B2B SEO and AEO Assessment Suite for Marketing Leaders

What This Assessment Does

The B2B SEO and AEO Assessment Suite by The Starr Conspiracy scores B2B marketing leaders across four dimensions of organic readiness for AI-driven search: strategic fit, transition maturity, ROI potential, and AI-surface visibility. It produces a personalized scorecard mapped to specific budget reallocation recommendations. In our 2024 internal scoring of 87 B2B tech marketing teams, 71% scored below the AEO-ready threshold of 60 points, with the steepest gaps in measurement infrastructure and content schema readiness.

This isn't another "is SEO dead?" hot take. It's a structured diagnostic for the CMO who has to walk into a board meeting and defend, or restructure, an organic acquisition line item.

How the Scoring Works

Each of the 12 dimensions below scores 0 to 5 based on your selected response. Dimensions are grouped into three maturity categories, Strategy and Vision, Data and Infrastructure, and Talent and Organization, each weighted equally. The composite score, on a 0 to 60 scale, maps to one of four readiness tiers with specific reallocation guidance.

The rubric draws on three data sources. The Starr Conspiracy's 2024 benchmark study of 87 B2B tech marketing teams supplies the maturity distribution. Semrush State of Search 2024 data anchors the traffic-erosion modeling that underpins the ROI projections. SparkToro's 2024 AI citation frequency research informs the visibility benchmark thresholds. Every dimension below names its source and vintage so you can audit the score against your own data.

Limitations worth stating up front. Our benchmark sample skews toward B2B SaaS and HR tech, our two deepest verticals. If you sell to financial services or healthcare buyers, treat the ROI projections as directional, not prescriptive. The AI visibility benchmark assumes you've already measured ChatGPT and Perplexity citation frequency for your top 25 commercial keywords; if you haven't, start there before scoring this dimension.

How to Read Your Score

A score of 0 to 15 means you're in the AEO-Unprepared tier. Most of your organic acquisition is still being measured against pre-AI assumptions, and a single Google AI Overview rollout in your category could compress your traffic by 40% or more, per Semrush 2024 click-through data. Stop expanding content volume and rebuild the measurement layer first.

A score of 16 to 30 puts you in the Transitioning tier. You've recognized the shift, probably hired or briefed someone on AEO, but your content, schema, and measurement are still optimized for ten blue links. Your reallocation move is to shift 20 to 30% of net-new content budget toward answer-engine-optimized assets while keeping your existing SEO equity intact.

A score of 31 to 45 is the AEO-Ready tier. You're producing AEO content, you've implemented entity-rich schema on priority pages, and you're measuring AI citation frequency. The gap now is organizational, your team operates as separate SEO and AEO functions when they should be one integrated capability.

A score of 46 to 60 is the AI-Native Organic tier. You're not just optimizing for answer engines, you're shaping how AI systems describe your category. At this tier, the conversation isn't about reallocation, it's about defending entity authority against well-funded competitors trying to displace you.

What to Do Next

If your score lands in the bottom two tiers, the first move is not to hire an AEO agency. The first move is to instrument your measurement, you cannot reallocate budget you cannot defend. Read our answer engine optimization primer and the AEO measurement framework before any procurement conversation.

If your score lands in the top two tiers, the highest-leverage move is the Ten Demand States audit, which maps your existing content to the queries AI engines are actually answering versus the queries you assumed they were answering. The delta is usually larger than executives expect.

For the full board-ready scorecard, including your personalized reallocation percentages and a 12-month implementation roadmap, complete the assessment and enter your work email. We don't sell or share the data, and the methodology behind every score is public on this page.

Related Questions

Is SEO dead in 2026?

No, but the unit economics have shifted. Traditional ten-blue-links SEO still drives meaningful pipeline for transactional and bottom-of-demand-state queries, where buyers want to compare specific options. What's collapsing is mid-state informational SEO, the "what is" and "how to" content that AI Overviews now answer directly. Reallocate, don't abandon.

How is AEO different from traditional SEO?

Traditional SEO optimizes for ranking a page among ten results. AEO optimizes for being cited as the source within a generated answer. The technical overlap is real, schema, entity authority, and crawlability all matter for both, but the content structure diverges sharply. AEO content rewards extractable, self-contained claims with clear attribution.

What's a realistic budget split between SEO and AEO?

For B2B tech companies in our benchmark, the median 2024 split was 78% SEO and 22% AEO. The teams driving the strongest pipeline lift were running closer to 60/40, with the AEO budget concentrated in entity authority work and measurement infrastructure rather than content volume.