NBA · Share of LLM

Track your citation share automatically.

Share of LLM measurement is currently a manual 2-3 hour quarterly exercise. NBA automates it weekly with the Status / Ask / Approve loop. See your citation delta. See the asks. Approve. NBA does the rest.

Why SoL needs to be weekly

Share of LLM is the B2B visibility metric in 2026. Citation share compounds: AI engines re-cite trusted sources, so winning citations early creates a moat. Measured quarterly, you see the trend three months late. Measured weekly, you see the trend in real time and can optimize against it.

NBA tracks SoL as a native workflow. Status reports weekly delta. Ask surfaces the highest-leverage optimizations. Approve executes the work.

How NBA tracks citation share automatically

Manual Share of LLM tracking takes a marketing team 2 to 3 hours per quarter. NBA does it daily, automatically, across every surface, with the data piped into the same dashboard your team already uses for paid and organic metrics.

StepWhat NBA doesOutput
1. Query setYou define 25 to 100 buyer queries. NBA runs them daily on a fixed cadence.Citation baseline established on day 1.
2. Surface coverageNBA runs queries on ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.Five-surface coverage on every query.
3. Citation extractionNBA parses each AI response for brand mentions, position, sentiment, and surrounding context.Granular citation data, not just a "yes/no cited" flag.
4. Competitive contextNBA tracks the same queries for your top 3 to 5 competitors.Relative SoL, not absolute. You see when a competitor is gaining on you.
5. Dashboard surfaceDaily, weekly, and quarterly views. Anomaly alerts when SoL drops 10%+ week-over-week.Your team sees citation share the way they see paid CPC: continuously.

Daily, weekly, quarterly views

The right cadence depends on what you're doing with the data.

  • Daily view. For active programs in competitive categories. Spot anomalies fast (a competitor launches new content, a model retrains and citation share moves). The marketing lead checks the daily view as part of their morning rhythm.
  • Weekly view. For most B2B teams. Compounds enough signal to see trend without daily noise. Weekly view is what gets shared in Friday status updates.
  • Quarterly view. For board reporting and strategic planning. Trend lines stabilize at the quarterly cadence. Quarterly SoL is what gets benchmarked against revenue, conversion, and pipeline metrics.

Five-surface integration

NBA covers the five surfaces that matter for B2B in 2026. Each surface has its own quirks and NBA normalizes them so you can compare cleanly.

SurfaceCoverageNote
ChatGPTGPT-4, GPT-4o, GPT-5 (when generally available). Multiple temperatures for stability.Largest share of B2B research traffic in 2026.
ClaudeClaude 3.5, Claude 4, Claude Opus, Claude Sonnet 4.5, Claude Sonnet 4.6.Strong on research-mode queries. Cited heavily in technical B2B.
PerplexityPro and free tiers. Sonar models.Citation-first interface. Often the highest-citation-density surface.
GeminiGemini 2.5, Gemini 3.0. Integrated with Google Search.Rising share. Particularly strong in enterprise Google Workspace environments.
Google AI OverviewsStandard query coverage with AI Overview enabled.The bridge between organic SEO and SoL.
FAQ

Frequently asked questions

What does NBA measure for Share of LLM?
NBA runs a fixed set of 25 buyer-relevant queries against ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews on a weekly cadence. It scores citation (3 points), mention (1 point), and missing (0 points), then indexes the result against the prior week and prior quarter to surface the trend.
How does NBA improve SoL automatically?
NBA surfaces optimization asks in priority order based on which moves would shift citation share the most. The ask queue is ordered by expected SoL lift. The marketing leader approves the asks they want executed. NBA then runs the underlying work, answer-snippet rewrites, FAQ schema injection, statistical density passes, expert quote insertion, llms.txt updates, entity consistency sweeps.
Can I measure SoL without NBA?
Yes. The manual method takes 2-3 hours per quarter. The full playbook is published at innovativegroup.io/share-of-llm/. NBA is for marketing leaders who want the measurement and the optimization workflow automated against an agentic operating model.
Is SoL the same as AEO?
SoL is the metric. AEO (Answer Engine Optimization) is the discipline of work that raises SoL. NBA runs both: it measures SoL weekly and surfaces AEO optimization asks against the measurement.
Does NBA replace manual Share of LLM tracking?
Yes for most B2B use cases. NBA runs the daily measurement, surfaces the analysis, and alerts on anomalies. Manual measurement still has a role for one-off competitive deep dives or for quality-checking the automated pipeline. Most teams find the manual cadence drops to once per quarter once NBA is operational.
How does NBA handle private or gated AI surfaces?
NBA respects each surface's terms of service and rate limits. We don't scrape gated surfaces or bypass paywalls. For enterprise versions of LLMs (ChatGPT Enterprise, Claude Enterprise), we recommend running the NBA query script through the customer's own account to capture the surface they actually see.
What if our buyer queries change over time?
Most teams update their query set once per quarter. NBA makes this easy: you can mark queries as deprecated, add new ones, and NBA preserves the historical data so trend lines stay coherent. The most common reason to update: when sales hears a new question pattern in customer calls.
Can NBA track Share of LLM for our competitors too?
Yes, and it should. Relative SoL is the metric that matters when you walk into a board meeting. NBA tracks your top 3 to 5 competitors on the same query set, normalized to absolute citation counts and to your baseline. You see when a competitor lifts above you on a specific query within 24 hours of the change.
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Track citation share weekly.

Stop measuring SoL manually once a quarter. Let NBA run it weekly with the Status / Ask / Approve loop.

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