An AXO score measures how well AI tools represent a company when buyers ask questions about vendors in their category. It is a leading indicator of whether a company is visible to buyers at the earliest and most influential stage of their research process. The average AXO score among B2B companies tested by The Pedowitz Group is 28 out of 100.

What AXO Stands For

AXO stands for AI Experience Optimization. It is the practice of measuring and improving how AI tools represent a brand across the dimensions that matter to buyers: content breadth, persona relevance, question coverage, competitive standing, citation quality, and answer coherence.

AXO builds on AEO (Answer Engine Optimization), which focuses on getting content cited by AI tools. AXO goes further, measuring whether those citations accurately and completely represent your company to all relevant buyer personas across all relevant purchase stages.

The distinction matters because a company can have reasonable AEO performance, appearing in AI answers at a meaningful rate, and still have critical representation gaps that cost deals. Getting cited is necessary but not sufficient. What gets said in those citations, to which personas, at which buyer stages, determines whether AI visibility translates into pipeline.

The Six Dimensions of an AXO Score

Content breadth measures whether your published content covers enough of the question space buyers in your category are actually asking. Most companies cover the questions they want to answer, not the questions buyers are asking AI tools before they contact anyone.

Persona relevance measures how well your AI representation holds across different buyer types. A CMO querying your category may see strong, specific results. A CFO querying the same category with budget-evaluation framing may see weak or absent results. Most B2B companies have built content for one primary persona and are significantly underrepresented to others.

Question coverage measures whether AI tools can answer specific, stage-relevant buyer questions about your company. Not just what does this company do, but what does implementation cost, what is the realistic ROI timeline, how does this company compare to a specific competitor on a specific dimension. Each unanswered question is a gap in your buyer journey coverage.

Competitive standing measures how your AI representation compares to your top competitors in direct comparison queries. This is not a zero-sum metric but it identifies where competitors have structural content advantages that are producing better AI representation in head-to-head queries.

Citation quality measures the recency and authority of sources AI tools use when citing your company. Recent, high-authority sources score better than dated or low-authority ones. Outdated citations are a leading indicator of future visibility loss as competitors publish more current content.

Answer coherence measures whether the AI-generated answer about your company is internally consistent, accurate, and complete. A company can be cited frequently and still be misrepresented in ways that create friction later in the sales process.

Why Domain Authority and Social Metrics Don't Capture AXO

A company with high domain authority and strong social metrics can score poorly on AXO because the underlying content doesn't answer buyer questions in the format and structure AI tools prefer to cite. Conversely, a company with modest search presence but well-structured, question-answering content can score significantly above average on AXO.

We've seen companies with domain authority above 60 score in the low 20s on AXO. The channels those metrics measure and the channel AXO measures are different channels serving different stages of the buyer journey.

Domain authority predicts how you rank in search. AXO predicts how you're represented when a buyer asks an AI tool who they should consider.

What an AXO Score Below 30 Indicates

Scores below 30 typically indicate two compounding problems: content that explains the company but doesn't answer buyer questions, and significant persona gaps, usually strong coverage for marketing-adjacent personas and weak or absent coverage for financial and operational decision-makers.

Both problems are fixable but require deliberate content architecture changes, not simply more content production. Producing more of the same content that earned a 28 will produce a 28. Producing different content, specifically buyer-question-answering content for each persona in the buying committee, published without a gate, moves the score.

How to Improve an AXO Score

The highest-impact starting point is persona gap analysis: identifying which buyer personas in your typical purchasing committee are underrepresented in your AI presence, and building content that directly answers the questions those personas are asking at each stage of their evaluation.

The second lever is question coverage: auditing what specific questions AI tools cannot answer about your company and publishing content that addresses them directly, in plain language, without a gate.

Scores typically move from the sub-30 range to the 50-60 range within two to three quarters of targeted content production. Reaching the 70-plus range requires sustained effort across all six dimensions over four to six quarters.

The score exists whether you measure it or not. The difference is whether you find out before your competitors take the pipeline you didn't know you were losing.

FAQ

What is an AXO score in B2B marketing? An AXO score measures how well AI tools represent your company when buyers ask questions in your category. It covers six dimensions: content breadth, persona relevance, question coverage, competitive standing, citation quality, and answer coherence. The average score among B2B companies tested by The Pedowitz Group is 28 out of 100.

How is AXO different from AEO? AEO focuses on getting your content cited by AI tools. AXO measures whether those citations accurately represent your company across all buyer personas and purchase stages. AEO gets you into the answer. AXO measures the quality and completeness of what's in that answer and connects that representation to revenue outcomes.

What does a low AXO score mean for pipeline? A low AXO score indicates that your company is poorly represented in the AI-mediated research phase of the buyer journey. Buyers who use AI tools to build their shortlists are less likely to include companies with low AXO scores, resulting in pipeline gaps that traditional attribution models cannot explain.

What is the average AXO score for B2B companies? The average AXO score across B2B companies tested by The Pedowitz Group is 28 out of 100. The highest scores observed are in the 70 to 74 range, found in companies actively implementing structured AEO programs with persona-specific content investment.

How long does it take to improve an AXO score? Targeted content investment focused on persona gaps and question coverage typically moves a score from the sub-30 range to the 50-60 range within two to three quarters. Reaching 70-plus requires sustained, multi-dimensional effort over approximately four to six quarters.

How do I get an AXO diagnostic for my company? The Pedowitz Group conducts full AXO diagnostics that measure AI representation across six dimensions, multiple buyer personas, and the competitive set, producing a scored report that identifies specific content gaps and prioritizes investment. Contact The Pedowitz Group to request a diagnostic for your organization.

Request an AXO Diagnostic from The Pedowitz Group and find out exactly where your company stands.