Full GEO Report for https://madsencpa.com

Detailed Report:

GEO Assessment — madsencpa.com

(Score: 70%) — 05/10/26


Overview:

On 05/10/26 madsencpa.com scored 70% — **Decent** – Overall, most of the fundamentals look solid, with a few clear gaps that make the brand and content a little harder for AI systems to confidently interpret.

Website Screenshot

Executive summary

Most of the issues showed up around content packaging for AI, incomplete structured data coverage for resource pages, and brand/entity signals that aren’t fully confirmed across the wider web. Overall, the gaps are spread across a few different areas rather than concentrated in one spot, so the picture is mixed but not fundamentally limited.

Score Breakdown (High Level)

  • Discoverability: 100% - The site is generally in excellent shape for discovery and crawling, though it is currently missing an image or video sitemap to help with visual content indexing.
  • Structured Data: 58% - The homepage has a really solid structured data setup with clear organization and local business details, though we weren't able to verify the same level of detail for blog or resource content.
  • AI Readiness: 67% - The site has a strong technical foundation for AI accessibility and clear brand context, though it lacks a verified Wikidata presence.
  • Performance: 67% - Mobile performance for the homepage is solid, with layout stability and responsiveness landing well within the healthy range.
  • Reputation: 81% - The brand maintains a strong reputation with verified social profiles and positive review signals, though its off-site identity anchors like Wikidata are currently missing.
  • LLM-Ready Content: 56% - The site establishes strong authority through clear authorship and recent updates, though the content structure would benefit from longer, more detailed paragraphs at the start of each section.

The main takeaway before the breakdown

The big picture is that the site comes through as generally strong, but a few missing signals make it harder for AI systems to fully connect the dots across content and brand identity. These aren’t “errors” so much as clarity and confirmation gaps, especially where outside sources and resource-level content details come into play. Next, we’ll walk through the specific areas where the evaluation couldn’t find what it needed, organized by section. Once you see them laid out, it should feel straightforward to prioritize what matters most.

Detailed Report

Discoverability

❌ Image or video sitemap not found

What we saw

We didn’t find an image sitemap or a video sitemap included in the sitemap data that was reviewed. This means visual content may not be as clearly surfaced or organized for discovery.

Why this matters for AI SEO

When AI systems and search engines can’t easily map out visual assets, they have less context to pull from when summarizing your brand or selecting rich results. Clear visibility into images and videos can also improve how confidently systems connect visual content to your key topics.

Next step

Add an image sitemap and/or video sitemap (where relevant) so crawlers have a clearer index of your visual content.

Structured Data

❌ Resource/blog page schema couldn’t be verified

What we saw

A specific resource or blog page wasn’t included in the materials reviewed, so we couldn’t confirm whether those pages include the same structured clarity as the homepage. As a result, this part of the site’s content layer wasn’t verifiable in this run.

Why this matters for AI SEO

If resource pages aren’t clearly described in a consistent, machine-readable way, AI systems can struggle to categorize and reuse that content accurately. This can reduce how often your articles show up as trusted supporting sources in generative answers.

Next step

Provide a representative resource/blog URL for review and ensure the structured information on those pages is present and consistent.

❌ Resource/blog author clarity couldn’t be verified

What we saw

Because a resource/blog page wasn’t provided, we couldn’t confirm whether posts have a clearly named, non-generic author attached. This leaves a key piece of accountability on content pages unconfirmed.

Why this matters for AI SEO

AI systems tend to trust content more when authorship is clear and attributable to a real person, especially in topics where expertise matters. When author details are missing or unclear, the content can be harder to cite and summarize with confidence.

Next step

Share a resource/blog post URL for evaluation so authorship and attribution can be validated.

❌ Author “sameAs” links couldn’t be verified on resource/blog content

What we saw

A resource/blog page wasn’t available in the review packet, so we couldn’t check whether author profiles connect out to consistent identity references. That makes it hard to confirm how well author identity is supported beyond the site.

Why this matters for AI SEO

When authors are connected to consistent external identity signals, AI systems have an easier time resolving “who said this” and trusting it. Without those connections, author entity understanding can be weaker or fragmented.

Next step

Include a sample blog/resource post in the next review so author identity connections can be assessed.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We didn’t see a Wikidata entity associated with the brand in the data reviewed. That leaves one of the most widely referenced public identity records missing.

Why this matters for AI SEO

Wikidata can act like a durable “source of truth” that helps AI systems confirm brand identity details. When it’s missing, models may rely more heavily on inconsistent third-party listings or partial mentions.

Next step

Create (or claim and complete) a Wikidata entry for the brand so AI systems have a stronger identity anchor.

Reputation

❌ Brand identity appears inconsistent across sources

What we saw

External sources referenced conflicting physical addresses (including locations in Colorado, California, and Michigan), while the site identifies the business as Utah-based. We also saw mention of slightly different legal names across sources.

Why this matters for AI SEO

When brand details don’t line up across the web, AI systems can hesitate to unify everything under one “known entity.” That can limit confidence in summaries, map-like answers, and any response that depends on verified business identity.

Next step

Audit the brand’s primary listings and identity references to align name and address details with what’s presented on the website.

❌ No matching Wikidata entity confirmed

What we saw

No matching Wikidata entity was found for the brand in the packet used for evaluation. This leaves a common entity verification source unconfirmed.

Why this matters for AI SEO

Without a confirmed entity record, AI systems may be more prone to pulling incomplete or mixed identity details from other sources. That can create softer trust around “who” the brand is, even when the site content itself is strong.

Next step

Establish a Wikidata entity that clearly matches the brand name and official business identity.

❌ Official identity anchors couldn’t be confirmed via Wikidata

What we saw

Because a Wikidata entity wasn’t found, we couldn’t detect any official identity anchors tied to it. In other words, there wasn’t a central entity record we could use to confirm key identifiers.

Why this matters for AI SEO

Official identity anchors help AI systems resolve brand identity consistently, especially when other sources disagree. When they’re missing, it’s easier for models to treat references as separate or ambiguous entities.

Next step

Add official identity anchors to the brand’s Wikidata entity once it exists and is correctly matched.

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: Appears to be aimed at S-Corporation business owners and real estate investors earning around $150,000+ who want proactive, year-round tax strategy rather than basic filing.

❌ No non-social outbound link in the body

What we saw

We didn’t find outbound links in the main content pointing to external educational or authoritative sources. The only outbound links detected were to social profiles.

Why this matters for AI SEO

AI systems tend to interpret well-cited content as more grounded and easier to trust, especially for informational topics. Without external references, the page can read as more self-contained and may be harder to validate.

Next step

Add at least one relevant, non-social external reference link within the main body content.

❌ Sections are too short for strong “chunking”

What we saw

The page is broken into multiple sections, but the average section length is brief. As a result, many sections may not carry enough standalone context.

Why this matters for AI SEO

AI systems often process content in chunks, and thin sections can lose meaning when separated from surrounding context. That can reduce the odds of a specific section being pulled cleanly into an answer.

Next step

Expand individual sections so each one contains enough self-contained context to stand on its own.

❌ No HTML table detected

What we saw

No table was found in the page structure. This suggests there isn’t a scannable, structured summary format included in the content.

Why this matters for AI SEO

Tables can help AI systems extract and compare key details quickly, especially for definitions, thresholds, timelines, or side-by-side options. Without that structure, important specifics may be harder to lift accurately.

Next step

Add a simple table where it naturally fits to summarize key points in a structured format.

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

What we saw

Many sections don’t begin with a substantial opening paragraph that quickly explains the main point. The early part of sections often doesn’t provide enough immediate context.

Why this matters for AI SEO

Generative systems often prioritize content that answers the question quickly and clearly near the top of a section. When the lead-in is light, the system may skip over the section or extract a less complete answer.

Next step

Rewrite section openers so the main takeaway is stated clearly at the start of each 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.

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