Everything you need to understand AI search visibility — the research behind it, how to fix it, and what actually moves the needle.
SIGNALS is the AI-visibility (AEO) framework, the intelligence platform that measures it, and the practice that does the work.
If your pages aren't showing up when buyers ask ChatGPT or Perplexity for recommendations, these resources explain why — and exactly what's involved. When you're ready to fix it, request a free visibility assessment.
All 7 dimensions, their weights, and the research behind each one. Why alignment dominates, what grounding means, and how to score higher on each signal.
Explore the framework → ResearchThe peer-reviewed studies behind every SIGNALS weight. 2M+ citations analyzed across 4 papers — how we know what actually drives AI citation frequency.
Read the research → GuideWhy your website is invisible to ChatGPT, Claude, and Perplexity — and what AEO is. How AI citation works, how it differs from SEO, the four-stage retrieval pipeline, and the 7 signals that determine whether AI cites you.
Read guide → GuideThe 6 most common reasons AI engines skip your pages — and exactly how to fix each one. Includes a diagnostic checklist and before/after examples.
Read guide → ChecklistA complete checklist of the 25 structural signals that determine whether ChatGPT, Claude, and Perplexity cite your page. Based on 2M+ citation analysis.
View checklist → How-toChatGPT reads from the Bing index, not Google's — so a page that ranks on Google can be invisible in ChatGPT. The five steps to get retrieved, indexed, extracted, and cited.
Read guide → How-toAI Overviews name a few sources before the buyer scrolls — and it's a different game from ranking #1. How to become one of them, grounded in a captured real Overview.
Read guide → How-toPerplexity runs its own crawler and index, cites the most sources of any engine, and prizes freshness. How to be one of the sources it names — including the query fan-out most guides miss.
Read guide → How-toClaude's web search runs on Brave, not Google — and it cites fewer, more carefully chosen sources than any engine. Harder to earn, worth more. How to become one.
Read guide → How-toYour AI visibility is four numbers — one per engine — and they rarely agree. How to measure share of voice the way it actually behaves, query by query, across repeated runs.
Read guide → DefinitionThe plain definition: how often AI engines name your company when buyers ask — four numbers, one per engine, that decide the shortlist before a buyer makes contact.
Read definition → DefinitionThe GEO term, its 2024 academic origin, how it differs from AEO and SEO, and what the research shows actually moves citation in generative answers.
Read definition → ExplainerThe five factors behind every AI citation — retrieve, extract, trust, match, corroborate — and what each one means for whether your page gets named.
Read explainer → TeardownA real-world teardown of a page that executes AI citation so well that Claude consistently cites it as a neutral source. Signal by signal breakdown with proof.
Read teardown → Case StudyWe ran SIGNALS on our own site and scored 28/100 — Critical. Real before/after screenshots, every fix documented, and exactly why each one worked — the same done-for-you work we do on a client's pages.
Read case study → ExplainerHow ChatGPT, Claude, and Perplexity actually retrieve and cite content — the four stages, where most pages fail, and what to fix first.
Read explainer → GuideNot named when buyers ask ChatGPT, Perplexity, Claude, or Google's AI? It's almost always one of five specific, fixable reasons — and rarely a quality problem. How to tell which is yours.
Read guide → How-toAI can't cite a page it can't read. A practical four-check test for whether ChatGPT, Perplexity, Claude, and Google's AI can reach, render, and extract your pages — and what to fix if they can't.
Read guide → How-toChatGPT names a few firms when someone asks for a lawyer — and it reads from Bing, not Google. The four steps to make your firm one of the names, for the high-value case types worth taking.
Read guide → ComparisonAEO is new enough that anyone can claim it. The criteria that separate a real AI-visibility practice from a repackaged SEO shop — with a buyer's criteria table and the questions to ask before you sign.
Read guide → ComparisonBuy a tracking tool, build it in-house, or hire a done-for-you agency? A side-by-side comparison of what each actually covers, what it costs in time, and when each one makes sense.
Read guide → ComparisonProfound, Otterly AI, and the DIY trackers vs. a done-for-you agency — real pricing, honest pros and cons, and who each is actually for. Where SIGNALS fits, and which category you need before you spend a dollar.
Read comparison →The SIGNALS framework is grounded in peer-reviewed research. These are the four papers that inform every dimension, weight, and recommendation in the SIGNALS assessment.
2M+ citations analyzed across 4 engines. Found prompt-content alignment (β=+0.37) is the dominant predictor — above domain authority and all structural signals.
Read paper ↗10,000 queries tested. Adding statistics increased AI visibility by 41%, source citations by 40%, expert quotes by 28%. The foundational peer-reviewed study.
Read paper ↗First taxonomy of AI citation failure modes: retrieval, parsing, ranking, generation. 40%+ citation improvement by targeting the actual failure stage.
Read paper ↗12,500+ queries, 8,000 domains. 83% of AI citations come from outside Google's top 10. Heading hierarchy present in 68.7% of cited pages.
Read paper ↗Start with a free visibility assessment — it shows exactly which of the 7 citation signals your pages are failing across the four engines. From there, SIGNALS does the work: the BLUF rewrite, buyer-language FAQ, H2 restructuring, and JSON-LD schema, implemented on your pages. The research section explains the peer-reviewed evidence behind each fix type.
SEO optimizes for Google's PageRank algorithm: backlinks, domain authority, click-through rate. AEO optimizes for AI retrieval pipelines: vocabulary alignment, structural clarity, sourced statistics, quotable content. According to ConvertMate's GEO Benchmark (2026), 83% of AI citations now come from pages outside Google's top 10 — meaning strong SEO rankings no longer predict AI citation. You need both, and they require different fixes.
Alignment — making sure your page vocabulary matches how buyers actually search — carries 35% of the SIGNALS score and is the only signal with a documented causal effect independent of domain authority (Discovered Labs, 2026, β=+0.37). Adding sourced statistics is the second biggest lever: Princeton GEO (KDD 2024) found it increases AI visibility by 41%. Both are central to the work we do for you — Alignment is where we start.
AI index refresh typically takes 2–4 weeks after a page is updated. Structural changes (BLUF, FAQ, schema) are picked up faster than vocabulary changes, which require re-indexing. Once we ship the fixes, your SIGNALS score reflects the improvement immediately, and AI citation frequency changes within 2–6 weeks as crawlers re-process the updated content.
A free, PULSE-powered visibility assessment maps exactly where you’re cited and where you’re invisible — against the competitors winning your category, category by category.
Request a free visibility assessment →