On-Demand Webinar

Why Most B2B Brands Get Cited in AI Search but Never See It in Revenue

The Three-Layer Framework That Changes That

Getting cited is easy. Getting chosen is not.

This session breaks down the three-layer framework behind that gap, and exactly what to fix first.

Available Now: Free Access

Speaker: Al Lalani, Founder & CEO, Omnibound

The problem

Three different things are failing, and most teams only ever check one

The content was built for a question nobody asked

Most AI search content starts from a keyword tool's best guess at buyer intent. The actual question usually sounds nothing like it and lives in a sales call transcript, not a keyword report.

Citations decay, and almost nobody is watching

A citation earned six months ago is not a citation held. AI engines re-evaluate sources continuously against everything published since. Most teams have no idea which of their citations have already gone weak.

Most of what AI cites isn't on any company's website

A large share of the sources AI engines actually trust and cite live outside brand domains entirely. A content team optimizing only their own site is, by definition, only fighting for part of the answer.

Inside the session

The three-layer framework and how to apply it

Where real buyer language actually lives

Why keyword-approximated prompts earn citations from browsers instead of buyers, and how to pull the real question from sales calls, support tickets, and reviews instead.

What to build from a real buyer prompt

The structural difference between content that gets buried in an AI answer and content that gets cited as the primary source.

Catching citations before they quietly disappear

How to tell whether a page needs a light refresh or a full rebuild, what actually causes a strong citation to fade into a weak mention, and how to prioritize which of your existing pages to fix first.

The committee problem most strategies miss

Why content built for one persona leaves the rest of the buying committee to find a competitor's answer instead, and how to map coverage across every stakeholder in a typical deal.

Earning trust you don't own

Why a meaningful share of AI citations comes from sources outside your website, how to find out which ones matter most for your category, and what it takes to earn a place in them strategically, not through one-off outreach.

Share of voice and the diagnostic: where to act first

Why share of voice, measured at the prompt level, moves before your CRM does, and a framework for classifying every gap as absent, weak, or aging so you know exactly which one to fix first.

Who this is for

Is this session right for you?

CMOs & Marketing leaders

Understand why AI search visibility isn't showing up in pipeline, and what to ask your team to fix first.

VP & Directors of marketing

Get a framework for auditing current AI search content against real buying stages, stakeholders, and third-party sources.

Demand generation leaders

Learn how AI citations are shaping buyer intent before a prospect ever reaches your funnel.

Content marketing managers & Directors

Learn how to prioritize refreshes, new content, and offsite placements based on where the biggest gaps actually are.

SEO & Growth marketers

Extend your visibility thinking beyond your own domain into the sources AI search engines already trust.

Speakers

Meet the speaker

Al Lalani is an engineer turned B2B marketer. He is a serial entrepreneur with deep experience building category-leading companies. He works with B2B marketing teams to bridge the gap between AI search visibility and revenue outcomes, helping them understand where buyers are forming opinions in AI engines, what content earns citations at each stage of the buying journey, and how to build a content strategy that drives measurable pipeline impact.