Overview:
On 02/04/26 artofskincare.com/ scored 50% — **Below Average** – Overall, the site has a decent foundation, but a few missing clarity signals and content cues are holding back how confidently AI systems can interpret it.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - Everything on the technical side looks solid and the site is easy to find, though adding an image or video sitemap would be a nice win for your visuals.
- Structured Data: 0% - We weren't able to find any schema markup on the homepage or blog pages, which is one of the bigger gaps we saw in this review.
- AI Readiness: 50% - The site has a solid foundation with open crawler access and clear brand pages, but it's missing the machine-readable data like sitemap timestamps and a Wikidata profile that AI engines rely on.
- Performance: 50% - The site is stable and responsive once it gets going, but the massive delay in loading the main visual content is a major bottleneck.
- Reputation: 81% - The brand has a strong footprint with established reviews and press mentions, though missing Wikidata records and some address inconsistencies are the only real gaps.
- LLM-Ready Content: 16% - While the site identifies expert authors, it lacks the technical structure and external citations necessary to be fully optimized for generative AI systems.
The main takeaway before the details
What stands out most is that the site is generally discoverable and has some solid offsite credibility, but it’s not giving AI systems enough consistent, structured clarity to confidently interpret the brand and its content. A lot of the gaps are less about “something being wrong” and more about missing context signals that help with understanding, trust, and summarization. The next section breaks down the specific areas where those signals were missing, grouped by category so it’s easy to follow. Overall, this is a manageable set of issues—and once they’re clarified, the site should read more cleanly to generative engines.
Detailed Report
Discoverability
❌ Image or video sitemap missing
What we saw
A standard sitemap was found, but we didn’t see a dedicated sitemap for images or videos.
Why this matters for AI SEO
When media content isn’t as clearly mapped, it can be harder for discovery systems to fully understand and surface visual assets in the right contexts.
Next step
Add a dedicated image and/or video sitemap so media content is easier to discover and interpret.
Structured Data
❌ No schema markup found on the homepage
What we saw
We didn’t see any structured markup on the homepage in the data provided.
Why this matters for AI SEO
Without structured markup, AI systems have fewer explicit signals to reliably interpret what the business is, what it offers, and how to categorize it.
Next step
Add structured markup to the homepage that clearly describes the brand and what the site represents.
❌ Organization-level schema not detected
What we saw
No organization-related structured markup (for brand identity and business details) was found on the homepage.
Why this matters for AI SEO
Clear brand identity signals help AI systems connect the website to the correct entity and reduce ambiguity in summaries and recommendations.
Next step
Include organization-level structured markup that confirms official brand identity details.
❌ Blog/resource page structured data couldn’t be evaluated
What we saw
The resource/blog page HTML wasn’t provided, so we couldn’t confirm whether structured markup is present there.
Why this matters for AI SEO
Content pages are often where AI pulls supporting context, and missing/unclear structured signals can make those pages harder to interpret and trust.
Next step
Provide or validate the resource/blog page markup so structured data can be confirmed on content pages.
❌ “No major schema errors” couldn’t be confirmed
What we saw
Because no structured markup was found, there wasn’t anything to validate for correctness.
Why this matters for AI SEO
AI systems tend to rely on consistent, validated signals; having none makes it harder to establish clean, dependable understanding.
Next step
Add structured markup and validate it so it’s both present and interpretable.
❌ Resource/blog author clarity couldn’t be verified
What we saw
We couldn’t evaluate whether a specific, non-generic author is clearly presented on the resource/blog page because the page data wasn’t available.
Why this matters for AI SEO
Clear authorship helps AI systems assess credibility and attribute expertise, especially for informational content.
Next step
Confirm that resource/blog pages clearly name a real author and that this is consistently available for evaluation.
❌ Author “sameAs” links not detected
What we saw
No author-level structured markup or “sameAs” links were detected in the data we reviewed.
Why this matters for AI SEO
When authors can’t be clearly connected to consistent profiles, it’s harder for AI systems to confirm identity and authority.
Next step
Add author-level structured markup that includes consistent “sameAs” profile links where appropriate.
AI Readiness
❌ Sitemap update information not included
What we saw
The XML sitemap was missing update timing information, so content freshness couldn’t be read from the sitemap itself.
Why this matters for AI SEO
If update timing isn’t clear, AI crawlers may have a harder time prioritizing what’s new or recently refreshed.
Next step
Update the sitemap so it includes clear last-updated information for listed pages.
❌ No Wikidata entity found for the brand
What we saw
We didn’t find a Wikidata entry associated with the brand in the data provided.
Why this matters for AI SEO
A clear, machine-readable entity helps generative systems disambiguate your brand and connect it to consistent identity signals.
Next step
Create and/or confirm a Wikidata entity that clearly represents the brand.
Performance
❌ Main content appears very late on the homepage
What we saw
The primary content on the homepage took an unusually long time to fully appear.
Why this matters for AI SEO
When meaningful content loads late, both users and automated systems may have a harder time quickly accessing and interpreting what the page is about.
Next step
Identify what’s delaying the homepage’s main content from appearing promptly and address it.
Reputation
❌ Brand identity appears inconsistent across sources
What we saw
We saw conflicting business address information across sources, with references to both Lindon, UT and Redding, CA.
Why this matters for AI SEO
When identity details conflict, AI systems can get cautious about which information is “official,” which can reduce confidence in how they describe the brand.
Next step
Align and confirm the brand’s official address details so they match consistently across key sources.
❌ No matching Wikidata entity confirmed
What we saw
No matching Wikidata entity was found for the brand in the results provided.
Why this matters for AI SEO
Without an entity anchor, it’s harder for AI systems to reliably connect your brand to a single, consistent identity.
Next step
Establish a Wikidata entity for the brand and ensure it clearly matches the business.
❌ Wikidata identity anchors missing
What we saw
Official identity anchors (like confirmed official site and identifiers) weren’t present via Wikidata in the data provided.
Why this matters for AI SEO
Identity anchors help AI systems validate that they’re referencing the right brand and pulling the right canonical details.
Next step
Ensure the brand’s Wikidata entry includes clear official identity anchors.
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
❌ Publish or update date not visible
What we saw
No explicit publish date or “last updated” date was detected in the visible page text or supporting page data.
Why this matters for AI SEO
When dates aren’t clear, AI systems have a harder time judging whether the information is current and safe to rely on.
Next step
Add a clear publish date and/or updated date that’s easy to find on the page.
❌ Recency can’t be confirmed
What we saw
Because an update date wasn’t found, we couldn’t verify whether the content has been updated recently.
Why this matters for AI SEO
If freshness can’t be established, AI summaries may treat the content as less dependable for time-sensitive questions.
Next step
Make update timing explicit so content recency can be confidently understood.
❌ No outbound references beyond social platforms
What we saw
We didn’t find links to external, non-social third-party sources in the content area.
Why this matters for AI SEO
Outbound references can help AI systems understand what the page is grounded in and how it connects to broader, trusted context.
Next step
Include relevant third-party references where it makes sense so the page has clearer supporting context.
❌ Content isn’t broken into enough readable sections
What we saw
Only two main sections were identified using heading structure, which limits how clearly the page is segmented.
Why this matters for AI SEO
When content isn’t cleanly chunked, AI systems can struggle to extract, summarize, and reuse specific parts accurately.
Next step
Restructure the content so it’s divided into more clearly separated, scannable sections.
❌ No table-based formatting found
What we saw
No HTML table elements were found in the page content.
Why this matters for AI SEO
Tables can make key comparisons and structured facts easier for AI systems to parse and restate cleanly.
Next step
Where appropriate, present structured information in a simple table format.
❌ Subheadings are too generic
What we saw
Some subheadings (like “New Arrivals” and “On The Blog”) were detected as short and non-specific.
Why this matters for AI SEO
Generic headings give AI less context about what each section contains, which can weaken summarization and section-level extraction.
Next step
Rewrite subheadings so they describe the specific topic or takeaway of each section.
❌ Key answers don’t clearly show up early
What we saw
The sections didn’t include standard paragraph structures with enough substance to confirm that key answers appear early in the content.
Why this matters for AI SEO
If the core takeaway isn’t easy to spot upfront, AI systems may miss the point or pull less useful snippets.
Next step
Make sure each main section opens with clear, substantive text that communicates the primary takeaway.
❌ Unexplained acronyms reduce clarity
What we saw
Acronyms like HSA, FSA, and MVP appeared without nearby explanations.
Why this matters for AI SEO
When terms aren’t defined, AI systems (and readers) can misinterpret meaning, which lowers confidence and accuracy in summaries.
Next step
Define acronyms the first time they appear so the content is unambiguous.
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.
