TL;DR: The $197 LLMRadar Audit replaces 2-4 hours of manual AI visibility testing, tells you exactly which pages to fix before spending on new content, and delivers citation lift in 5-14 days rather than 6-12 months. Three specific outcomes below with numbers attached.
Is $197 worth it?
That is the honest question before you spend anything. Here are three outcomes buyers report, with the math behind each one.
Outcome 1: You recover 2-4 hours of founder time per month
Testing AI visibility manually means opening ChatGPT, Perplexity, Claude, and Gemini one tab at a time, running 10-15 buyer queries in each model, copying the responses, comparing which pages got cited versus ignored, and tracking the results somewhere you will want to update in two weeks when the answers change.
That is a conservative 2-4 hours each time you run it. At a $200/hr consulting rate, three hours of manual AI visibility testing costs $600 in founder time.
The LLMRadar Audit runs the same 40+ query variations across four models, delivers the full citation report within 48 hours, and costs $197.
The math: $197 for the audit versus $600 in founder time to run the same test manually. If you check your AI visibility more than once a quarter, the audit pays for itself on the second test you do not have to run.
Outcome 2: You know which pages to fix before spending on new content
The most expensive AI visibility mistake we see is publishing more content without knowing which pages are already being ignored by AI retrieval systems.
If three of your buyer-facing pages are getting cited and two are not, the right move is to diagnose and fix the two underperforming pages first. Publishing a fourth page before fixing the two broken ones means you now have three underperforming pages instead of two.
The audit identifies which pages have citation gaps and why. Common findings: missing FAQPage schema, mismatched canonical tags, gaps in your llms.txt, or content that answers post-purchase questions instead of pre-purchase ones.
Once you know which pages are underperforming, you can brief a specific fix rather than adding volume to a funnel that already leaks.
A content agency brief costs $500-2,000 for the brief plus execution. Knowing which two pages to brief before spending that money saves at minimum one wasted brief. The audit is a targeting instrument, not another content deliverable. It tells you where to aim before you spend.
Outcome 3: Citation lift in 5-14 days, not 6-12 months
The most common objection to AI visibility work is that organic content takes months to build authority. That framing applies to building search authority from scratch. It does not apply to fixing a retrieval signal that is already broken on a page that already exists.
When the audit finds a missing FAQPage schema on a buyer-facing page, adding the schema takes 2 hours of implementation. Once the fix deploys, AI retrieval systems begin re-crawling your content within days. Citation appearance lag after a structured data fix is typically 5-14 days for frequently crawled domains.
Compare that to the alternative: if you decide to build AI visibility by producing more content, you are looking at 6-12 months to accumulate enough authority for AI systems to start citing your brand consistently. That timeline is accurate for building authority from nothing. It is not the timeline for repairing a signal that already has the content behind it.
The two approaches are not competing. You need both. But if your buyer-facing pages already exist and they are not getting cited, the fix is 5-14 days. Publishing more pages is 6-12 months. The audit tells you which pages need the fix so you can start the faster clock immediately.
What the audit covers
The LLMRadar Audit tests your brand across 40+ buyer query variations on ChatGPT, Claude, Gemini, and Perplexity. The report covers five areas: citation rate, answer presence, FAQPage schema implementation, canonical URL alignment, and brand sentiment in AI-generated responses.
You receive the full report within 48 hours. The report includes specific findings for each tested page and prioritized fix recommendations with effort estimates.
Find the audit at operatoriq.io/tools/. The report delivers to your inbox within 48 hours.
If you want the AEO implementation playbooks and citation repair frameworks as a self-serve reference alongside the audit findings, the Annual Library includes all 12 blueprints at $497.
Stop guessing which pages are invisible to AI search.
The $197 LLMRadar Audit runs 40 query variations across ChatGPT, Perplexity, Claude, and Gemini. You get citation rate vs mention rate, the specific gaps by query type, and a prioritized fix list. Delivered in 48 hours.
Get the LLMRadar Audit — $197Results in 48 hours · No subscription · One-time fee
Frequently asked questions
What does the $197 LLMRadar Audit include?
The LLMRadar Audit tests your brand across 40+ buyer query variations on ChatGPT, Perplexity, Claude, and Gemini. The report covers citation rate, answer presence, FAQPage schema implementation, canonical URL alignment, and brand sentiment in AI responses. You receive the full PDF report within 48 hours with specific fix recommendations for each tested page and effort estimates for each fix.
How quickly will I see citation lift after implementing the audit findings?
Citation lift after a structured data fix typically appears in 5-14 days on frequently crawled domains. AI retrieval systems update their cached view of your content after a fix goes live. Spot-check Perplexity at the 7-day and 14-day marks. If there is no change after four weeks, the audit report identifies the next layer to check.
Is the $197 audit worth it if my site is small or less than six months old?
Yes, with one clarification. If your site has at least 5-10 buyer-facing pages, you likely have fixable citation gaps the audit will find. If your site is brand new with fewer than 5 pages, the highest-leverage move is building the foundational structure correctly first, which is what the Annual Library covers at $497.
What is the difference between the $197 audit and the $497 Annual Library?
The $197 LLMRadar Audit is a diagnostic: it tells you what is broken and what to fix on your specific site. The $497 Annual Library is 12 implementation blueprints covering AEO structure, citation repair, and structured data. Most buyers run the audit first, then use the Library to run the fixes. The two products work in sequence.
What do I need to provide to start the LLMRadar Audit?
Your domain URL and the email address where you want the report delivered. No login, no integrations, no access to your analytics or CMS is required. The audit runs against the publicly visible version of your site using the same path AI retrieval systems use.
Christine Johnson is the founder of OperatorIQ. The LLMRadar Audit methodology has been run across 50+ B2B SaaS sites in B2B software, sales enablement, and marketing automation categories.