Prompt strategy for AI visibility

AI visibility is prompt-specific. A brand can dominate "best CRM for startups" and disappear on "enterprise CRM comparison." VStok groups prompts by buyer intent — commercial, comparison, alternatives, product search, informational, local, and app-specific intents — so you see where you win and lose across the buyer journey.

Start by listing how customers actually discover tools in your category: category searches, head-to-head comparisons, alternative lists, feature-specific questions, and support-style queries. Map each question to an intent tag in VStok. This structure keeps dashboards readable and helps you prioritize content work by intent cluster, not individual keywords. Sales and support transcripts are an excellent source for prompt ideas — export recurring questions verbatim.

Commercial prompts mirror top-of-funnel discovery: "What is the best [category] software?" or "Top [category] tools for [audience]." Include variations with and without your brand name to measure organic recommendation share. These prompts usually drive the highest competitive pressure because answer engines list multiple vendors.

Comparison prompts are mid-funnel: "[Your brand] vs [Competitor]" or "Which is better, [A] or [B]?" Add both directions (you vs them and them vs you) when buyers search either way. Track at least two core rivals on comparison intents. When competitors win these prompts, create or improve dedicated comparison pages and ensure authoritative third-party sources mention your differentiators. Avoid biased phrasing that models may discount — keep questions neutral.

Alternatives prompts capture switcher demand: "[Competitor] alternatives" or "Tools like [Competitor]." They often produce list-style answers where missing your brand is a direct revenue leak. Product search prompts target specific features or use cases: "[category] with [feature]" — useful for long-tail positioning.

Informational prompts ("How does [category] work?", "What is [concept]?") measure thought-leadership presence. They may not drive immediate conversions but shape how models describe your category. Local prompts apply when geography matters — "best [service] in [city]" for regional brands. For mobile projects, use app_search, app_comparison, and app_alternatives intents to track store-discovery queries separately from web prompts.

Use Generate prompts in VStok to draft intent-balanced sets, then edit for natural language. Remove duplicate phrasing — models treat near-identical prompts as redundant, wasting AI check quota. On Starter you track 25 prompts; Growth allows 100 across three projects. Prioritize prompts tied to revenue pages and sales call themes.

Review prompt performance after each audit cycle. Retire prompts with stable, unchanging results if you need slots for new tests. Import Google Search Console queries on Growth and Agency to seed prompts from real search demand. Rebalance quarterly: add prompts for new product lines, competitor launches, and seasonal campaigns. Document changes so your team understands score movements between audits. Tag owners in your content calendar for each intent cluster you are trying to improve.