AI Visibility & Citation

Here's the test. Open ChatGPT. Open Perplexity. Open Google AI Overviews. Type your competitor's name. Then type yours.

If the competitor shows up and you don't, the problem isn't your content. It's your semantic infrastructure. AI doesn't cite you because it doesn't understand you. And it doesn't understand you because you're not speaking its language.

In 2026, traditional organic traffic is stagnating or declining for most sites. AI Overviews swallow informational clicks. Buyer agents bypass product pages. "Zero-Click" is no longer a risk — it's the norm for the top of the funnel.

But the bottom of the funnel — validation queries, technical questions, expertise searches — remains a territory where AI cites sources. Not all sources. Those that are structured, typed, and verifiable. Those whose entities are clean, whose authors are identified, whose expertise is anchored in global knowledge bases.

That's where Glorics comes in. Not to make you "visible" — to make you citable.

An LLM doesn't work like a traditional search engine. Google indexes pages and ranks them by relevance. An LLM ingests sources, understands them (or thinks it does), and builds a synthetic response by citing the sources with the highest trust score.

That trust score depends on three factors:

Entity clarity. The AI must be able to identify who's speaking. If your site has three contradictory JSON-LD blocks (a generic Organization from Yoast, a LocalBusiness from the theme, a Product from a reviews plugin), the AI doesn't know who you are. It can't attribute authority if it can't identify you.

Expertise verifiability. AI doesn't believe unsubstantiated claims. "We are cybersecurity experts" is marketing copy — invisible to a probabilistic model. A knowsAbout link to Wikidata Q3510521 (Computer security), an author with a sameAs to a verified LinkedIn profile, and a bidirectional worksFor linking the expert to the organization — that's machine-readable proof.

Cluster coverage. AI builds its answers through "Fan-out" — it breaks a complex question into sub-questions and looks for sources covering each facet. If your site covers three out of five sub-questions, you're 161% more likely to be cited than if you only cover the main question. That's Ahrefs/SurferSEO data, not intuition.

Google has hammered the importance of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). But most sites implement it as marketing: an author bio at the bottom of the page, a smiling photo, and "15 years of experience" in free text.

For an AI agent, that's noise. It can't verify a free-text bio.

The Glorics infrastructure implements E-E-A-T as structured data:

Bidirectional worksFor. Your expert's Person entity has a worksFor link to your Organization. And your Organization has an employee (or founder, or member) link back to that Person. It's a closed loop. The AI can verify that John Smith works for you, and that you recognize John Smith as your expert.

sameAs to verified profiles. The author's Person entity has a sameAs pointing to their LinkedIn profile, their X profile, their Google Scholar page. The AI can cross-reference: the person signing this article exists, is linked to this organization, and has published on this topic.

author.sameAs on every article. Every published article carries the structured signature of its author — not just a name in text, but an @id link to the complete Person entity with their knowsAbout and sameAs. For LLMs, this is the strongest E-E-A-T signal: an identifiable person, linked to an identifiable organization, writing about a subject in which they have verifiable expertise.

citation for GEO. When your article cites sources, the Entity Builder encodes them as a citation property in the JSON-LD. For an LLM building its response, an article that cites its sources is more trustworthy than one that asserts without evidence. It's the same mechanism as academic peer review — except here, the reviewer is a machine.

How do you know if AI is citing you? Google Analytics won't tell you. AI citations don't always generate clicks. The user gets their answer on ChatGPT, they don't click your link. But they saw your name. They remembered your brand. Two days later, they type your name directly into Google.

That traffic arrives as "branded" or "direct." If you only measure "non-branded" traffic, you think you're declining when you're actually growing in awareness.

The 2026 KPI: Search Demand. It's the curve of search volume for your own brand name. If that curve rises while your generic SEO traffic stagnates, that's the GEO success signal. AI is talking about you "off-site," and people are coming to find you specifically. It's the shift from Discovery (SEO) to Destination (Brand).

The citation audit: monitor which pages on your site are cited by LLMs. Identify your "strategic GEO assets" — articles that generate only 5 direct conversions per month but are the #1 source ChatGPT uses to answer questions in your industry. Without those articles, you disappear from AI recommendations. The article doesn't generate clicks — it generates machine trust.

AI sentiment: when AI talks about you, what adjectives does it use? If "expensive" or "complex" comes up, that's a recommendation barrier no backlink will fix. It's a semantic signal — not a technical one. And it's a signal only continuous monitoring can capture.