Overview:
On 06/13/26 igmody.com scored 41% — **Below Average** – Overall, the site has some solid fundamentals, but a few visibility and credibility gaps make it harder for AI systems to confidently reference the brand.
Executive summary
Score Breakdown (High Level)
- Discoverability: 92% - The site's technical foundation is solid and search-engine friendly, though it's missing specific sitemaps for images and video content.
- Structured Data: 58% - The homepage organization schema is solid and error-free, but we're missing the data needed to verify the blog and author markup.
- AI Readiness: 33% - The site is currently blocking major AI crawlers and missing critical sitemap metadata, which creates a significant barrier to visibility in generative search results.
- Performance: 67% - Mobile performance for the homepage is solid across the board, with particularly strong scores for responsiveness and layout stability.
- Reputation: 0% - The reputation section failed to score points because the required brand consensus data was missing and the homepage social links were non-functional placeholders.
- LLM-Ready Content: 40% - The site is well-maintained and transparent about its authorship, but it lacks external citations and sufficient content depth for high AI performance.
Where things stand overall
The big takeaway is that a few key signals that help AI systems confidently understand and reference the brand are either missing or hard to verify right now. Most of what came up reads less like “something is wrong” and more like “the story isn’t fully connected or confirmable” across the web and within the resource content. Next, we’ll walk through the specific areas where the evaluation couldn’t find what it needed, organized by section. None of this is unusual—these are common gaps, and they’re very workable once you know exactly where they’re showing up.
Detailed Report
Discoverability
❌ No image or video sitemap found
What we saw
We didn’t find any dedicated sitemap coverage for image or video content. This creates a small blind spot for how reliably visual assets get picked up.
Why this matters for AI SEO
When AI systems and search features surface visuals, they tend to rely on clear discovery pathways to find and interpret those assets. If visual content is harder to discover, it’s less likely to get used as supporting context.
Next step
Add a dedicated image and/or video sitemap so your visual content is easier to consistently discover.
Structured Data
❌ Resource/blog page structured data couldn’t be evaluated
What we saw
The resource/blog page example we attempted to review was missing or empty, so we couldn’t see any page-level structured data there. That left a meaningful gap in what we can confirm about article-level signals.
Why this matters for AI SEO
AI systems tend to trust content more when they can clearly tell what a page is, who it’s by, and what it’s about. If that layer isn’t present (or can’t be read), the content becomes harder to interpret and reuse.
Next step
Make sure a live, accessible resource/blog page is available to evaluate and includes clear page-level structured data.
❌ Author clarity on resource/blog content wasn’t verifiable
What we saw
Because the resource/blog page example was missing or empty, we couldn’t confirm whether the post had a clear, non-generic author. In practice, this usually means the author signal is either absent or not readable.
Why this matters for AI SEO
Authorship is a key trust cue for AI-generated summaries, especially when models decide whether to treat content as credible or just generic web copy. When the author isn’t clear, trust and attribution can suffer.
Next step
Ensure resource/blog posts clearly identify a real author in a way that’s consistently visible and understandable.
❌ Author identity links weren’t verifiable
What we saw
We weren’t able to confirm any author identity links connected to the author information on a resource/blog post because the page sample wasn’t available. That makes the author signal feel disconnected from the broader web.
Why this matters for AI SEO
When AI systems see authors tied to consistent identity references, it’s easier to disambiguate who’s who and trust the attribution. Without those connections, author credibility is harder to establish.
Next step
Add clear author identity links that connect the author to consistent public profiles.
AI Readiness
❌ Major AI crawlers are blocked
What we saw
The site is explicitly blocking major AI crawlers, including GPTBot, Google-Extended, and CCBot. That means some AI systems may not be able to access or use the site as a source.
Why this matters for AI SEO
If AI crawlers can’t access your content, your pages are far less likely to be incorporated into AI-generated answers or cited as supporting sources. This limits visibility even when the content itself is strong.
Next step
Decide which AI crawlers you want to allow and update the site’s access rules accordingly.
❌ Sitemap doesn’t show content update timing
What we saw
An XML sitemap is present, but it doesn’t include update timing information (last modified dates). That makes it harder to tell what’s fresh versus older.
Why this matters for AI SEO
AI and search systems are more confident when they can quickly assess whether content is current, especially for time-sensitive topics. Without update timing cues, freshness is harder to interpret.
Next step
Include last-updated information in the sitemap so systems can better understand content recency.
❌ No Wikidata entity found for the brand
What we saw
We didn’t find a Wikidata entry connected to the brand. That removes a common “reference point” used for identity verification.
Why this matters for AI SEO
When AI systems can’t easily match a brand to a consistent external identity record, they may be more cautious about mentioning it or may confuse it with similarly named entities. That can reduce confidence and clarity in generated answers.
Next step
Create or claim a Wikidata entity for the brand so identity signals are easier to verify.
Reputation
❌ Client sentiment couldn’t be confirmed
What we saw
We didn’t have enough confirmed information available to determine whether there are notable negative client assertions tied to the brand. In other words, this signal was not verifiable in the available results.
Why this matters for AI SEO
If sentiment signals can’t be verified, AI systems may be less confident summarizing the brand’s reputation or may avoid making quality claims. Clear, verifiable reputation context helps models speak accurately.
Next step
Make sure there are clear, publicly verifiable sources that reflect real customer experiences with the brand.
❌ Employee sentiment couldn’t be confirmed
What we saw
We didn’t have enough confirmed information available to determine whether there are notable negative employee assertions tied to the brand. This signal wasn’t verifiable in the available results.
Why this matters for AI SEO
AI systems can incorporate broader sentiment when summarizing companies, especially for “should I trust them?” style questions. If that context isn’t clear, the brand story can come across as incomplete.
Next step
Ensure there are accessible, credible sources that reflect the brand’s employer reputation where relevant.
❌ Brand recognition across AI systems couldn’t be confirmed
What we saw
We weren’t able to confirm consistent brand recognition across multiple AI systems based on the available results. This doesn’t mean recognition is absent—just that it wasn’t verifiable here.
Why this matters for AI SEO
When recognition signals are unclear, brands are less likely to be mentioned confidently in AI-generated answers, especially for competitive or ambiguous queries. Verified recognition helps models “place” you correctly.
Next step
Strengthen the brand’s public footprint so recognition signals are easier to validate.
❌ Brand identity consistency couldn’t be confirmed
What we saw
We didn’t have enough confirmed information to validate that the brand’s identity details are consistent across sources. Key identity alignment wasn’t verifiable in the available results.
Why this matters for AI SEO
AI systems rely on consistent identity cues to avoid mixing brands up or attributing the wrong details to the wrong entity. Inconsistency (or lack of clarity) can reduce trust and visibility.
Next step
Make sure the brand’s core identity details are consistent and easy to confirm across the web.
❌ Wikidata match for the brand couldn’t be confirmed
What we saw
We couldn’t confirm a matching Wikidata entity for the brand in the available results. That removes a strong external “identity anchor” some AI systems lean on.
Why this matters for AI SEO
Without a matching identity anchor, AI systems may be more cautious about referencing the brand or may struggle to connect the site to a consistent entity record. This can impact trust and accuracy.
Next step
Create or align a Wikidata entity that clearly matches the brand’s identity.
❌ Official identity anchors weren’t verifiable
What we saw
We weren’t able to confirm that the brand has strong official identity anchors tied to an external entity record. This signal wasn’t verifiable in the available results.
Why this matters for AI SEO
Official anchors help models connect “this website” to “this real-world entity,” which improves confidence and reduces confusion. When that linkage is weak, entity trust can drop.
Next step
Make sure the brand’s external identity record includes clear official anchors that point back to the brand.
❌ Third-party reviews weren’t verifiable
What we saw
We didn’t have enough confirmed information to validate that third-party reviews or customer feedback exist for the brand. This signal wasn’t verifiable in the available results.
Why this matters for AI SEO
When AI systems summarize quality or credibility, third-party feedback is a common trust input. If reviews aren’t clearly discoverable, models have less to work with.
Next step
Ensure the brand has clearly discoverable, third-party review sources that can be referenced.
❌ Review sources weren’t concrete or confirmable
What we saw
We weren’t able to confirm concrete sources for customer feedback in the available results. Even if reviews exist somewhere, they weren’t clearly attributable here.
Why this matters for AI SEO
AI systems tend to trust reviews more when they come from recognizable, attributable sources. Vague or unconfirmed review signals are less likely to influence generated summaries.
Next step
Make sure review sources are clearly attributable and easy to validate.
❌ Consensus on major social profiles couldn’t be confirmed
What we saw
We didn’t have enough confirmed information to validate consensus around the brand’s major social profiles. This signal wasn’t verifiable in the available results.
Why this matters for AI SEO
Social profiles often act as identity confirmation points, especially when they consistently match the brand name and website. If that consistency isn’t clear, entity confidence can suffer.
Next step
Make sure the brand’s major social profiles are consistent and clearly connected back to the website.
❌ Social icons don’t link to real profiles
What we saw
The homepage/footer includes social icons, but the links point to “#” placeholders instead of real profile URLs. That means they don’t function as usable identity references.
Why this matters for AI SEO
Working social links help validate that the brand is real, active, and consistently represented across platforms. Placeholder links remove an easy trust and identity signal.
Next step
Replace placeholder social links with the brand’s actual profile URLs.
❌ Independent press or coverage wasn’t verifiable
What we saw
We weren’t able to confirm independent offsite press or coverage in the available results. This signal wasn’t verifiable here.
Why this matters for AI SEO
Independent mentions can act as credibility reinforcement, especially when AI systems summarize “who is this company?” or “are they reputable?” Without it, there’s less external confirmation to draw from.
Next step
Make sure any independent coverage is easy to find and clearly connected to the brand.
❌ Onsite press or press releases weren’t verifiable
What we saw
We weren’t able to confirm onsite press or press-release content in the available results. This signal wasn’t verifiable here.
Why this matters for AI SEO
A clear place for official announcements can help AI systems pull accurate, on-record statements about the brand. When that’s missing or unclear, models have fewer official references.
Next step
Publish a clear, findable place on the site for official announcements or press-related updates.
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 outbound links to non-social sources
What we saw
We didn’t find outbound links to external, non-social websites within the main content. The page reads as self-contained without pointing to supporting references.
Why this matters for AI SEO
AI systems tend to trust content more when it’s connected to the broader web through credible references. Without those connections, the page has less “citation gravity” for summaries and sourcing.
Next step
Add a small set of relevant external references that support the main points.
❌ Sections are too short to carry full context
What we saw
The content is broken into sections, but the average section length is very brief, which limits how much context each part provides. As a result, key ideas can feel thin or under-explained.
Why this matters for AI SEO
Generative systems extract meaning in chunks, and short sections often don’t contain enough complete context to reuse confidently. More complete section-level context improves understanding and summarization.
Next step
Expand the main sections so each one fully explains a single idea with enough detail to stand on its own.
❌ No table-based summary element
What we saw
We didn’t find any table element in the content structure. That means there isn’t an easy “at-a-glance” block that summarizes comparisons or key takeaways.
Why this matters for AI SEO
Structured summaries make it easier for AI systems to extract precise details (like feature comparisons or step groupings) without misreading narrative text. That can improve how accurately content is reused.
Next step
Add a simple table where it naturally fits to summarize key points or comparisons.
❌ Subheadings aren’t consistently descriptive
What we saw
Many subheadings read as generic or don’t clearly reflect what the following section actually covers. That makes the page harder to scan for meaning.
Why this matters for AI SEO
Subheadings act like “labels” that help AI systems map sections to topics and extract the right chunk for the right question. Vague headings make that mapping less reliable.
Next step
Rewrite subheadings so they clearly describe the specific question or topic each section answers.
❌ Key answers don’t show up early enough
What we saw
A majority of sections start with very short openers that don’t quickly deliver a clear answer or takeaway. Readers (and AI) have to dig further into the section to find the point.
Why this matters for AI SEO
AI systems often prioritize early, explicit answers when deciding what to quote or summarize. If the “answer” isn’t obvious up front, the content is less likely to be pulled into generated responses.
Next step
Make the first paragraph under each key subheading deliver a direct, specific answer before expanding with detail.
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.
