LLM SEO Services — Optimize for AI Models That Recommend Businesses
LLM SEO is optimizing for large language models that recommend businesses based on training data, live retrieval, and citation graphs — not traditional blue-link rankings. AIrecommend.ai samples buyer-intent prompts across six platforms, reports share of AI voice, and runs eight Growth Engine modules to improve what models read.
LLM SEO in 2026: what actually moves mention rates
"LLM SEO" entered the lexicon as businesses noticed ChatGPT and Perplexity recommending competitors by name. Traditional SEO dashboards still showed green arrows while AI answers ignored you entirely.
LLM SEO addresses that gap. It is the discipline of making your business easy for language models to represent accurately when users ask natural-language hiring questions.
That is not keyword stuffing. Models do not read your meta keywords. They aggregate:
- Review volume, rating, and recurring praise themes
- Directory and map listings with matching name, address, phone
- Entity graphs connecting your business to services and geography
- Pages with sourced, quotable facts
- Third-party citations models trust
The umbrella term: AEO, GEO, and LLM SEO together
Searchers use different phrases. Practitioners should not fight over taxonomy.
| Term | Emphasis |
|---|---|
| LLM SEO | Any large language model recommending businesses |
| AEO | Answer engines — direct responses, AI Overviews |
| GEO | Generative synthesis — ChatGPT, Gemini, Claude |
AIrecommend.ai delivers one stack because the inputs are shared. Whether a buyer searches "LLM SEO services" or "AEO agency," they need measurement, honest reporting, and module-based fixes.
Deep dives: What is AEO? · AEO vs GEO vs SEO.
Technical LLM SEO: llms.txt, schema, robots
Models and crawlers benefit from machine-readable facts. Our Entity Profile module ships:
llms.txt— plain-text business summary (services, service area, credentials, canonical URLs)- JSON-LD — LocalBusiness or specialized schema with verifiable fields
- Robots hygiene — ensure helpful paths are crawlable; block only what you must
Implementation guide: llms.txt, schema, and robots checklist.
Technical files alone do not replace reviews and listings. They make correct facts stickier when models ground on your domain.
Growth Engine modules as LLM SEO levers
Each module closes a class of signal gap:
- Review Engine — ethical review requests; response drafts you approve
- Google Business Autopilot — weekly posts and Q&A (Dominance)
- Listings + Apple Business Connect — NAP sync across ecosystems
- Entity Profile — About copy, llms.txt, schema pack
- Data Studies — public datasets → citable stats (Dominance)
- Press Wire — releases from verified hooks only (Dominance)
- Awards & Features — merit-based; no pay-to-play (Dominance)
- AI Accuracy Repair — wrong facts traced and fixed with approval (Dominance)
How AI assistants choose businesses explains weighting at a strategy level.
Measurement: share of AI voice
LLM SEO success metrics differ from rankings:
- Mention rate — % of sampled prompts naming you
- Share of AI voice — your mentions vs competitors in the same market
- Platform blind spots — engines where you are invisible
- Super Pixel attribution — booked jobs from AI-referred traffic
We track six platforms in the free scan and monthly on paid tiers. See AI visibility tracking.
What we will not do
- Guarantee #1 placement in any LLM
- Gate reviews or violate platform policies
- Publish press without a real hook
- Buy pay-to-play "best of" badges
- Auto-post without your approval
Get started
Run the free six-platform scan. Compare competitors, see module-mapped fixes, share the report with your team.
Ongoing LLM SEO programs: pricing — Growth $4,997/mo, Dominance $9,999/mo. Optional add-ons: Social Autopilot and Convert Chat for firms wanting social and chat automation alongside visibility work.