Overview:
On 03/06/26 digitalwavetechnology.com/ scored 66% — **Decent** – Overall, the site has a solid foundation for AI visibility, but a few credibility and clarity gaps are keeping it from showing up as strongly as it could.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - Overall, the site's discoverability is solid, though we didn't see an image or video sitemap to help with media indexing.
- Structured Data: 58% - The site features strong homepage and organization schema, but it is missing individual author attribution and contains an empty markup block on its resource pages.
- AI Readiness: 67% - The site has a strong technical setup for AI crawlers and sitemaps, though it's currently missing a Wikidata entry to help solidify its brand identity.
- Performance: 50% - Mobile performance shows a split between great visual stability and significant interactive delays, especially with homepage responsiveness and resource page load times.
- Reputation: 81% - The brand has a solid reputation with strong press coverage and social signals, though the lack of a Wikidata entry and some address inconsistencies are areas for improvement.
- LLM-Ready Content: 48% - The page is technically current and features strong outbound citations, but it lacks a human author and suffers from overly fragmented content sections that hinder quick information extraction.
The big picture on AI visibility
The main takeaway is that the site has a strong baseline for being found, but a few trust and clarity signals aren’t coming through cleanly. The gaps here aren’t “bad,” they’re mostly places where important context (who wrote something, who the brand is, and what the page is trying to say) is harder for AI systems to confirm quickly. Next, you’ll see a section-by-section breakdown of only the areas that didn’t hold up in the evaluation. Once those are addressed, the rest of what’s already working has a much better chance of carrying your visibility.
Detailed Report
Discoverability
❌ Media sitemap missing
What we saw
We didn’t find an image sitemap or a video sitemap associated with the site. That means your media content has less explicit support for being discovered and understood at scale.
Why this matters for AI SEO
When AI-powered discovery systems pull information from across the web, media content can be a helpful signal for understanding what a brand does and what it offers. If that media is harder to catalog, it can reduce how often it shows up in relevant experiences.
Next step
Add a dedicated image and/or video sitemap so your media content is easier for engines to consistently find and index.
Structured Data
❌ Invalid empty structured data block
What we saw
On a resource page, we detected an empty structured data block (an empty object) rather than a complete, valid block. This can read like a placeholder rather than real information.
Why this matters for AI SEO
AI systems rely on clear, consistent page signals to understand what a page is about and how to classify it. Empty or malformed structured data can create confusion and reduce confidence in the page’s meaning.
Next step
Remove the empty block or replace it with a complete, valid structured data block that matches the page.
❌ No clear individual author on resource content
What we saw
We didn’t see an individual person credited as the author of the resource content (either on-page or in supporting structured data). The content appears to be attributed only to the organization.
Why this matters for AI SEO
Author clarity helps AI systems assess expertise and confidently attribute statements, especially for educational or advisory content. Without a specific author, the content can read as less anchored and harder to verify.
Next step
Add a clearly identified, non-generic author for resource content and ensure the attribution is consistent on the page.
❌ Missing author identity links
What we saw
Because author structured data wasn’t present for the resource page, we couldn’t find any author identity links that connect the author to known profiles.
Why this matters for AI SEO
When AI systems can connect an author to consistent, trusted profile references, it’s easier to build confidence in who created the content. Without those connections, authorship is harder to validate.
Next step
Add author structured data that includes identity links to the author’s official profiles.
AI Readiness
❌ No Wikidata entity found for the brand
What we saw
We didn’t find a Wikidata item associated with the brand. That leaves a gap in how clearly the brand is defined in common entity/knowledge sources.
Why this matters for AI SEO
AI engines often lean on knowledge sources to confirm brand identity and connect facts across the web. Without a recognized entity record, it can be harder for systems to confidently distinguish and attribute your brand.
Next step
Create (or claim, if one exists) a Wikidata entity for the brand and make sure it aligns with your official brand identifiers.
Performance
❌ Homepage responsiveness is slow
What we saw
The homepage took a long time to become responsive on mobile, with blocking time exceeding 6 seconds. This can make the page feel sluggish even if it eventually loads.
Why this matters for AI SEO
Slow, delayed interactivity can reduce real user engagement, which can indirectly limit how often content gets consumed and referenced. It also makes it harder for systems that render pages to reliably extract content quickly.
Next step
Reduce the amount of work happening before the page becomes responsive, especially on mobile.
❌ Resource page responsiveness is slow
What we saw
The resource page also showed delayed responsiveness, with blocking time above the acceptable range. This suggests the experience can feel heavy for users trying to read or navigate.
Why this matters for AI SEO
If key content pages are slow to interact with, people are less likely to stick with them, share them, or cite them. That can limit the overall footprint AI systems draw from.
Next step
Improve how quickly the resource page becomes usable by reducing what blocks the main thread early in the load.
❌ Resource page main content appears late
What we saw
The resource page’s main content took over 14 seconds to fully appear. That’s a long wait for the primary information users came for.
Why this matters for AI SEO
When the core content appears late, it creates friction for users and can complicate content extraction for systems that need to render the page. Either way, it reduces how reliably the content gets consumed.
Next step
Prioritize getting the resource page’s primary content visible earlier in the load.
❌ Resource page overall performance is weak
What we saw
The resource page’s overall performance score landed below an acceptable baseline, aligning with the responsiveness and loading delays observed.
Why this matters for AI SEO
When performance issues stack up on a key content page, it can blunt the reach and usefulness of that page as a reference. AI visibility tends to follow content that’s both accessible and consistently consumable.
Next step
Audit the resource page end-to-end to identify the biggest contributors to slow loading and interactivity.
Reputation
❌ Brand identity information is inconsistent across sources
What we saw
We saw conflicting information about the brand’s physical headquarters address across different sources. Specifically, the location appeared as Toronto, ON in some places and New York, NY in others.
Why this matters for AI SEO
AI systems look for consistency to confirm they’re talking about the right entity. When key identity fields conflict, it can reduce confidence and make it harder to form a clean, unified brand profile.
Next step
Standardize your official headquarters address across your primary web profiles and key third-party listings.
❌ No matching Wikidata entity for the brand
What we saw
We didn’t find a Wikidata entry that matches the brand. As a result, there isn’t a strong, centralized entity reference point to tie the brand’s identity together.
Why this matters for AI SEO
Wikidata is a common entity layer used for knowledge consolidation and verification. Without it, it’s harder for AI systems to quickly confirm core brand facts and relationships.
Next step
Create a Wikidata entity for the brand (or locate and correct an existing one) so it accurately represents your identity.
❌ Missing verified official identity anchors in Wikidata
What we saw
Because no Wikidata entity was found, we also couldn’t verify official identity anchors there (like an official website link or other established identifiers). This leaves the brand without that extra confirmation layer.
Why this matters for AI SEO
Official anchors help AI systems connect “this brand” to “these official places online” with less ambiguity. Without those anchors, systems may rely more heavily on inconsistent third-party references.
Next step
Ensure your Wikidata entity includes official identity anchors that point to your canonical brand properties.
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 named human author credited
What we saw
We didn’t find a specific human author credited for the article, either visibly on the page or in the supporting page information. The attribution appears to point only to the organization.
Why this matters for AI SEO
AI systems tend to trust content more when it’s clearly tied to a real expert with a consistent identity. Without that, the content can be harder to attribute and assess for expertise.
Next step
Add a specific, non-generic author to the article and keep that attribution consistent across the page.
❌ Content is too fragmented into short sections
What we saw
The article is broken into many small sections, with a high density of subheadings and sections that are very short. That makes it harder to find a “complete” answer within any single section.
Why this matters for AI SEO
LLMs do better when they can extract self-contained chunks that fully answer a question. When sections are overly brief, important context gets scattered and the page can be harder to summarize accurately.
Next step
Rework the sectioning so the key sections read as fuller, more self-contained blocks of explanation.
❌ No standard table for comparisons
What we saw
We didn’t find a standard HTML table in the article; any comparisons appear to be presented using styled boxes instead. That can make structured comparisons less obvious to systems parsing the content.
Why this matters for AI SEO
Tables can be an easy, consistent format for AI systems to interpret when extracting comparisons, definitions, or grouped facts. Without them, the same information can be harder to recognize as a structured set.
Next step
Where you’re presenting comparisons or grouped data, include at least one standard table format so the structure is unambiguous.
❌ Key answers don’t show up early in sections
What we saw
Many sections start with very short blurbs or list-like openers rather than a clear, fuller opening paragraph. That means the “answer” often comes later (or stays implied) instead of being stated upfront.
Why this matters for AI SEO
When sections lead with a clear, direct explanation, AI systems can more confidently extract and reuse the content. If the opening is thin, the content is easier to misread or under-summarize.
Next step
Adjust section openings so the first paragraph clearly states the main point before supporting details.
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.
