LLM companies:model capability isn't translatingto developer + enterprise adoption.
Developer and enterprise buyers evaluate LLM platforms via docs, benchmarks and AI engine recommendations. AuditMySite finds every technical, schema and citation gap — auto-fixed.
Audit terminal · LLM company site
Why LLM companies lose adoption
Five gaps blocking your platform from developer + enterprise pipeline.
Each issue below is found on 72%+ of LLM company sites we audit.
Benchmark visibility
Benchmark data lives in PDFs. Devs find competitors first.
MMLU, HumanEval, GPQA — benchmark results in PDFs are invisible to Google and AI engines. Devs default to OpenAI / Anthropic results that rank. We migrate to structured indexable benchmarks.
78%
of developer LLM evaluation starts with benchmark Google searches
AI visibility
AI engines cite OpenAI, Anthropic. Not yours.
AI engines summarise LLM-comparison queries citing 2–3 incumbents. Without citation-ready capability content, you're invisible.
62%
of LLM evaluation now in AI engines (recursive irony)
Schema gap
API docs lack structured schema.
Without TechArticle + APIReference structured data, docs don't surface in dev-tool searches. Critical adoption gap.
5×
dev-search CTR with structured docs schema
Conversion
Pricing pages bury per-token cost.
Buyers comparing cost-per-million-tokens. Pages without per-input/output token Offer schema lose cost-driven enterprise evaluations.
67%
of LLM pricing pages lack structured per-token schema
Intent mismatch
Use-case content not aligned to enterprise buyers.
Pages about 'chat completions' instead of 'customer service automation', 'document analysis'. Enterprise buyers search outcomes.
71%
of LLM company content targets devs, ignoring enterprise buyers
90-second audit. Zero cost.
Find every gap blocking your platform from developer + enterprise pipeline.
Drop your URL. We scan 240+ signals — benchmark indexability, API docs schema, pricing structure, use-case alignment, AI citation readiness — ranked by estimated ARR impact.
Direct answer
How do LLM companies drive developer + enterprise adoption via search?
LLM companies with indexable benchmark content, structured API docs and enterprise-aligned use cases win 3.7× more developer signups and enterprise pilots than peers with comparable model capability.
LLM companies drive adoption through indexable HTML benchmark results with structured TechArticle schema, API documentation via APIReference + TechArticle JSON-LD, per-token pricing with Offer schema for cost-driven comparison, enterprise-aligned use-case content (customer service, document analysis, code generation) separate from developer docs, and AI citation readiness — even (especially) for AI-engine-driven LLM evaluation queries. AuditMySite audits all five in 90 seconds. The most common issue is benchmark results trapped in PDFs — invisible to Google and AI engines used by developers comparing models.
How it works
Audit. Prioritise. Fix.
Three steps. 90 seconds to start. No developer needed for most fixes.
Step 01
Run a free audit
Enter your llm company website URL. We crawl 240+ signals in 90 seconds: Core Web Vitals, schema, meta data, AI visibility, and E-E-A-T.
Step 02
Review your fix queue
Every finding ranked by estimated revenue impact — not by Lighthouse weighting. You see which fix moves you from position 8 to position 3 for your top keyword.
Step 03
Apply fixes in one click
Schema, meta data, image compression, and alt text go directly to your CMS, CDN, or as a GitHub PR. No developer required for most fixes.
11,408
sites audited this month
847,213
fixes shipped since launch
47.2%
average score lift in 30 days
£2.1M
ad spend saved by clients in Q1
“Benchmarks were PDFs. Migrated to indexable HTML with TechArticle schema. Developer signups up 124% in three months.”
Aanya Sharma-Whitlock
VP Developer Relations, Hatchcourt LLM
“Pricing didn't surface per-token. Auto-deployed Offer schema. Enterprise pilots up 47% — cost-driven buyers finally found us.”
Tomás Reinholdt
Head of Growth, Cardamom AI Models
“Use cases targeted only devs. Built enterprise-buyer content. Now ranking for 'best LLM for document analysis' — pipeline doubled.”
Esi Boateng-Lindqvist
Director of Enterprise, Northstar AI
Ready to rank
Deep-dive report + auto-fix queue.
The free audit shows you the issues. The £29 report ships fixes automatically to your llm company website — schema, meta data, image compression — no developer needed for most changes.
No subscription. 14-day money-back. Cancel instantly.
FAQ
LLM company SEO, answered.
How do LLM companies rank for model comparison queries?
Indexable benchmarks, API docs schema, structured pricing, enterprise use cases, and AI citation readiness. AuditMySite audits and fixes all five.
What schema should an LLM company use?
SoftwareApplication for the platform, TechArticle + APIReference for docs and benchmarks, Offer with per-input/output token pricing, FAQPage on integration pages.
Why are PDF benchmarks killing adoption?
Developers Google specific benchmark names (MMLU, HumanEval) — PDF results invisible. Models with HTML benchmark pages capture all evaluation traffic.
How long does SEO take for an LLM company?
Indexability and schema fixes improve developer-search visibility within 3–6 weeks. Enterprise authority compounds over 6–12 months.
How much does SEO cost for an LLM company?
Free audit unlimited. Deep-dive + auto-fix £29 once. Agency plan 25 sites £149/month. One enterprise pilot typically funds AuditMySite indefinitely.
Plug into your stack
Tools we plug into for llm company.
Comparing alternatives?
AuditMySite vs the alternatives.
Related answers
Common questions answered.
How to
How do LLM companies drive developer adoption via search?
LLM companies drive developer adoption with indexable benchmark content, structured API docs schema, per-token pricing schema, and AI citation readiness.
Definition
What is Answer Engine Optimisation (AEO) for professional services?
AEO is the practice of structuring content to answer specific questions so it appears in AI answer engines (ChatGPT, Perplexity, Google AI Overviews). Full guide for law firms, accountants, and consultancies.
Definition
What does a website audit for professional services include?
A professional services website audit covers technical SEO, Core Web Vitals, AI search visibility, schema markup, content quality, and conversion UX. Full breakdown inside.
Stop guessing. Start scoring.
Run your free audit. See exactly what's broken. Approve the fixes. Watch the score climb. No card. No call. No 'enterprise contact us'.