Overview:
On 01/13/26 creejonesconsulting.com/ scored 38% — **Weak** – Overall, the results suggest some basics are in place, but a few important visibility and credibility signals aren’t showing up consistently yet.
Executive summary
Score Breakdown (High Level)
- Discoverability: 92% - Most of the core discovery signals are in place, but we didn’t see an image or video sitemap in the data reviewed.
- Structured Data: 58% - The homepage has solid schema coverage, but the resource/blog page is missing both schema markup and author information.
- AI Readiness: 50% - AI and LLM crawlers are blocked, there’s an XML sitemap but we couldn’t confirm lastmod data, and the brand isn’t listed on Wikidata.
- Performance: 67% - Most homepage metrics were in decent shape, but the mobile Largest Contentful Paint was much too high and slowed things down.
- Reputation: 12% - We didn't see third-party reviews, Wikidata presence, social profile links, or consistent brand identity, which leaves some real gaps for reputation in this section.
- LLM-Ready Content: 0% - We didn’t see any of the core LLM-ready content signals—like schema, author, dates, headings, or outbound links—on this resource.
The main gaps holding visibility back
The big picture is that your core site foundation shows up in a few places, but the supporting context around content, authorship, and brand trust isn’t coming through consistently. Most of what’s missing isn’t “wrong” so much as it leaves AI systems with less clarity about what to trust, cite, and connect back to your brand. Below, we’ve broken down the specific areas that didn’t show up in the evaluation so you can see exactly what’s being missed. None of these are unusual—this is a common set of gaps for smaller or service-led sites, and they’re generally straightforward to address over time.
Detailed Report
❌ No image or video sitemap was found
What we saw
We weren’t able to find an image sitemap or a video sitemap for the site. This suggests your richer media assets may not be as clearly surfaced alongside your core pages.
Why this matters for AI SEO
Generative engines rely on clear, dependable pathways to discover and understand what a site contains beyond just text. When visual assets are harder to discover, they’re less likely to be pulled into AI-driven answers and overviews.
Next step
Add a dedicated way for search systems to discover your key image and video assets alongside your main site pages.
❌ Major AI and LLM crawlers appear to be blocked
What we saw
The site appears to explicitly block several AI/LLM crawlers (including GPTBot, Google-Extended, and CCBot). That can reduce how much of your site those systems are able to access.
Why this matters for AI SEO
If leading generative systems can’t crawl your content, they have less to work with when deciding whether (and how) to reference your brand. That can limit visibility in AI-driven experiences.
Next step
Decide which AI crawlers you want to allow to access your site and align your crawler access settings accordingly.
❌ Sitemap update dates weren’t confirmed
What we saw
We couldn’t confirm that your sitemap includes page update dates. That means freshness signals may not be as clear as they could be.
Why this matters for AI SEO
Generative engines benefit from understanding what’s current versus outdated when summarizing or citing sources. When update signals aren’t clear, content can be harder to evaluate and trust.
Next step
Make sure your sitemap clearly indicates when important pages were last updated.
❌ No Wikidata entity was found for the brand
What we saw
We didn’t find a Wikidata entity tied to the brand. This can leave a gap in how the brand is represented across knowledge-based systems.
Why this matters for AI SEO
Generative engines often lean on well-known identity sources to reduce ambiguity about a brand. Without a clear entity reference, brand understanding can be less consistent.
Next step
Create or confirm a single, accurate Wikidata entity that represents your brand.
❌ Structured data was not found on the resource/blog page
What we saw
We didn’t see structured data on the resource/blog page, and the resource page content appeared to be missing or empty in the evaluation inputs. As a result, key page-level context didn’t show up there the way it does on the homepage.
Why this matters for AI SEO
When resource pages don’t provide clear, machine-readable context, generative systems may struggle to interpret what the page is about and when to cite it. That can reduce how often those pages are used as source material.
Next step
Ensure your resource/blog pages include the same kind of clear page context that your homepage already provides.
❌ Resource/blog author information wasn’t clearly identified
What we saw
We didn’t find a clear, non-generic author associated with the resource/blog page. This makes it harder to connect content to a real person or responsible source.
Why this matters for AI SEO
AI-driven search tends to weigh content more confidently when it can attribute it to a specific, credible author. Missing author clarity can weaken trust and usefulness signals.
Next step
Add a clear author name to resource/blog content so it’s consistently attributable.
❌ Author profile references weren’t present
What we saw
We didn’t see supporting references connected to the author profile (for example, consistent external identity links). That leaves the author harder to validate and connect across the web.
Why this matters for AI SEO
Generative engines are more confident when an author’s identity is easy to corroborate. Without those connections, author signals can be weaker or inconsistent.
Next step
Link the author to consistent, public identity profiles so their presence is easier to confirm.
❌ The resource page didn’t show LLM-ready page structure signals
What we saw
On the resource page, we didn’t see the structural and formatting cues that help content read like a clear, usable reference (including sections and subheadings). Several checks couldn’t be completed because the page didn’t appear to include those elements.
Why this matters for AI SEO
Generative engines work best with content that’s easy to scan, segment, and quote accurately. When a page lacks clear structure, it’s harder for AI to extract reliable answers.
Next step
Make sure resource content is organized into clear sections that communicate what each part covers.
❌ No publish or update date was found on the resource page
What we saw
We didn’t find a publish date or an updated-on date on the resource page. That makes it unclear how current the content is.
Why this matters for AI SEO
Freshness and timeliness help generative systems decide whether a source is appropriate to cite. Without dates, content can be treated as less dependable for time-sensitive topics.
Next step
Add a clear publish date and/or last updated date to resource content.
❌ Content recency couldn’t be confirmed
What we saw
Because an updated/modified date wasn’t present, we couldn’t confirm whether the resource content has been updated recently. This leaves recency unclear.
Why this matters for AI SEO
Generative engines often prefer sources that look actively maintained. When recency isn’t obvious, content may be less likely to be selected.
Next step
Make content updates visible so it’s clear when key pages are maintained.
❌ No outbound (external) links were found on the resource page
What we saw
We didn’t find any qualifying outbound links from the resource page to external sources. That limits how much the content “grounds” its claims in the broader ecosystem.
Why this matters for AI SEO
AI systems tend to trust content more when it connects to concrete, verifiable references. Without external citations, a page can look more self-contained and harder to validate.
Next step
Include relevant external references where they naturally support the content.
❌ Question-style subheadings weren’t present
What we saw
We didn’t see question-based subheadings on the resource page (and in general, no clear subheading structure was detected). That makes it harder to match content to specific user questions.
Why this matters for AI SEO
Generative engines often map questions to specific passages when creating answers. Without question-aligned structure, content is harder to retrieve and quote precisely.
Next step
Use clear subheadings that mirror the real questions your audience asks.
❌ Descriptive subheadings weren’t present
What we saw
We didn’t find descriptive subheadings that break the content into clearly labeled parts. This reduces scannability and clarity.
Why this matters for AI SEO
Clear labels help AI understand what each section is about and extract the right snippets. Without that structure, the page is harder to interpret reliably.
Next step
Add descriptive section headings so each part of the page has an obvious purpose.
❌ Section sizing and consistency couldn’t be evaluated
What we saw
Because the resource page didn’t show enough section structure, we couldn’t evaluate whether sections are broken into readable, consistent chunks. This suggests the page may not be organized into comparable sections.
Why this matters for AI SEO
Generative engines handle content better when it’s consistently segmented into digestible parts. Inconsistent or missing sectioning can make extraction less accurate.
Next step
Organize resource content into multiple, consistently structured sections.
❌ Key answers didn’t appear early in sections
What we saw
We didn’t see evidence that key answers show up early within clearly defined sections, largely because section headings weren’t present. This can make the main point harder to find quickly.
Why this matters for AI SEO
AI systems often pull concise answers from prominent, easy-to-locate passages. If the “answer” is buried or hard to isolate, the content is less likely to be used.
Next step
Make sure each section leads with the main takeaway before expanding into detail.
❌ No clear target audience/intent signal was found
What we saw
We didn’t find an explicit phrase or signal that clearly states who the resource content is for or what it’s meant to help with. That can make the page feel less specific.
Why this matters for AI SEO
Generative engines aim to match content to user intent. If the audience or purpose isn’t clear, it’s harder to confidently recommend or summarize.
Next step
Add a straightforward statement that clarifies who the page is for and what it covers.
❌ No table element was found on the resource page
What we saw
We didn’t find any table-based formatting on the resource page. While not required, this is a common way to present structured, easy-to-extract information.
Why this matters for AI SEO
Generative systems can more easily interpret content that’s organized into clear, structured formats. When everything is only in paragraphs, extraction can be less precise.
Next step
Where it fits naturally, include structured formatting that makes key information easier to interpret.
❌ The homepage’s main content took too long to appear
What we saw
The homepage’s largest above-the-fold content loaded slowly, which was flagged as a major performance gap. Other core stability and responsiveness signals did not raise red flags in this evaluation.
Why this matters for AI SEO
If the main content takes a long time to appear, both users and automated systems can have a harder time quickly accessing and understanding what the page offers. Over time, that can reduce how reliably the homepage is treated as a strong entry point.
Next step
Improve how quickly the primary homepage content becomes visible to visitors.
❌ Brand recognition across generative systems wasn’t confirmed
What we saw
We couldn’t confirm consistent recognition of the brand across multiple generative systems based on the available results. That leaves your brand presence less established in AI contexts.
Why this matters for AI SEO
When a brand isn’t consistently recognized, it’s less likely to be confidently referenced or recommended in AI-generated responses. Consistency helps reduce ambiguity.
Next step
Strengthen the consistency of how your brand is represented across the web so it’s easier to recognize.
❌ Consistent brand identity details weren’t found
What we saw
We didn’t see consistent, confirmed brand identity details (like a stable official name, website domain, and address) reflected in the available reputation data. That makes it harder to anchor the brand’s “who/what/where” clearly.
Why this matters for AI SEO
Generative engines favor brands that are easy to disambiguate and verify. Missing or inconsistent identity details can reduce confidence in citations.
Next step
Make sure your official brand identity details are consistently presented in the places AI systems commonly reference.
❌ No matching Wikidata entity was confirmed for the brand
What we saw
We didn’t find a Wikidata entry that clearly matches the brand. That leaves a gap in widely used, third-party identity confirmation.
Why this matters for AI SEO
Knowledge-based identity sources help generative systems connect mentions, attributes, and references back to the same entity. Without a match, brand understanding can be fragmented.
Next step
Confirm that an accurate Wikidata entry exists and clearly corresponds to your brand.
❌ Official identity anchors weren’t present in Wikidata
What we saw
We didn’t see evidence of official identity anchors tied to a Wikidata listing (such as an official website reference or other identifiers). This reduces the strength of that identity trail.
Why this matters for AI SEO
AI systems are more confident when a brand has strong, consistent identity anchors across trusted sources. Without them, verification becomes harder.
Next step
Ensure any brand entity listing includes clear, official identity references.
❌ Third-party reviews or customer feedback weren’t found
What we saw
We didn’t find evidence of third-party reviews or customer feedback tied to the brand in the evaluated results. That leaves an important trust signal largely absent.
Why this matters for AI SEO
Generative engines often lean on independent feedback to gauge credibility and real-world presence. Without it, the brand can appear less established.
Next step
Build a stronger footprint of independent customer feedback that’s easy to validate.
❌ Review sources weren’t clearly attributable
What we saw
We couldn’t confirm concrete, attributable sources for reviews in the available results. This makes any reputation signal harder to trust and reference.
Why this matters for AI SEO
AI systems typically prefer claims that can be traced back to specific, reputable sources. Vague or missing sourcing lowers confidence.
Next step
Make sure any review signals are tied to clearly identifiable, third-party sources.
❌ Major social profiles weren’t consistently identified
What we saw
We didn’t see a clear consensus on major social profiles associated with the brand. That can make brand verification and entity linking less consistent.
Why this matters for AI SEO
Social profiles often act as strong corroboration for who a brand is and where it’s active. When they’re unclear, AI systems have fewer reliable anchors.
Next step
Align your public presence so your major social profiles are consistently associated with the brand.
❌ The homepage didn’t link out to major social profiles
What we saw
We didn’t find links from the homepage to major social profile domains. That removes a simple, high-confidence connection point to your official profiles.
Why this matters for AI SEO
Clear connections between your site and official profiles help generative systems validate brand ownership and legitimacy. Without them, the identity graph is weaker.
Next step
Add clear homepage links to your official major social profiles.
❌ Independent (offsite) press or coverage wasn’t found
What we saw
We didn’t see evidence of independent press coverage in the available results. This suggests limited third-party visibility beyond your owned channels.
Why this matters for AI SEO
Generative engines often trust third-party coverage as an external validation signal. Without it, it can be harder to establish authority and legitimacy.
Next step
Increase the amount of verifiable, independent coverage tied to your brand.
❌ Owned press or press-release style mentions weren’t found
What we saw
We didn’t see evidence of onsite press mentions or press-release style coverage in the evaluated results. That limits your ability to present official announcements or credibility cues in a dedicated way.
Why this matters for AI SEO
Generative engines look for clear, well-attributed context about a brand’s milestones and proof points. When this context isn’t present, the brand story can be harder to summarize accurately.
Next step
Create a clear place on your site where official news, announcements, or coverage can be referenced.
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.
