Overview:
On 06/26/26 tetiil.com/test scored 8% — **Very Poor** – Overall, the results suggest AI systems don’t have enough consistent access or clear signals to understand and trust the site.
Executive summary
Score Breakdown (High Level)
- Discoverability: 25% - The site didn't resolve during our check and we couldn't find any sitemaps, so it's currently missing the most basic signals needed for discovery.
- Structured Data: 0% - We weren't able to find any structured data or schema markup because the site's pages were inaccessible.
- AI Readiness: 17% - The site isn't explicitly blocking AI crawlers, but it's missing key structural elements like a sitemap and brand context pages that help engines understand your content.
- Performance: 0% - We weren't able to find any mobile performance data for the homepage or resource page, which prevented us from confirming if the site is responsive or stable.
- Reputation: 12% - The brand's reputation is currently limited by negative customer feedback and a lack of verified identity markers like social profiles or press coverage.
- LLM-Ready Content: 0% - We couldn't analyze the content because the page failed to load, which prevents LLMs from finding any of the structural markers they need to trust and use the information.
The big picture on AI visibility
What stands out most is that the site wasn’t consistently accessible during the evaluation, which limited how many clear signals could be confirmed across the board. A lot of the gaps read less like “something is wrong” and more like AI systems simply not having enough stable context to work with. Next, the report walks through the specific areas where visibility and trust signals were missing or couldn’t be verified. It’s a lot on paper, but the themes are straightforward once you see them grouped by section.
Detailed Report
Discoverability
❌ Homepage returns a successful HTTP status
What we saw
The site didn’t resolve during the scan, so we couldn’t confirm the homepage was reachable or returning a valid status.
Why this matters for AI SEO
If the homepage can’t be reliably accessed, AI systems and crawlers can’t consistently discover or interpret what your site is about.
Next step
Confirm the homepage consistently resolves and loads successfully in a standard browser and for crawlers.
❌ No noindex directive present on homepage
What we saw
Because the homepage HTML wasn’t available, we couldn’t verify whether the page is sending signals that prevent indexing.
Why this matters for AI SEO
When indexing signals can’t be confirmed, it creates uncertainty around whether AI systems are able to include your pages in results.
Next step
Verify the homepage is not set to discourage indexing.
❌ Core metadata present
What we saw
We couldn’t confirm key page metadata (like a clear title and description) because the homepage HTML was missing during the scan.
Why this matters for AI SEO
Metadata helps AI systems quickly understand what a page is about and how to summarize it accurately.
Next step
Make sure the homepage loads and includes clear, complete page metadata.
❌ Homepage title is not generic
What we saw
The homepage title couldn’t be validated because the title appeared missing or empty in the data we could access.
Why this matters for AI SEO
A clear, specific title is one of the simplest ways for AI to confidently label your brand and page topic.
Next step
Ensure the homepage has a specific, descriptive title that reflects the brand and primary offering.
❌ XML sitemap exists
What we saw
We didn’t find a standard XML sitemap, so there wasn’t a clear “map” of indexable pages available.
Why this matters for AI SEO
Sitemaps help crawlers (and downstream AI systems) find key pages more consistently, especially when discovery is otherwise shaky.
Next step
Publish an XML sitemap that lists the important pages you want discovered.
❌ Image or video sitemap exists
What we saw
No image or video sitemaps were detected in the scan results.
Why this matters for AI SEO
When media isn’t clearly discoverable, it’s harder for AI systems to surface or reference visual/video assets tied to your brand.
Next step
If images or videos are important to your site, publish a sitemap that helps crawlers find that media.
Structured Data
❌ Schema markup present on homepage
What we saw
We couldn’t detect any structured data on the homepage because the homepage HTML was missing or inaccessible.
Why this matters for AI SEO
Structured data gives AI systems clearer, more explicit context about what the site represents and how to interpret key details.
Next step
Make sure the homepage loads reliably and includes structured data that represents the business.
❌ Organization-type schema present on homepage
What we saw
No organization-related structured data was found in the homepage snapshot available to the scan.
Why this matters for AI SEO
Without clear organization context, AI systems have a harder time verifying who is behind the site and connecting it to the right entity.
Next step
Add organization-level structured data that clearly represents the brand behind the website.
❌ Schema markup present on resource / blog page
What we saw
The resource/blog page content was missing or empty in the scan, so no structured data could be confirmed there.
Why this matters for AI SEO
When content pages don’t provide clear signals, AI is less likely to confidently extract, trust, or reuse the information.
Next step
Ensure resource/blog pages are accessible and include structured data that describes the content.
❌ No major schema errors detected
What we saw
There wasn’t any structured data available to evaluate, so this couldn’t be validated.
Why this matters for AI SEO
If structured data is missing entirely, AI engines lose a straightforward way to interpret key details consistently.
Next step
Implement structured data and validate that it’s readable and consistent.
❌ Resource / blog post has a clear, non-generic author
What we saw
Author information couldn’t be confirmed because the resource/blog page content wasn’t accessible in the scan.
Why this matters for AI SEO
Clear authorship helps AI systems evaluate source credibility and attribute content correctly.
Next step
Make sure each resource/blog post clearly shows an author that’s identifiable.
❌ Author schema includes sameAs links
What we saw
Because the resource/blog page HTML was missing, we couldn’t confirm any author structured data or related identity links.
Why this matters for AI SEO
Identity links help AI connect an author to credible profiles, which can reduce ambiguity about who created the content.
Next step
Include author identity references that connect the author to consistent, real-world profiles.
AI Readiness
❌ XML sitemap exists
What we saw
A standard XML sitemap wasn’t found in the scan results.
Why this matters for AI SEO
When AI-related crawlers rely on discovery, a missing sitemap can slow down or limit how completely the site is understood.
Next step
Provide a standard XML sitemap that lists your key pages.
❌ XML sitemap contains lastmod data
What we saw
Since no sitemap was found, we couldn’t confirm any update signals like last-modified dates.
Why this matters for AI SEO
Update signals can help AI systems prioritize fresher pages and better understand when content changes.
Next step
Ensure your sitemap includes page update information where appropriate.
❌ About or brand context page exists
What we saw
Because the homepage HTML wasn’t available, we couldn’t confirm links to core brand context like an About or Team page.
Why this matters for AI SEO
Without clear brand context, it’s harder for AI models to verify who you are and summarize your business accurately.
Next step
Make sure there’s a clear brand context page and that it’s easy to find from the main site experience.
❌ Wikidata entity exists for brand
What we saw
No Wikidata item ID was found for the brand in the evaluation data.
Why this matters for AI SEO
Entity references can help AI systems disambiguate your brand and connect it to consistent identity details.
Next step
Establish a consistent brand entity presence that AI systems can confidently reference.
Performance
❌ Homepage responsiveness data was not available
What we saw
The homepage performance responsiveness data didn’t load, so this portion couldn’t be evaluated.
Why this matters for AI SEO
When key pages can’t be measured or consistently loaded, it can signal instability that makes crawling and content extraction less reliable.
Next step
Confirm the homepage can be reliably tested and loaded in a mobile context.
❌ Homepage load experience data was not available
What we saw
Homepage load data wasn’t available in the results, which prevented a complete evaluation.
Why this matters for AI SEO
If the page experience can’t be consistently observed, AI systems may have a harder time retrieving content predictably.
Next step
Make sure the homepage loads consistently enough for standard audits and crawlers to retrieve content.
❌ Homepage visual stability data was not available
What we saw
Visual stability data for the homepage wasn’t present in the performance results.
Why this matters for AI SEO
Unclear or unstable rendering can complicate content parsing, which can reduce how accurately AI summarizes a page.
Next step
Validate that the homepage renders consistently and can be evaluated end-to-end.
❌ Overall homepage performance data was not available
What we saw
The overall performance snapshot for the homepage came back missing, so the evaluation couldn’t be completed.
Why this matters for AI SEO
Missing performance visibility often lines up with broader accessibility issues that can limit AI discovery and extraction.
Next step
Ensure the homepage is accessible and measurable so performance data can be captured.
Reputation
❌ No affirmed negative client assertions
What we saw
The evaluation surfaced ambiguity in third-party perceptions, with at least one model affirming negative client feedback.
Why this matters for AI SEO
When negative sentiment appears in the broader narrative, AI systems may reflect that uncertainty in summaries and recommendations.
Next step
Review what public narratives are being associated with the brand and where they’re coming from.
❌ Brand recognized by multiple LLMs
What we saw
The brand was only recognized by a limited number of models in the evaluation.
Why this matters for AI SEO
Low recognition can make it harder for AI to confidently answer basic questions about who you are and what you do.
Next step
Strengthen the consistency and availability of brand information across the web.
❌ Brand identity consistent
What we saw
Key identity details like an official business name and physical address weren’t found in the identity data used for evaluation.
Why this matters for AI SEO
When identity details are missing or inconsistent, AI systems have a tougher time verifying the brand behind the site.
Next step
Make sure your official brand identity information is clearly defined and consistent wherever it appears online.
❌ Wikidata entity exists
What we saw
No Wikidata entry was found for the brand in the reputation results.
Why this matters for AI SEO
Entity grounding can help AI systems connect your brand to a stable identity and reduce confusion with similar names.
Next step
Create stronger, verifiable entity signals that AI systems can reference consistently.
❌ Wikidata identity anchors
What we saw
Supporting identity anchors tied to Wikidata weren’t present in the results.
Why this matters for AI SEO
Without identity anchors, AI has fewer reliable ways to confirm it’s talking about the right organization.
Next step
Align your brand identity across trusted sources so it can be anchored more confidently.
❌ Third-party reviews exist
What we saw
The results were mixed on whether third-party reviews exist, with conflicting signals between sources.
Why this matters for AI SEO
When reviews are unclear or inconsistent, AI systems have a harder time forming a stable trust picture for the brand.
Next step
Verify where legitimate third-party reviews for the brand exist and ensure they’re easy to associate with your official identity.
❌ Review sources are concrete
What we saw
The evaluation didn’t surface clear, consistent sources for reviews that could be confidently attributed to the brand.
Why this matters for AI SEO
AI systems tend to rely on well-attributed sources, and fuzzy sourcing can reduce trust in what gets summarized.
Next step
Make sure review sources and brand attribution are unambiguous across the web.
❌ LLM consensus on social profiles
What we saw
The results didn’t show a consistent set of verified social profiles that models agreed on.
Why this matters for AI SEO
When social identity is unclear, AI has fewer confidence signals to validate the brand and its legitimacy.
Next step
Establish a consistent set of official social profiles that can be reliably associated with the brand.
❌ Homepage links to social profiles
What we saw
The homepage couldn’t be reached during the scan, so we couldn’t confirm any links to official social profiles.
Why this matters for AI SEO
Direct connections from your site to your official profiles make it easier for AI to verify brand ownership and legitimacy.
Next step
Ensure the homepage is accessible and clearly connects to the brand’s official social presences.
❌ Independent press coverage
What we saw
No independent press coverage was surfaced in the reputation results.
Why this matters for AI SEO
Independent coverage can act as a third-party validation signal that helps AI systems trust and contextualize a brand.
Next step
Confirm whether credible third-party coverage exists and is clearly attributable to the brand.
❌ Owned press coverage
What we saw
The evaluation did not find clear owned press coverage signals tied to the brand.
Why this matters for AI SEO
When brand announcements and official updates aren’t clearly established, AI has less material to reference for “official” context.
Next step
Make sure official brand updates and announcements are easy to find and clearly connected to your identity.
LLM-Ready Content
❌ Non-generic author present
What we saw
No author information was detected because the content page failed to load during the evaluation.
Why this matters for AI SEO
Authorship is a key trust cue that helps AI systems attribute information to a real, accountable source.
Next step
Ensure the resource page loads and clearly displays a specific author.
❌ Publish or update date present
What we saw
No publish or update dates were found in the page data available to the scan.
Why this matters for AI SEO
Dates help AI understand freshness and whether information is likely to be current.
Next step
Make sure the resource page clearly includes a publish date and/or last updated date.
❌ Updated within last 12 months
What we saw
An explicit update date within the last year couldn’t be confirmed from the available page data.
Why this matters for AI SEO
When recency can’t be verified, AI systems may be less confident using the content for time-sensitive queries.
Next step
Add a clearly visible update signal when content has been refreshed.
❌ Non-social outbound link present
What we saw
No external (non-social) outbound links were found in the data captured for the page.
Why this matters for AI SEO
Useful citations and references can help AI systems understand what your content is grounded in.
Next step
Ensure the resource includes at least one relevant external reference link where appropriate.
❌ Content chunked into readable sections
What we saw
The content structure couldn’t be verified because the page HTML wasn’t available to confirm clear sections.
Why this matters for AI SEO
Well-structured sections make it easier for AI to extract and reuse information without losing meaning.
Next step
Format the resource into clearly separated sections that are easy to scan and interpret.
❌ HTML table present (bonus)
What we saw
No table element was detected in the content snapshot.
Why this matters for AI SEO
Tables can make key comparisons and structured facts easier for AI to pick up cleanly.
Next step
Where it fits naturally, include a simple table to summarize key information.
❌ Descriptive subheadings
What we saw
Subheadings couldn’t be evaluated because the HTML content wasn’t available to review.
Why this matters for AI SEO
Descriptive headings help AI understand the “shape” of the content and pull the right sections into answers.
Next step
Make sure the resource uses clear subheadings that reflect what each section covers.
❌ Key answers appear early
What we saw
We couldn’t analyze whether key answers show up near the top because the page content was missing or fragmentary.
Why this matters for AI SEO
AI systems often rely on early, clear statements to understand what a page is trying to answer.
Next step
Ensure the page clearly states the main takeaway near the beginning.
❌ Readability & cohesion
What we saw
The content was too incomplete or inaccessible to judge readability, consistency, or clarity.
Why this matters for AI SEO
If the content can’t be reliably read and interpreted, AI systems may avoid using it or may summarize it inaccurately.
Next step
Make sure the full content is accessible and written in a clear, internally consistent way.
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.
