Probe 8 commercial queries across 5 AI search surfaces (ChatGPT, Claude, Gemini, Perplexity, Google AI Overview) 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. The only FORKOFF tool that actually queries LLMs - for page-level HTML signal audit use AEO Checker, for domain agent-readiness substrate use GEO Audit, for a unified composite use AI SEO Audit.
Outcome-priced · audit ledger weekly · AI + Web3 lanes both supported
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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, Claude, Gemini, Perplexity, plus Google AI Overview. Eight high-intent commercial queries you actually care about. The probe captures the full natural-language response, not just an embedded citation list.
40
Query × surface 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 |
Sister tool. 6-dimension on-page AEO audit (schema, FAQ, definitional opener, headers, meta, agent signals). Run on the page you want cited.
Sister tool. Audits the agent-readiness substrate (robots 7-bot allowlist, llms.txt, well-known manifests, schema graph). The plumbing before LLMs can cite you.
Sister tool. Generates the structured-data that earns the citations the visibility checker is measuring. 8 schema types covered.
One audit that composes AEO + GEO + Lighthouse into a unified 0-100 scorecard. Run this after the individual audits for the consolidated view.
The 90-day Generative Engine Optimization sprint the tool maps onto. Outcome-priced, audit-ledger tracked.
Managed AEO program. Weekly audits + the foundation work that lifts a sub-30% brand to 65% inside two quarters.
Outcome-priced execution · audit ledger entry per shipped phase · BY APPLICATION · five GEO engagements per quarter across AI + Web3.
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How Google AI Overviews decide which brands to cite: a 4-layer selection stack, first-party citation lab data, and a 7-step optimization checklist.
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Perplexity vs Google AI Overviews for marketers deciding where to optimize first. A practitioner decision framework with platform mechanics and tactics.
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Schema markup for AEO ranked to the 5 schemas that earn AI citations in 2026, with copy-paste JSON-LD, the FAQPage deprecation reconciled, and validation.
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