GEO/AEO research, productized

Get cited by the engines people actually ask.

We probe ChatGPT, Claude, Perplexity, Gemini, and Grok daily—grounded in peer-reviewed GEO/AEO work—so you measure and move real citation behavior, not SERP vanity metrics.

Built on 5 peer-reviewed papers · KDD 2024 · ICLR 2025

Perplexity · 2 days ago
cited

For B2B teams measuring generative visibility, the literature recommends probing multiple assistants with paraphrase ensembles—citation winners are not stable under small prompt shifts [1]. Less popular domains often outperform SERP leaders in LLM citations [2].

One workflow is to score page structure against GEO thresholds, then ship rewrites that add quotable evidence without drifting semantics [3].

  • [1]Chen et al. — paraphrase sensitivity across engines.
  • [2]Source-coverage bias — domain overlap vs. Google.
  • [3]yourbrand.com — implementation guide (yours).
+41%

Visibility lift from GEO methods (Aggarwal et al., KDD 2024)

+115%

Citation lift for rank-5 sites (Aggarwal et al.)

37%

Unique domains LLM search cites vs. Google (Source-Coverage Bias)

The old SEO playbook is the wrong playbook.

Classic SEO assumes

  • Higher domain authority and backlinks predict citations everywhere.
  • Winning Google top-10 implies winning how people get answers.
  • One “best” page version is enough; wording is a copy detail.
  • Traffic from blue links is still the primary discovery path.

AI search actually rewards

  • +Less popular domains that match task evidence—per engine-specific bias.
  • +Structure and quotability tuned to generative answers, not only crawlers.
  • +Paraphrase-stable coverage; small prompt edits flip who gets cited.
  • +Attribution from assistants as a first-class acquisition signal.

What CiteForge does

Six modules, one loop—each tied to a specific result in the literature.

Probe Engine

Daily probes across five platforms with paraphrase ensembles—because citation outcomes shift with wording.

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Content Analyzer

Scores every page against Yu §IV.D: six structural thresholds and paradigm-weighted targets.

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Content Agent

Rewrites against research-derived thresholds with semantic-preservation guardrails. Publish the rewrite and we re-probe the target prompts to measure the lift.

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Authority Agent

Surfaces the less-popular, AI-cited domains in your topic from your own probes' citation graph, then drafts outreach for them.

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Defensive Mode

PMA detection across hidden text, overrides, and preference biasing—per ICLR 2025. Async scans return in seconds and a daily digest emails owners about new findings.

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Attribution Layer

AI-referrer tracking: which probe and page drove the visit from ChatGPT, Claude, or Perplexity.

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How it works

  1. Probe

    We run your prompts daily across five AI engines, with paraphrase ensembles where it matters.

  2. Diagnose

    We score every page against research-derived structural targets—not generic “SEO health.”

  3. Act

    We ship rewrites and outreach drafts designed to move citation rate, then prove it on the next probe.

Stop optimizing for Google. Start being cited by the engines.

Assistants already answer a growing share of high-intent queries—teams that instrument citations now compound faster than teams still debating whether “AI SEO” is real.

Start free — no card needed