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Is Your Brand Visible in AI Search. Or Invisible When It Matters?

8 questions that reveal how visible your brand is when buyers ask ChatGPT, Perplexity, and Gemini about your category.

0 — 30 AI Ghost
31 — 60 AI Mentioned
61 — 100 AI Authority
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0 / 100
Your score
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AI visibility compounds. Reassess every 90 days as you publish and earn coverage.

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About this tool

What is AI brand visibility and why does it matter now?

B2B buyers are changing how they research. Before they visit a website or speak to a salesperson, many now open ChatGPT or Perplexity and ask: "What are the best [your category] companies?" If your brand does not appear in those answers, you are invisible at the very top of the purchase funnel.

AI brand visibility is determined by the signals that large language models and retrieval-augmented search tools use to decide which brands to mention. These include third-party coverage, E-E-A-T credentials, branded search volume, structured content, and directory presence. Unlike paid ads, these signals cannot be bought — they have to be earned.

This diagnostic scores your brand across the eight factors that most strongly correlate with consistent AI mentions, based on current research into how models like ChatGPT, Perplexity, and Gemini select sources.

Tier Score What it means Typical situation
AI Ghost 0 – 30 You are not mentioned when buyers ask AI about your category No structured content, minimal third-party coverage, no branded search
AI Mentioned 31 – 60 You appear sometimes but are not a consistent or prominent answer Some coverage and content but no systematic AI-optimisation strategy
AI Authority 61 – 100 AI tools recognise you as a relevant, credible voice in your space Strong E-E-A-T, consistent coverage, structured content, growing branded search
How Groew builds AI visibility

Your score shows the gap. Groew closes it.

Most B2B brands are invisible in AI search because they have never built the foundational signals that models rely on. Groew builds the content architecture, authority signals, and structured assets that get your brand mentioned when buyers ask AI about your category.

  • Content clusters structured for AI extraction and citation
  • E-E-A-T asset build: author credentials, case studies, expert guides
  • Third-party placement strategy to earn mentions that AI tools trust
  • Branded search growth through organic demand generation
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Alokk's perspective
Alokk, Founder at Groew
Alokk Founder and Lead Growth Architect, Groew
After building AI visibility infrastructure for B2B service firms, the pattern is consistent. Brands that show up in ChatGPT answers are not the ones with the biggest ad budgets. They are the ones with the deepest content clusters, the clearest expert attribution, and the most third-party citations. When we audited a professional services firm scoring below 30 on this diagnostic, the primary blocker was zero structured FAQ content and no named authors on any page. Six weeks after fixing those two things, they began appearing in Perplexity answers for their core category. Within 90 days, two inbound leads cited AI search as how they found the firm.
Common questions

AI brand visibility FAQ

AI brand visibility is the likelihood that ChatGPT, Perplexity, Gemini, and similar tools mention or recommend your brand when buyers ask questions about your category. It is determined by third-party citations, E-E-A-T signals, branded search volume, structured content, and how often your brand appears in the sources these tools use.
B2B buyers increasingly use AI tools to shortlist vendors before they visit a website. If ChatGPT or Perplexity does not mention your brand when a buyer asks about your category, you are invisible at the very start of the purchase journey. AI-generated shortlists heavily influence which brands get contacted, making AI visibility a direct pipeline metric.
There is no guaranteed threshold, but brands that consistently appear in AI answers typically have strong third-party coverage, clear E-E-A-T signals, branded search volume, and structured content. A score above 60 in this diagnostic indicates you have most foundational signals in place. Scores below 40 suggest significant gaps that make consistent AI mention unlikely.
Foundational improvements — structured FAQ content, author credentials, key directory listings — can begin influencing AI retrieval within 4 to 8 weeks. Deeper signals like consistent media mentions and growing branded search take 3 to 6 months of sustained effort. Unlike paid ads, improvements to AI visibility compound and do not stop when you pause spend.
AI tools favour clearly structured, factually grounded content from identifiable experts. The highest-impact types are FAQ pages with direct question-answer pairs, definitional or explainer articles on core category terms, case studies with specific named outcomes, and third-party press or analyst coverage. Thin service pages and keyword-stuffed blog posts rarely influence AI answers.
No. This is a diagnostic questionnaire, not a live API query. It scores your brand against the eight factors that most strongly correlate with AI visibility. To do a live test, open ChatGPT or Perplexity and ask: "What are the best [your category] companies?" and note whether your brand appears.
From Groew's Search Authority Team

AI Search Visibility: What It Is and How to Build It

AI tools are becoming the first stop for B2B buyers researching vendors. This guide explains how brand visibility in ChatGPT, Perplexity, and Gemini is determined, what signals matter most, and the exact steps to improve your score.

How AI Tools Decide What Brands to Mention

Large language models like ChatGPT and Perplexity do not browse the web in real time for every query. They were trained on large datasets of text from the web, including articles, forum discussions, product reviews, and news coverage. When a buyer asks "what is the best [category] tool for B2B companies," the model retrieves brands that appeared frequently and positively in those training sources.

The practical implication: brands that have consistent third-party mentions, authoritative content, and clear expert attribution are dramatically more likely to appear. Brands that rely on paid advertising to generate visibility have almost no presence in AI answers — because ads are not part of the training data.

Read the complete guide

The Eight Signals That Drive AI Brand Visibility

Based on patterns across hundreds of brand audits, these are the signals most strongly correlated with consistent AI mention:

Third-party citations — Press coverage, analyst mentions, directory listings, and review sites that name your brand in a positive context. These carry the most weight because they represent independent endorsement.

E-E-A-T signals — Expert, Experience, Authoritativeness, and Trustworthiness. Named authors with verifiable credentials on every key page. Team bios linked from LinkedIn. Case studies with specific client outcomes and timeframes.

Structured FAQ content — FAQ pages with direct question-and-answer pairs are particularly retrievable by AI tools. A 74% correlation between FAQ schema markup and AI answer inclusion has been observed across B2B sites in competitive categories.

Branded search volume — Buyers who search your brand name directly indicate to AI training pipelines that your brand is well-known. Branded search is a proxy for real-world reputation.

The Fastest Path to Improving Your Score

Three actions with the highest return-to-effort ratio, in priority order:

Add structured FAQ content to every core page. Use FAQ schema markup. Write questions in the exact language your buyers use when searching. AI tools extract these at high frequency. A single FAQ page added to each service page can begin influencing AI results within 4 to 8 weeks.

Add named author attribution to all expert content. Replace "Groew Team" with a specific person's name, title, and a link to a LinkedIn profile. AI training data associates expertise with named individuals. Anonymous content is treated as lower authority.

Earn two to three third-party citations in your category. This means getting mentioned in a relevant industry publication, a software review site, or a business directory. These citations carry more weight than any amount of self-published content.

Why This Is Different from Traditional SEO

Traditional SEO targets keyword rankings in Google Search. AI visibility targets mention frequency in AI-generated answers. The two overlap significantly — strong E-E-A-T, structured content, and third-party authority help both — but the emphasis is different.

Google rewards recency and technical optimisation heavily. AI retrieval rewards depth, expertise, and citation density. A site that ranks well for long-tail keywords may score low on AI visibility if it lacks named expert attribution and third-party mentions. A site with fewer pages but deep topical authority and media coverage may score high.

Building both in parallel is the highest-leverage strategy. The organic search infrastructure Groew installs is specifically designed to serve both audiences: Google's crawler and AI training pipelines.

AI Visibility as a Revenue Infrastructure Asset

Every brand mentioned in an AI answer is effectively getting a free, ongoing endorsement to every buyer who asks that question. Unlike an ad, this does not stop when you pause spending. Unlike a social post, it does not disappear from the feed. It is infrastructure.

Brands that establish AI visibility now, while the field is still uncrowded, will compound that advantage over the next several years. The brands that wait until AI search dominates the buyer research journey will be competing against established mentions that are very difficult to displace.

The audit score you just received is a snapshot of where you stand today. Use it as a starting point, not a verdict. Most of the factors are directly addressable within 90 days of focused work.

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