Overview:
On 10/17/26 mikemaffei.com scored 68% — **Decent** – Overall, the site has a solid baseline for AI visibility, with a handful of credibility and clarity gaps that make it harder for systems to confidently connect the dots.
Executive summary
Score Breakdown (High Level)
- Discoverability: 83% - The site is technically accessible and well-configured for discovery, though it lacks specialized sitemaps for images and video.
- Structured Data: 58% - The homepage uses a very clean and connected schema setup to define the brand, though we weren't able to confirm if that same level of detail carries over to the blog or resource content.
- AI Readiness: 67% - The site's technical foundation is very accessible to AI crawlers and well-organized, though it currently lacks a Wikidata entity for stronger brand recognition.
- Performance: 50% - While the site is responsive and stable once loaded, the initial load time for the main content is significantly slower than it should be.
- Reputation: 69% - The brand has a clean reputation with good third-party validation, but identity signals like a physical address and direct social links on the homepage are currently missing.
- LLM-Ready Content: 80% - The page is well-structured for AI with clear authorship and recent updates, though more descriptive subheadings would better signal content depth to generative engines.
What stands out most overall
The big picture is that the site communicates its offering clearly, but a few key signals that help systems verify identity and extract structured details are still a bit thin. Most of what’s coming up here isn’t about “bad content,” it’s more about how confidently AI can connect your brand to trusted external references and pull out the most important specifics. The next section walks through the exact areas where the evaluation found missing or unclear signals, organized by category. None of this is unusual, and it’s the kind of cleanup that tends to be very straightforward once it’s visible.
Detailed Report
Discoverability
❌ Image or video sitemap missing
What we saw
We didn’t find a dedicated image sitemap or video sitemap for the site. That means visual content may not have a clear, centralized way to get discovered and understood at scale.
Why this matters for AI SEO
Generative engines and search systems rely on consistent discovery signals to find and interpret key assets, especially visuals that support your expertise and credibility. When those assets are harder to discover reliably, they’re less likely to be used or referenced.
Next step
Add a dedicated image and/or video sitemap (as appropriate for your content) so visual assets are easier for crawlers to find and index.
Structured Data
❌ Resource/blog page markup couldn’t be verified
What we saw
A resource or blog page wasn’t provided for evaluation, so we couldn’t confirm whether those deeper pages include structured information that clearly describes what the page is and how it connects to the brand.
Why this matters for AI SEO
When supporting content pages aren’t as clearly defined, AI systems have a harder time interpreting what should be trusted, cited, or summarized from those pages. This can reduce how often those pages show up as supporting evidence for your expertise.
Next step
Provide (or identify) a representative resource/blog URL and ensure those pages include clear structured information describing the content.
❌ Author clarity on resource/blog content couldn’t be verified
What we saw
Because a resource/blog page wasn’t available in the provided evaluation set, we couldn’t confirm that individual posts consistently show a clear, non-generic author.
Why this matters for AI SEO
Authorship is one of the easiest ways for AI systems to connect content back to a real-world expert and build confidence over time. If author information isn’t consistently available on content pages, the site can feel less “anchored” to a credible source.
Next step
Make sure each article/resource page clearly names the author in a consistent way across the site.
❌ Author profile connections (SameAs) couldn’t be verified
What we saw
We couldn’t verify whether author profiles on resource/blog content include consistent external profile connections, since a resource/blog page wasn’t provided.
Why this matters for AI SEO
External profile connections help AI systems validate that an author is a real, consistent entity across the web, not just a name on a page. Without those anchors, it’s harder for systems to confidently attribute expertise.
Next step
Confirm that author information on resource/blog pages includes consistent links to official profiles where appropriate.
AI Readiness
❌ No Wikidata entity detected for the brand
What we saw
We didn’t see a Wikidata item ID associated with the brand in the evaluation data. In other words, there wasn’t a clear Wikidata entity to reference for identity confirmation.
Why this matters for AI SEO
AI systems often look for stable, third-party identity anchors to validate who a brand or person is. When that anchor is missing, it can limit how confidently systems connect mentions, profiles, and content back to one verified entity.
Next step
Establish a clear Wikidata entity for the brand (or confirm one exists) so identity signals are easier to validate.
Performance
❌ Main page content takes too long to appear
What we saw
The page’s primary content was slow to show up for mobile visitors, creating a noticeably delayed initial experience.
Why this matters for AI SEO
When a page is slow to present its main content, crawlers and AI systems may capture less context (or lower-confidence context) during retrieval and summarization. It can also reduce how reliably users reach and engage with the content that signals expertise.
Next step
Improve the time it takes for the primary content to load so both users and systems can access the page’s core information more quickly.
Reputation
❌ Brand identity details aren’t fully consistent
What we saw
We couldn’t confirm a consistent physical address as part of the brand’s identity footprint in the evaluation data. This leaves an important real-world “anchor” unclear.
Why this matters for AI SEO
Identity confidence is a big part of whether AI systems treat a brand as verifiable and stable. When key identity fields are missing, systems have fewer reliable ways to reconcile the brand across sources.
Next step
Make sure the brand’s identity details (including a physical address, where applicable) are consistently available in the places systems commonly reference.
❌ No Wikidata match found for the brand
What we saw
A Wikidata match for the brand wasn’t identified in the evaluation results, which suggests there isn’t a clear entity available (or an obvious match) for verification.
Why this matters for AI SEO
Without a recognized entity match, it’s harder for generative systems to confidently connect your site, brand name, and third-party references into one consistent profile.
Next step
Create or confirm a Wikidata entity that clearly represents the brand so it can be consistently matched.
❌ Wikidata identity anchors weren’t present
What we saw
We didn’t see signs of official identity anchors on Wikidata for the brand (like an official website reference or other identifiers), because no supporting Wikidata entity was found in the results.
Why this matters for AI SEO
Official anchors and identifiers help AI systems confirm that an entity is legitimate and reduce ambiguity with similarly named people or businesses. When they’re missing, entity confidence tends to be weaker.
Next step
Ensure the brand’s Wikidata presence (once established) includes official identity anchors that clearly tie it back to the business.
❌ Homepage doesn’t link out to major social profiles
What we saw
We didn’t find homepage links pointing to major social platforms in the evaluated HTML. That makes it harder to confirm which profiles are “official” for the brand.
Why this matters for AI SEO
Direct, official outbound links are a simple trust cue for AI systems trying to validate identity and cross-reference reputation signals. When they’re missing, systems may rely on less reliable guesses.
Next step
Add clear homepage links to the brand’s official social profiles so identity signals are easier to validate.
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 summary table for key details
What we saw
We didn’t find an HTML table that consolidates key information into a scan-friendly format. Important details may still be present on the page, but they aren’t grouped in a way that’s easy to extract as a clean dataset.
Why this matters for AI SEO
Tables can make core details easier for AI systems to pull out accurately and reuse in summaries or comparisons. Without that structured presentation, the same information can be harder to retrieve consistently.
Next step
Add a simple, human-readable table that summarizes the most important service details people (and systems) look for at a glance.
❌ Subheadings are often too generic
What we saw
Several subheadings read more like labels than descriptive signposts for what the section actually covers. As a result, the heading text doesn’t consistently reinforce the meaning of the content underneath.
Why this matters for AI SEO
Clear, descriptive headings help AI systems understand “what this section is about” quickly and confidently, which supports better extraction and more accurate summarization. Generic headings can weaken that connection and make key info easier to miss.
Next step
Rewrite section headings so they clearly preview the specific answer or topic covered in the section.
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.
