FORKOFF AI Search Optimization is a multi-engine retrieval service that earns named citation for AI and Web3 founders across Bing Copilot, Google AI Overviews, Perplexity, You, and Arc Search. Corpus, schema, llms.txt, and freshness signals decide which brand each engine reaches for when buyers ask.
Five patterns we see when a brand tries to get cited across the 5 AI search engines 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 no structured Q&A, no listicles, no parasite presence, and no directory listings. AI search engines have nothing to retrieve when the buyer query lands and quietly default to whichever competitor seeded the category first.
Schema graph + 3 directory listings + 2 listicle pages + 1 parasite seed shipped in the first 30 days. Each surface earns a separate retrieval slot on the 5-engine bench.
Cited reliably in ChatGPT but invisible across Bing Copilot, Google AI Overviews, You, and Arc Search. Buyers who start the journey on the engine you skipped never meet the brand.
Cross-engine coverage rebalance. Bing-favored corpus expansion, Google AIO schema fixes, Perplexity niche-pub seeding, You listicle saturation, Arc canonical structured-answer hardening.
Crawlers from OpenAI, Perplexity, Anthropic, Google AI, and Microsoft cannot find a curated index of canonical answers. Retrieval falls back on whatever the open web indexed years ago, which is rarely the brand.
llms.txt published with curated canonical units. Markdown content negotiation enabled per route so agent traffic resolves to clean per-page MD instead of the rendered shell.
The team cannot say which queries surface the brand on which engine this week. With no 5-engine bench, model updates wipe patterns silently and the work never compounds.
20 to 40 commercial queries × 5 AI search engines × Monday scan. Citation count, position, and context logged on the audit ledger with week-over-week delta and source-mix breakdown.
Bing Copilot, Google AI Overviews, and Perplexity weight freshness heavily. Pages over 6 months old without a fresh canonical answer or original-data drop get downgraded out of the retrieval set even when they still rank on Google.
Quarterly canonical Q&A refresh on the owned domain, original-data drops every 60 days, and a parasite ladder (Medium, dev.to, HackerNoon, Substack) so the freshest answer for each buyer query carries the brand byline.
The FORKOFF AI search retainer runs on a single 90-day operating system. 5-engine baseline captured in the first two weeks. Schema, llms.txt, and the directory plus parasite seed shipped by week six. Weekly per-engine audit-ledger receipt in the founder inbox every Tuesday from week four.
Traditional SEO competes for a Google rank that buyers increasingly skip. Most AI agencies cover ChatGPT only. FORKOFF engineers the corpus, schema, and citation surface that Bing Copilot, Google AI Overviews, Perplexity, You, and Arc Search actually reach for. Canonical AEO hub sits at Answer Engine Optimization; per-platform sharpening lives at ChatGPT SEO and Perplexity SEO.
Citation baseline captured across 5 AI search engines.
Schema, llms.txt, directories, and parasite seed live.
Weekly per-engine receipt with delta math, signed by operator.
Recommended-answer status across 4 of 5 engines on priority queries.
Coverage is only counted when four signals hold every week. 5-engine bench locked, schema graph and llms.txt shipped, answer-first opener under every commercial H2, and a per-engine receipt logged every Monday. ChatGPT-only citation without the other four engines never lands on the ledger.
01 5-ENGINE BENCH
20 to 40 commercial queries scanned across all 5 engines weekly.
Bing Copilot, Google AI Overviews, Perplexity, You, and Arc Search hit every Monday. Citation count, position, and context get logged on the audit ledger. Coverage gaps surface within a week.
rule · 20 to 40 commercial queries scanned across all 5 engines weekly.
FAQ + Article + HowTo + Service + Organization shipped where retrieval rewards them. llms.txt curated for agent crawlers. Markdown content negotiation per route resolves to clean per-page MD.
rule · Schema graph valid and llms.txt curated with canonical answers.
1 to 2 sentences. Liftable as a snippet with no edit. Bury-the-lede openings get rewritten before the page ships. Engines repeat the canonical sentence the brand controls instead of paraphrasing a competitor.
rule · First sentence under every commercial H2 resolves the question.
Bing Copilot, Google AI Overviews, Perplexity, You, and Arc Search counted separately. Source mix, retrieval bias, and week-over-week delta land in the founder inbox by Tuesday. Scale call at quarter end.
rule · Per-engine citation count logged every Monday with delta math.
Three engagements across AI infra, B2B SaaS, and a Web3 protocol. AI search retainers that rewired the schema graph, shipped the directory plus parasite ladder, and reported a per-engine receipt the founder could read in two minutes. Pair the retainer with Answer Engine Optimization for the canonical hub or AI SEO for the full-stack agency wrapper.
Engine coverage on a 60-day AI search sprint with an AI infra brand. Stage 1 to Stage 4 across Bing, Google AIO, Perplexity, and You.
Days from kickoff to first 5-engine citation lift on Stage 1 to Stage 2 brands. Bing Copilot recovery after a model retrieval shift.
Monthly retainer floor. 90-day minimum, capped at 5 engagements per quarter.
You keep the schema graph, llms.txt, parasite content, directory listings, and the citation ledger.
Three routes to AI search citation. Match the engagement to the engine surface you actually need covered, the schema discipline you can sustain, and the per-engine receipt cadence you want shipped weekly.
| Feature | FORKOFF AI Search Optimization5-engine bench · weekly per-engine receipt · audit ledger | Single-engine SEO agencyChatGPT-only or Google-only · monthly vanity dashboard | DIY in-houseFounder-led · no per-engine tracker · ad hoc |
|---|---|---|---|
| Engine coverage | Bing Copilot, Google AI Overviews, Perplexity, You, Arc Search. Weekly per-engine receipt | ChatGPT only or Google only. Other engines treated as a curiosity | Whichever engine the founder noticed last week |
| Surface coverage | Owned site + 7 directories + 5 parasite hosts + Reddit + podcast transcripts + original data | Owned site only. Sometimes one parasite host | Owned site + whatever ad hoc post landed on Reddit |
| 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 |
| Measurement | 20-40 query bench × 5 engines × weekly Monday scan with delta math | Vanity SEO dashboard. Pixel-tracked impressions only | No structured monitoring |
| Speed to first lift | 30 days for Stage 1 to Stage 2 brands. 60 to 90 days for cross-engine compounding | Vague 6 to 12 months with no committed bench | Whenever something accidentally compounds |
| Pricing model | $2-3.5k sandbox audit · $4-7k/mo retainer · outcome-priced milestones | Hourly retainer regardless of result | Founder time, opportunity cost, no cap |
20 to 40 commercial queries, 5 AI search engines (Bing Copilot, Google AI Overviews, Perplexity, You, Arc Search), one cross-engine citation map. You get the gap diagnosis, source-set audit, and corpus plus freshness plan in 5 business days. If FORKOFF cannot find actionable AI search gaps, the fee gets refunded. Retainer kicks in at $4,000 to $7,000 per month after the audit lands.
AI search optimization is the multi-engine corpus, schema, and freshness engineering that determines which brand AI search engines surface in their generative answer. It is the umbrella service that covers AEO (answer engine optimization), GEO (generative engine optimization), and LLM SEO. Where SEO targets Google's blue-link ranking, AI search optimization targets the live retrieval set that Bing Copilot, Google AI Overviews, Perplexity, You, and Arc Search ground their generative answers on.
5-engine bench, schema, llms.txt, directories, and a parasite seed shipped in the first 30 days. Weekly Monday per-engine citation receipt. Outcome-priced. Scaleable up or down at quarter end. Pair the retainer with AEO, LLM SEO, or ChatGPT SEO depending on the engine surface that wins your buyer.
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