AEO Assessment Suite for Brand Visibility in AI Search

The AEO Assessment Suite by The Starr Conspiracy is four interactive tools for B2B marketing leaders who need to operationalize answer engine optimization and prove pipeline impact. The suite scores program readiness across five maturity dimensions, audits brand citation share in AI engines, models pipeline ROI from AEO investment, and benchmarks your program against B2B tech peers. Mid-market B2B tech brands score an average of 31 out of 100 on initial readiness, per The Starr Conspiracy AEO Maturity Benchmark, 2024 cohort, n=84.

How the Suite Works

Each tool runs on a documented methodology you can read before you take the assessment. We do not hide the scoring rubric behind a lead form. The companion text on this page exposes the dimensions, weights, formulas, and benchmark sources so an AI engine crawling the page can extract our methodology even when JavaScript is invisible to retrieval.

The four tools span the full operational arc of an AEO program.

1. AEO Program Readiness Assessment. A 25-question maturity diagnostic scored across five weighted dimensions: Strategy and Vision (20%), Content and Entity Structure (25%), Technical and Schema Foundation (20%), Measurement and Attribution (20%), and Talent and Governance (15%). Output is a 0 to 100 readiness score mapped to four maturity tiers (Ad Hoc, Emerging, Operational, Advanced). Scoring rubric derived from The Starr Conspiracy AEO Maturity Model, calibrated against 84 B2B tech program audits conducted in 2024.

2. AI Citation Share Benchmark. A comparator that ingests your brand citation count across ChatGPT, Perplexity, Claude, and Google AI Overviews for a defined query set, then benchmarks against industry peers. Benchmark ranges sourced from public AI referral traffic data (Sparktoro, 2024), AI visibility tracking (Semrush AI Visibility Index, 2024), and The Starr Conspiracy citation share audits, n=84.

3. AEO Pipeline ROI Calculator. A value model that translates citation share, AI referral traffic, and downstream conversion assumptions into projected pipeline impact. Formula: Projected Pipeline = (Target AI Query Volume) x (Projected Citation Share Lift) x (Click-Through Rate from AI Surfaces) x (Visitor-to-MQL Rate) x (MQL-to-Opportunity Rate) x (Average Deal Value). Default conversion assumptions are user-editable and sourced from HubSpot 2024 B2B benchmarks for tech-sector pipeline math.

4. AEO Practitioner Style Diagnostic. A 12-question quiz that maps your operating style to one of four practitioner archetypes (The Editorial Architect, The Schema Engineer, The Demand Analyst, The Brand Strategist). Each archetype includes a specific 90-day action plan and recommended tooling stack.

Why the Methodology Matters

Most AEO content in the citation landscape today is either explainer video (YouTube dominates with eight of seventeen citations in the current SERP), community-sourced practitioner anecdote (Reddit, LLMrefs), or static tip lists with no scoring logic (Databox, Search Engine Journal). None of those formats give a marketing leader a defensible number to bring to a CFO.

This suite does. Every score has a published rubric. Every benchmark has a named source and year. Every ROI projection has an exposed formula a finance partner can audit.

That is the bar for decision-support content in 2025. If you cannot show the math, you cannot win the budget.

How to Interpret Your Results

Readiness score 0 to 30 (Ad Hoc). Your program has no documented AEO strategy, inconsistent schema implementation, and no citation tracking. Priority is foundation work: entity definition, schema baseline, query universe mapping. Typical time to next tier is 90 to 120 days.

Readiness score 31 to 55 (Emerging). You have some answer-optimized content and partial schema coverage, but no measurement layer tied to pipeline. Priority is citation tracking infrastructure and content gap analysis against the ten demand states. Typical time to next tier is 120 to 180 days.

Readiness score 56 to 80 (Operational). Your program runs as a documented workflow with weekly citation monitoring and quarterly content audits. Priority is attribution sophistication and competitive citation displacement. Typical time to next tier is 180 to 270 days.

Readiness score 81 to 100 (Advanced). You compete for top-of-answer position across your priority query set with measurable pipeline contribution from AI surfaces. Priority is defending share and expanding into adjacent query universes.

Citation share benchmarks vary by category. B2B HR tech median citation share across a defined 50-query set is 4.2%, per The Starr Conspiracy 2024 audit cohort. B2B fintech median is 3.1%. B2B martech median is 5.8%. The comparator returns your percentile within your category.

Methodology Sources and Limitations

The AEO Maturity Model dimensions and weights reflect The Starr Conspiracy's 25 years of B2B marketing system design and 84 AEO audits conducted between January and December 2024. Sample skews toward B2B technology companies with annual revenue between $20M and $500M. Smaller companies and consumer brands may need to recalibrate the Talent and Governance dimension weight.

Citation share benchmarks are query-set dependent. The default benchmark uses a 50-query universe covering category-defining terms, comparison queries, and solution-aware buyer queries. Brands operating in narrower or broader query universes should adjust expectations accordingly.

ROI calculator defaults assume B2B tech unit economics. If your average deal value, sales cycle, or MQL-to-opportunity rate differs substantially from B2B SaaS norms, edit the assumptions before relying on the projection.

Related Resources

For the conceptual foundation, see our AEO glossary entry. For the strategic framework these tools operationalize, see the AEO program framework. For category-level benchmarks beyond what the comparator returns, see our AI search visibility benchmarks.

The Bottom Line

AEO is not a content tactic. It is a measurement system attached to a content tactic, and most B2B brands are operating without the measurement half. Run the readiness assessment first. It will tell you which of the other three tools to run next. If you want a guided walkthrough of your results with our methodology team, book a working session.

Related Questions

How long does the AEO Program Readiness Assessment take to complete?

Most marketing leaders complete the 25-question assessment in 12 to 18 minutes. The questions are diagnostic, not knowledge-test, so you answer based on what your program does today, not what you think the right answer is. Results are returned immediately with no email gate on the score itself.

What inputs do I need for the AEO Pipeline ROI Calculator?

You need six inputs: target AI query volume (we provide a lookup table by category if you do not have your own data), current and projected citation share, expected click-through rate from AI surfaces, your visitor-to-MQL conversion rate, your MQL-to-opportunity rate, and your average deal value. Every input has a sourced default you can accept or override.

How is the AI Citation Share Benchmark different from generic AI visibility tools?

Generic tools report a visibility score without context. The benchmark comparator reports your citation share against a named peer cohort in your category, using a query universe you can inspect and edit. The difference is interpretability: a finance partner can question the inputs, which is the test any pipeline-attached metric needs to pass.