Detailed Report:

Discoverability

❌ Missing image/video discovery support

What we saw

We didn’t find anything in place that helps visual content get picked up and organized on its own. That can make it easier for images or videos to be overlooked compared to your main pages.

Why this matters for AI SEO

Generative engines learn from a wide mix of content types, and visuals can be a meaningful part of how your brand shows up and gets referenced. When visual content isn’t as discoverable, it’s simply less likely to be included in what AI systems pull from.

Next step

Add a dedicated way for your images and/or videos to be surfaced for discovery so they’re easier to find and index.

Structured Data

❌ Content pages missing structured details

What we saw

We weren’t able to confirm that your blog/resource content includes structured information, because the resource/blog page data was missing or empty in the evaluation. As a result, content-level details couldn’t be verified.

Why this matters for AI SEO

When article-level details aren’t clearly defined, AI systems have a harder time understanding who wrote something, what it’s about, and how it should be attributed. That usually limits how confidently content can be reused or cited.

Next step

Make sure your blog/resource pages include clear, machine-readable content details so articles can be understood and attributed consistently.

❌ Author not verifiable on blog/resource content

What we saw

No clear, non-generic author could be identified for your resource/blog content in the data that was available. That leaves authorship ambiguous at the content level.

Why this matters for AI SEO

Authorship is a big part of trust and attribution for generative engines. If a system can’t confidently connect content to a real author, it may treat the information as less grounded.

Next step

Ensure each article clearly identifies a specific author in a way that’s consistent and easy to interpret.

❌ Missing connected identity for authors

What we saw

We couldn’t verify any author identity links that connect an author to known profiles or references, since author details weren’t available for evaluation. This leaves the author’s identity “unanchored.”

Why this matters for AI SEO

Generative engines tend to trust people and brands more when they can connect them to consistent identity signals across the web. Without those connections, the author’s credibility is harder to establish.

Next step

Add author identity references that clearly connect each author to their established profiles.

AI Readiness

❌ No Wikidata entity found for the brand

What we saw

We didn’t detect a Wikidata item ID associated with the brand in the provided data. That makes it harder to confirm a single, canonical “this is who we are” reference.

Why this matters for AI SEO

Knowledge-based systems often lean on widely recognized entity sources to verify identity. When that’s missing, AI engines may have less confidence connecting your site to the right brand entity.

Next step

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

Performance

❌ Slow main content load on the homepage

What we saw

The main visual/content area on the homepage took longer than expected to fully appear. This points to a slow initial experience before visitors (and crawlers) can engage with what matters most.

Why this matters for AI SEO

When key content is slow to show up, it can reduce how reliably pages are processed and understood at scale. Over time, that can limit how often your content gets pulled into AI-driven answers.

Next step

Improve how quickly the homepage’s primary content becomes visible so the page is easier to consume and interpret.

Reputation

❌ Brand identity details feel incomplete

What we saw

A physical address wasn’t present in the brand identity data used for evaluation. That creates a small but noticeable gap in “official” business verification signals.

Why this matters for AI SEO

Generative engines weigh consistency and completeness when they decide whether a brand is well-established. Missing core identity details can make your brand feel harder to validate.

Next step

Add a clear, consistent physical address wherever your official brand identity information is presented.

❌ No Wikidata entity available for reputation validation

What we saw

No Wikidata match was identified for the brand, which also meant there was nothing available to support identity validation through that channel.

Why this matters for AI SEO

Independent identity anchors help AI systems connect the dots across platforms and references. Without that, it’s easier for brand understanding to stay fragmented.

Next step

Establish a Wikidata entity for the brand to strengthen third-party identity confirmation.

❌ No Wikidata identity anchors to reinforce consistency

What we saw

Because a Wikidata entity wasn’t available, we couldn’t verify any supporting identity anchors tied to it. This leaves fewer independent references connecting your brand’s details together.

Why this matters for AI SEO

Identity anchors help AI systems confirm they’re talking about the right organization and not mixing signals with something else. Fewer anchors typically means less confidence in brand-level facts.

Next step

Once a Wikidata entity exists, connect it to consistent identity references so the brand is easier to validate.

❌ Independent press mentions not found

What we saw

We didn’t see evidence of third-party news or journalistic coverage tied to the brand in the evaluation outputs. That leaves your offsite authority footprint a bit thinner than it could be.

Why this matters for AI SEO

Generative engines tend to trust brands more when reputable third parties have referenced them. Without those mentions, AI systems may rely more heavily on self-published signals.

Next step

Build a clearer footprint of third-party coverage so there’s more independent validation of the brand.

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

❌ Author not clearly identified

What we saw

We didn’t see a specific individual author clearly shown for the article. From an AI perspective, that makes it harder to understand who’s behind the information.

Why this matters for AI SEO

Clear authorship helps AI systems assess credibility and attribution. When the author is missing or generic, content can read as less authoritative.

Next step

Add a clearly named author to the page so the content has an identifiable source.

❌ Content isn’t broken into enough readable sections

What we saw

The page is split into only a couple of main sections, and one of them runs long, which makes the piece feel less “scan-friendly.” That structure can be tough for AI systems to parse cleanly.

Why this matters for AI SEO

Generative engines tend to do best when content is organized into smaller, clearly separated chunks they can extract and summarize. When sections are too few or too long, key points can get buried.

Next step

Restructure the article into more distinct sections so each part covers one clear idea.

❌ No table-based summary found

What we saw

We didn’t find a table-style element that summarizes key details. That removes one easy-to-extract format for definitions, comparisons, or step groupings.

Why this matters for AI SEO

Tables can make important information more straightforward for AI systems to interpret and reuse accurately. Without them, systems may have to infer structure from longer paragraphs.

Next step

Include a simple table where it naturally fits to summarize key takeaways or comparisons.

❌ Subheadings don’t consistently match section content

What we saw

Some subheadings didn’t closely align with how the section starts, so the “label” and the content underneath don’t always feel tightly connected. That can make the structure harder to follow quickly.

Why this matters for AI SEO

AI systems often use headings to understand what a section is about before reading the full text. If headings aren’t descriptive enough, the system may misinterpret or underweight the content.

Next step

Tighten subheadings so they clearly preview what the following section actually covers.

❌ Key points don’t show up early enough

What we saw

Some sections don’t lead with a clear, substantial opening that quickly states the main point. That makes the article slower to “get” at a glance.

Why this matters for AI SEO

Generative engines often prioritize content that surfaces answers early and clearly. If the main takeaway is delayed, the content can be harder to extract and summarize accurately.

Next step

Update section openers so the main takeaway is clear right 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.