LLM Seeding is the active practice that feeds language models — ChatGPT, Claude, Grok, DeepSeek — so your brand appears in their answers. Not monitoring. Not recycled SEO. A new discipline, born in 2025, that addresses one single problem: buyers no longer type into Google, they ask an AI.
- LLM Seeding: practice that generates natural conversations so your brand gets retrieved by LLMs.
- Not SEO: LLMs don't index — they infer. Backlinks and keyword density are irrelevant.
- Not monitoring: observing visibility doesn't create it. LLM Seeding acts.
- 4 models: ChatGPT, Claude, Grok, DeepSeek. Always all 4, in that order.
- 14-day warm-up: ramp-up period, identical across all plans.
- Cruising speed: continuous feed as long as the subscription is active.
Definition: what is LLM Seeding?
LLM Seeding (or active GEO): practice of broadcasting a brand signal into the retrieval layer of LLMs, by generating natural conversations around a semantic cluster, until the brand is cited in response to questions in that category.
Three elements define it:
- 01Semantic clusterA set of variants and reformulations around a purchase intent — not a single keyword. Example: "best moisturizer for sensitive skin" generates 30 to 80 variants that Rankfeed feeds in parallel.
- 02Continuous feedSeeding is not a one-shot. It maintains a constant stream of conversations so the brand stays in retrieval, model after model, release after release.
- 03Four target modelsChatGPT, Claude, Grok, DeepSeek. No official API used — everything runs through a conversational system developed in-house to respect platform terms of service.
Why now: the search shift by the numbers
Search is shifting. Not tomorrow — now. B2B buyers and DTC consumers are stopping clicking and starting asking.
How does LLM Seeding work?
Four steps, in order. This is the exact mechanics of the Rankfeed product.
- 01ConnectYou submit your URL. We crawl your public pages (up to 5,000) to extract your positioning, products, and implicit competitors. The brand profile that will drive the feed is generated in ~2 minutes.
- 02ValidateWe propose a semantic cluster: 30 to 80 searches per language, inferred from your profile. You validate, modify, remove. You keep editorial control.
- 03FeedFor 14 days, Rankfeed generates natural conversations around your searches across the 4 models. This is the warm-up. No injection, no scraping, no jailbreak.
- 04CruiseAt day 14, the feed shifts to cruising speed: intensity maintained, citations stabilized, continuous presence as long as the subscription is active.
LLM Seeding vs SEO vs AI monitoring
Three disciplines, three logics. Mixing all three is the recurring trap for teams new to GEO.
Many teams still apply an inadequate SEO vocabulary to GEO: keyword density, backlink profile, schema markup as a primary lever. LLMs don't index — they infer from retrieval. The only lever that matters is presence in that retrieval. That's what LLM Seeding creates.
Do's and don'ts
LLM Seeding: the fundamentals
Use cases by ICP
Three profiles, three approaches. All get results, but not at the same pace or with the same cluster.
- 01SaaS B2BGoal: appear in shortlists generated by ChatGPT when a buyer asks "what tool for [business problem]". Cluster centered on the category + sector comparisons.
- 02DTC e-commerceGoal: not disappear when a consumer asks Claude "best product for [need]". Cluster centered on product characteristics + use cases.
- 03Local SMBGoal: surface when a prospect asks ChatGPT "[service] near [city]". Cluster centered on geographic area + specialties.
What LLM Seeding is NOT
Editorial honesty. Three things the market would like it to be, but it isn't:
- +An action discipline to create visibility in LLMs
- +A transparent practice, based on natural conversations
- +A complement to classic SEO (which remains useful on Google)
- −A hack to manipulate models' internal weights
- −A measurement system or passive visibility dashboard
- −A guarantee of top 1 in all answers (nothing guarantees that)
FAQ
Go further
Three reads to follow up:
- AI monitoring vs active LLM Seeding — why measuring is never enough.
- Why SEO is no longer enough in 2026 — the search shift by the numbers.
- 7 levers to appear in ChatGPT — the tactical version of this guide.
To move to execution: the step-by-step mechanics are documented on the How it works page, and plans are on the Pricing page.