How to add effective prompts to your AI tracking

The insights you get from Zicy are only as good as the prompts you track. Track the wrong prompts and you will see zero brand mentions, not because AI does not know your brand, but because you are asking questions where AI has no reason to recommend anyone. The key question is simple: would AI naturally need to name specific brands to answer this prompt?

If someone asks how to improve their fitness, AI gives general advice and names no brands. If someone asks for the best gym near downtown Manhattan, AI recommends specific gyms, and your brand could be one of them. That is the difference between tracking prompts that matter and tracking prompts that waste your time.

The prompt is your measurement instrument. A sloppy one gives you noise.

• Phrasing changes the result: list and keyword-style prompts shifted brand visibility by around 20% to 25% versus conversational wording, while prompt length made almost no difference (Peec AI, 37,804 responses across 5 engines, 2026).
• Answers are unstable: identical prompts changed a model's final recommendation up to 40% of the time (Journal of General Internal Medicine, 6 models over 5 runs, 2025), and re-running a day later changed about 65% of cited sources (Schulte, Bleeker and Kaufmann, arXiv, 2026).

Track prompts that mirror how buyers really ask, and run each one several times.

Effective prompts share one trait: buying intent. These are answer-intent queries, questions from people ready to choose, compare or purchase, not people casually researching.

Questions AI will not name brands for:

• What are the benefits of skincare routines?
• How often should I work out?
• What makes a good running shoe?

Questions AI will name brands for:

• What is the best moisturiser for oily skin?
• Which gym has the best classes in London?
• What running shoes are best for marathon training?

The second set asks for recommendations, so AI has to name names.

Track buying-intent prompts, not idle curiosity.

• Cover the funnel: awareness (what is X), comparison (best X for Y, X vs Z) and decision (X pricing, X near me).
• Be specific: name a product, category, use case and, for local businesses, a location, so a brand can naturally appear.
• Mirror real language: use the phrasings your buyers actually type, since phrasing moves visibility as much as it does (Peec AI, 2026).

Different businesses need different prompt styles. A quick way to identify yours:

• If you sell products you make (skincare brand, furniture manufacturer, food brand), track product-comparison prompts: what is the best product for a given need.
• If you sell other brands' products (electronics store, fashion retailer, online marketplace), track sourcing prompts: where can I buy a product, or what is the best store for a category.
• If you provide services (gym, salon, agency, clinic), track service-recommendation prompts: what is the best service in a location.

This distinction matters. If you are a phone retailer tracking the best smartphone, AI will name Samsung and Apple, not your store. You would want where can I buy phones in your city instead.

Example 1: a yoga studio in New York

This is a local service provider, so prompts need location and service focus.

Effective prompts:

• What is the best yoga studio in New York?
• Which yoga class is best for beginners in Brooklyn?
• Where can I find hot yoga classes in Manhattan?

Will not generate brand mentions:

• What are the benefits of yoga?
• How often should I do yoga?

Example 2: a skincare brand

This is a product manufacturer, so prompts should focus on product comparisons and use cases.

Effective prompts:

• What is the best vitamin C serum for sensitive skin?
• Which moisturiser is best for humid climates?
• What are the top anti-ageing serums this year?

Will not generate brand mentions:

• How do I build a skincare routine?
• What ingredients should I avoid?

Zicy generates prompts automatically based on your business profile, which gives you a strong starting point covering your main products, services and markets. But you know your business best. After reviewing the auto-generated prompts, consider:

• Focus areas: are there specific products or services you want to push?
• Target audiences: do you serve specific groups (families, professionals, beginners) worth tracking separately?
• Angles: are there unique selling points (affordable, premium, eco-friendly) that customers search for?
• Local nuances: are there neighbourhood-level or regional terms your customers actually use?

Think of it as a collaboration: AI handles the heavy lifting, and you refine based on what actually matters to your business.

A workable design:

1. Size it: 20 to 40 prompts to start, or 75 to 150 for a competitive benchmark against three to five rivals (SE Ranking, 2026; LSEO, 2026).
2. Repeat each: run every prompt about five times; resampling drives roughly a third of all answer variance, and a sixth run adds almost nothing (Zatuchin, arXiv, 12,933 responses, 2026).
3. Cover every engine: only 2.7% of cited domains appear on all five engines (SurfacedBy, 127,198 citations, 2026), so track ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode separately.
4. Fix the locale and persona, and re-run on a schedule so a snapshot becomes a trend. A one-time pull is a single roll of the dice; a stable, repeated prompt set is the feedback loop behind Growth.pro's AI Citation Enablement practice.

Before adding a prompt, ask:

• Would AI need to recommend specific brands to answer this?
• Does it reflect buying intent, not just curiosity?
• Does it match your business type (product, store or service)?
• If you are local, is the location included?

Track fewer, better prompts. Ten well-chosen prompts will give you more actionable insights than fifty generic ones.