Your website may be invisible to AI. Not because of what you're doing wrong, but because the signals AI engines use to decide who gets cited are completely different from SEO. AIVA measures them. Exactly.
You've spent years optimizing for Google. But when someone asks ChatGPT, Perplexity, or Google's AI Overview for a recommendation — the signals that determine whether you get cited are completely different.
Crawlability and citability are not the same problem. Google ranks pages. AI engines cite content they can trust, parse, and attribute. Many well-ranked sites fail AI citability audits. Most clients don't know it yet.
Winning signal: ranking position
Winning signal: citability signals on the page
28 rules. 3 scoring layers. Every single point is traceable to a specific rule and a specific piece of evidence on the page. Not a black box — explainable math, reproducible results, numbers you can defend in a client meeting.
Checks robots.txt for GPTBot, ClaudeBot, PerplexityBot, and others. Validates llms.txt for explicit AI guidance and structured access declarations.
Article, BreadcrumbList, FAQPage, Person/Organization schema. The markup that tells AI engines what your content is and who wrote it.
Author byline, rel=author, publisher identity signals. Trust indicators that determine whether AI treats your content as citable and attributable.
Does the content directly answer questions? Clear, direct answers to likely queries are a primary signal for AI citation selection.
AI engines prefer content with specific, verifiable data points. Stats density scoring measures whether your content provides citable evidence.
FAQPage schema plus visible Q&A blocks. The format that most directly maps to how AI engines construct answers from source content.
Enter any URL. AIVA runs 28 rules against it instantly — no sign-up required. You'll get a scored High-Level Report right in your browser. One free run per browser. No account needed.
🍪 Free audit: One high-level AI Visibility Report, no account required. We use a session cookie to ensure the service isn't abused. No personal data is stored from this step.
After your free audit, register to unlock the full Detailed Report — or reach out to go deeper.
Every audit produces three distinct reports, each calibrated for a different audience. Clients never see the implementation tactics. Consultants never lose their edge.
Shareable link, no password. For initial client conversations and prospect outreach.
Full findings, password-protected. What clients get when they're engaged and ready to act.
The consultant's working document — everything needed to plan, execute, and prove the work.
Every other AI visibility tool solves the monitoring problem: "Are you appearing?" AIVA solves the optimization problem: "Why aren't you — and what do you fix first?" These are not competing products. They're complementary.
| Capability | LLM Monitoring Tools Semrush, Profound, Otterly | Traditional SEO Platforms Ahrefs, Moz, SE Ranking | AI Visibility Analyst AIVA |
|---|---|---|---|
| Brand mention tracking in AI answers | ✓ | Partial | — |
| Competitive share-of-voice in LLMs | ✓ | Partial | — |
| Page-level citability audit (28 rules) | — | — | ✓ |
| Deterministic, traceable scoring | — | — | ✓ |
| Content signal analysis (FAQ, schema, stats) | — | — | ✓ |
| robots.txt / AI bot access check | — | ✓ | ✓ |
| llms.txt validation | — | — | ✓ |
| Before/after optimization benchmark | — | — | ✓ |
| Implementation guidance (what to fix) | — | Partial | ✓ |
| Consultant-grade tiered reports | — | — | ✓ |
| White-label branding for agencies | — | — | ✓ |
| Built-in prospect pipeline | — | — | ✓ |
| No LLM API key required | — | ✓ | ✓ |
License AIVA and add AI visibility auditing as a complete service offering. White-label everything: your logo, your agency name, your contact info. Your clients see your brand. You deliver the results.
Upload your logo, agency name, tagline, and contact info. Every report header and footer shows your brand — client-facing reports never mention the tool behind them.
Drop the [[aiva_public_run]] shortcode on your site. Visitors run free audits, register as prospects, and you promote them to clients in one click.
The comparison report shows exactly which rules improved after your work — score delta by layer. Shareable proof-of-value for every engagement.
Live rule editing, AI-assisted bulk updates, per-rule version history. Customize the audit methodology to match your practice's standards.
Currently in controlled beta. Reach out to discuss availability, pricing, and fit for your practice.
Semrush’s AI features focus on monitoring whether your brand appears in AI-generated answers, and checking whether AI crawlers can access your site. AIVA audits the page-level content and structural signals that determine whether AI will actually want to cite you: schema markup, FAQ structure, answer density, authorship signals, and 23 more rules. They solve different problems. Most practitioners use both: Semrush tells you whether you’re appearing; AIVA tells you why you’re not and what to fix.
Ahrefs’ “AI Tech SEO” is primarily traditional SEO automation, faster indexing via IndexNow, automated meta tag fixes, technical regression monitoring. It doesn’t analyze content signals for AI citability. The name creates confusion: Ahrefs uses AI to do SEO tasks faster; AIVA optimizes for AI search engines. Different problem, different tool.
SEO optimizes for ranking in blue-link search results. AI visibility optimizes for being cited in AI-generated answers — which requires different signals: structured data AI can parse, clear authorship and publisher signals, answer-dense content, FAQ structures, and explicit AI crawler permissions. Many pages rank well on Google and score poorly on AIVA because the signals are different. AIVA is not a replacement for SEO. It’s the next layer.
No. AIVA is entirely self-contained; no OpenAI, Anthropic, Perplexity, or any other API keys required. It runs 28 deterministic rules against the page’s own content and structure. This makes it stable, predictable, and independently auditable. Results don’t change because a model was updated overnight.
No, and that’s intentional. LLM outputs vary by query phrasing, model version, context window, and day. AIVA audits the conditions that determine whether your content gets cited, not the sampled outputs of AI systems on any given day. For tracking brand mentions in AI answers, pair AIVA with a monitoring tool like Semrush or Profound. AIVA is the optimization layer; they’re the measurement layer.
Semrush tells you you’re not appearing. AIVA tells you why — and gives you a prioritized list of exactly what to fix. Most practitioners use monitoring tools to identify the problem and AIVA to drive the solution. The before/after comparison report also gives you a proof-of-work artifact that LLM monitoring tools can’t provide: a score change directly attributable to specific page changes your client paid for.
A 0–100 weighted score across 28 rules in three layers (Domain, Page, Content Core). Every point is traceable to a specific rule and a specific piece of evidence found on the page. A page scoring 61 can be re-audited after fixes to show exactly which rules improved and by how much. It’s not a black box — every number has an explanation, and you can defend it in a client meeting.
AI Search Intelligence
Practical analysis on AI search visibility: what's settled, what's still moving, and what it means for your strategy.
June 12, 2026
Most schema documentation focuses on Google rich results. But structured data (like JSON-LD schema) does something more important for AI search; it eliminates the guesswork about who produced a page and whether it should be trusted.
June 7, 2026
AI crawlers visit your site constantly but most sites have no way to tell them what the content is for or how to use it. llms.txt is a simple Markdown file that solves this. Here’s how to write one that…
June 3, 2026
A traditional SEO audit won’t tell you why your pages are missing from AI-generated responses. Here are the five signal categories that actually determine AI visibility for search and what to check in each.
I audit your website's AI visibility, tell you where you stand, and tell you exactly what to fix. You get the High-Level Report, Detailed Report, and a Master Report walkthrough — everything you need to understand the gaps and prioritize the work.
Best for: businesses, brands, and teams who want the work done for them.
Reach out with your URL and I'll respond within 24 hours.
Install AIVA on your own WordPress instance, white-label it with your brand, and deliver AI visibility audits to your clients. A complete practice-ready platform — multi-client, multi-URL, all three report tiers, prospect pipeline built in.
Best for: agencies, SEO consultants, and digital marketing practices.
Currently in controlled beta. Let's talk about fit.
A note on methodology: AI Visibility Analyst (AIVA) evaluates your website against a structured set of best-practice signals known to influence how AI systems read, parse, and cite content. Results are directional — they identify gaps and opportunities based on current evidence. Because AI models, retrieval systems, and ranking algorithms change frequently and vary by platform, no specific citation outcome can be guaranteed. AIVA helps you build the right signals; the rest follows.