Checking your AI search visibility means running the queries your buyers actually ask and verifying whether your brand appears in the responses. You can do this manually in 10 minutes, with a paid monitoring platform, or with Authoricy's free AI Visibility Checker, which runs 5 category-specific prompts and returns a citation rate in about 30 seconds. This guide covers all three approaches and explains what to do with the result.
What AI search visibility means
AI search visibility measures how often your brand is cited when an AI system answers questions about your category. It is distinct from organic search rankings and requires separate measurement.
When a buyer types "best AEO agency for B2B companies" into ChatGPT or Perplexity, the AI generates a direct answer naming specific vendors. Your position in Google's organic results has no bearing on whether you appear in that answer. The AI draws from its training data and retrieval index, not from a ranking algorithm.
A brand with zero organic rankings can appear in AI answers if its content is structured correctly for retrieval. A brand ranking in position 1 can be completely absent from AI answers if its content lacks the structural signals AI systems use to identify citable sources.
The metric that matters: citation rate. Out of the prompts your buyers are most likely to run about your category, how many include your brand in the response? An 8% citation rate is the typical starting point for B2B brands before any optimization. Brands that apply structured AEO methodology reach 24% within 90 days on low-competition service terms.
Why this matters now
The shift from search to AI answers is already underway in B2B buying.
Forrester's 2026 study of 18,000 B2B buyers found that 55% now compare vendors in AI before visiting any supplier website. Buyers are forming shortlists in ChatGPT, Perplexity, and Google AI Mode. By the time they visit your site, the consideration set is already narrowed to brands that appeared in those AI responses.
Ahrefs' 2025 research found that 88% of Google AI Mode citations come from pages outside the organic top 10. The traffic authority you built through traditional SEO does not automatically transfer to AI visibility. These are separate systems with separate requirements.
The consequences of low AI visibility compound over time. Buyers who never encounter your brand in AI answers during the research phase do not visit your site. They do not enter your pipeline. The decision to shortlist competitors instead of you happens before you have any opportunity to convert them.
Three methods to check your AI search visibility
Method 1: Manual testing (free, 10 minutes)
Open ChatGPT, Perplexity, or Google AI Mode. Run 8 to 10 queries a buyer in your category would realistically ask. Record whether your brand appears, note the position when it does, and list every competitor that appeared across all queries.
Sample queries for a B2B SaaS company:
- "What are the best [category] tools for [use case]?"
- "Which [category] platforms do enterprise teams use?"
- "How do I choose a [category] vendor?"
- "What should I look for in a [category] solution?"
This gives a directional signal. The limitations are scale (10 queries is not a full picture), consistency (AI responses vary between sessions), and time (doing this across five platforms is a manual operation).
Method 2: Paid monitoring platforms
Tools like Peec AI, Profound, Otterly, and ZipTie run hundreds of prompts continuously and track changes over time. They return citation rate by platform, share of AI answers, competitive citation benchmarks, and trend data over weeks or months.
Best for: Brands that have already committed to AEO and need to track whether changes are working. Not ideal for: First-time checks, early-stage diagnosis, or teams without an AEO program yet.
Pricing ranges from $200 to $2,000 per month. That is a reasonable cost if you are actively optimizing. It is an unnecessary cost if you have not yet established a baseline.
Method 3: Authoricy's free AI Visibility Checker (30 seconds)
The free AI Visibility Checker runs 5 category-specific prompts through AI systems and checks whether your brand is cited. No account required. Results in about 30 seconds.
What it checks:
- How many of the 5 prompts include your brand in the response
- Your citation rate as a percentage, benchmarked against the 8% industry starting point
- Which competitor brands appeared in responses across all queries
- The full AI response text for each prompt, expandable, so you can see exactly what was said
Best for: First-time checks, quick competitive audits, validating whether a content change moved the needle, or checking a specific category before a campaign.
How to use the AI Visibility Checker
Step 1. Go to authoricy.com/resources/ai-visibility-checker.
Step 2. Enter your domain without the protocol: yourcompany.com, not https://yourcompany.com.
Step 3. Select the category that best describes your market position from the dropdown. Available categories include AEO/SEO Agency, B2B SaaS, Professional Services, E-commerce, HR/Recruitment, Finance/FinTech, Healthcare/Wellness, and Legal Services.
Step 4. Click "Check AI visibility." The tool runs all 5 queries in parallel. Results appear in 10 to 15 seconds.
Step 5. Review the three sections of your results:
- Citation score: how many of the 5 prompts cited your brand, your citation rate as a percentage, and a benchmark bar showing your rate vs. 8%
- Query breakdown: each of the 5 prompts with the full AI response text (click any row to expand), and a Cited/Not cited label
- Competitor citations: every brand that appeared in AI responses across all 5 queries, sorted by frequency
How to interpret your citation rate
0 of 5 (0%)
Your brand is not appearing in AI answers for your category. This is the most common starting point. It does not mean AI systems have negative information about you. It means your content is not structured in a way that makes it extractable as a citation source.
The most common causes: no BLUF (bottom line up front) structure, no schema markup, incomplete topical cluster coverage, anonymous content with no named methodology. All four are fixable within a standard 60 to 90 day AEO program.
1 to 2 of 5 (20% to 40%)
You appear in some queries but not the majority. This typically indicates partial PRISM compliance — either structured content or schema markup, but not both, and likely a topical cluster that covers the primary topic but misses the surrounding sub-queries.
Review the specific prompts where you are not cited. Check which competitors are appearing for those prompts. The pattern usually reveals either a content gap (you have no page addressing that query angle) or a structural gap (the page exists but is not RAG-ready).
3 to 4 of 5 (60% to 80%)
Strong position relative to most brands. The gap between your score and 100% is worth understanding precisely. Look at the prompts where you are not cited and identify what the competitors who do appear have that your content lacks.
At this level, the marginal gains typically come from expanding topical cluster coverage rather than improving existing pages.
5 of 5 (100%)
Excellent baseline. The next measurement step is expanding beyond the 5 default prompts to the 20 to 30 prompts that represent your full query universe. A 100% rate on 5 prompts does not mean 100% on the full prompt set. Use the manual method or a paid tool to test a wider sample.
What to do if your citation rate is 0%
A 0% citation rate is fixable. It is almost always caused by one or more structural problems that do not require rebuilding your content from scratch.
Problem 1: No BLUF structure. AI systems extract citations from content that answers the primary query in the first 40 to 60 words. Most B2B content buries the answer in the third or fourth paragraph after a preamble about the topic's importance. Restructure existing pages to lead with a direct, specific answer.
Problem 2: Missing schema markup. A 2025 analysis found that pages with FAQPage schema are 3.2x more likely to appear in Google AI Overviews than equivalent pages without it. The same pattern holds across ChatGPT and Perplexity for structured queries. If your pages lack Organization, Article, and FAQPage schema, adding it is a high-leverage, low-effort change.
Problem 3: Incomplete topical cluster. A single well-optimized page rarely earns consistent AI citations across all related queries. AI systems favor sources that cover a topic comprehensively across multiple interlinked pages. A full topical cluster for a B2B category typically requires 15 to 25 pages covering every sub-query the category generates. If your site has one or two pages on a topic, you are competing against sites with 20.
Problem 4: No named attribution. Anonymous content is a weak citation candidate. Content with named authors, named methodologies, named frameworks, and links to external data sources earns citations at higher rates. This is the Source component of the PRISM framework. Adding author attribution and methodology references to existing pages improves citation probability without changing the content itself.
Problem 5: Thin claim density. AI systems cite specific, attributable claims: statistics with a source, study results with a sample size, named frameworks with defined components, step-by-step processes with named steps. Generic content with no citable claims does not appear in AI answers regardless of how well-structured it is. "AI is transforming B2B marketing" is not a citable claim. "55% of B2B buyers compare vendors in AI before visiting any supplier website (Forrester, 2026, 18,000 respondents)" is a citable claim.
The PRISM framework scores content across five dimensions: Precise, RAG-Ready, Intent, Source, and Measured. Most B2B content scores between 3.5 and 4.5 out of 10 before optimization. The most common failure points are RAG-Ready (no BLUF structure, no section-level extractability) and Source (no named methodology, no author attribution). Both are addressable without full content rewrites.
Tracking visibility over time
A single citation rate check gives you a baseline. To track whether your AEO program is working, you need comparable measurements over time.
Run the free checker once per month using the same domain and category. Record the date, citation count, and which queries changed. Consistent monthly measurement reveals whether content changes are producing citation movement or not.
For multi-platform tracking across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini, a paid monitoring platform is the practical choice at scale. The five platforms have 13.7% URL overlap in what they cite (Ahrefs, 2025), which means ranking well on one platform does not guarantee visibility on others. Platform-level breakdowns matter.
The Authoricy Strategy Report covers site-wide PRISM scoring, full prompt universe mapping for your category, competitor citation benchmarking across all five platforms, and a prioritized 30-day content build order. It is the structured diagnostic behind a full AEO program.
Frequently asked questions
How accurate is the free AI Visibility Checker?
The checker runs 5 prompts per check using a single AI system. This gives a directional signal, not a comprehensive measurement. A 0 of 5 result is a reliable indicator of absent AI visibility. A 5 of 5 result should be validated with a wider prompt set before assuming full coverage. The tool is best used for first-time diagnostics and directional trend-checking rather than board-level reporting.
Does AI search visibility affect Google organic rankings?
Not directly. AI visibility and organic rankings are separate systems with separate signals. However, the content changes that improve AI citation (BLUF structure, schema markup, specific attributable claims, complete topical clusters) also tend to improve organic performance because they align with the structural quality signals Google's algorithms reward. Running both programmes simultaneously is more efficient than running them sequentially.
My brand ranks position 1 in Google. Why is it not appearing in AI answers?
Organic rankings and AI citations use different selection criteria. Ahrefs' 2025 analysis found that 88% of Google AI Mode citations come from pages outside the organic top 10. A page can rank well because it attracts links and signals topical relevance; it gets cited in AI answers because it contains specific, extractable, attributable claims in a structure AI systems can process. A high-ranking page with no schema, no BLUF structure, and no citable statistics is unlikely to earn AI citations regardless of its ranking position.
How long does it take to improve a 0% citation rate?
For low-competition service terms with dedicated content, initial citation movement typically appears within 60 to 90 days of publishing PRISM-compliant content. Category-head terms where established competitors dominate take 4 to 6 months to enter consistently. The timeline depends on topical cluster completeness, claim density, schema implementation, and the competitive citation landscape for your specific queries.
Should I optimize for all five AI platforms simultaneously?
Yes, and the same content changes serve all five platforms. ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini all favor the same underlying content structure: specific attributable claims, BLUF openings, section-level extractability, FAQPage schema, named methodology, and complete topical coverage. Optimizing for one platform with these principles serves all five. Platform-specific differences exist at the prompt interface level (how users ask questions) but not at the content structure level (what gets cited).