LLMO
LLMO Agency for US Companies
AY Rank runs LLM optimization as an infrastructure and evidence problem, not a content calendar: fixing the crawler access, schema, and source signals large language models use to describe and recommend your brand.
AI visibility stack
USA
Perplexity
Gemini
ClaudeChatGPT, Perplexity, Gemini, Claude, and AI Overviews.
Audit, implementation map, and priority fixes in one focused cycle.
Buyer questions mapped to pages, sources, and competitors.
Who this is for
Built for revenue teams that need AI search to become measurable.
US teams evaluating LLMO as a distinct line item from traditional SEO, who want one implementation partner across every major model.
Turn LLMO from a buzzword into a measurable system: prompt tracking, entity graphs, and source authority built for how LLMs actually select what to cite.
Treats LLMO as the same underlying discipline as GEO, so the site never has to choose which term to optimize for; both point at one measurable system.
Maps ChatGPT, Gemini, Claude, and Perplexity prompts to target pages, proof assets, and source gaps in a single tracking sheet.
Prioritizes machine-readable trust signals (entity graphs, schema, source validation) over prompt-injection tricks that do not survive a model update.
Real Results
Not a projection. What actually happened.
B2B Marketplace
“The marketplace category is brutal. Incumbents have a 20-year head start in SEO. AY Rank found the asymmetry: we could not outrank them on Google in 12 months, but we could leapfrog them in AI search in 6. That is exactly what happened.”
Oloom
Read the full case studyE-commerce / Consumer Electronics
“We launched a brand new domain into one of the most competitive categories in consumer tech. Eight months later we are doing $36K MRR with zero paid ads, every dollar attributable to organic and AI search. AY Rank built our visibility from scratch.”
Wearview
Read the full case studyWhat AY Rank fixes
The machine-readable trust layer behind AI recommendations.
These are the implementation layers that make your brand easier to crawl, parse, validate, cite, and recommend across answer engines.
Crawler and indexation access
Audit robots.txt, sitemap inclusion, canonicals, noindex rules, redirects, and AI crawler policy.
Machine-readable entity graph
Connect Organization, WebSite, WebPage, Service, FAQ, Article, and Person schema with stable IDs.
Citation-ready page structure
Restructure priority pages with direct answers, FAQs, comparison tables, proof blocks, and source links.
Third-party source graph
Map listicles, directories, reviews, and comparison pages that AI engines use when recommending vendors.
Deliverables
A practical backlog, not a vague AI strategy deck.
Each deliverable ties back to a page, prompt, schema, crawler policy, source, or measurable visibility gap.
AI crawler access matrix
Sitemap and canonical cleanup plan
llms.txt priority URL map
JSON-LD entity graph recommendations
Page-specific OG image and metadata map
Prompt visibility baseline
Listicle and directory outreach target sheet
30-day implementation backlog
Related paths
Keep the source graph connected.
These pages reinforce the same entity, service, city, and industry signals for AI search systems and human buyers.
More AY Rank USA services
FAQ
Is this only traditional SEO?
No. AY Rank keeps the SEO foundation, but the work is designed for AI search extraction, source selection, entity clarity, and prompt-level visibility.
Which AI platforms does AY Rank optimize for?
AY Rank optimizes for ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot by improving crawler access, structured data, content format, and third-party source signals.
What happens in the first month?
The first month establishes the baseline, fixes the highest-risk technical issues, builds the machine-readable trust layer, and creates the next implementation backlog.
See Where Your Business Stands in AI Search. Then Move.
Drop your details and we'll review your business, look at where AI engines surface (or skip) you, and come back with the visibility gaps we see and what we can do to close them.
- →A review of your business and how AI engines currently surface (or skip) you
- →A read on the visibility gap between you and the competitor AI cites today
- →Suggestions on what we can improve to lift your AI search presence
- →A tailored next step, shaped around your business and category
One client per category per market. Once we start working with you, your category is closed to direct competitors.
