AI Index

Ziply shows B2B marketing teams where their brand appears in AI answers, why it's missing, and what to publish to be cited — then proves the impact.

Core, Growth and Scale are built around your own buyer evidence — set up and priced with you.

Get in touch with Ziply — book a demo, talk to sales, or reach support. We'll show you how AI represents your brand and how to become the answer.

Answers to common questions about Ziply — what it measures, how the packages differ, and how to get started.

AI doesn't rank links — it weighs authority and recommends a brand. Here's why earned authority, not tricks, decides who AI names as the answer, and what to do about it.

How to evaluate AI visibility tools — the dimensions that matter, and the monitoring-to-action spectrum that separates tools that only measure from those that help you act.

One platform to measure your brand in AI answers, understand what buyers ask, build content AI engines cite, and prove the impact.

See which AI crawlers visit your site, what they receive, and which important pages they never reach — no tracking script required.

See how ChatGPT, Google AI Overviews, Perplexity and other AI assistants answer your buyers' questions — and whether your brand is in the answer.

Reach the publishers AI engines cite and put your team's voices behind your content, with limits that keep every account in good standing.

Write pages, blog posts, eBooks and social content in your brand's voice, grounded in your evidence and checked for AI-readiness as you write.

Turn your sales conversations, market discussions, customer reviews and AI-answer gaps into a ranked list of topics worth publishing.

Follow your content from AI crawler to visits, conversions and pipeline, and see exactly where it drops out along the way.

Grade how well AI engines can read, understand and cite every page on your site, with the fixes ranked by the difference they'll make.

Check how AI engines answer your category and how ready your site is to be cited — free forever, no card. Or track your category on Signal.

Audit every client site for AI-readiness from one account, at $45 per site per month, and give each client its own AI-visibility tracking.

For CMOs: AI is reshaping how your market discovers and chooses brands. See whether you're winning the AI answer, lead the shift before competitors do, and prove marketing's impact to the board.

For demand gen leaders: a growing share of buyer research happens in AI answers, off your channels. See how to capture demand there with content that gets cited and drives real pipeline.

For founders and CEOs: the biggest shift in how buyers find brands in 20 years is a chance to win your category. See how Ziply helps a lean team measure, build, and prove AI visibility — and pull ahead.

For product marketing: AI is describing and positioning your product to buyers — sometimes wrong. See how Ziply shows how AI frames you vs. competitors, and helps you correct and shape the narrative.

The Authority Hub is everything we know about winning in AI answers, structured into five pillars — measure, engineer, create, earn, and prove — each a deep guide with in-depth clusters.

In the AI era, content has one new job: get cited and recommended by AI engines. This guide covers what content AI cites, how to structure it, build topical authority, and scale it on-brand.

AI-generated content isn’t penalized — generic content fails and thin content gets discounted. The real divide is grounded vs. generic. Here’s the difference, and why grounding is everything.

Scaling content with AI risks sounding generic. A reusable capture of your brand voice — a “digital twin” — keeps the hundredth piece sounding like you. Here’s how brand voice at scale works.

AI cites content that genuinely answers the question, is accurate and verifiable, is clearly structured, and shows real expertise. Here’s what separates content AI cites from content it skips.

Find content topics that move the needle by starting from evidence — buyer questions, AI visibility gaps, and competitive comparisons — and prioritizing by impact, not by what feels interesting.

Old content metrics miss the new goal. Measure whether your content is improving how AI represents and cites you — closing gaps, earning citations, lifting recommendation. Here’s how to measure content ROI in the AI era.

Repurposing turns one substantial piece into many channel-native assets — multiplying reach without multiplying effort. Here’s how to do it at scale while keeping each piece distinct and on-brand.

Structuring content for AI citation means answering the question directly and early, using clear headings, organizing facts cleanly, and making claims verifiable — so engines can extract and attribute you.

Topical authority — a comprehensive pillar page surrounded by interlinked cluster pages — signals real expertise to AI engines. Here’s how to build the pillar-and-cluster architecture that earns it.

Your sales calls, support tickets, and expert conversations are a goldmine of content grounded in real buyer questions. Here’s how to turn them into authority-building content at scale.

AI is reshaping how buyers decide — mostly invisibly. This guide covers AI marketing attribution: how to see the invisible AI buying journey, attribute AI influence, and prove it moves pipeline.

Attributing AI means identifying AI-referred traffic where it can be traced and honestly modeling AI’s influence where it can’t. Here’s how to attribute AI traffic and influence without false precision.

Raw counts don’t tell you who actually converts. Understanding your buyer archetypes — and which truly convert to pipeline — lets you weight visibility and content toward the buyers that matter. Here’s how.

Defend marketing spend with evidence, not activity: connect AI visibility through the funnel to pipeline and frame the value at stake — with honest confidence a CFO will trust. Here’s how.

Measurement tells you what happened; decision intelligence helps you decide what to do next. Here’s how unified, attributed marketing data becomes forward-looking guidance — a decision-making twin.

AI is reshaping B2B buying by moving research, comparison, and shortlisting into AI answers — often before buyers contact vendors. Here’s how the buying journey is changing and what it means.

Linking AI visibility to pipeline means connecting how AI represents you, through influenced journeys, to revenue — with honest confidence. Here’s how to prove AI visibility drives pipeline, credibly.

AI influence on buying is largely invisible — AI-influenced visitors get mislabeled as “direct” traffic, and buyers steered to competitors never arrive. Here’s why the journey is invisible and what to do.

The trends reshaping demand: buyers researching in AI, zero-click answers, AI traffic hidden as “direct,” and the rise of AI visibility as a discipline. A living overview — with sourced, dated data.

AI visibility, GA4, attribution, and CRM in disconnected tools means the insight in the gaps is lost. Here’s how to unify your marketing analytics into one funnel — a single source of truth.

AI visibility is whether AI engines represent, cite, and recommend your brand when buyers ask. This complete guide covers what it is, how it's measured, how engines differ, and how to improve it.

An AI visibility audit shows how AI engines represent and recommend your brand today. Here’s how to run one — define your questions, test across engines, assess the dimensions, and prioritize the gaps.

There’s no universal “good” AI visibility score — it’s relative to your category, competitors, and your own trend. Here’s how to benchmark honestly and set targets that actually mean something.

AI visibility and SEO are related but distinct. SEO ranks pages for clicks; AI visibility is about being cited and recommended in AI answers. Here’s what changed, what didn’t, and how they work together.

A one-time audit tells you how ready your site is today; ongoing monitoring tracks how AI represents you over time. They answer different questions — here’s why you need both.

AI engines don’t answer the same way — they draw on different sources, cite differently, and recommend differently. Here’s why they differ and what it means for measuring your AI visibility.

Your internal link graph shows which pages AI can reach and trust. Learn to spot orphan pages, weak hubs, and missing links — usually your fastest AI-visibility wins.

Tracking your brand in AI means continuously monitoring how each engine — ChatGPT, Perplexity, Gemini, Google AI, Copilot — mentions and recommends you against your buyer questions. Here’s how, and why per-engine matters.

AI visibility is whether and how AI engines represent, cite, and recommend your brand when buyers ask. Here’s a precise definition, its three components, and why it’s different from being online.

An AI visibility audit grades how ready your site is to be found, cited, and recommended by AI — not just how it ranks. Here’s what it checks and why it’s different from an SEO audit.

Buyers increasingly start their research inside AI assistants, asking full questions and narrowing their shortlist in conversation — often before visiting a vendor’s site. Here’s why, and what it means for brands.

AI answers are built from sources it trusts. This guide covers the authority signals that shape AI answers — citations, trusted publishers, source diversity, and amplification — and how to earn them.

Your sales team’s personal brands extend reach, build trust with buyers, and add authentic voices to your authority. Here’s how to help reps build credible personal brands on LinkedIn — the right way.

You can’t fake AI authority — manufactured signals are discounted, communities punish manipulation, and trust is hard to rebuild. Here’s the philosophy at the heart of AI-era authority: earn it, don’t fake it.

Earning citations on the sources AI trusts is the AI-era evolution of digital PR. Here’s how to win credible mentions on high-authority sources — by offering genuine value, not transactional asks.

Your employees and executives reach networks far larger and more trusted than your brand page. Here’s how employee and executive advocacy amplifies reach and builds the authority signals AI rewards.

Media outreach in the AI era targets the sources AI trusts and leads with genuine value, measured by citation impact, not vanity coverage. Here’s how to do outreach that actually moves AI visibility.

Partners and credible influencers extend your reach and add trusted, independent voices to your authority. Here’s how partner co-marketing and authentic influencer amplification build AI authority signals.

AI values a diverse, independent set of sources vouching for you over many mentions from one place. Here’s why source diversity signals genuine authority — and makes your visibility more robust.

Authority signals are the credibility cues AI uses to decide which brands to cite and recommend — citations, trusted mentions, source diversity, and amplification. Here’s what they are and why they matter.

AI leans on a finite set of trusted publishers, authors, and communities per category — and which ones matter is a measurement question. Here’s how to find the sources that shape AI answers about you.

GEO is the practice of engineering how AI engines represent and recommend your brand. This guide covers what GEO is, how it differs from AEO and SEO, and how to optimize to be the answer.

The biggest GEO mistakes share one root: trying to game AI instead of earning authority. Here are the common mistakes — keyword stuffing, manufactured signals, single-engine thinking — and what to do instead.

GEO, AEO, and SEO are a progression, not rivals. SEO ranks pages; AEO wins the direct answer; GEO wins recommendation in generated answers. Here’s how they differ and work together.

Optimizing for AI answers means being the credible, well-represented, recommendable option for the questions buyers ask. Here’s how — content, citations, entity clarity, freshness, and measurement.

AI sometimes describes brands with outdated or wrong information. Here’s how to find and fix what AI says about you — correcting inaccuracies at the source so engines learn the right version.

Being mentioned by AI isn’t the same as being recommended. Here’s how to improve your recommendation strength — the authority, fit evidence, and clarity that move you from “listed” to “put forward.”

Generative Engine Optimization (GEO) is the practice of improving how AI engines represent and recommend your brand in their generated answers. Here's a clear definition and how it works.

When buyers ask AI “what’s the best tool in your category?” or “A vs. B?”, the answer decides the shortlist. Here’s how to win those competitive comparison moments in AI — ethically and durably.

Short, direct answers to the specific questions marketers ask about AI visibility, GEO, content, authority, and pipeline — the concise companion to the Authority Hub's deep guides.

Buyers use ChatGPT to shortlist vendors by asking broad questions, then narrowing through follow-ups about fit, comparisons, and pricing — a whole evaluation in one conversation. Here’s the pattern.

ChatGPT names brands it judges relevant and credible for a question, drawing on what it learned in training and (when browsing) on sources it retrieves. Here’s what influences it — and what you can do.

There’s no ranking in ChatGPT — you get recommended, not ranked. Here’s why the ranking frame doesn’t fit AI answers.

Buyers already decide inside AI answers, the losses stay invisible in your analytics, and authority compounds — here’s why waiting cedes ground that’s hard to recover.

Ziply helps B2B companies see how AI assistants answer their buyers' questions — and become the answer.

We run Ziply and the organic work that earns AI visibility — content, site fixes, earned sources, communities, LinkedIn and advocacy. No paid ads.

Where Ziply keeps your data, which providers process it, how long it's kept, and what Ziply never stores.

How Ziply collects, uses, maintains and discloses information collected from visitors and users.

The terms and conditions governing your access to and use of the Ziply website.

A structured, machine-readable index of Ziply's content for AI agents and crawlers, plus links to our llms.txt file.