Your Buyers Asked AI Who To Buy From. It Named Five Companies. Yours Wasn't One.
We help B2B brands get found, cited and recommended by ChatGPT, Google AI and other AI search engines, so you’re in the conversation when it matters.
Built by a team ranked by
Clutch, The Manifest, DesignRush and more
Behind every firm AI recommends is a trail of evidence it can verify.
When that evidence is thin, you do not lose visibility. You stop appearing in the moments your next buyer needs context most. This is the exact system the playbook builds: a visibility engine that produces proof.
Presence
Be where your buyer needs context before they even reach your website.
Corroboration
Get cited across the web, media, and discussions the engines already trust.
Proof
Validation markers your team can point to, filtered by buyer expectations.
You don't have a ranking problem. You have a corroboration problem.
This Playbook Was Built From Live Client Accounts, Not a Blog Roundup.
Everything in this playbook comes from real client campaigns, not theory, opinions, or recycled advice. We analyzed what actually worked to get B2B brands cited, recommended, and surfaced in AI search across industries.
You’ll find the exact patterns, strategies, and tactics we’ve seen consistently drive results, along with the reasoning behind them. These insights are based on live accounts, real constraints, and real outcomes, not hypothetical scenarios.
This isn’t just a list of ideas. It’s a practical system you can apply, built from the same processes we use with our clients to earn visibility in ChatGPT, Google AI Overviews, and other AI search engines.
Inside the Playbook
Introduction: The Shift You Need to See
Know the Game: SEO vs AEO vs GEO
Foundations: Build for LLMs, Not Just the Web
The LLM Visibility Stack: Mention, Proof, Authority, PR
Proof: What to Show, and What Is Marketing
The Shift in B2B (with Real Examples)
How AI Engines Choose Who to Cite
Content That Gets Cited
Measuring the Invisible: How to Track AI Channel Growth
What's Coming: Agentic Search and the Buyer Ready Firm
Toolkit: Every Framework and Checklist
The way people find businesses has already changed.
If you’re not optimized for AI recommendations, you’re invisible to a fast-growing share of your future customers.
of professionals now use AI tools like ChatGPT during their research before choosing a product or service.
growth in AI-generated search overviews replacing traditional blue link results in the last two years.
of searches now end without a single click. The AI answer becomes the only impression you get.
What “not being recommended” is actually costing you
Every day you’re absent from AI answers, a competitor is getting named instead, and taking the deal with them.
Projected Missed Leads Over 12 Months
Recommended by AI vs. absent from AI answers
| Month | AI-Optimized | Not Optimized |
|---|---|---|
| M1 | 45 | 42 |
| M2 | 60 | 44 |
| M3 | 80 | 48 |
| M4 | 105 | 50 |
| M5 | 133 | 54 |
| M6 | 165 | 57 |
| M7 | 200 | 59 |
| M8 | 235 | 62 |
| M9 | 262 | 64 |
| M10 | 285 | 67 |
| M11 | 305 | 69 |
| M12 | 320 | 72 |
When a buyer asks AI for a recommendation
“Here are 3 well-known providers you could consider...”
Your brand never appears. The buyer books a call with a competitor before you even know they were looking.
“You should check out [Your Business]. They're highly rated for exactly that...”
You’re named directly, with trust already built in. The buyer reaches out to you first.
Where Buyer Research Happens Now
Share of B2B research starting points
What This Shift Means
Buyers start comparing vendors before they visit your website.
AI visibility influences shortlist inclusion earlier in the journey.
If you are not cited, you are absent from the decision set.
potential revenue missed per year from AI-sourced buyers alone
Inside this playbook, you're not getting more AI search theory.
You’re getting a practical system built from real client campaigns. Everything here is proven, repeatable, and designed to help B2B brands get cited, recommended, and chosen in AI search engines like ChatGPT, Google AI, and Perplexity.
How buyer research really works now
See how people ask, evaluate, and choose B2B providers using AI.
- How AI search engines pull and prioritize information
- What buyers actually see when they research your category
- Why traditional SEO alone is no longer enough
What it takes to be cited in AI
The exact content, structure, and signals AI engines look for when recommending a brand.
- The types of content that get cited in ChatGPT, Google AI, and Perplexity
- How to structure your website, pages, and content for AI visibility
- Real examples of brands doing it right
Step-by-step implementation system
A practical framework you can follow, built from real campaigns across multiple industries.
- Audit and identify your current AI search visibility gaps
- Create and optimize high-impact content assets
- Distribute and reinforce content across trusted sources
Real client results (and what's next)
Actual case studies, measurable outcomes, and how to stay ahead as AI search evolves.
- Before and after examples from real B2B brands
- Key takeaways you can apply to your business
- Next steps to build long-term visibility and pipeline through AI search
This Is What Cited Brands Actually See in the Real World
These aren’t hypothetical numbers. They’re real outcomes from brands that followed the exact frameworks in this playbook, using AI search the right way.
brand recommendations earned across AI platforms
average AI-sourced visitors per client after implementation
new enterprise deals traced directly to AI citations
of cited brands saw measurable growth in pipeline
Let's unfold a few of the frameworks we've built into the playbook.
Across client accounts, we kept seeing the same pattern: different brands, same outcome. So we distilled what’s working into repeatable frameworks for how brands become visible, cited, and recommended inside AI search.
Citation Visibility Ladder
A clear path from being mentioned to being cited to being the recommended source.
Crowd & Entity Integrity
Aligns how your brand, people, and entities are represented across the open web.
The EARNED Model
A strategic system to earn mentions, citations, and recommendations at scale.
Off-Site Scoreboard
Tracks your brand’s authority signals across the web and highlights what moves the needle.
The Invisible Test
A practical way to see how AI really perceives your brand across different prompts and personas.
Not Ready to Buy the Playbook Yet?
If you’re not ready to purchase, you can still see what AI says about your business and your category. Run a quick diagnostic to find out where you show up, where your competitors get mentioned instead, and which parts of the landscape you’re missing.
See what AI says about your business.
Get a 10-minute diagnostic and see how the top AI platforms describe you and your category.
Without corroboration, this is just publishing. With it, you become the name AI gives your buyer.
Get the Playbook Behind How Companies Get Cited by AI
You already publish content. What you don’t have is the off-site evidence AI models look for. Fix that with real examples and a repeatable system.
Still wondering if this will work for you?
How do I receive access after purchase?
Once your checkout is successfully completed, you’ll receive instant access via email.
What exactly will I learn inside?
The playbook covers the shift in B2B discovery, SEO vs AEO vs GEO, LLM foundations, visibility and proof, how AI engines choose citations, content that gets cited, AI channel measurement, agentic search, and the toolkit of frameworks and checklists.
Is this only for SEO specialists?
It is framed around B2B brand visibility, buyer research, content, proof, distribution, measurement, and implementation, not traditional SEO alone.
Is this only for a specific industry?
No. The material is presented as being built from live client accounts across more than 20 industries.