Overview:
On 07/26/26 raresenseamerica.com scored 43% — **Below Average** – Overall, the site has a solid baseline, but a few key gaps are making it harder for AI systems to confidently understand and validate the brand.
Executive summary
Score Breakdown (High Level)
- Discoverability: 100% - The site’s technical foundation for discovery is solid, though adding an image or video sitemap would help search engines better index your visual content.
- Structured Data: 33% - The site has basic homepage schema in place, but it's missing organization-level details and author information on the resource pages.
- AI Readiness: 67% - The technical foundation for AI is essentially complete with open crawling and healthy sitemaps, though the brand lacks a Wikidata entry to anchor its identity.
- Performance: 67% - Mobile performance is in great shape, with very low blocking time and a perfectly stable layout on the homepage.
- Reputation: 12% - The site successfully links to social media profiles but lacks the broader offsite validation, such as independent press or a Wikidata presence, that search engines use to verify brand authority.
- LLM-Ready Content: 20% - While the content itself is clear and includes helpful external links, the page's technical structure lacks the headings, author details, and dates that AI systems use to confirm authority and relevance.
The big picture before details
What stands out most is that the site’s baseline accessibility is in good shape, but the signals that help AI confidently identify, trust, and summarize the brand are thinner than they should be. A lot of the gaps are less about “errors” and more about missing context that makes it harder for AI to connect the brand to credible offsite validation and clearly framed content. Below, we’ll walk through the specific areas where those clarity and trust signals didn’t show up in the evaluation. The good news is these are the kinds of gaps that are common, straightforward to spot, and very manageable once they’re on your radar.
Detailed Report
Discoverability
❌ Image or video sitemap missing
What we saw
We didn’t detect an image sitemap or a video sitemap in the available site data.
Why this matters for AI SEO
When richer media isn’t clearly listed and categorized, AI systems can have a harder time finding and confidently reusing those assets in answers and summaries.
Next step
Publish and reference an image sitemap and/or video sitemap that clearly lists key media assets you want discovered.
Structured Data
❌ Organization-level structured data not found
What we saw
We didn’t see organization-type structured data associated with the homepage, beyond basic website-level information.
Why this matters for AI SEO
Without a clear entity definition, AI systems have less context to confidently connect your site to a real-world brand and its official identity.
Next step
Add organization-level structured data that clearly describes the brand as an entity and ties it to its official identity details.
❌ Resource/blog structured data couldn’t be evaluated
What we saw
The resource/blog page content wasn’t available in the provided snapshot, so we couldn’t confirm whether structured data is present there.
Why this matters for AI SEO
If AI systems can’t reliably interpret your content types and relationships on blog/resource pages, they may struggle to attribute, summarize, or trust that content.
Next step
Make sure the resource/blog page is accessible and includes structured data that clearly describes the page and its content.
❌ Blog post author is missing or unclear
What we saw
Because the resource/blog page content wasn’t available, we couldn’t verify that posts show a clear, non-generic author.
Why this matters for AI SEO
Clear authorship helps AI systems judge credibility and attribute information correctly, especially for content that could be quoted or summarized.
Next step
Ensure each blog/resource post clearly identifies a real author in a consistent, machine-readable way.
❌ Author identity links weren’t found
What we saw
Because the resource/blog page content wasn’t available, we couldn’t confirm the presence of author identity links that connect the author to known profiles.
Why this matters for AI SEO
When author identity isn’t anchored to consistent external profiles, AI systems have fewer signals to validate who created the content.
Next step
Add author identity links that connect authors to their official profiles and keep them consistent across content.
AI Readiness
❌ No Wikidata entity detected for the brand
What we saw
We didn’t find a Wikidata entity associated with the brand in the provided results.
Why this matters for AI SEO
A missing or unclear entity record can make it harder for AI systems to confirm that they’re referencing the official brand (and not a similarly named alternative).
Next step
Establish and confirm a Wikidata entity for the brand that matches your official identity details.
Reputation
❌ Negative client sentiment couldn’t be verified
What we saw
We weren’t able to confirm whether there are (or aren’t) credible negative client assertions tied to the brand based on the provided reputation results.
Why this matters for AI SEO
When sentiment signals are unclear, AI systems may be more cautious about how confidently they describe or recommend a brand.
Next step
Collect and document clear, verifiable customer feedback signals that AI systems can reference.
❌ Negative employee sentiment couldn’t be verified
What we saw
We weren’t able to confirm whether there are (or aren’t) credible negative employee assertions tied to the brand in the available reputation results.
Why this matters for AI SEO
Unclear workforce sentiment signals can reduce confidence in brand trust summaries, especially when AI tries to assess legitimacy.
Next step
Strengthen and surface consistent, verifiable brand signals that help third parties accurately describe the organization.
❌ Brand recognition across AI systems wasn’t confirmed
What we saw
The reputation results didn’t confirm that the brand is consistently recognized across multiple AI systems.
Why this matters for AI SEO
If recognition is inconsistent, AI answers may omit the brand, confuse it with others, or provide thinner descriptions.
Next step
Build a stronger offsite footprint so the brand is easier for AI systems to recognize and describe consistently.
❌ Brand identity consistency wasn’t verified
What we saw
We couldn’t verify consistent brand identity details (like name and other identifying information) across external sources in the provided reputation results.
Why this matters for AI SEO
When identity signals don’t line up, AI systems may hedge, misattribute details, or struggle to connect mentions to the correct brand.
Next step
Align and confirm consistent brand identity information across the major sources AI systems tend to reference.
❌ Wikidata match to the brand wasn’t confirmed
What we saw
The reputation results did not confirm a matching Wikidata entity for the brand.
Why this matters for AI SEO
Without a confirmed entity match, AI systems have less confidence in who the brand is and what it should be associated with.
Next step
Create or update the brand’s entity presence so it clearly matches the official brand identity.
❌ Official identity anchors weren’t confirmed
What we saw
We didn’t see confirmation of official identity anchors that clearly back up the brand’s identity in the broader ecosystem.
Why this matters for AI SEO
Official anchors reduce ambiguity, helping AI systems connect the dots between your site, external profiles, and trusted references.
Next step
Make sure the brand has clear, official identity references that match across major third-party sources.
❌ Third-party reviews weren’t found
What we saw
We didn’t see evidence of third-party reviews or customer feedback in the provided reputation results.
Why this matters for AI SEO
Independent reviews are a common trust signal that helps AI systems validate that a brand is real, active, and accountable.
Next step
Build a visible, third-party review footprint on reputable platforms where feedback can be independently verified.
❌ Review sources weren’t concrete or verifiable
What we saw
The reputation results didn’t provide clear, concrete sources for customer feedback that could be treated as independent validation.
Why this matters for AI SEO
When review sources aren’t clear, AI systems may discount them, which reduces overall trust in brand summaries.
Next step
Consolidate reviews on well-known, verifiable platforms and keep those references consistent.
❌ Social profile consensus wasn’t confirmed
What we saw
Even though the site links to major social profiles, the reputation results didn’t confirm consistent consensus on those profiles across sources.
Why this matters for AI SEO
If official profiles aren’t consistently recognized, AI systems may hesitate to treat them as authoritative references for the brand.
Next step
Standardize and reinforce which social profiles are official so they’re consistently recognized as the brand’s primary accounts.
❌ Independent press or coverage wasn’t found
What we saw
We didn’t see evidence of independent (offsite) press coverage in the provided reputation results.
Why this matters for AI SEO
Independent coverage is a strong credibility signal and can help AI systems confidently describe what a brand does and why it matters.
Next step
Develop and earn independent coverage that clearly references the brand in credible publications.
❌ Onsite press or press releases weren’t found
What we saw
We didn’t see evidence of owned press content (like press releases or a press page) in the provided reputation results.
Why this matters for AI SEO
Owned press content helps AI systems find clean, quotable statements about announcements, milestones, and official positioning.
Next step
Publish a clear, dedicated place on the site for official announcements and press-ready information.
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 listed
What we saw
We didn’t find a specific individual author identified on the page, either in visible content or in supporting page data.
Why this matters for AI SEO
When authorship is unclear, AI systems have a harder time assessing credibility and properly attributing ideas.
Next step
Add a clear, specific author name that is consistently associated with the content.
❌ No publish or update date found
What we saw
We didn’t find a visible publication date or a “last updated” date in the page content or supporting page data.
Why this matters for AI SEO
Without a date signal, AI systems may be less confident about how current the information is.
Next step
Include a clear publish date and/or last updated date that’s easy to find and consistent.
❌ Freshness couldn’t be confirmed
What we saw
Because no update date was present, we couldn’t verify how recently the content was refreshed.
Why this matters for AI SEO
AI systems often weigh recency when deciding which sources to rely on for time-sensitive topics.
Next step
Make the content’s most recent update timing explicit so it’s clear how current it is.
❌ Content not broken into enough sections
What we saw
The page only showed one major section heading, which limits how cleanly the content can be divided into distinct topics.
Why this matters for AI SEO
When content isn’t chunked into clear sections, AI tools have a tougher time extracting the right part of the page for a specific question.
Next step
Rework the article structure so it’s broken into multiple clearly labeled sections.
❌ No table-based summary found
What we saw
We didn’t find an HTML table used to summarize key information.
Why this matters for AI SEO
Tables can make important details easier for AI systems to identify, compare, and reuse accurately.
Next step
Add a simple table where it naturally helps summarize key points, definitions, or comparisons.
❌ Subheadings couldn’t be evaluated
What we saw
Because the page didn’t have enough major section headings, we couldn’t assess whether subheadings are descriptive and helpful.
Why this matters for AI SEO
Descriptive subheadings help AI systems understand what each section is “about” without guessing.
Next step
Add section headings and subheadings that clearly describe the question or topic each section answers.
❌ Early-answer placement couldn’t be evaluated
What we saw
Because the page structure didn’t break into multiple sections, we couldn’t evaluate whether key answers show up early in each section.
Why this matters for AI SEO
AI systems often pull short excerpts, so clearer “answer-first” sections can improve how accurately your content gets represented.
Next step
Restructure sections so the main takeaway for each topic appears early and is easy to extract.
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.
