Your potential customers are asking ChatGPT for recommendations right now. Not hypothetically — right now, today, while you're reading this. Over 200 million people use ChatGPT every week, and a growing percentage of those sessions include commercial queries: "recommend a good accountant near me," "what's the best project management tool for a small team," "find me a reliable contractor in Seattle."
If your business doesn't show up in those responses, you're invisible to a growing share of commercial search. The customers don't come to your website and leave — they never arrive in the first place. They go directly to whichever competitor AI recommends.
LLM optimization software solves this problem systematically.
LLM (Large Language Model) optimization software helps businesses get recommended by AI platforms. It works by analyzing the technical and content signals that large language models use to decide which businesses to include in their responses, then generating the specific files and configurations needed to improve those signals.
The word "optimization" is doing real work in this context. LLMs don't have a simple ranking algorithm you can game. They synthesize answers from the content they can access, understand, and trust. Optimization means ensuring your website passes all three tests: accessible (crawlers can reach it), understandable (structured data gives AI confidence about what you do), and trustworthy (security signals and content quality meet the threshold for recommendation).
Faneros doesn't guess what AI platforms want. The platform actively queries all 7 major AI platforms with prompts relevant to your business, industry, and location, then analyzes the actual responses to determine who gets recommended and why.
This real-world testing — asking AI actual questions and analyzing actual answers — is combined with a comprehensive technical audit that checks every signal known to influence AI recommendations. Crawler access for 8 user agents. Schema quality across GEO-relevant fields. llms.txt presence and structure. Security header coverage. Page speed and TTFB. JavaScript rendering behavior. Content structure and heading hierarchy.
The output isn't a report telling you what to fix. It's 18 ready-to-deploy deliverables — the actual files, code, and content your site needs to be visible to LLMs. Download them. Upload them. Your AI visibility improves immediately.
Ahrefs, SEMrush, Moz, and Screaming Frog are excellent tools for Google optimization. But they were built for a search paradigm that's being supplemented by something fundamentally different. Here's what they don't do:
LLM optimization requires a different toolset because it targets a different system. The signals that Google uses to rank pages (backlinks, keyword density, page authority) overlap partially with the signals LLMs use to recommend businesses (content quality, domain trust), but the unique requirements of each system are significant enough that no single tool can cover both optimally.
Where AI recommendations narrow the field to 1-3 names per query. If you're a dentist in a city with 200 dental practices, being one of the three names ChatGPT recommends is worth thousands in monthly revenue. The winner-take-all dynamics of AI search make local optimization incredibly high-leverage.
Where trust signals heavily influence AI recommendations. Lawyers, accountants, financial advisors, consultants — AI weighs credentials, reviews, and structured authority data when deciding who to recommend for professional services. Businesses with strong credentials but poor AI visibility have the most to gain from optimization.
If people Google your industry to find a provider, they're increasingly asking AI the same questions. The migration from search to AI is gradual but directional. The businesses that optimize for both channels capture the full market. The businesses that only optimize for Google leave a growing share of leads on the table.
AI visibility monitoring from $99/month. 18 ready-to-deploy deliverables. 7 platforms. No contracts.
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