On 06/22/26 smartersolutions.com/ scored 66% — **Decent** – Overall, the site has a solid baseline for AI visibility, with a few clear gaps around credibility signals and consistency that keep it from feeling fully “verified.”
The main takeaway before details
The big picture is that the site communicates what it is and what it offers pretty well, but it’s missing some of the clearer, third-party signals that help AI systems feel confident about who you are. Most of the gaps aren’t “errors” so much as places where verification and credibility are harder to confirm from what’s visible. The sections below walk through the specific areas where that clarity broke down, so you can see exactly what was missing. None of this is unusual, and it’s all the kind of stuff that’s straightforward to tighten up once you know where it’s showing up.
What we saw
We didn’t find a dedicated sitemap specifically for images or videos during the review. The standard “image-sitemap” and “video-sitemap” locations didn’t appear to be available.
Why this matters for AI SEO
When rich media is easier to discover and categorize, it’s more likely to show up in AI-assisted experiences that lean on visual or multimedia results. If AI systems have less clarity on your media assets, they may underuse them when summarizing or citing your content.
Next step
Add a dedicated image and/or video sitemap so your rich media can be discovered more reliably.
What we saw
The author information included a profile link, but it pointed back to the site’s own domain rather than an external profile. That makes it harder to confirm the author’s identity outside of your website.
Why this matters for AI SEO
AI systems tend to trust authors more when their identity is supported by consistent, third-party references. If author identity can’t be corroborated, content may be treated as less attributable and therefore less cite-worthy.
Next step
Update the author’s profile references so they point to credible external profiles that represent the same person.
What we saw
We didn’t see an associated Wikidata entity for the brand during this run. As a result, there wasn’t a clear public entity record to reference for official identity.
Why this matters for AI SEO
When AI systems can tie a brand to a stable public entity record, it helps them confirm “who’s who” and reduce ambiguity. Without that anchor, identity verification can be weaker or more inconsistent.
Next step
Create or claim a Wikidata entry for the brand and ensure it clearly matches your official identity.
What we saw
The primary page content on the homepage took longer than expected to fully render in a mobile context. In practice, that means users may wait to see the main “above the fold” content.
Why this matters for AI SEO
Slower rendering can reduce how easily crawlers and AI systems process and prioritize key on-page information, especially when they’re trying to extract quick, reliable summaries. It can also weaken overall user experience signals tied to visibility and engagement.
Next step
Improve how quickly the homepage’s main content renders on mobile so the core message is available earlier.
What we saw
The main content on the evaluated resource page also took longer than expected to render on mobile. This can make the article feel “heavy” before readers reach the substance.
Why this matters for AI SEO
AI discovery often benefits from pages where the core content is accessible quickly and consistently. If the page’s primary content loads late, it can limit how effectively systems extract and reuse the most important parts.
Next step
Speed up the resource page’s mobile rendering so the primary article content becomes available sooner.
What we saw
We weren’t able to confirm whether there are any notable negative client claims associated with the brand in the information available for this run. The report packet didn’t provide a clear yes/no signal here.
Why this matters for AI SEO
AI systems are more confident when they can clearly understand whether a brand has consistent positive, neutral, or negative sentiment patterns. When that signal is missing or unclear, the brand may be treated as less verifiable.
Next step
Make sure there are clear, citable sources that establish current customer sentiment around your brand.
What we saw
We weren’t able to confirm whether there are any notable negative employee-related claims tied to the brand from the data available in this run. The results didn’t include a reliable signal either way.
Why this matters for AI SEO
Employment sentiment is part of the broader trust picture AI systems may use when forming an overall view of a company. If that context can’t be verified, the system has less confidence in the brand narrative.
Next step
Ensure credible, third-party sources exist that reflect your employer reputation accurately and consistently.
What we saw
The results didn’t provide evidence that the brand is consistently recognized across multiple AI systems in this run. In other words, brand familiarity wasn’t clearly established in the available signals.
Why this matters for AI SEO
When AI systems “recognize” a brand, they’re typically more confident in referencing it, summarizing it, and associating it with the right category or topic area. If recognition is unclear, visibility can be more volatile.
Next step
Strengthen the signals that consistently associate your brand name with your category, offerings, and identity across the web.
What we saw
We couldn’t confirm a consistent set of core identity details being echoed back reliably (like an agreed-upon official name and other basics). The available results didn’t include a clear consensus.
Why this matters for AI SEO
AI systems are more likely to trust and accurately describe a company when its identity signals are consistent across sources. If identity is ambiguous, it increases the chances of mismatched or incomplete brand descriptions.
Next step
Align the brand’s core identity details across primary offsite references so they’re consistent and easy to corroborate.
What we saw
We weren’t able to confirm a Wikidata record that clearly matches the brand for this run. The results didn’t include match details tying an entity record directly to your identity.
Why this matters for AI SEO
Entity matching helps AI systems avoid confusion between similar names and provides a dependable reference point for official facts. Without a confirmed match, it’s harder for AI to “lock in” on the right brand.
Next step
Ensure your brand has a clearly matching public entity reference that AI systems can associate with your official identity.
What we saw
We didn’t see confirmation that the brand’s official identity anchors (like an official website reference within a public entity record) were present in the available results. That leaves “official source of truth” signals less clear.
Why this matters for AI SEO
AI systems tend to rely on official anchors to resolve ambiguity and validate facts. When those anchors aren’t clearly established, AI may be more cautious about citing or summarizing brand information.
Next step
Make sure your brand has a clear, public identity record that includes official anchors pointing back to your site and primary profiles.
What we saw
We couldn’t find clear third-party review or customer feedback signals tied to the brand in the available results for this run. That made it hard to validate customer sentiment from independent sources.
Why this matters for AI SEO
Independent feedback is a common trust cue for AI systems when deciding whether to treat a brand as established and reputable. If review signals aren’t visible, AI has less external confirmation to lean on.
Next step
Make sure your brand is represented on credible review sources that AI systems can reference.
What we saw
The results didn’t provide concrete, countable sources for reviews or customer feedback tied to the brand. Even if feedback exists, it wasn’t clearly attributable in the signals reviewed here.
Why this matters for AI SEO
AI systems prefer review information that’s grounded in specific, named sources so it can be trusted and cited. Vague or unlinked review signals are less useful for establishing credibility.
Next step
Ensure customer feedback signals are tied to specific, reputable sources that are easy to reference.
What we saw
We weren’t able to confirm consistent agreement on the brand’s primary social profiles from the available results in this run. That leaves some uncertainty around which profiles are “official.”
Why this matters for AI SEO
Clear, consistent official profiles help AI systems validate brand identity and reduce confusion with similarly named entities. If profile ownership isn’t obvious, AI may be less confident when attributing information to your brand.
Next step
Make sure your official social profiles are consistently referenced across trusted sources so they’re easy to verify.
What we saw
We didn’t see clear evidence of independent press or third-party coverage tied to the brand in the available results for this run. That limits external validation signals.
Why this matters for AI SEO
Independent coverage can act like a credibility shortcut for AI systems, helping confirm that a company is real, relevant, and recognized outside its own site. When it’s missing or not visible, the brand can feel harder to verify.
Next step
Build or surface credible third-party coverage that AI systems can associate with your brand.
What we saw
We didn’t find clear onsite press or press-release style content represented in the available results for this run. That makes it harder to reference company announcements from an official, citable location.
Why this matters for AI SEO
Owned announcements can help AI systems understand what’s new, noteworthy, and official about your business, especially when third-party coverage is limited. Without a clear source, AI has fewer “official updates” to reference.
Next step
Publish and maintain a clearly labeled area for official news, announcements, or press items that can be referenced.
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
What we saw
On the evaluated resource page, we didn’t detect a table-based section for organizing information into rows and columns. The content is well-structured overall, but it doesn’t include that specific format.
Why this matters for AI SEO
Tables can make key details easier for AI systems to extract accurately, especially when readers are looking for comparisons, definitions, or step-by-step breakdowns. Without them, some information may be harder to reuse cleanly in summaries.
Next step
Add a simple table where it naturally fits (like a comparison, checklist, or framework summary) to make key information easier to pull through.
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.