How many prompts do I need to track a category accurately?

For most categories, 30 to 60 prompts is the practical range for reliable category-level SOV data. Below 30, response variance in AI engines makes week-over-week comparisons unreliable. Above 100 prompts, you often have significant intent overlap that inflates counts without adding new signal. Start with 40 prompts, organized across awareness, comparison, and decision intent.

How often should I run my category prompt set?

Weekly is the right cadence for most categories. AI model updates, competitor content moves, and citation-source changes can shift your category SOV in days. Monthly tracking is too slow to diagnose the cause of a shift or respond to a competitor gaining ground. Run on a fixed day each week to keep comparisons clean.

Which AI engines should I include in category tracking?

Start with ChatGPT, Perplexity, and Google AI Mode. Add Gemini if your category has a significant consumer or Google-ecosystem audience. Each engine has different citation behavior, so single-engine tracking will give you a skewed picture. Only 11% of domains cited by ChatGPT overlap with those cited by Perplexity, which means your category SOV can look completely different depending on which engine you measure.

How do I calculate AI share of voice for my category?

The formula is straightforward: divide your brand's total citations across the category prompt set by the total brand citations across all prompts in the set, then multiply by 100. Run this calculation per engine. A brand might have 35% SOV on ChatGPT and 12% on Perplexity, which are two different competitive problems requiring different responses.

What's a good category AI share of voice benchmark?

In most competitive B2B categories in 2026, a share of voice between 20% and 40% across a well-constructed non-branded prompt set is strong. Above 40% typically indicates category dominance for that engine. Below 10% in a category you actively compete in is a signal that your content and source footprint are not registering with AI training and retrieval systems.

Can I track AI visibility without a paid tool?

Yes, manually, though it does not scale. You can run prompts directly in ChatGPT, Perplexity, and Gemini, record the responses in a spreadsheet, tag brand mentions, and calculate SOV by hand. This is viable for a set of 20 to 30 prompts across two engines but breaks down fast above that. Automated platforms like Promptive are worth the cost once your prompt set exceeds 40 queries or you're tracking more than two competitors.

What should I do when a competitor surges in category AI SOV?

Find the specific URLs being cited in the responses where they appear and you don't. Analyze the content structure: statistics with attribution, expert quotes, comparison tables, and cited sources are the structural markers of high-citation content. Then build a response asset targeting the same intent with stronger data and fresher structure. Also look at the third-party domains hosting that content: those are your highest-priority placement targets.

Does schema markup help with category AI visibility?

Yes, directly. While HowTo rich results were removed from Google SERPs in 2023 and FAQ rich results were removed in May 2026, both HowTo and FAQPage schema remain valid and help AI systems extract structured information from your pages more reliably. Article and BlogPosting schema provide publication date and author signals that AI engines use to assess content freshness and authority. Add schema to all category-relevant pages even though it no longer produces SERP rich results.

How to Track AI Visibility for an Entire Category (Not Just Your Brand)