Full GEO Report for https://www.madsencpa.com

Detailed Report:

GEO Assessment — madsencpa.com

(Score: 66%) — 04/25/26


Overview:

On 04/25/26 madsencpa.com scored 66% — **Decent** – Overall, this site shows up clearly and reads well, but a few consistency and depth signals are still a bit uneven.

Website Screenshot

Executive summary

Across the results, the main issues showed up around brand identity consistency and authority signals, plus a few content-format cues that make information easier for AI systems to verify and summarize. The gaps are spread across multiple areas (reputation, content presentation, and a bit of performance), with a smaller data-coverage gap on resource/blog evaluation.

Score Breakdown (High Level)

  • Discoverability: 100% - The site's technical foundation for discovery is very strong with no blocking issues or metadata gaps, although we didn't see a dedicated image or video sitemap.
  • Structured Data: 58% - The site has a strong foundation with valid organization and personal schema on the homepage, but we weren't able to verify structured data for the blog content.
  • AI Readiness: 67% - The site has a strong technical foundation with accessible sitemaps and open crawler access, though it lacks a Wikidata entry to help AI engines verify its brand identity.
  • Performance: 50% - Mobile performance is generally solid and highly responsive, though the main page content takes a bit longer to fully load than we'd like to see.
  • Reputation: 73% - The brand has a solid reputation and clear social signals, but conflicting location data and a lack of third-party press are currently limiting its authority.
  • LLM-Ready Content: 56% - The page is exceptionally current and well-authored, though its highly summarized structure and lack of external citations may limit its visibility in complex generative search queries.

What stands out most overall

The big picture is that your fundamentals are in place, but a few signals that help AI systems feel confident about “who you are” and “what to trust” are coming through inconsistently. None of this reads like something is wrong; it’s more that a couple areas don’t give AI enough confirmation or context to summarize you cleanly. Below, we’ll walk through the specific sections where those gaps showed up, from brand consistency and authority signals to how the content is formatted for easy extraction. Overall, it’s a manageable set of issues, and the detailed breakdown should make the focus areas feel very clear.

Detailed Report

Discoverability

❌ Missing image/video sitemap

What we saw

We didn’t detect an image sitemap or a video sitemap in the sitemap data that was available.

Why this matters for AI SEO

When visual content is easier to discover and catalog, it’s more likely to be understood and surfaced in AI-driven results that pull in images or videos.

Next step

Add a dedicated image sitemap and/or video sitemap so your visual content is easier to find and interpret.

Structured Data

❌ Resource/blog page structured data couldn’t be evaluated

What we saw

We weren’t able to review structured data on a blog/resource page because the resource page HTML wasn’t provided for evaluation.

Why this matters for AI SEO

If AI systems can’t clearly read and confirm what your resource content is and how it relates to your brand, they’re more likely to treat it as less certain or less attributable.

Next step

Provide an accessible resource/blog page for evaluation and ensure it includes clear structured data.

❌ Blog/resource author clarity couldn’t be evaluated

What we saw

We couldn’t confirm whether the resource/blog post has a clear, non-generic author because the resource page HTML wasn’t provided.

Why this matters for AI SEO

Clear authorship helps AI engines attribute expertise and reduces ambiguity about who is responsible for the content.

Next step

Make sure your resource/blog content includes a clearly identified author that can be reviewed.

❌ Author identity links couldn’t be evaluated

What we saw

We couldn’t verify whether the author information includes identity links ("sameAs" style connections) because the resource page HTML wasn’t provided.

Why this matters for AI SEO

When an author’s identity is easier to corroborate across the web, AI systems can be more confident about attribution and authority.

Next step

Ensure author profiles for resource/blog content include clear identity links that can be validated.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We didn’t find a Wikidata entity ID associated with the brand.

Why this matters for AI SEO

A consistent, recognized entity record can make it easier for generative engines to connect brand details and reduce confusion in summaries.

Next step

Create and verify a Wikidata entry for the brand so it has a clear entity reference point.

Performance

❌ Main mobile homepage content loads slowly

What we saw

On mobile, the homepage’s main visual content took longer than the preferred limit to appear.

Why this matters for AI SEO

When key content appears late, it can reduce how reliably systems capture and interpret the most important on-page context.

Next step

Reduce the time it takes for the homepage’s primary content to fully appear on mobile.

Reputation

❌ Conflicting business address details across AI sources

What we saw

Different AI models reported different business addresses for the brand (North Logan, UT vs. Layton, UT vs. South Jordan, UT).

Why this matters for AI SEO

When core business details conflict, generative engines can hesitate or mix information, which weakens trust and consistency in brand answers.

Next step

Standardize the brand’s address footprint so external sources converge on one consistent location.

❌ No Wikidata entity for the brand

What we saw

No matching Wikidata entry was found for this brand.

Why this matters for AI SEO

Without a widely recognized entity reference, it’s harder for AI systems to anchor brand facts with high confidence.

Next step

Establish a Wikidata entity for the brand to serve as a stable identity reference.

❌ Missing Wikidata identity anchors

What we saw

Because there isn’t a Wikidata entity, there also aren’t official identity anchors in that knowledge base.

Why this matters for AI SEO

Identity anchors help generative engines reconcile “who you are” across sources, which supports more accurate brand summaries.

Next step

Build out a Wikidata presence that includes the key identity anchors associated with the brand.

❌ No confirmed independent press coverage

What we saw

There was no consensus indicating independent, third-party press mentions or coverage for the firm.

Why this matters for AI SEO

Independent coverage can act as a credibility layer that helps AI systems treat brand claims as more verifiable and widely supported.

Next step

Secure and document third-party coverage that independently references the firm.

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

Persona Targeting: This article appears to be aimed at higher-earning business owners (especially S-corporation owners) and real estate investors who want proactive tax strategy, not just basic filing.

❌ No external reference links

What we saw

We didn’t find any non-social outbound links to external reference or educational sources on the page.

Why this matters for AI SEO

External references give AI systems more ways to validate claims, which can improve perceived trustworthiness when content is summarized or cited.

Next step

Add a small set of relevant external reference links that support the key points on the page.

❌ Sections are too short for strong context

What we saw

The content is broken into very short sections, averaging under 100 words, which makes each segment a bit thin on context.

Why this matters for AI SEO

Generative systems often do better when each section carries enough detail to stand on its own, making summaries and extraction more accurate.

Next step

Expand key sections so they contain enough context to be clearly understood in isolation.

❌ No structured tables for extractable facts

What we saw

No HTML tables were detected on the page.

Why this matters for AI SEO

Tables can make key details easier for AI to extract and reuse accurately, especially when readers ask for comparisons or quick breakdowns.

Next step

Include at least one simple table where it naturally helps summarize key information.

❌ Key answers don’t show up early in most sections

What we saw

Most sections start with very short opening lines rather than a fuller summary that quickly explains the takeaway.

Why this matters for AI SEO

When the core answer is clear upfront, AI systems are more likely to pull the right interpretation and represent the content accurately in generated responses.

Next step

Rewrite section openings so the primary takeaway is stated clearly at the start.

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.

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