Overview:
On 01/20/26 charliesoap.com/ scored 61% — **Decent** – overall, the fundamentals are there, but a few visibility and clarity gaps are keeping the site from showing up as strongly as it could in AI-driven results
Executive summary
Score Breakdown (High Level)
- Discoverability: 92% - Overall, the homepage is in good shape for discoverability, but we didn't find an image or video sitemap in the data reviewed.
- Structured Data: 100% - This section looks strong overall, with valid organization and article schema present, a real author named on the blog post, and no critical errors detected.
- AI Readiness: 50% - The site blocks key AI crawlers in its robots.txt, but otherwise has solid GEO basics like a sitemap with update dates and clear brand context links.
- Performance: 0% - We found that both the homepage and blog post had serious mobile performance issues, including slow load times and high layout shifts.
- Reputation: 69% - We found negative employee assertions in the data, but the site otherwise shows strong brand recognition, solid review presence, and clear links to major social profiles.
- LLM-Ready Content: 72% - Most foundational content signals like schema, author, and updated dates were present, but there were gaps with outbound links, section structure, and question-style headings.
Where things stand overall
The big picture is that your core foundation is in place, but some key signals aren’t coming through clearly in a few important areas. A lot of what’s showing up here isn’t “wrong” so much as it is harder for AI systems to access, interpret, or confidently connect back to the brand. The section below walks through the specific items that didn’t show up, along with why each one matters for AI visibility. None of these are unusual gaps—this is a manageable set of clarity and consistency issues to work through.
Detailed Report
❌ AI and LLM crawlers are explicitly blocked
What we saw
We found that several AI-focused crawlers are explicitly disallowed from accessing the site. This means some generative systems may not be able to read or learn from your content directly.
Why this matters for AI SEO
If AI crawlers can’t access your pages, it limits how well generative engines can discover, understand, and cite your site. Over time, this can reduce how often your brand or content shows up in AI answers.
Next step
Decide which AI crawlers you want to allow to access and learn from your public content.
❌ No Wikidata entity was found for the brand
What we saw
We couldn’t find a Wikidata entity associated with the brand. As a result, there isn’t a clear “official” public reference point that some systems can use to confirm brand identity.
Why this matters for AI SEO
Generative engines often rely on widely-referenced sources to validate and connect brand details. When that anchor is missing, the brand may be harder to recognize consistently across different AI experiences.
Next step
Create or claim a consistent public entity reference for the brand that AI systems can associate with your official identity.
❌ The homepage feels slow to become responsive on mobile
What we saw
The homepage showed significant delays before it felt fully interactive on mobile. This can make the experience feel laggy for users trying to scroll, tap, or navigate.
Why this matters for AI SEO
When key pages feel difficult to use, it can weaken overall confidence signals around the site’s quality and reliability. That can indirectly limit how strongly content is surfaced and cited in AI-driven discovery.
Next step
Improve the mobile homepage experience so it becomes responsive quickly and reliably.
❌ The homepage main content takes a long time to fully appear on mobile
What we saw
On mobile, the homepage’s primary content took unusually long to load in a way a user can actually see and engage with. This can create a “blank or incomplete” feel during the initial visit.
Why this matters for AI SEO
Slow-loading primary content can reduce the likelihood that systems view the page as a strong, dependable entry point for the brand. It can also impact how effectively the page is processed during crawling and summarization.
Next step
Make sure the homepage’s main content shows up quickly for mobile visitors.
❌ The homepage layout shifts noticeably while loading on mobile
What we saw
We saw that elements on the homepage move around as the page loads on mobile. This can feel jarring and makes it harder for users to read or click without interruptions.
Why this matters for AI SEO
A visually unstable experience can weaken perceived quality and trust. It also makes it harder for systems to reliably interpret what’s most important on the page.
Next step
Stabilize the mobile homepage layout so content stays in place as it loads.
❌ The homepage has very weak overall mobile performance
What we saw
Overall, the mobile homepage experience came through as unusually slow and unstable. This suggests the page may be harder than it should be for users (and systems) to consume smoothly.
Why this matters for AI SEO
Generative engines tend to favor sources that feel reliable and easy to access. When a key page underperforms, it can hold back how confidently the brand is represented.
Next step
Bring the mobile homepage experience up to a consistently smooth, dependable baseline.
❌ The resource/blog page main content takes a long time to fully appear on mobile
What we saw
The evaluated resource/blog page took a long time for its main content to show up clearly on mobile. That can make the article feel slow to access even if it eventually loads.
Why this matters for AI SEO
If content-heavy pages are slow to load, it can limit how consistently they’re crawled and reused as a reference. That can reduce how often the content is pulled into AI summaries and citations.
Next step
Improve mobile loading so the article’s primary content appears quickly.
❌ The resource/blog page layout shifts noticeably while loading on mobile
What we saw
We saw noticeable visual shifting on the resource/blog page as it loads on mobile. This can disrupt reading and make the content feel less polished.
Why this matters for AI SEO
A stable reading experience supports trust and makes it easier for systems to interpret content structure. Instability can weaken the perceived quality of the page.
Next step
Stabilize the mobile layout of the resource/blog page so content doesn’t jump while loading.
❌ The resource/blog page has weak overall mobile performance
What we saw
Overall performance signals for the resource/blog page on mobile came through as poor. This can make it harder for users to comfortably read and navigate the page.
Why this matters for AI SEO
When informational content is hard to access smoothly, it can reduce how useful it appears as a reference source. That can limit visibility in generative results.
Next step
Strengthen the mobile experience for content pages so they feel consistently fast and stable.
❌ Some employee sentiment signals appear negative
What we saw
We found signals indicating negative employee-related sentiment associated with the brand. This prevented the reputation signals from coming through as fully clean and consistent.
Why this matters for AI SEO
Generative engines often synthesize trust and credibility from broad sentiment signals. Negative patterns can influence how confidently a brand is described or recommended.
Next step
Review the brand’s employee-facing narrative and public perception to ensure it aligns with how you want the company represented.
❌ The brand’s address isn’t consistently recognized
What we saw
The brand’s identity signals didn’t produce a clear, consistent address. This makes the overall brand profile look a bit less anchored.
Why this matters for AI SEO
When key identity details are inconsistent or missing, systems have a harder time confidently tying mentions back to the right organization. That can affect trust and clarity in AI-generated summaries.
Next step
Make sure the brand’s core identity details are consistently represented across the web.
❌ The brand isn’t matched to a confirmed Wikidata entry
What we saw
We didn’t see a confirmed match between the brand and a Wikidata record. That leaves the brand without a widely-recognized reference point for entity verification.
Why this matters for AI SEO
Entity matching helps generative systems reduce ambiguity and connect the right facts to the right brand. Without it, recognition can be weaker or less consistent.
Next step
Establish a clear, confirmable public entity record that aligns with the brand’s official identity.
❌ Wikidata doesn’t show strong official identity anchors
What we saw
We didn’t find strong “official” identity anchors associated with the brand in Wikidata. That can leave the brand profile feeling less verified in ecosystems that rely on that source.
Why this matters for AI SEO
Official anchors make it easier for AI systems to confirm they’re referencing the right organization. Without them, systems may be less confident in consolidating brand information.
Next step
Strengthen the brand’s official identity signals in widely-referenced public knowledge sources.
❌ No image or video sitemap was found
What we saw
We weren’t able to find a dedicated image or video sitemap. While your main sitemap is present, rich media doesn’t appear to have its own discovery layer.
Why this matters for AI SEO
Generative experiences increasingly pull in and reference rich media as supporting context. When media is harder to discover, it may be less likely to show up in AI-driven results.
Next step
Provide clearer discovery signals for your images and videos so they’re easier for engines to pick up.
❌ Author schema is missing external profile links
What we saw
The content includes a named author, but the author entity doesn’t link out to any external profiles. That makes the author identity feel more isolated than it needs to be.
Why this matters for AI SEO
Generative engines look for corroboration and clarity around who created a piece of content. External profile references can help reinforce that the author is a real, consistent entity.
Next step
Connect the author identity to relevant, public-facing profiles that represent the same person.
❌ The article doesn’t include any outbound external links
What we saw
In the evaluated resource/blog post, we didn’t see outbound links to external sources. The links present appear to point back to internal pages.
Why this matters for AI SEO
Outbound references can help generative systems understand what your content is grounded in and how it relates to the broader topic landscape. Without them, the page can feel more self-contained than intended.
Next step
Include at least one relevant external reference where it naturally supports the content.
❌ The article lacks question-style subheadings
What we saw
We didn’t find enough subheadings written as questions. The structure is readable, but it doesn’t mirror the way many users (and AI systems) look for direct Q&A-style extraction.
Why this matters for AI SEO
Question phrasing can make it easier for generative engines to map sections to specific user queries. When that pattern is missing, the content can be harder to slice into direct answers.
Next step
Add a couple of question-style subheadings where they fit the article naturally.
❌ Some subheadings are too generic or product-forward
What we saw
Several subheadings read more like product labels or generic navigation than descriptive content sections. This can make the article’s topical structure less clear at a glance.
Why this matters for AI SEO
Generative engines rely heavily on headings to understand what each section is about. When headings are generic, it’s harder to extract and summarize the right ideas cleanly.
Next step
Rewrite the less-descriptive headings so they clearly communicate the topic of each section.
❌ Section lengths are outside a comfortable reading range
What we saw
Some sections appear very short, and the overall distribution suggests the content is not broken up in a consistent, reader-friendly way. That can make the article feel uneven as you scroll.
Why this matters for AI SEO
More consistent sectioning helps AI systems interpret structure and pull the most relevant part of a page for a given prompt. When sections are uneven, extraction can be less reliable.
Next step
Adjust the article’s sectioning so each segment feels like a complete, scannable unit.
❌ The article’s section structure is inconsistent overall
What we saw
The section sizes vary widely, which makes the page structure feel inconsistent. This can make it harder to quickly identify the “shape” of the content.
Why this matters for AI SEO
Generative engines tend to do better with content that has predictable structure and clear segmentation. Inconsistent structure can reduce clarity when the content is summarized or reassembled.
Next step
Bring the article into a more consistent rhythm so sections feel balanced and easier to interpret.
❌ No table was found in the article
What we saw
We didn’t find a table in the evaluated resource/blog post. The page may still be helpful, but it doesn’t include this extra formatting signal.
Why this matters for AI SEO
Tables can make certain types of information easier for systems to extract and restate accurately. Without one, structured comparisons or quick reference details may be harder to reuse.
Next step
Where it makes sense, include a simple structured comparison or reference section in a table format.
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.
