sentiment about the brand.
❌ Negative employee feedback couldn’t be confirmed
What we saw
We couldn’t confirm whether negative employee assertions were present or absent based on the available research.
Why this matters for AI SEO
Workplace reputation can influence trust, especially for brands where credibility and integrity matter. If it’s unclear, AI systems have less to go on.
Next step
Ensure there are accessible, verifiable sources that reflect employer/employee sentiment in a consistent way.
❌ Brand recognition wasn’t clearly established
What we saw
We didn’t see confirmed brand recognition in the research provided.
Why this matters for AI SEO
If a brand isn’t consistently recognized, AI systems are less likely to surface it confidently in answers and recommendations.
Next step
Build a clearer footprint of consistent brand mentions and references that can be validated.
❌ Brand identity consistency wasn’t verifiable
What we saw
We didn’t see enough confirmed information to validate consistent brand identity details across sources.
Why this matters for AI SEO
AI systems prefer brands with unambiguous identity signals so they don’t risk mixing you up with something else. Inconsistent or unverified identity makes that harder.
Next step
Make sure your core brand identity details are consistent and easy to verify across your key online profiles and references.
❌ Wikidata match for the brand wasn’t found
What we saw
A matching Wikidata entity wasn’t identified for the brand.
Why this matters for AI SEO
Wikidata is one of the common reference layers used to confirm brand entities. Without it, the brand can be harder to verify at a glance.
Next step
Create or claim a Wikidata entity that clearly represents the brand and matches your official identity.
❌ Official identity anchors weren’t confirmed
What we saw
We didn’t see confirmed “official” anchors (like authoritative identity references) tied to a Wikidata entry in the provided research.
Why this matters for AI SEO
Official anchors reduce ambiguity and help AI systems feel confident they’re referencing the right entity.
Next step
Ensure your primary identity references are connected to an authoritative entity profile that clearly represents the brand.
❌ Third-party reviews weren’t found
What we saw
We didn’t see verified third-party review or customer feedback signals in the research provided.
Why this matters for AI SEO
Independent feedback helps AI systems gauge real-world satisfaction and credibility. When reviews aren’t visible or verifiable, trust signals are weaker.
Next step
Make sure customer feedback exists on recognizable third-party sources that can be referenced and verified.
❌ Review sources weren’t concrete
What we saw
We couldn’t confirm specific, concrete sources for reviews in the data provided.
Why this matters for AI SEO
AI systems trust reviews more when they come from clear, attributable sources rather than vague mentions.
Next step
Ensure review sources are clearly identifiable and consistently referenced.
❌ Major social profile consensus wasn’t confirmed
What we saw
Beyond the homepage link to Instagram, we didn’t see confirmed consensus on the brand’s major social profiles in the research provided.
Why this matters for AI SEO
Consistent, widely-recognized social profiles help AI connect the dots between your site and your broader brand presence.
Next step
Make your primary social profiles easy to verify and consistently associated with the brand.
❌ Independent press or coverage wasn’t verified
What we saw
We didn’t see verified independent (offsite) press or coverage signals in the research provided.
Why this matters for AI SEO
Independent coverage is a strong trust cue because it’s not self-published. Without it, AI systems have fewer third-party references to rely on.
Next step
Build a clearer set of verifiable, independent coverage references that can be cited.
❌ Onsite press or announcements weren’t found
What we saw
We didn’t see onsite press or press-release style content confirmed in the research provided.
Why this matters for AI SEO
Even when it’s owned media, a clear trail of announcements can help AI systems understand brand milestones and validate key claims.
Next step
Publish a clear, easy-to-reference area for brand announcements or press mentions on your site.
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 individual author is assigned to the content
What we saw
We didn’t find an individual author name associated with the page; the only identified creator signal was the organization name.
Why this matters for AI SEO
AI systems are more likely to trust and reuse content when they can connect it to a specific person with accountability.
Next step
Add a clear individual author to the page so the content has a human creator attached.
❌ Recent updates aren’t clearly signaled
What we saw
We didn’t see an explicit modified or update date that indicates the page has been updated recently; the visible dates referenced were publish dates for featured articles.
Why this matters for AI SEO
When updates aren’t clearly signposted, AI systems may treat information as older or less dependable, especially in health-adjacent topics.
Next step
Add a clear “last updated” signal on the page when content is refreshed.
❌ Sections are hard for AI to extract cleanly
What we saw
The page’s main body includes a very long section and, at the same time, several smaller sections that are quite short, which makes the overall structure uneven.
Why this matters for AI SEO
Generative engines tend to perform better when content is broken into consistently sized, self-contained sections they can lift and cite.
Next step
Reshape the page into more evenly-sized sections so the information is easier to reuse in snippets.
❌ No table was found for scannable details
What we saw
We didn’t see a table used anywhere on the page.
Why this matters for AI SEO
Tables can make key facts easier to parse and compare, which helps AI systems extract precise details with less ambiguity.
Next step
Add a simple table where it would help summarize key attributes or comparisons for readers.
❌ Subheadings are often too generic to guide understanding
What we saw
Most subheadings were brief or generic, making it harder to understand what each section is specifically about at a glance.
Why this matters for AI SEO
Clear, descriptive headings help AI map the page’s information architecture and pull the right passage for the right question.
Next step
Rewrite subheadings so they’re more descriptive and clearly reflect the content in each section.
❌ Key answers don’t show up early in most sections
What we saw
In many sections, the opening content was too thin to quickly communicate the main point upfront.
Why this matters for AI SEO
AI systems often favor sections that state the core takeaway early, because it’s easier to interpret and reuse accurately.
Next step
Make sure each section starts with a clear, substantive opening that states the main takeaway.
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.
