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 — for industrial and professional firms.
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 →