FORKOFF LLM SEO is a citation-engineering service that earns AI and Web3 founders the named brand inside ChatGPT, Claude, Perplexity, and Gemini. Schema, llms.txt, parasite ladder, and answer-first corpus decide which brand each model selects when buyers ask.
Five patterns we see when a brand tries to get retrieved by ChatGPT, Claude, Perplexity, or Gemini and the work stalls inside the first quarter. Each row is the FORKOFF fix. Read it before you book the audit call.
The owned site has not shipped a fresh canonical answer in six months. LLMs retrieve whichever third-party article last covered the category, and that article is rarely from the brand.
Quarterly canonical Q&A refresh on the owned domain plus a parasite ladder (Medium, dev.to, HackerNoon, Substack) so the freshest LLM-trusted source for the buyer query carries the brand byline.
The team cannot say which queries surface the brand inside ChatGPT, Claude, Perplexity, or Gemini this week. Without a weekly scan there is no signal that work is compounding.
FORKOFF runs a 20 to 40 query bench across 4 LLMs every Monday. Citation count, position, and source-mix get logged on the audit ledger with week-over-week delta in the founder inbox by Tuesday.
FAQ schema sits on the wrong page. Article schema mislabels the author. Service schema is missing entirely. LLMs downgrade or skip the canonical unit at retrieval time.
Schema graph audited against Google Rich Results, Bing structured data, and Schema.org validators. FAQ + Article + HowTo + Service + Organization shipped where each one earns retrieval weight inside the LLM corpus.
Crawlers from OpenAI, Anthropic, Perplexity, and Google AI cannot find a curated index of the brand's canonical answers. Retrieval falls back to whatever the open web indexed years ago.
llms.txt published with curated canonical units. Markdown content negotiation enabled per route so agent crawlers resolve to clean per-page MD instead of the rendered shell.
Buyer-intent posts open with three paragraphs of preamble. The LLM never reaches the canonical sentence at retrieval time. The page ranks on Google but is invisible inside ChatGPT.
Answer-first rewrite on every commercial page. First sentence under each H2 resolves the question in 1 to 2 sentences. Liftable as a snippet with no edit. LLMs repeat the canonical sentence the brand controls.
The FORKOFF LLM SEO retainer runs on a single 90-day operating system. Citation baseline captured in the first two weeks. Schema, canonical Q&A, and llms.txt shipped by week six. Weekly audit-ledger receipt in the founder inbox every Tuesday from week four.
Generic SEO competes for a Google rank that buyers increasingly skip. AI content shops ship more prose into a corpus the four major LLMs never retrieve. FORKOFF engineers the structured unit, schema, and citation surface that ChatGPT, Claude, Perplexity, and Gemini actually repeat. Cluster hub sits at Answer Engine Optimization; per-platform sharpening lives at ChatGPT SEO and Perplexity SEO.
Citation baseline captured across 4 LLMs.
Schema, canonical Q&A, llms.txt, parasite seed live.
Weekly citation receipt with delta math, signed by operator.
Default-answer status on priority commercial queries.
A citation is only counted when four signals hold every week. Brand corpus indexed by all 4 LLMs, llms.txt curated, answer-first opener under every H2, and a receipt logged across the bench. Vanity blue-link rank without LLM retrieval lift never lands on the ledger.
01 CORPUS
Brand corpus indexed by all 4 LLM retrieval graphs.
ChatGPT, Claude, Perplexity, Gemini. Owned site + parasite ladder + directory listings + community surfaces all crawled, validated, and resolving to clean per-page MD when the engine asks for markdown.
rule · Brand corpus indexed by all 4 LLM retrieval graphs.
OpenAI, Anthropic, Perplexity, and Google AI crawlers find a curated index, not a rendered shell. Markdown content negotiation per route resolves agent traffic to clean per-page MD instead of the React bundle.
rule · Agent-first surface published with curated canonical answers.
1 to 2 sentences. Liftable as a snippet with no edit. Bury-the-lede openings get rewritten before the page ships. LLMs repeat the canonical sentence the brand controls, not the third-party article that buried it.
rule · First sentence under every H2 resolves the question.
ChatGPT, Claude, Perplexity, and Gemini scanned every Monday. Citation count, position, context, source mix, and week-over-week delta land in the founder inbox by Tuesday with the operator signature.
rule · Weekly citation count logged across 4 LLMs with delta math.
Three engagements across AI infra, B2B SaaS, and a Web3 protocol. LLM SEO retainers that rewired the schema graph, shipped the parasite ladder, and reported a weekly receipt the founder could read in two minutes. Pair the retainer with AI Search Optimization for top-of-funnel coverage or AI SEO for the full-stack wrapper.
3-LLM coverage in 60 days on an AI infra brand. Stage 1 to Stage 4 across ChatGPT, Claude, and Perplexity.
Days to recover citation rank after the GPT-4 to GPT-4o model update on a B2B SaaS roster brand.
Monthly retainer floor. 90-day minimum, capped at 5 engagements per quarter.
You keep the schema graph, llms.txt, parasite content, and citation ledger.
Three routes to LLM citation. Match the engagement to the surface you actually need retrieved, the schema discipline you can sustain, and the audit-ledger cadence you want shipped weekly.
| Feature | FORKOFF LLM SEOCorpus-anchored · 4-LLM scan · weekly audit ledger | Generic SEO agencyBlue-link ranking · monthly vanity dashboard | DIY in-houseFounder-led · no per-LLM tracker · ad hoc |
|---|---|---|---|
| Surface focus | LLM retrieval graph first. ChatGPT, Claude, Perplexity, Gemini. Blue-link rank is downstream, not the goal | Google blue-link rank only. LLM citation treated as a curiosity, not a surface | Whichever surface the founder noticed last week |
| Schema discipline | FAQ + Article + HowTo + Service + Org graph, validated against Google + Bing every deploy | FAQ schema on a few pages, sometimes | Whatever the CMS shipped by default |
| llms.txt and agent surface | Curated llms.txt + per-route Markdown negotiation. Agent crawlers resolve to clean per-page MD | Not on the radar | Not published |
| Answer-first copy | First sentence under every H2 is a 1-2 sentence liftable answer. Audited on every page | Bury-the-lede openings written for keyword density | Answer-first when the founder remembers |
| Per-LLM monitoring | 20-40 query bench × 4 LLMs × weekly Monday scan with delta math | Vanity SEO dashboard with pixel-tracked impressions | No structured monitoring |
| Audit-ledger receipts | Citation count, position, context, source mix, delta. Signed weekly by the operator | Quarterly board deck with rank screenshots | Anecdotal screenshots when something happens |
| Pricing model | $1.5-3k sandbox audit · $3.5-6k/mo retainer · outcome-priced milestones | Hourly retainer regardless of result | Founder time, opportunity cost, no cap |
20 to 40 commercial queries, 4 LLMs (ChatGPT, Claude, Perplexity, Gemini), one citation graph. You get the gap diagnosis, source-set map, and parasite plan in 5 business days. If FORKOFF cannot find actionable retrieval gaps, the fee gets refunded. Retainer kicks in at $3,500 to $6,000 per month after the audit lands.
LLM SEO is the corpus engineering layer underneath Generative Engine Optimization. The schema, canonical Q&A, structured comparisons, llms.txt, and parasite-host placement work that determines what ChatGPT, Claude, Perplexity, and Gemini retrieve about a brand at inference time. Where SEO targets Google's ranking algorithm, LLM SEO targets the retrieval graph the four major LLMs ground their answers on.
Schema, canonical Q&A, llms.txt, and parasite ladder shipped in the first 30 days. Weekly Monday citation receipt across 4 LLMs. Outcome-priced. Scaleable up or down at quarter end. Pair the retainer with AEO, GEO, or ChatGPT SEO depending on the LLM that wins your buyer.
ETH NYC 2026 hits June 8 to 14 (ETHConf + ETHGlobal NY). The 3-week activation playbook that lifted sponsor day-30 dev activations 8.9x across 11 audited teams.
Read
Step-by-step Twitch clipping for desktop, mobile, and OBS plus the vertical re-cut workflow that earns qualified views off-platform.
Read
Compare the 9 best AI video editors of 2026 on pricing, qualified-view economics, audit ledger, and ICP fit. Apply now to test the managed lane.
Read
