Overview:
On 05/19/26 magicmurals.com/ scored 50% — **Below Average** – Overall, the site has some solid fundamentals, but a few visibility and clarity gaps are making it harder for AI systems to confidently find and interpret the full picture.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site is open for indexing with solid metadata, but we ran into 403 errors when trying to access the XML sitemaps.
- Structured Data: 58% - The homepage has solid organization schema, but we weren't able to review any resource-level markup or author details.
- AI Readiness: 17% - The site has a solid About page for context, but it's currently blocking an AI crawler and missing a functional XML sitemap.
- Performance: 44% - Mobile performance generally landed outside the "poor" range for loading and stability, though the homepage is currently struggling with high blocking times that affect responsiveness.
- Reputation: 69% - While the brand has strong recognition and excellent social signals, conflicting address data and the lack of a Wikidata entry are currently acting as bottlenecks for its full reputation potential.
- LLM-Ready Content: 28% - The page lacks the H2-driven structure and authorship details that help AI systems easily categorize and trust content.
The big picture on AI visibility
What stands out most is that a few key visibility signals are either missing or inconsistent, which makes it harder for AI systems to reliably discover your content and feel confident about brand details. These aren’t “mistakes” so much as clarity gaps—things that leave room for uncertainty around discovery, identity, and how easily content can be pulled into answers. The next section breaks down each area where the evaluation flagged a miss, organized by category so it’s easy to scan. Overall, this is a manageable set of issues, and the breakdown below makes it clear what’s actually getting in the way.
Detailed Report
Discoverability
❌ XML sitemap not accessible
What we saw
A standard sitemap was referenced but couldn’t be retrieved during the check, returning an access error instead of a usable file.
Why this matters for AI SEO
When discovery systems can’t access a sitemap, it’s harder for them to consistently find and revisit your key URLs, which can slow down or limit coverage.
Next step
Make sure the standard sitemap can be accessed normally by crawlers and returns successfully.
❌ No image or video sitemap detected
What we saw
We didn’t detect a dedicated image or video sitemap during the scan.
Why this matters for AI SEO
Without dedicated media discovery signals, it can be harder for systems to reliably surface and understand your media assets in the right context.
Next step
Add a discoverable image and/or video sitemap if media content is an important part of how you show up.
Structured Data
❌ Resource or blog page structured data not found
What we saw
A resource/blog page wasn’t available in the provided inputs, so we couldn’t confirm structured data on that type of page.
Why this matters for AI SEO
If content pages don’t carry consistent structured information, AI systems have less reliable context about what the page is and how to categorize it.
Next step
Ensure your resource/blog pages include structured data that clearly describes the page and its content type.
❌ Author not clearly identified on a resource/blog post
What we saw
Because a resource/blog page wasn’t available to review, we couldn’t find a clear, non-generic author associated with an article.
Why this matters for AI SEO
When authorship is unclear, it can reduce trust and make it harder for AI systems to attribute expertise or confidently reuse content.
Next step
Use a clear, specific author name on article-style pages and make it consistently visible to both users and systems.
❌ Missing author identity links (sameAs)
What we saw
We couldn’t verify any author identity links connected to an author profile, since the resource/blog page wasn’t available for evaluation.
Why this matters for AI SEO
Identity links help AI systems connect an author to credible, consistent profiles, which supports trust and reduces ambiguity.
Next step
Add author identity links that point to the author’s established profiles where appropriate.
AI Readiness
❌ One major AI crawler is blocked
What we saw
The site’s crawler rules explicitly disallowed CCBot.
Why this matters for AI SEO
If AI-focused crawlers can’t access the site, it limits how effectively some generative systems can discover, interpret, and reference your content.
Next step
Review crawler access rules and confirm which AI crawlers you want to allow or restrict.
❌ XML sitemap not found or accessible
What we saw
A standard XML sitemap couldn’t be retrieved during the scan due to an access error.
Why this matters for AI SEO
Sitemaps are a straightforward way for systems to find your important pages, and missing access can reduce reliable discovery.
Next step
Make the XML sitemap accessible to crawlers so it can be read and used.
❌ Sitemap update timestamps couldn’t be evaluated
What we saw
Because the sitemap wasn’t accessible, there was no sitemap data available to review for update timestamps.
Why this matters for AI SEO
Without clear update timing signals, it can be harder for systems to understand what’s changed and when they should revisit pages.
Next step
Once the sitemap is accessible, include update timestamps where appropriate so freshness is clearer.
❌ No Wikidata entity associated with the brand
What we saw
We didn’t find a Wikidata item ID connected to the brand.
Why this matters for AI SEO
A missing canonical entity makes it harder for generative systems to consistently confirm identity and connect brand facts across sources.
Next step
Establish a Wikidata entity for the brand so identity can be verified more consistently.
Performance
❌ Homepage responsiveness lag
What we saw
The homepage showed noticeable responsiveness delays during loading, driven by background work that kept the page from feeling snappy.
Why this matters for AI SEO
Slower, less responsive experiences can reduce engagement signals and make it less likely that both users and systems treat the page as a strong result.
Next step
Reduce the sources of blocking work on the homepage so it responds faster during load.
Reputation
❌ Negative client assertions present
What we saw
The findings included specific negative client mentions tied to product quality and service disputes.
Why this matters for AI SEO
Generative systems weigh trust signals heavily, and negative narratives can get repeated or summarized in ways that shape perception.
Next step
Audit the recurring negative themes being mentioned and document the official responses and supporting context you want reflected.
❌ Brand identity details are inconsistent
What we saw
There was conflicting information about the official business address across sources (Tempe, AZ vs. Louisville, KY), plus missing address details in some places.
Why this matters for AI SEO
When core identity details don’t line up, AI systems are more likely to hedge, omit specifics, or mix up brand facts.
Next step
Align the official address information across your key brand references so the same details show up consistently.
❌ No Wikidata entity exists for the brand
What we saw
No matching Wikidata entity was found for the brand.
Why this matters for AI SEO
Wikidata often acts like a “reference point” for entity understanding, and missing it can make identity confirmation harder.
Next step
Create and validate a Wikidata entry so major systems can anchor on a single entity.
❌ No Wikidata identity anchors available
What we saw
Because there’s no Wikidata entity, there were no verified identity anchors available to confirm the official brand details.
Why this matters for AI SEO
Without reliable anchors, generative engines have a tougher time connecting your brand to consistent, verified attributes.
Next step
Once an entity exists, include the key identity anchors that reinforce official brand details.
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 clear author attribution
What we saw
We didn’t find a visible or structured author tied to the page content.
Why this matters for AI SEO
When authorship isn’t clear, AI systems have less to work with for trust and attribution, which can limit how confidently the content gets reused.
Next step
Add a specific, non-generic author name that’s clearly associated with the page.
❌ No non-social outbound references
What we saw
We didn’t see outbound links to third-party, non-social domains; links were either internal or pointed to social profiles.
Why this matters for AI SEO
Outbound references can help AI systems understand the broader context and corroborate claims, which supports trust and clarity.
Next step
Include relevant third-party references where they naturally support the page’s claims or definitions.
❌ Content not broken into readable sections
What we saw
The page didn’t include enough section-level structure to break the content into distinct, scannable parts.
Why this matters for AI SEO
Generative systems tend to extract and reuse content in “chunks,” and weak sectioning makes it harder to pull accurate, self-contained answers.
Next step
Restructure the content so it’s clearly organized into multiple distinct sections.
❌ No table found (bonus)
What we saw
We didn’t find a table used to summarize or structure key details.
Why this matters for AI SEO
Tables can make specific facts easier for AI systems to extract cleanly, especially for comparisons or quick reference information.
Next step
Where it fits the topic, add a simple table that captures key details in a structured way.
❌ Subheadings aren’t descriptive enough
What we saw
The page didn’t include enough meaningful subheadings to clearly label and separate the main ideas.
Why this matters for AI SEO
Clear subheadings act like signposts for AI, helping it understand what each section is about and reducing misinterpretation.
Next step
Add descriptive subheadings that match the questions or topics each section actually answers.
❌ Key answers don’t appear early
What we saw
Because the page wasn’t structured into clear sections, we couldn’t confirm that the most important answers show up early in a way that’s easy to extract.
Why this matters for AI SEO
When key takeaways are buried or hard to locate, AI systems may miss them or pull less relevant snippets instead.
Next step
Make sure the primary takeaways are stated clearly near the top in a way that’s easy to spot.
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.
