Overview:
On 05/10/26 trakmiles.com scored 58% — **Fair** – Overall, the site has a solid base, but a few missing trust and clarity signals keep it from feeling fully “buttoned up” for AI visibility.
Executive summary
Score Breakdown (High Level)
- Discoverability: 83% - The site is well-optimized for discovery with clear metadata and full crawler access, though it's missing specialized sitemaps for media content.
- Structured Data: 58% - The homepage schema is technically sound and correctly identifies the organization, but we weren't able to verify any authorship or structured data for the blog content.
- AI Readiness: 67% - The site has a strong technical foundation for AI crawlers with a valid sitemap and open robots.txt, but it's currently missing a Wikidata entry to help search engines fully identify the brand.
- Performance: 50% - Mobile performance generally landed in a good spot for responsiveness and stability, but the initial page load for larger content elements was quite slow.
- Reputation: 69% - The site shows strong trust signals through third-party reviews and press coverage, but the lack of social media links on the homepage and conflicting address data are areas for improvement.
- LLM-Ready Content: 32% - The page lacks individual authorship and specific dating, and while it features a helpful comparison table, the content sections are too brief for optimal AI context.
What stands out most overall
The big picture is that a few important credibility and identity signals aren’t coming through consistently, and that can make it harder for AI systems to confidently understand and reference the brand. None of this reads like a “fatal” problem—more like missing or unclear context in the places AI tends to look for validation. The sections below walk through the specific areas where those gaps showed up, including content signals, brand reputation cues, and homepage performance. Once you see them laid out, it should feel pretty straightforward to prioritize what matters most.
Detailed Report
Discoverability
❌ Image/video sitemap not found
What we saw
We didn’t find a dedicated sitemap that helps surface image or video content. That means your media may be less clearly “packaged up” for discovery.
Why this matters for AI SEO
When media assets aren’t clearly discoverable, AI-driven search experiences can miss or underuse them as supporting context. That can reduce how often your brand’s visuals show up alongside relevant answers.
Next step
Add a dedicated image and/or video sitemap so your media content is easier to discover and understand.
Structured Data
❌ Blog/resource page markup couldn’t be verified
What we saw
We didn’t see blog/resource page data available to confirm that those pages include structured information. As a result, we couldn’t validate how individual articles are described.
Why this matters for AI SEO
When article pages aren’t clearly described, AI systems have a harder time extracting consistent “who/what/when” details from your content. That can limit how confidently your content is interpreted and reused.
Next step
Make sure your blog/resource pages are available for review and include clear structured information about each article.
❌ Article author wasn’t confirmed as a specific individual
What we saw
No resource page was provided that allowed us to verify a clear, non-generic individual author for an article. That leaves authorship unclear at the page level.
Why this matters for AI SEO
Clear authorship helps AI systems assess expertise and attribute information to a real person. Without that, your content can read as less grounded and less trustworthy.
Next step
Ensure each article clearly identifies a specific author (a real person) in a way that can be consistently recognized.
❌ Author profile links weren’t found
What we saw
We couldn’t confirm any author-associated external profile links because an author-specific setup wasn’t available to review. This leaves fewer signals tying the author to recognizable profiles.
Why this matters for AI SEO
External profile links help AI systems connect authors to established identities across the web. When those connections are missing, it’s harder for AI to build confidence in “who is speaking.”
Next step
Add consistent external profile links for authors so their identity is easier to verify.
AI Readiness
❌ No Wikidata entity found for the brand
What we saw
We didn’t find a Wikidata entity ID associated with the brand. That leaves one common public reference point missing.
Why this matters for AI SEO
AI systems often rely on well-known public entities to reduce ambiguity about brand identity. Without that anchor, it can be harder for AI to confidently connect mentions back to the same organization.
Next step
Create and/or claim a Wikidata entity for the brand and connect it to the official brand identity.
Performance
❌ Main homepage content loads slowly
What we saw
The homepage’s primary content took over 8 seconds to fully appear. In practice, that can make the page feel slow at the exact moment a visitor (or crawler) is trying to engage.
Why this matters for AI SEO
When key content is slow to appear, it can reduce the consistency of what systems are able to capture and understand from the page. It also weakens the overall user experience signal around the page.
Next step
Improve how quickly the main homepage content becomes visible so the page is easier to access and interpret.
Reputation
❌ Brand identity details appear inconsistent
What we saw
We saw conflicting business address information referenced across sources, with locations pointing to both Florida and India. This creates uncertainty around the brand’s core identity details.
Why this matters for AI SEO
When identity details don’t line up, AI systems may hesitate to merge signals into one clear entity. That can dilute trust and make brand understanding less stable.
Next step
Standardize your core brand identity details across the web so they consistently match.
❌ No Wikidata entity found
What we saw
No matching Wikidata entry was found for the brand. This leaves a common third-party identity reference missing.
Why this matters for AI SEO
A recognized entity helps AI systems validate that brand mentions point to the same organization. Without it, reputation signals can be harder to consolidate.
Next step
Establish a Wikidata entry for the brand so it has a consistent identity anchor.
❌ No Wikidata identity anchors available
What we saw
Because there’s no Wikidata record available, we couldn’t confirm any identity anchors tied to that entity. This reduces the number of clear reference points AI can use.
Why this matters for AI SEO
Identity anchors help generative systems confirm “this is the same brand” across mentions, profiles, and citations. Without them, it’s easier for signals to stay fragmented.
Next step
Add the key identity references to a verified entity record so AI systems can connect the dots more confidently.
❌ Homepage doesn’t link to social profiles
What we saw
We didn’t find links to major social profiles on the homepage. That makes it harder for people (and systems) to quickly verify your active brand presence.
Why this matters for AI SEO
Social profiles can act as corroborating “same brand” signals across the web. When they aren’t easy to confirm from the site, AI systems may have less confidence in identity and legitimacy.
Next step
Add clear homepage links to your official social profiles so they’re 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 clear individual author
What we saw
We didn’t see an individual author name associated with the content. The author signal came across as generic rather than tied to a specific person.
Why this matters for AI SEO
AI systems look for clear attribution to assess expertise and trustworthiness. When authorship is vague, the content is harder to treat as an authoritative reference.
Next step
Add a clear, specific author name for the article so attribution is unambiguous.
❌ No publish or update date shown
What we saw
We didn’t find an explicit publish date or last-updated date for the content. That makes freshness and editorial context unclear.
Why this matters for AI SEO
Dates help AI systems understand timeliness, especially for content that may change as products, policies, or best practices evolve. Without dates, systems may be less confident in citing it.
Next step
Add a clear publish date and/or last-updated date so the content’s timeframe is easy to interpret.
❌ Content freshness couldn’t be confirmed
What we saw
Because no modification date was present, we couldn’t confirm whether the content has been updated recently. The result is a lack of clear recency context.
Why this matters for AI SEO
When freshness is unclear, AI systems may default to safer sources with more obvious maintenance signals. That can reduce how often your page is used for answers.
Next step
Make sure the content includes a visible “last updated” signal when meaningful changes are made.
❌ Sections are too thin for strong context
What we saw
Most sections were very short, averaging around 61 words. This can leave key ideas underexplained from section to section.
Why this matters for AI SEO
AI systems pull meaning from context, definitions, and supporting details. When sections are too brief, there’s less substance to extract and less confidence in the page as a reference.
Next step
Expand section depth so each segment provides enough context to stand on its own.
❌ Key answers don’t show up early in sections
What we saw
Several sections start with very brief introductions that don’t establish context right away. That makes it harder to quickly understand what each section is trying to answer.
Why this matters for AI SEO
AI-driven experiences tend to reward content that gets to the point quickly and clearly. If the initial context is thin, the section is easier to misread or skip.
Next step
Strengthen the opening of each section so the main point is clear immediately.
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.
