Overview:
On 05/23/26 kensisson.com scored 71% — **Good** – Overall, the site shows a strong foundation for AI visibility, with a few clear gaps around credibility signals and user experience that limit how confidently it comes through.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site is in great shape for discovery, though adding an image-specific sitemap would help search engines better index all those property listings.
- Structured Data: 100% - Overall, this section is in excellent shape, featuring well-implemented schema and clear, verified authorship.
- AI Readiness: 67% - The site's technical foundation is solid with healthy sitemaps and clear brand pages, though it lacks a formal Wikidata presence to anchor its identity for AI.
- Performance: 56% - Mobile performance is a mixed bag, showing great layout stability but running into major bottlenecks with slow loading times for large content elements.
- Reputation: 35% - The brand lacks broad recognition across AI models and verified offsite anchors like Wikidata or press mentions, though it does maintain clear social media connections.
- LLM-Ready Content: 96% - Overall, this section looks to be in excellent shape, with clear authorship, recent updates, and a structure that makes the key information highly accessible.
The big picture on visibility
What stands out most is that the on-site fundamentals look strong, but a handful of missing credibility signals and some real-world usability slowdowns make it harder for AI systems to confidently represent the brand. These aren’t “mistakes” so much as clarity and verification gaps that can blur who you are and how trustworthy your information appears. Next, we’ll walk through the specific areas that didn’t show up clearly in the evaluation, organized by section. Overall, this is a manageable set of issues—and the breakdown below makes it very clear where the friction is coming from.
Detailed Report
Discoverability
❌ Image/video discovery support missing
What we saw
We didn’t find an image or video-specific discovery file, even though the site appears to rely heavily on property visuals.
Why this matters for AI SEO
When rich media isn’t clearly surfaced, AI systems can miss or underuse those assets when summarizing listings, neighborhoods, or brand presence.
Next step
Add a dedicated way for crawlers to consistently find and understand your image and video assets.
AI Readiness
❌ No verified Wikidata entity found
What we saw
We didn’t find a Wikidata entity connected to the brand.
Why this matters for AI SEO
Without a widely recognized identity reference, AI engines have a harder time confirming “who you are,” which can reduce confidence when they generate answers about the brand.
Next step
Establish a clear, verifiable Wikidata presence that matches the brand identity.
Performance
❌ Main content loads slowly on the homepage
What we saw
The homepage showed heavy delays before the primary content fully appeared.
Why this matters for AI SEO
If key content takes a long time to become available, crawlers and AI systems may capture an incomplete picture of the page or prioritize other sources that are easier to consume.
Next step
Reduce the time it takes for the homepage’s main content to become available.
❌ Resource page responsiveness issues
What we saw
The resource page struggled with responsiveness, suggesting visitors may experience delays during interactions.
Why this matters for AI SEO
When pages feel sluggish, it can limit engagement and make it harder for AI systems to reliably extract and reuse the content at scale.
Next step
Improve how quickly the resource page responds during loading and interaction.
❌ Main content loads very slowly on the resource page
What we saw
The resource page showed very long delays before the primary content fully appeared.
Why this matters for AI SEO
If the core content isn’t available quickly, AI systems are more likely to miss important context, reduce confidence in the page, or choose other sources.
Next step
Speed up how quickly the resource page’s main content becomes visible and usable.
❌ Overall resource page performance came in low
What we saw
The resource page’s overall performance result did not meet the expected baseline for a smooth experience.
Why this matters for AI SEO
When a page is consistently hard to load or use, it can reduce how often it’s surfaced and relied on as a “good source” for AI-generated answers.
Next step
Bring the resource page’s overall experience in line with a fast, reliable standard.
Reputation
❌ Limited recognition across AI models
What we saw
The brand was not consistently recognized across multiple AI models, and one recognition appeared to point to a different person rather than the real estate brand.
Why this matters for AI SEO
Inconsistent recognition makes it harder for AI systems to confidently connect your name to the right entity, services, and location.
Next step
Strengthen the brand’s consistent footprint so AI systems can reliably identify the correct entity.
❌ Brand identity details weren’t consistent
What we saw
A consistent physical address could not be identified or confirmed across the research inputs.
Why this matters for AI SEO
When identity details don’t line up clearly, AI systems tend to be more cautious about presenting the brand as a trusted, verifiable business.
Next step
Make sure your core identity details (especially location) are consistently represented across the places AI systems reference.
❌ No matching Wikidata entry for the brand
What we saw
We didn’t find a Wikidata entity that matches the brand.
Why this matters for AI SEO
A missing public entity record reduces the strength of third-party validation signals AI engines often rely on for identity confirmation.
Next step
Create or connect a Wikidata entity that clearly matches the brand.
❌ No official identity anchors available
What we saw
Because there wasn’t a Wikidata entity, there also weren’t official identity anchors available there.
Why this matters for AI SEO
Without strong “source-of-truth” references, AI systems have fewer reliable ways to verify which profiles and details are official.
Next step
Ensure the brand has an authoritative identity reference that includes clear official anchors.
❌ Third-party reviews weren’t confirmed
What we saw
The research results did not reach consensus on the existence of third-party reviews or customer feedback for the brand.
Why this matters for AI SEO
Independent feedback is a common trust signal, and when it’s not clearly found, AI responses may lean more generic or cautious.
Next step
Build a clearer, verifiable trail of third-party customer feedback that AI systems can reference.
❌ Review sources weren’t concrete
What we saw
No concrete, verified review sources were confirmed by consensus.
Why this matters for AI SEO
Even if feedback exists, AI systems need clear, attributable sources to treat it as reliable context.
Next step
Make sure reviews are hosted on clear, well-known sources that are easy to verify.
❌ No consensus on official social profiles
What we saw
The AI models did not reach a consensus on the brand’s official social media profiles.
Why this matters for AI SEO
When “official” profiles aren’t obvious, AI systems can hesitate to cite or connect them, which weakens brand confidence and entity clarity.
Next step
Clarify which social profiles are official in ways that are consistent and easy to corroborate.
❌ Independent press coverage wasn’t confirmed
What we saw
Independent offsite press or coverage was not confirmed by consensus.
Why this matters for AI SEO
Third-party coverage helps AI systems triangulate legitimacy and relevance beyond your own site.
Next step
Develop a stronger trail of independent mentions that clearly reference the brand.
❌ Onsite press mentions weren’t found
What we saw
Owned press mentions or press releases were not confirmed by consensus.
Why this matters for AI SEO
A clear place where the brand documents updates and notable announcements can help AI systems understand legitimacy and timeline.
Next step
Publish a clear, brand-owned place for announcements that AI systems can recognize and reference.
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 table-based comparison found
What we saw
We didn’t find a table used to present information in a structured, easy-to-scan format.
Why this matters for AI SEO
Tables can make comparisons and “at-a-glance” facts clearer for AI systems to extract accurately and reuse in summaries.
Next step
Where it fits the topic, add a simple comparison table to present key facts in a crisp, structured way.
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.
