Overview:
On 01/29/26 fluid22.com scored 53% — **Fair** – Overall, the site shows a solid baseline for being recognized, but a few clarity and consistency gaps are holding back stronger AI visibility.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site's technical foundation for discovery is excellent, though adding a dedicated image or video sitemap would help round out its visibility.
- Structured Data: 58% - The homepage is in great shape with clear organization and business markup, but we weren't able to confirm any schema or author details for the blog or resource section.
- AI Readiness: 50% - The site's foundation is mostly solid with open access for AI crawlers, but it is held back by missing sitemap timestamps and a lack of Wikidata verification.
- Performance: 50% - Mobile performance is a bit of a mixed bag; the site responds quickly to user input and stays stable, but the initial load time for the main content is significantly slower than it needs to be.
- Reputation: 81% - The brand has a solid reputation with strong social and review signals, though it lacks a Wikidata presence and shows some conflicting address information online.
- LLM-Ready Content: 4% - The page is visually clean but lacks the explicit trust signals—like author attribution, dates, and external citations—that help AI systems verify and prioritize content.
The main takeaway at a glance
The big picture is that the site is showing up and being recognized, but some of the signals that help AI confidently interpret and reuse your content are either missing or inconsistent. A lot of the gaps are less about “something being wrong” and more about missing context around authorship, freshness, and clear content structure. The next section breaks down the specific areas where those gaps showed up, organized by category. None of this is unusual—it’s the kind of cleanup that often separates “present” from “prominent” in generative search.
Detailed Report
Discoverability
❌ Missing image/video sitemap support
What we saw
We didn’t detect dedicated sitemap files for images or videos. That means visual assets may not be surfaced as consistently as the core pages.
Why this matters for AI SEO
Generative engines often pull supporting visuals (and their context) into answers, summaries, and previews. When visual assets are harder to discover, they’re less likely to be understood and reused.
Next step
Create and publish dedicated image and/or video sitemap files and make them available alongside your standard sitemap.
Structured Data
❌ Resource/blog page structured data couldn’t be verified
What we saw
A specific resource/blog page wasn’t available for review, so we couldn’t confirm whether those pages include structured context. As a result, this part of the evaluation came back as missing.
Why this matters for AI SEO
When article and resource pages don’t have clear, consistent context, AI systems have a harder time interpreting what the page is and how it relates to your brand. That can limit how confidently content gets referenced.
Next step
Make sure your resource/blog templates include appropriate structured data so those pages can be understood as clearly as the homepage.
❌ No clear, non-generic author identified on resource/blog content
What we saw
Because no resource/blog post was provided, we couldn’t find a specific author attribution (either on-page or in structured data). This leaves authorship unclear.
Why this matters for AI SEO
Authorship helps AI systems evaluate credibility and decide whether content is trustworthy enough to quote or summarize. If authorship is missing or generic, the content can look less “owned” by real expertise.
Next step
Add clear author attribution to blog/resource pages and reflect that same author information in structured data.
❌ Author profiles missing supporting identity links
What we saw
We weren’t able to confirm any author identity links (like sameAs references) because no author markup was available to review. This makes it harder to connect authors to a real-world footprint.
Why this matters for AI SEO
AI systems tend to trust people and brands more when they can be corroborated across multiple sources. Missing identity links reduces confidence in who created the content.
Next step
Ensure author structured data includes relevant sameAs links to consistent, official profiles.
AI Readiness
❌ Sitemap doesn’t indicate when pages were last updated
What we saw
Your sitemap was found, but it didn’t include last-updated timestamps for the URLs listed. That makes it harder to tell what’s new versus what hasn’t changed.
Why this matters for AI SEO
Generative engines benefit from clear freshness signals when deciding what to re-check and what to prioritize. Without update cues, content can look less current or require extra effort to validate.
Next step
Add last-updated dates to your sitemap entries so recency is easier to understand.
❌ No Wikidata entity found for the brand
What we saw
We didn’t identify a Wikidata item ID tied to the brand. That leaves a major public identity reference point absent.
Why this matters for AI SEO
Wikidata can act like a structured “identity hub” that helps AI systems resolve who you are and connect related references. Without it, identity confidence can be harder to establish.
Next step
Create or claim a Wikidata entity for the brand and ensure it matches your official identity.
Performance
❌ Main content loads noticeably slowly on the homepage
What we saw
The homepage’s primary content took a long time to fully appear during evaluation. This points to a slower initial load experience.
Why this matters for AI SEO
When pages feel slow to load, crawlers and systems that summarize content may retrieve less reliably or deprioritize deeper content extraction. It can also reduce how often key content gets revisited.
Next step
Identify what’s delaying the homepage’s initial render and reduce the time it takes for the main content to appear.
Reputation
❌ Brand identity details appear inconsistent across sources
What we saw
We saw conflicting location information for the brand across different sources. One source identified London, UK, while another identified Orem, Utah.
Why this matters for AI SEO
Generative engines try to reconcile a single, definitive brand profile. Conflicting identity details can reduce confidence and lead to muddier brand understanding in AI-generated answers.
Next step
Audit your public-facing brand listings and references to align your official address/location details everywhere they appear.
❌ No matching Wikidata entity connected to the brand
What we saw
A Wikidata entity matching the brand wasn’t found in the evaluation data. That leaves a key third-party identity reference unconfirmed.
Why this matters for AI SEO
When AI systems can’t map your brand to a stable, structured identity record, they may rely more on inconsistent mentions elsewhere. That can weaken authority and accuracy.
Next step
Establish a Wikidata entity for the brand and connect it clearly to your official site and profiles.
❌ Missing official identity anchors in Wikidata
What we saw
Because no Wikidata entry was found, we couldn’t verify any official identity anchors there (like confirmed links back to your real-world properties). This leaves that validation layer absent.
Why this matters for AI SEO
Identity anchors help AI systems feel confident that they’re referencing the right entity and not a lookalike. Without them, entity resolution gets harder.
Next step
Add official identity anchors to the brand’s Wikidata entity so it cleanly connects to your real, canonical 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 clear author attribution
What we saw
We didn’t find an author name presented as a clear byline, and there wasn’t author information available in structured context either. That makes it hard to tell who the content is coming from.
Why this matters for AI SEO
AI systems look for signals that content is written by a real, accountable expert. Missing authorship can reduce how confidently the content is summarized, quoted, or treated as authoritative.
Next step
Add a clear, specific author byline to the page and make sure it’s consistently represented.
❌ No publication or update date
What we saw
We didn’t see a published date or “last updated” date in the content or supporting page context. Freshness is essentially unknown from the page itself.
Why this matters for AI SEO
Generative engines care a lot about whether information is current, especially for competitive or fast-moving topics. Without a date, content can be treated as less reliable or harder to validate.
Next step
Include a visible publish or updated date so recency is easy to interpret.
❌ Freshness within the last year can’t be confirmed
What we saw
Because no date was available, we couldn’t confirm whether the page has been updated recently. This leaves the content’s timeline ambiguous.
Why this matters for AI SEO
When recency can’t be established, AI systems may be more cautious about leaning on the content for definitive answers. That can reduce visibility for queries where “up-to-date” matters.
Next step
Add an update signal (and keep it accurate) so recency can be confirmed.
❌ No non-social outbound references
What we saw
Outbound links were limited to social or review platforms, and we didn’t find external links to substantive third-party resources. That leaves the page a bit self-contained.
Why this matters for AI SEO
Referencing credible external sources can help AI systems understand what your content is grounded in and how it connects to the broader topic space. Without that connectivity, the content may read as lighter-weight.
Next step
Add a few relevant outbound references to credible third-party resources where it naturally supports the content.
❌ Sections are too thin for easy extraction
What we saw
The page content was broken into sections, but the sections were very short on average. The result is a lot of marketing-style fragments without enough depth.
Why this matters for AI SEO
AI systems extract meaning best when each section carries enough context to stand on its own. Thin sections make it harder to pull clean summaries or assemble high-confidence answers.
Next step
Expand key sections so each one contains enough detail to clearly explain a single idea.
❌ No table-based content found
What we saw
We didn’t find any table formatting used to present structured information. That’s one less way for the page to communicate clear, scannable facts.
Why this matters for AI SEO
Tables can make relationships, comparisons, and definitions easier for AI to interpret quickly and reuse accurately. Without them, key details may be harder to extract cleanly.
Next step
Where it makes sense, present key comparisons or structured facts in a simple table format.
❌ Subheadings aren’t descriptive enough
What we saw
Many subheadings read more like short slogans than labels that preview what the next block explains. That weakens the page’s “map” for both readers and machines.
Why this matters for AI SEO
Clear subheadings help AI systems segment content and match the right section to the right question. When headings are vague, the model has to guess what each section is about.
Next step
Rewrite subheadings so they plainly describe what the following section covers.
❌ Key takeaways don’t appear early in sections
What we saw
A number of sections don’t start with a substantial introductory paragraph that states the main point. The “what this section is saying” is often delayed or implied.
Why this matters for AI SEO
Generative engines tend to grab the clearest statement of a section’s meaning early on. If the key idea isn’t stated up front, the section is easier to misinterpret or skip.
Next step
Adjust section openings so the first paragraph quickly and clearly states the main takeaway.
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.
