Probe 5 commercial queries across 3 LLMs in one pass. Get a citation map, sentiment classification, and a 90-day Generative Engine Optimization sprint recommendation calibrated against the FORKOFF qualified-view bench.
Outcome-priced · audit ledger weekly · AI + Web3 lanes both supported
Free to use, no attribution required (link-back appreciated). Default height is 1100px — adjust to fit your layout.
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></iframe>Most SEO tools tell you Google's answer. Most LLM trackers stop at one model. FORKOFF probes the citation graph all three retrieve from.
Three steps tied to the same audit-ledger methodology that runs every FORKOFF qualified-view campaign. Same bench across AI startups and Web3 protocols.
ChatGPT, Perplexity, Claude. Five high-intent commercial queries you actually care about. The probe captures the full natural-language response, not just an embedded citation list.
15
Query × LLM pairs per check.
For each pair: was the brand cited, in what position relative to competitors, what was said about it, and is the sentiment positive, neutral, negative, or absent. Visibility score 0-100 + grade band.
0-100
Visibility score across all probes.
Output a concrete sprint: which directory listings to target, which parasite hosts to publish on, which comparison pages to ship, which schema gaps to close. Outcome-priced execution with weekly citation-lift reporting.
90 days
Default sprint window. Calibrated, not estimated.
The first research pass for any commercial query has shifted from a search engine to a chat interface. ChatGPT, Perplexity, and Claude do not surface ten blue links. They synthesize an answer and cite a small set of sources. If the brand is not in that cited source set, the buyer never sees it.
This is a different surface from Google SEO. LLMs ground answers on a different citation graph: directories, listicles, comparison pages, parasite SEO posts, structured FAQ schema, third-party endorsements. A brand can rank position one on Google and still be functionally invisible in ChatGPT. The checker is the read tool for that surface; Generative Engine Optimization is the write tool.
forkoff.xyz dog-foods this. Self-audit 2026-05-04: 3 LLM hits across 24 commercial queries. Outcome-priced GEO sprint kicked off the same week.
Three ways to read your brand's surface. Only one ties the read to a write surface (Generative Engine Optimization) anchored on outcome-priced execution and a weekly citation-lift ledger.
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| Feature | FORKOFF AI Search VisibilityCitation map · sentiment · GEO recommendation | Generic SEO audit toolBacklinks · on-page · SERP rank | Manual ChatGPT spot-checkFree · ad-hoc · no benchmark |
|---|---|---|---|
| Probes ChatGPT, Perplexity, Claude | Yes, all three | No (Google only) | Manual, one at a time |
| Citation position scoring | Yes, per-query position rank | N/A | Eye-balled |
| Sentiment classification | positive / neutral / negative / absent | No | No |
| GEO sprint recommendation | Yes, anchored on absent queries | No | No |
| Audit ledger benchmark | FORKOFF qualified-view bench | N/A | N/A |
| Pricing | Free v1 demo, audit by application | $99-499/mo SaaS | Free, your time |
| Outcome-priced execution path | Yes, weekly citation-lift ledger | No | No |
It probes a brand against ChatGPT, Perplexity, and Claude on 5 high-intent commercial queries (e.g. 'best AI marketing agency', 'top GEO agency 2026'). For each query × LLM pair, it records whether the brand was cited, in what position, what was said about it, and the sentiment of the mention. The tool then aggregates the results into a visibility score (0-100), a grade band, and a 90-day GEO sprint recommendation tied to the queries where the brand is absent.
The 90-day Generative Engine Optimization sprint the tool maps onto. Outcome-priced, audit-ledger tracked.
Corpus engineering for the retrieval graph that ChatGPT, Claude, Perplexity, and Gemini ground their answers on.
Specific to the ChatGPT citation graph: directory + listicle + canonical Q&A engineering.
Perplexity's retrieval bias is different. Freshness + authoritative source domains. Different play.
Outcome-priced execution · audit ledger entry per shipped phase · BY APPLICATION · five GEO engagements per quarter across AI + Web3.
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