SURPRISINGLY
Even strong, well known brands get left out by AI
in many high priority buyer scenarios.
(few brands truly understand these gaps yet)
WHEN BRANDS ARE MENTIONED
Being visible, mentioned, and cited
is not the same as being recommended
WHAT'S ALARMING...
Too often when a brand is mentioned, many buyers will likely go to competitors
merely because of what AI said
THIS MEANS...
You can be mentioned, cited,
and even recommended
yet... still lose the buyer
THE HIDDEN RISK
Being recommended doesn't mean
you're winning the recommendation.
AI tells buyers what to think about each brand, what they're known for, what they specialize in, and how products are uniquely designed for certain use cases. This means a a market-leading brand can appear in the answer and still be disadvantaged when a competitor is described as more specialized, more proven, easier to work with, or simply a better fit for that buyer.
You may be mentioned or recommended,
But... the narrative surrounding your recommendation can determine if you get the click, conversation, and sale.
PROJECT STORIES
We solve real AI recommendation problems.
1
Identified & Solved
Entity Gaps
We found that AI understood this part of the company, but wasn't treating it as a recommendable entity.
We found that AI understood this part of the company, but didn't perceive it as a coherent solution to recommend. Solving it required action by senior leadership.
2
Diagnosed
RECOMMENDATION GAP
We discovered several operational gaps were causing AI to discourage buying products online.
AI cited several reasons for not recommending the retailer, including product quality concerns, incorrect orders, difficult returns and refund problems. This caused AI to advise buyers go to the store, rather than purchasing online. The issues affecting AI recommendations sat entirely outside the SEO team's control.
3
3
Built
INHOUSE AUDIT CAPABILITY
xxx
A global company needed a repeatable way to find and address unfavorable, lackluster AI narratives.
We trained the in-house AI Search team on our AI Audit methodology, giving them a repeatable process to uncover weak narratives, understand what's driving them, and determine how to improve them. The capability now lives inside the organization.
CLIENT RESPONSE
With these findings I can see that we will produce content that will actually work. It's far better than the blog and article strategy we had planned.
AI Search Strategist
Global OEM
THE FOUNDATIONS MATTER
Citations are an important signal that AI trusts your content to use it when forming its answers. They're just not the goal we get excited about.
THE GOAL ISN'T THE CITATION
Being recommended with a compelling narrative is the real goal post. Citations help us get there.
We strengthen the content, entities, authority, technical foundations, and third-party evidence that help brands earn visibility and citations.
Then we go further. We look at what AI says about your brand, why it recommends—or doesn't recommend—you, and what needs to change to improve the outcome.
We optimize for the recommendation, not the citation or mention alone.
WHAT WE DO
We help you find where and how you're
losing buyers to AI, and then do something about it.
1
HELP AI UNDERSTAND WHAT
YOU ACTUALLY OFFER
Determine what AI needs to understand and believe about your brand to recommend it in the buyer scenarios that matter. Then define the information, evidence, and assets your organization needs to put in place.
2
GET YOUR BRAND
RECOMMENDED MORE OFTEN
Find the buyer scenarios where you're being left out, understand why competitors are being chosen instead, and determine what needs to change.
IMPROVE WHAT AI SAYS
ABOUT YOUR BRAND
3
Uncover unfavorable, weak, or inaccurate narratives that can steer buyers elsewhere, and identify the evidence and actions needed to change AI narratives about your brand over time.
WHAT WE DO
4
MONITOR WHAT
ACTUALLY MATTERS
Define the prompts, buyer scenarios, and metrics that show whether you’re doing what it takes to improve, and whether your work is actually changing AI recommendations. Evaluate and set up the right tools to monitor both.
5
MOBILIZE THE
ORGANIZATION
Wake cross-functional teams up to their role in AI visibility, train them on what has changed, and focus each team on their 20% that makes 80% of the impact.
BUILD OR EXPAND IN-HOUSE
AI SEARCH (GEO) CAPABILITY
6
Give your team the frameworks, processes, SOPs, training, and operating model to manage AI visibility and recommendability in-house.
UPCOMING
AI Brand Visibility Master Class
Jessica Bowman is teaching the
October 11, 2026
Stay ahead of how to respond to AI driven discovery
SUBSCRIBE
Practical insights on how to respond.
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We help brands understand why they're losing buyers in AI conversations, and what to do about it.