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How we build prompt sets - the Golden Prompt Set methodology

We build a Golden Prompt Set (GPS) for every customer category by grounding on four real-world signals: intent volume across major search and marketplace surfaces, trending questions from leading public community platforms, AI query volume signals, and live follow-up questions from supported surfaces where reliable. Every prompt we hand you carries projected query volume and source provenance so you can prioritize questions your buyers actually run - not the ones marketers wish they ran. We publish this methodology in full because prompt selection is the single biggest determinant of AEO data quality. If we're tracking the wrong prompts, every chart in your dashboard is wrong - so we'd rather you evaluate how we choose before you sign than after.

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Questions this guide answers

  • How does SolCrys choose which prompts to track?
  • What is the Golden Prompt Set?
  • How does SolCrys decide which prompts to monitor for my brand?
  • Where do SolCrys's prompt sets come from?

Direct answer

We build a Golden Prompt Set (GPS) for every customer category by grounding on four real-world data sources: intent volume across major search and marketplace surfaces, trending questions from leading public community platforms, AI query volume signals, and live follow-up questions from supported surfaces where reliable. Every prompt we hand you carries projected query volume so you can prioritize the questions your buyers actually run, not the ones marketers wish they ran.

We treat prompt selection as the single biggest determinant of AEO data quality. If we track the wrong prompts, every chart in your dashboard is wrong - so the rest of this page explains exactly how we choose, what we deliberately exclude, and how you can audit our selection.

Three failure modes we built the GPS to avoid

We've watched AEO prompt selection go wrong in three specific ways. The GPS exists to avoid all three.

Failure modeWhat goes wrongWhat buyers experience
Synthetic keyword listsTools pull SEO keywords and reformat them as questions ('best [X]?', '[X] vs [Y]?'). They look like prompts but don't match how buyers phrase questions to AI assistants.'Why is my AEO tool tracking 200 prompts but I never see traffic move when I fix things?'
Customer-only promptsTools rely entirely on customer-supplied prompts. Marketers tend to ask brand-flattering questions; real buyers ask harder, more skeptical ones.'Our SOV looks great but our pipeline isn't growing.'
LLM-generated synthetic promptsTools prompt an LLM to 'generate 100 questions a buyer might ask.' This produces plausible-sounding but volume-unverified queries - many are never actually asked.'We're tracking lots of prompts but only 3 of them seem to drive any decisions.'

The four grounding sources

Every GPS is built from four grounded data sources. A prompt only enters the GPS if it can be evidenced from at least one source - preferably more than one.

Source 1: Organic intent volume across major search and marketplace surfaces

We start with organic intent-volume data across the customer's category, covering general web search and, for ecommerce categories, marketplace-side search behavior. The exact data composition draws on multiple aggregate sources and partnerships and is tuned per category; we treat the supplier mix as part of our internal methodology.

Intent volume is the closest public proxy to real demand. A query asked at high volume in conventional search is highly likely to be asked in similar form in AI assistants. The phrasing differs - AI prompts are longer and more conversational - but the underlying intent is the same. We convert each intent-volume query into a prompt-style phrasing and add buyer context, comparative framing, and follow-up structure that AI assistants tend to elicit.

Source 2: Trending consumer questions from public community platforms

Intent volume tells us what people search. Communities tell us how they actually phrase questions when asking other humans, which is much closer to how they ask AI.

We continuously monitor leading public community platforms in the customer's category - the discussion forums and Q&A sites where buyers ask category questions of other humans. The platform mix varies by industry and is tuned per category as part of our internal methodology. Public community Q&A is consistently among the most-cited source layers in AI answers; multiple third-party citation studies place community-discussion sites in the top tier of ChatGPT and Perplexity citations.

Real AI-search prompts are typically much longer than typed search queries - multi-clause, conversational, and explicitly problem-stated. Community-grounded prompts close that gap because human-to-human Q&A in communities phrases questions the same way humans phrase them to AI.

Source 3: AI query volume signals

Direct AI query volume data is not fully public yet, but it is no longer guesswork. We aggregate signals from a combination of public engine disclosures, third-party research, and SERP-side trigger data, drawing on multiple aggregate sources rather than any single supplier. Specific input mix is part of our internal methodology.

Some queries are far more common in AI assistants than in traditional search - especially long, conversational, multi-clause questions. These queries don't show up in keyword-planner-style tools but dominate AI engine traffic. SEO-keyword-only prompt sets miss them entirely.

Source 4: Live follow-up questions from answer engines

This is the source most platforms don't use, and it's where the GPS gets its edge. When a user asks ChatGPT, Alexa for Shopping, Perplexity, or Google AI Overviews a question, the engines themselves often suggest follow-up questions. These follow-ups reflect the engine's own model of 'what users ask next,' expose the prompt journey from question to comparison to risk validation to recommendation, and surface buyer-stage transitions that pure search data cannot see.

We capture follow-ups from the rendered consumer-surface output of each engine, from marketplace-side AI assistant follow-up Q&A, and from supported SERP surfaces' 'People also ask' expansion. See the companion Visibility Measurement methodology for the broader capture approach.

What a Golden Prompt Set looks like in practice

The GPS candidate library for a category is usually larger than the set a workspace actively tracks. The tracked benchmark should match the customer's plan and scope: current public brand plans track 10 prompts on Free, 20 on Starter, and 60 on Pro; Agency plans track 30 prompts per client organization; Enterprise scope is confirmed during evaluation. The mix below is a design target for a generic B2B SaaS category, not a survey result. Actual mix is tuned per industry and per customer.

Prompt typeTarget mixIllustrative exampleTypical sources
Category leadership~20%Who are the top CRM platforms for B2B SaaS in 2026?Intent volume + AI query signals
Comparison~25%How does HubSpot compare to Salesforce for a 50-person team?Engine follow-ups + community signals
Use case fit~20%Best CRM for SaaS with a 6-month sales cycleCommunity signals + intent volume
Risk / objection~10%What are the downsides of HubSpot for enterprise sales teams?Community signals
Implementation~10%How long does Salesforce implementation take for a mid-market company?Intent volume + community
Brand-specific~15%Is [your brand] worth the price?Customer-supplied + brand mentions

The metadata we attach to every prompt

Examples above use well-known public products purely for illustration. They are not taken from any specific customer's prompt set - your prompts stay private to your workspace. For every prompt in your GPS we attach metadata so you can prioritize.

  • Projected query volume - our estimate of monthly run frequency on AI engines.
  • Buyer journey stage - awareness, consideration, decision, or risk validation.
  • Engine relevance - which AI engines this prompt is most likely to appear on, based on engine-specific patterns we've observed.
  • Source provenance - which of the four grounding sources brought this prompt into your set, so you can audit our selection.

How your own prompts blend in

We treat the GPS as the foundation, not the whole thing. You know your buyers in ways we don't, so every workspace - including the Free AI Visibility Audit - lets you supply your own prompts as an alternative to, or alongside, the GPS. We default to running the GPS directly because it produces a more intent-aligned baseline than prompts drafted from scratch: every GPS prompt is grounded in our four-source evidence model, so customers who don't have time to author prompts still get a rigorous starting set. In ongoing workspaces, you can replace any GPS prompt with your own at any time, and our in-app suggestion panel recommends additions based on gaps in your current set, trending category discussion, and engine follow-ups we found in your own tracked responses.

The prompt sanity-check workflow is [coming soon]. Today, we treat off-topic prompts, brand-flattering prompts without comparative context, and duplicate prompts as review criteria during setup and customer review. When this ships in-product, flags will be guidance rather than gating.

How we keep the GPS stable

The GPS is designed to be a stable measurement benchmark, not a real-time prompt rewrite engine. Prompt changes are handled as review items with the customer during onboarding, regular measurement reviews, customer-requested replacements, or clear category changes such as a new entrant, pricing shift, or major news event.

Review momentWhat changes
Onboarding / workspace setupPrompt fit is reviewed with the customer before the benchmark is established.
Regular measurement reviewWe revisit prompt fit, commonly monthly, without changing tracked prompts automatically.
Customer-requested replacementCustomers can replace prompts; unchanged prompts keep historical trend lines.
Category changeMajor news, new entrant, pricing change, or category spike can trigger a suggestion review.

What we are explicit about not promising

We've written this section because we'd rather you know the limits up front than discover them in your second quarter with us.

  • We don't promise the GPS guarantees revenue lift. A perfect prompt set doesn't fix weak content or thin brand presence; it just measures the right things.
  • We don't claim to replace human judgment. The slot we reserve for your own prompts exists because you know your buyers in ways we don't.
  • We don't generate prompts from a single LLM. We refuse to ask one model to 'write 100 questions a buyer might ask' and call it research. Every prompt in your GPS has external evidence we can show you.
  • We don't automatically change tracked prompts without approval. Prompt revisions are handled as review items with your team; newly added prompts start their own measurement history.

Why we publish this methodology

Most platforms in our category keep prompt-selection methodology opaque. We publish ours because trust is our product - if you don't trust how we chose your prompts, every chart we show you is meaningless. We want this methodology to be falsifiable: open any prompt in your GPS and we'll show you which of the four sources surfaced it. We want you to evaluate us before you sign, not after.

FAQ

How is the Golden Prompt Set different from just using SEO keywords?

SEO keywords measure what people type into a search box. AI prompts are longer, more conversational, and increasingly bypass conventional search engines entirely. SEO keywords are one input to the GPS; the other three (community questions, AI query volume signals, engine follow-ups) capture the parts of buyer behavior that SEO data does not see.

How many prompts should I be tracking?

Start with the tracked prompt budget included in your plan, then keep the set stable enough to measure over time. Current public brand plans track 10 prompts on Free, 20 on Starter, and 60 on Pro. Agency plans track 30 prompts per client organization, and Enterprise scope is custom. The GPS framework can generate additional candidate prompts, but the prompts you actively track are the benchmark.

Can I track prompts in languages other than English?

Currently the GPS supports English-language prompts across English-dominant markets (US, UK, Canada, Australia). Multi-language GPS support is on the roadmap; please contact sales for current localization availability.

Do you share my custom prompts with anyone?

No. Customer-supplied prompts are private to your workspace and never used to update other customers' GPS templates. Industry-template GPS updates are derived from public sources only.

How do you verify a prompt is actually asked by real buyers and not just an SEO artifact?

We require evidence from at least one of the four grounding sources before a prompt enters the GPS, and we prioritize prompts evidenced by two or more sources. Synthetic SEO-only prompts are de-prioritized during selection and should not enter the tracked GPS unless they are supported by real evidence from the grounding sources above.

What happens to my historical data if the GPS template updates?

Your tracked prompts don't change unless you approve the change. Prompt revisions are handled as review items with your team; historical trend lines for prompts you keep tracking stay continuous, while newly added prompts start their own measurement history.

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