Overview:
On 04/04/26 lunaaerial.com scored 46% — **Below Average** – Overall, the site is easy to find, but a few important details aren’t coming through consistently for AI-driven visibility
Executive summary
Score Breakdown (High Level)
- Discoverability: 92% - Everything looks mostly solid here, though adding an image or video sitemap would be a smart next step to make sure all your visual content gets found.
- Structured Data: 58% - The homepage is in good shape with valid local business schema, but we couldn't confirm any structured data or authorship for the blog or resource sections.
- AI Readiness: 50% - The site has a healthy technical foundation with open crawling and accessible sitemaps, though it's missing a dedicated 'About' page and a Wikidata entity to help AI engines fully verify the brand's identity.
- Performance: 50% - Mobile performance is generally solid with good responsiveness and stability, though the initial largest content load is slightly slower than the ideal five-second mark.
- Reputation: 12% - The brand's offsite authority is limited by a lack of Wikidata presence and missing consensus data, though its social media integration is correctly implemented.
- LLM-Ready Content: 48% - The page is well-structured and readable, though it misses key optimization signals like descriptive subheadings and a clear author bio.
The big picture on AI visibility
What stands out most is that the site is generally easy to access and understand at a surface level, but some of the credibility and content clarity signals aren’t consistently coming through. The gaps read less like “something is wrong” and more like missing context that makes it harder for AI systems to confidently interpret who you are and what your key pages represent. The sections below walk through the specific areas where those signals didn’t show up clearly, from brand trust and identity to content structure and a couple of discoverability and load-experience items. The good news is these are common, fixable themes once you know exactly what’s being missed.
Detailed Report
Discoverability
❌ Image or video sitemap not found
What we saw
We didn’t detect an image sitemap or a video sitemap. That means visual content may not be getting surfaced as consistently as the rest of the site.
Why this matters for AI SEO
Generative engines often lean on clearly surfaced, well-organized content sources to understand what a brand offers. If visual assets are harder to discover, they’re less likely to be included as supporting context.
Next step
Create and publish an image and/or video sitemap and make sure it’s discoverable alongside your existing sitemap setup.
Structured Data
❌ Structured data on the resource/blog page couldn’t be verified
What we saw
The resource/blog page HTML wasn’t available in the evaluation packet, so we couldn’t confirm whether structured data exists on that page.
Why this matters for AI SEO
When AI systems try to interpret content credibility, they rely on consistent, page-level signals to understand what a page is and who it’s for. If those signals can’t be confirmed on content pages, it creates uncertainty around authority.
Next step
Provide (or validate) the resource/blog page markup so structured data on content pages can be confirmed.
❌ Resource/blog author wasn’t confirmable
What we saw
Because the resource page wasn’t provided, we couldn’t verify that posts have a clear, non-generic author.
Why this matters for AI SEO
Authorship helps generative engines connect content to a real person or accountable source. When author identity is missing or unverifiable, it can reduce confidence in the content.
Next step
Ensure each resource/blog post clearly identifies an author in a consistent, non-generic way that can be validated on-page.
❌ Author identity links couldn’t be verified
What we saw
We couldn’t verify any author identity links (like sameAs references) since the author data on the resource page wasn’t available.
Why this matters for AI SEO
Clear identity references make it easier for AI systems to connect an author to their broader professional footprint. Without that connective tissue, the author signal is weaker.
Next step
Add consistent author identity references on content pages so the author can be confidently connected across the web.
AI Readiness
❌ Brand context page wasn’t detected from the homepage
What we saw
We didn’t find an internal link from the homepage that clearly points to an About/Team/Company-style page.
Why this matters for AI SEO
Generative engines do better when they can quickly pull basic brand context—who you are, what you do, and why you’re credible. If that context isn’t easy to locate, the brand narrative can come through less clearly.
Next step
Make sure there’s a clearly labeled brand context page that’s easy to find directly from the homepage.
❌ No Wikidata entity was found for the brand
What we saw
A Wikidata entity wasn’t present for the brand in the provided data.
Why this matters for AI SEO
Wikidata is one of the clearer third-party identity references AI systems can use to confirm “who is who.” Without it, entity-level understanding can be harder to lock in.
Next step
Establish and validate a Wikidata entity for the brand so AI systems have a consistent reference point.
Performance
❌ Main homepage content took too long to load
What we saw
The homepage’s largest on-screen content element loaded just over the cutoff used in this evaluation, indicating a slower initial experience.
Why this matters for AI SEO
Slower load experiences can reduce how reliably content is consumed, especially on mobile connections. Over time, that can impact how consistently pages are crawled and understood.
Next step
Reduce the time it takes for the homepage’s primary content to appear so the first view loads more quickly.
Reputation
❌ Negative client sentiment couldn’t be validated
What we saw
The data needed to confirm whether negative client assertions are present wasn’t available in a reconciled format, so this check couldn’t be confirmed either way.
Why this matters for AI SEO
Generative engines lean heavily on reputation and sentiment signals to decide whether to recommend a business. When sentiment signals can’t be confirmed, confidence tends to drop.
Next step
Provide a complete, consistent reputation/sentiment dataset so client sentiment can be validated.
❌ Brand recognition and identity consistency weren’t confirmable
What we saw
The reputation/identity packet needed to confirm cross-source brand recognition and consistent identity wasn’t present, so those signals couldn’t be verified.
Why this matters for AI SEO
If a brand’s identity isn’t clearly corroborated across sources, AI systems are more likely to hedge, generalize, or omit details. Consistency helps them “trust the match.”
Next step
Compile and supply the core brand identity references used across the web so identity consistency can be confirmed.
❌ No Wikidata entity was found
What we saw
No matching Wikidata entity was found for the brand.
Why this matters for AI SEO
A recognized entity reference helps generative engines confidently connect the brand name to the right real-world organization. Without that anchor, entity trust can be harder to establish.
Next step
Create and validate a Wikidata entry that clearly represents the brand.
❌ Reviews and review sources weren’t confirmable
What we saw
We weren’t able to confirm the presence of third-party reviews or clearly attributable review sources from the data provided.
Why this matters for AI SEO
Third-party reviews are one of the most legible trust signals for AI systems because they provide independent validation. If reviews aren’t confirmable, recommendations tend to be more cautious.
Next step
Make sure your third-party review presence can be consistently identified and tied back to the brand.
❌ Social profile consensus couldn’t be confirmed
What we saw
Even though the homepage links out to major social profiles, we couldn’t confirm broader consensus on the brand’s major profiles from the provided data.
Why this matters for AI SEO
Generative engines often look for consistent social identity signals to confirm legitimacy and match a brand to the right accounts. When consensus is missing, it can weaken identity confidence.
Next step
Ensure your key social profiles are consistently referenced and recognizable as official brand properties across the web.
❌ Press coverage signals weren’t confirmable
What we saw
We couldn’t confirm independent press coverage or owned press coverage signals based on the available reputation data.
Why this matters for AI SEO
Press and credible mentions can help AI systems triangulate what a business is known for. When those signals aren’t present or verifiable, the brand can appear less established.
Next step
Collect and validate any press or mention sources that should be associated with the brand.
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, non-generic author was found
What we saw
We didn’t see a visible author name or an author signal that clearly ties the content to a specific person.
Why this matters for AI SEO
AI systems tend to trust content more when they can attribute it to an accountable source. Missing author attribution can make it harder for the content to be treated as authoritative.
Next step
Add a clear author byline and an author profile that can be consistently associated with the content.
❌ One section was too long for easy AI parsing
What we saw
Although the content is divided into sections, the FAQ block was significantly longer than the recommended size used in this evaluation.
Why this matters for AI SEO
Generative engines often do best when information is broken into smaller, self-contained chunks they can quote or summarize cleanly. Overly long sections can make key points harder to extract.
Next step
Break the longer FAQ block into smaller, clearly separated sections so each one answers a tighter set of questions.
❌ No table-based structure was found
What we saw
We didn’t find any table-style formatting being used to present structured information.
Why this matters for AI SEO
When details are presented in structured formats, AI systems can more reliably interpret and reuse them (especially for comparisons and quick answers). Without that structure, information can be harder to lift accurately.
Next step
Where it makes sense, present key details in a structured format that’s easy to interpret at a glance.
❌ Subheadings didn’t carry enough context
What we saw
Most subheadings were short labels that didn’t add much descriptive meaning beyond the topic name.
Why this matters for AI SEO
Generative engines use headings to understand what each section is really offering. If headings are too generic, the content can read like a list of topics rather than clear, answerable sections.
Next step
Rewrite section headings so they’re more descriptive and make the value of each section obvious on its own.
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.
