The AI Glazing Prompt Pack
AI Glazing is the B2B version of ego surfing: asking ChatGPT, Perplexity, Gemini, and Claude the questions your buyers ask, to see whether they recommend you. Enter your details and get the exact prompts to run, plus what a strong answer looks like.
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Built by Rivetline • AI visibility and speed-to-lead for B2B brands
Why It Matters
Ranking in Google Is Not the Same as Being Cited by AI
For twenty years, visibility meant ranking in Google. You earned backlinks, you targeted keywords, and you fought for one of ten blue links. AI changed the question entirely. When a buyer asks ChatGPT, Perplexity, Gemini, or Claude for a recommendation, they do not get a page of links to evaluate. They get one synthesized answer, and your brand is either named as the expert or it is left out.
When a buyer asks AI for a recommendation, there are no ten blue links to choose from. There is one synthesized answer, and your brand is either in it or invisible.
Old reputation management shaped what humans saw on page one of Google. Now you are shaping what an LLM says when it answers a question on your behalf.
Visibility is no longer about ranking a page. It is about being the authoritative source AI references and positions as the expert in your category.
This is reputation management for machines, not people. The old playbook pushed positive coverage to the top of a results page a human would scan. The new one shapes the signals an AI draws on when it answers on your behalf. It is not about collecting backlinks. It is about getting authoritative sources to reference you, so the model describes you as the expert when it matters. We break the full method down in our guide to AI Glazing and the Sentiment Layer.
How It Works
How AI Decides Who to Cite
Structured Signals
Schema markup tells AI systems exactly what you are and what you do. Organization, service, and FAQ schema remove the guesswork, so the model does not infer and hand the spot to a better-structured competitor.
Topical Authority
Brands that publish deep, accurate answers to the questions buyers actually ask become part of the AI understanding of the category, not just a vendor listed inside it.
Third-Party Citations
AI weighs what others say about you more heavily than what you say about yourself. Press, expert profiles, listicles, and reviews on trusted sites turn hedged language into confident description.
Community Presence
AI systems lean on community sources like Reddit for recommendation and comparison queries. An accurate, positive presence there makes you far more likely to appear in the answer.
The Difference
Traditional SEO vs AI Visibility
| Factor | Traditional SEO | AI Visibility |
|---|---|---|
| The question it answers | Where do you rank in Google | Does AI name you as the expert |
| What the buyer sees | Ten blue links to evaluate | One synthesized recommendation |
| The currency | Backlinks and keywords | Authoritative citations and structured signals |
| What wins | The highest-ranking page | The clearest, most-referenced brand signal |
| Reputation is managed for | Human searchers scanning results | LLMs synthesizing the answer |
| The outcome | A click you still have to earn | Being recommended before the click |
Common Questions
Frequently Asked Questions About AI Glazing
Is AI glazing the same as an AI hallucination?
No. A hallucination is the AI inventing facts. Glazing is the AI describing you in strong, specific terms because the real signals around you are positive, structured, and consistent. The goal is not to get AI to make things up. It is to give it accurate, authoritative material so it does not have to.
Is this just reputation management with a new name?
It shares DNA with it but works on a different surface. Old reputation management handled press and search result pages for human readers. This manages the inputs AI uses to synthesize an answer: schema, structured content, third-party citations, and community discussion. The goal is to be the brand AI recommends when someone asks a decision-driving question.
Does this only work for well-known brands?
No. AI does not default to famous names. It defaults to the brand with the clearest, most consistent signals for the specific question. A focused regional firm with strong structure and authority can out-cite a national competitor that has weak signals on the queries that matter.
How long does it take to change what AI says about you?
Changes from structured data and on-site content can show within weeks as systems re-index. Citation and community signals build over months. A well-run program typically shows measurable movement in 60 to 90 days, with broader shifts across four to six months.
What is the first step?
Run the prompts above to see how AI describes you today, then compare yourself to competitors. For a scored baseline, our AI Visibility Analysis measures schema coverage, content authority, semantic clarity, and competitive presence, and hands back a prioritized action list.
Want AI to Recommend You?
Rivetline builds AI Visibility Systems that grow your Share of Model Voice with structured GEO: schema, authority content, third-party citations, and community presence. Read the full breakdown or talk through where you stand.