Free AI visibility audit
The free AI visibility audit shows how your brand appears across major AI answer surfaces, which competitors are being recommended instead, which prompts matter most, and what needs to change first.
You will see the pages, signals, and gaps that are most likely to affect your visibility, citations, and qualified demand.
No commitment. Clear findings. Real prompts.
WHAT YOU GET
This is not a generic checklist or an automated score. Every audit is run by LLMReach's team across your actual buyer prompts on major AI answer surfaces. Here is what you receive:
Deliverable 1
A platform-by-platform snapshot of how your brand appears across major AI answer surfaces compared with named competitors. This shows whether you are visible, weakly represented, or missing entirely for the prompts that matter most.
Deliverable 2
A list of the buyer prompts where competitors are being cited instead of you. These are the highest-value queries in your category, especially the ones buyers use when they are comparing vendors, shortlisting options, or deciding who to contact.
Deliverable 3
A view of which competitors are being mentioned most often, which URLs are being cited, and which pages are contributing to their visibility. This helps explain why AI engines may prefer one brand over another for a specific prompt.
Deliverable 4
A review of the technical signals most likely to affect whether AI engines can understand and cite your site, including llms.txt, schema markup, robots.txt settings, and entity consistency.
Deliverable 5
One specific improvement that is most likely to move the needle first based on your audit findings. The goal is to give you a clear next step, not a long list of guesses.
Deliverable 6
A practical view of what to fix now, what to fix next, and how the work connects to citations, visibility, and qualified demand over time.
HOW IT WORKS
Step 1
Pick a time that works for you and share your website URL plus a few competitors. That is enough for us to start.
Step 2
We review the prompts your buyers are asking, test the category across major AI answer surfaces, and record where you appear, where competitors appear, and which URLs are being cited.
Step 3
On the call, we explain where your brand stands, which competitors are winning visibility, which technical barriers may be blocking citations, and what needs to change first.
Step 4
You leave with a practical view of your AI visibility, the most important gaps, and a recommended next step you can act on with or without LLMReach.
WHO IT'S FOR
B2B SaaS
Your buyers use AI to compare platforms before they book demos. The audit shows which category prompts matter most and whether your brand appears when prospects ask for alternatives, best-in-class tools, or vendor comparisons.
E-commerce and DTC
AI-driven product discovery is becoming part of the research journey. The audit shows where your products appear, which competitors are being recommended instead, and what needs to change for your products to become more extractable.
Agencies and professional services
When a prospect asks AI for the best agency or service provider in your niche, the cited brand often gets the call. The audit shows whether your firm is being named and what is getting in the way if it is not.
Demand gen and growth teams
If you already see AI referral traffic in analytics, this audit helps you understand which prompts are driving it, which pages are getting the attention, and how to improve the path from AI answer to qualified lead.
Brands with SEO but not GEO
If you have strong search visibility but weak AI visibility, the audit can show the gap clearly. That usually means the site needs stronger extraction, clearer entity signals, and better answer-first page structure.
WHAT YOU'LL SEE
Here is what the audit produces.
A platform-by-platform view of how your brand appears versus competitors across the major AI answer surfaces that matter for your category.
A list of the highest-value buyer prompts where competitors are being cited instead of you.
A pass-fail review of the technical signals most likely to affect citation readiness, including llms.txt, schema, crawler access, and entity consistency.
One clear next step, prioritized from the audit findings.
A practical view of what your AI visibility could improve into over the next 90 days if the right pages and signals are updated.
REAL RESULTS
The most common reaction at the end of an AI Visibility Audit is surprise. Not because the findings are complicated, but because the gap between where a brand assumes it stands in AI search and where it actually stands is often larger than expected. Here is what audit clients often find:
The prompts with the strongest purchase intent are often the ones where brands are easiest to miss. Those are the queries buyers use when comparing vendors, evaluating alternatives, or deciding who to contact.
In many categories, a small number of competitors appear far more often than the rest of the field. That usually reflects clearer structure, stronger entity signals, or more extractable content, not necessarily a better product.
Many sites have at least one technical issue that makes citations harder than they need to be. Missing llms.txt files, blocked crawlers, weak schema, or inconsistent entity signals can all get in the way.
Many brands already receive AI-referred visitors, but the traffic is not always labeled clearly in analytics. The audit helps connect visibility with the traffic that is already arriving.
The case study
AI visibility foundation rebuildA real example of how a brand's AI search foundation was rebuilt around prompts, content structure, technical AEO, and citation readiness.
The Nexum Automations case study shows how LLMReach turns AI search uncertainty into a measurable visibility system.
See the full case studyCOMMON QUESTIONS
Yes, AI search is already influencing buying behavior.
Google rankings and AI citations are not the same thing.
The audit is free, so there is no risk in seeing the data.
Every finding is based on live prompt testing.
If a previous GEO effort did not work, the methodology likely needs to change.
FAQ
Yes. The audit is completely free and carries no obligation. It is meant to show you where your brand stands in AI search and whether GEO is worth pursuing for your business.
You get an AI visibility baseline, a prompt-level gap map, competitor citation intelligence, a technical AEO check, one highest-impact opportunity, and a clear set of next steps.
Just your website URL and a few competitors. We handle the prompt testing and analysis.
The call is short and focused. We use it to walk through the findings, explain the gaps, and show you what to fix first.
The findings are shared after the audit is complete and reviewed with you on the call.
The audit focuses on the major AI answer surfaces that matter for buyer research, including ChatGPT, Claude, Perplexity, and Gemini.
You leave with a clearer picture of your AI visibility and a prioritized recommendation. If a GEO engagement makes sense, we can explain the next step. If it does not, you still keep the audit insights.
The audit is for founders, marketing leaders, and growth teams that know buyers are using AI to research vendors, services, or products before they contact sales.
Yes. The findings are easy to share with leadership, marketing, or sales teams because they focus on prompts, competitors, pages, and next steps.
The audit is based on live prompt testing, so the same prompts can be tested independently in the relevant AI platforms.
GET STARTED
Pick a slot, provide your website URL and two or three competitor names, and LLMReach will do the rest.
No commitment. Clear findings. Practical next steps.
Prefer to reach us directly before booking?
Not ready to book yet? See the case study first.
See the full case studyLEARN MORE
AI Visibility Strategy & Content Engineering
The service that addresses content and prompt gaps found in the audit
Technical AEO Infrastructure
The service that fixes the technical barriers the audit identifies
AI Mention Tracking & Optimization
The ongoing tracking service that measures and compounds your citation gains after the audit
How AI engines decide what to cite
The technical logic behind why some brands get cited and others do not
Case study: AI visibility foundation rebuild
A real example of how a brand's AI search foundation was rebuilt around prompts, content structure, technical AEO, and citation readiness.
AI search statistics 2026
The data behind AI-driven buyer behavior and why AI visibility matters now