Overview:
On 06/09/26 douglasaddison.com/ scored 59% — **Fair** – Overall, the site has a solid base for AI visibility, but a few clarity and credibility gaps are holding it back.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site is in great shape for search engine discovery, though adding an image-specific sitemap would give your visual content an extra leg up.
- Structured Data: 58% - The homepage has solid organization schema, but we weren't able to find the structured data or author details needed to boost the visibility of the blog content.
- AI Readiness: 67% - The site has a rock-solid technical foundation with accessible crawling and a detailed sitemap, though it's currently missing a formal Wikidata presence to anchor its brand identity.
- Performance: 17% - The homepage is currently facing some major speed and responsiveness bottlenecks on mobile, though the visual stability of the page layout is actually in good shape.
- Reputation: 73% - The brand has a solid foundation with social links and reviews, though the lack of a Wikidata presence and identity consensus are notable gaps.
- LLM-Ready Content: 52% - The site is strong on transparency with clear author and date info, but the sparse content structure and lack of descriptive headings make it harder for AI to parse and reuse effectively.
The big picture before the details
What stands out most is that the site is generally discoverable and easy to navigate, but some of the supporting signals that help AI feel confident about the brand and its content are inconsistent or missing. A lot of what showed up here is more about clarity and verification than anything being “wrong.” Next, the report breaks down the specific areas where that clarity drops off—across performance, reputation, structured data, and how the blog content is formatted. None of this is unusual, and it’s the kind of gap that’s straightforward to tackle once it’s clearly mapped.
Detailed Report
Discoverability
❌ Image or video sitemap not found
What we saw
Neither an image sitemap nor a video sitemap file was located.
Why this matters for AI SEO
When rich media isn’t clearly listed in a discoverable way, it can be harder for search and AI systems to consistently find and understand those assets across the site.
Next step
Create and publish an image sitemap and/or video sitemap that reflects the media you want discovered.
Structured Data
❌ Structured data on blog/resource page couldn’t be confirmed
What we saw
The blog/resource page file (resource.html.html) wasn’t provided for evaluation, so we couldn’t confirm whether structured data is present there.
Why this matters for AI SEO
If content pages don’t include clear structured signals, AI systems may have a harder time understanding what the page is about and how to categorize it.
Next step
Confirm that your blog/resource templates include structured data and can be validated from a live page.
❌ Blog/resource post author clarity couldn’t be confirmed
What we saw
Because resource.html.html wasn’t provided, we couldn’t verify that the resource/blog post shows a clear, non-generic author.
Why this matters for AI SEO
Clear authorship helps AI systems gauge credibility and connect content to a real person or accountable entity.
Next step
Make sure each resource/blog post publicly displays a specific author name that can be consistently detected.
❌ Author profile links (sameAs) couldn’t be confirmed
What we saw
The resource/blog post file wasn’t provided, so we couldn’t confirm whether the author includes profile links that connect their identity across the web.
Why this matters for AI SEO
When an author’s identity isn’t easy to connect to trusted profiles, AI systems can be less confident about who created the content.
Next step
Ensure the author information for content pages includes consistent profile links that can be picked up reliably.
AI Readiness
❌ No Wikidata entity found for the brand
What we saw
A Wikidata item ID wasn’t present in the provided data, and no Wikidata entity was located for the brand.
Why this matters for AI SEO
Wikidata is one of the common reference points AI systems use to verify and disambiguate brand identity.
Next step
Create or confirm a Wikidata entry for the brand and make sure it clearly matches your official identity.
Performance
❌ Homepage responsiveness was flagged
What we saw
Homepage responsiveness did not meet the evaluation threshold due to elevated blocking time during load.
Why this matters for AI SEO
When pages feel sluggish to load and respond, it can reduce how reliably users (and automated systems) can access and process the main content.
Next step
Reduce the amount of work happening during initial page load so the homepage becomes responsive sooner.
❌ Homepage main content took too long to appear
What we saw
The homepage’s largest visible content element was reported as loading beyond the evaluation threshold.
Why this matters for AI SEO
If the primary content appears late, it can weaken both user experience and how quickly systems can reach the core information on the page.
Next step
Prioritize faster delivery of the homepage’s primary content so it becomes visible earlier in the load.
❌ Overall homepage performance rating was flagged
What we saw
The homepage’s overall performance rating landed below the evaluation threshold.
Why this matters for AI SEO
Performance issues can make it harder for content to be accessed smoothly, which can indirectly limit visibility and engagement.
Next step
Run a targeted homepage performance review to identify the main sources of load and rendering time.
Reputation
❌ Brand identity consistency wasn’t confirmed
What we saw
The report indicates missing consensus and conflict fields related to official name, website domain, and address, so identity consistency couldn’t be affirmed.
Why this matters for AI SEO
When key identity details aren’t consistently confirmed, AI systems can be less confident they’re associating the right brand with the right signals.
Next step
Audit your core brand identity details across major public sources to ensure they align cleanly.
❌ Wikidata entity match wasn’t found
What we saw
A Wikidata entity was not found for the brand in the provided results.
Why this matters for AI SEO
Without a recognized entity record, it’s harder for AI systems to anchor your business to a single, verified identity.
Next step
Establish a Wikidata entity that matches your brand and ties back to your official web presence.
❌ Wikidata identity anchors weren’t present
What we saw
The results show missing fields related to an official website and identifier count, so official identity anchors weren’t detected.
Why this matters for AI SEO
Official anchors (like a confirmed website connection) help AI systems trust that an entity represents the real business.
Next step
Make sure your brand’s entity record includes clear official anchors that point back to your real-world identity.
❌ Consensus on major social profiles wasn’t confirmed
What we saw
A consensus field for social profiles was missing in the results, so cross-source agreement on the main profiles couldn’t be confirmed.
Why this matters for AI SEO
When AI systems can’t confidently match a brand to its primary profiles, it can weaken overall trust and entity recognition.
Next step
Ensure your main social profiles are consistently referenced across the places where your brand is described online.
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
❌ Content sections aren’t consistently easy to parse
What we saw
One section (“Client Testimonials”) was very long, while other sections were quite short, creating an uneven structure across the page.
Why this matters for AI SEO
AI systems tend to understand and reuse content more reliably when it’s broken into consistently sized, self-contained sections.
Next step
Rework the page so each section is a clear, scannable chunk with a more consistent length.
❌ No data table was found
What we saw
No HTML table element was detected on the page.
Why this matters for AI SEO
Tables can make key details easier for AI systems to extract accurately, especially when information is naturally list-like or comparable.
Next step
Add at least one simple table where it genuinely helps summarize or compare key information from the article.
❌ Subheadings don’t clearly set up the next text
What we saw
Most subheadings were very short or didn’t closely match the opening line of the section that followed.
Why this matters for AI SEO
When headings clearly preview what comes next, AI systems can segment and interpret the content with higher confidence.
Next step
Rewrite subheadings so they’re specific and align closely with the first sentence in each section.
❌ Key answers don’t show up early in most sections
What we saw
Most sections began with very short openers or lists instead of a more complete opening paragraph.
Why this matters for AI SEO
Sections that start with a clear, self-contained explanation are easier for AI to summarize and quote without losing context.
Next step
Adjust section intros so they lead with a fuller “answer-first” paragraph 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.
