OYN — GUI Deep Research Prompts

For: Gemini Deep Research, ChatGPT Deep Research, or Perplexity Pro Date: March 3, 2026

Use these in browser deep-research agents (not API). Goal: high-quality multi-step research with sources you can act on.

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Prompt 1: Channel & Intent — Keywords, Ad Libraries, UK Distribution

I'm building OYN (Own Your Numbers), the first AI financial advisor in the Xero ecosystem.
Unlike dashboard/template tools, OYN does the thinking: runway + risk, trend detection, and
specific actions (e.g., "Chase Randstad for £25k — 15 days overdue").

Target buyers: UK bookkeepers, accountants, and virtual FDs managing multiple Xero entities.
Pricing: £29-39/month.

Do comprehensive channel + intent research:

1) KEYWORD RESEARCH (UK)
- Build long-tail clusters from seeds:
  "xero reporting", "xero management accounts", "xero multi-entity", "xero consolidated accounts",
  "virtual FD tools", "automated management reporting", "xero cash flow", "bookkeeper reporting software UK",
  "fathom alternative", "syft alternative".
- For each cluster: UK monthly volume (estimate), competition (high/med/low), intent stage,
  CPC if available, and recommendation (content, ads, or both).
- Include quick-win long-tail opportunities with lower competition.

2) GOOGLE TRENDS + SEARCH SIGNALS
- Use Google Trends (UK, last 12 months) to classify topics as rising/falling/seasonal.
- Use Google autocomplete + People Also Ask for real search phrasing.
- Use question mining sources (e.g. AnswerSocrates) to identify FAQ-style content opportunities.

3) AD LIBRARY ANALYSIS
- Search Google Ads Transparency Center + Meta Ad Library for:
  Fathom, Spotlight Reporting, Syft, Joiin, Float, Dext/Xavier, Futrli/Fluidly.
- Extract active messaging, offer style (trial/demo), landing page themes, and positioning gaps.

4) DISTRIBUTION PRIORITY RANKING
- Rank channels for a bootstrapped SaaS (<£1000/mo):
  Xero App Marketplace, SEO, LinkedIn organic, LinkedIn paid, Reddit/forums, Google Ads,
  Facebook/Instagram, partner channels, cold outbound.
- For each: cost to test, time to first signal, competitor density, and expected lead quality.

5) SEARCH INTENT GAPS
- Where competitors are weak or absent:
  weak content, missing comparisons, unanswered high-intent questions.

Output format:
- Structured report with tables, specific numbers, source URLs,
- Top 10 quick-win keywords,
- 90-day channel plan.

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Prompt 2: Content Repurposing — Platform Discovery First (No Assumptions)

I'm building OYN (Own Your Numbers), an AI financial advisor for Xero users.
My cofounder Ciaran posts on LinkedIn about reporting, management accounts, cash flow,
and virtual FD services.

I do NOT want a prescriptive "post everywhere" answer.
I want you to discover which platforms are actually worth repurposing to for our ICP.

IMPORTANT CONSTRAINTS:
- Do NOT assume Instagram/TikTok/X/Facebook are automatically right.
- Start from audience evidence, not platform popularity.
- If a platform is weak for our ICP, explicitly say "do not prioritise".

Research scope (2025-2026):

0) SOURCE CONTENT AUDIT (FIRST)
- Start by analyzing Ciaran's actual public LinkedIn content patterns before recommending channels/tools.
- Identify recurring content pillars (e.g., management accounts, cash flow, profitability, founder finance decisions), post formats, tone, and hook styles.
- Infer which formats are easiest to repurpose with minimal quality loss (text post, carousel, short explainer clip, Q&A).
- Do NOT design strategy disconnected from his real source content style.

1) ICP PLATFORM DISCOVERY (FIRST)
- Identify where UK bookkeepers, accountants, and virtual FDs actually consume and engage with content.
- Rank platforms by ICP density and intent quality.
- For each platform, provide evidence: audience fit, engagement patterns, B2B conversion plausibility,
  and examples of comparable creators/businesses succeeding there.

2) PROVE OR DISPROVE CHANNELS
- Build a decision table:
  - Prioritise now
  - Test later
  - Ignore for now
- Include why each platform lands in that bucket.
- Add "what evidence would change this decision" (falsification criteria).

3) TOOL LANDSCAPE (DISCOVERY-LED)
- Only after platform prioritisation, discover tools relevant to the selected channels.
- Do NOT start from a fixed tool list; discover the landscape first.
- Then shortlist the top 10-15 tools by real-world usefulness for this exact use case.

4) EVIDENCE-BASED TOOL COMPARISON
For each shortlisted tool include:
- exact pricing tiers,
- strongest and weakest use cases,
- channel fit for our selected priority platforms,
- integration/API quality,
- notable risks (TOS/account bans/quality issues),
- real user sentiment (Reddit + G2 + Capterra + independent reviews).

5) OPERATING MODEL + BUDGET STACKS
- Propose practical workflows based on the channels YOU selected as priority.
- Define what is automated vs manually reviewed by Ciaran.
- Recommend stacks for:
  - Scrappy (<£50/mo)
  - Growth (£50-150/mo)
  - Scale (£150-300/mo)
- Include setup complexity, weekly throughput, and realistic time savings.

6) STRATEGIC RECOMMENDATION
- Recommend one primary stack for now, one backup stack, and one "do not use" stack.
- Include a 30-day validation plan with clear pass/fail criteria.

Output format:
- Platform evidence matrix,
- Prioritise/Test/Ignore table,
- Tool shortlist matrix,
- Budget stack recommendations,
- 30-day validation plan,
- Source URLs for all major claims.

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Prompt 3: ICP Discovery Only — Who Exactly We Target and How We Find Them

I'm building OYN (Own Your Numbers), an AI financial advisor for Xero users.
I only want ICP research + discovery mechanics in this task.

IMPORTANT CONSTRAINT:
- Do NOT include cold email sequence design, outreach copy, or campaign execution.
- We already have leadgen and cold outreach handled separately.
- Focus only on ICP definition and identification workflow.

Current discovery assumption:
- LinkedIn discovery + Vainu/Vayne-style enrichment workflow.

Research scope:

1) ICP SEGMENTATION
- Define high-value ICP segments in the UK:
  - practice owners/partners,
  - advisory-led accountants,
  - virtual FDs/fractional CFOs,
  - delivery leaders in accounting firms.
- For each segment:
  firm size, service model, client profile, likely buying trigger,
  decision-maker role, and expected deal potential.

2) TITLE/ROLE TAXONOMY
- Build robust title dictionary per segment (UK variants, synonyms, false positives).
- Include exclusion list to avoid low-fit profiles.

3) FINDABILITY FRAMEWORK (LINKEDIN + VAINU/VAYNE)
- Design exact process for identifying ICP via LinkedIn Sales Navigator + enrichment:
  - search filters,
  - account-level scoring inputs,
  - trigger signals,
  - fit scoring logic,
  - Tier A/B/C model.
- If recommending scraping workflows, include legal/TOS risk and safer alternatives.

4) 20+ SAVED SEARCH BLUEPRINTS
- Provide at least 20 query templates with:
  titles, keywords, geography, company size, industry filters,
  activity signals, and exclusion terms.

5) ICP QUALITY ASSURANCE
- Define validation checklist:
  how to verify segment fit, common misclassification errors,
  and weekly query tuning process.

Output format:
- ICP matrix,
- title dictionary,
- discovery workflow SOP,
- saved-search library,
- source URLs.

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Prompt 4: Forum Monitoring — Ongoing Authority Engine for Ciaran

I'm building OYN (Own Your Numbers), an AI financial advisor for Xero users.
My cofounder Ciaran (virtual FD) should become a recognized authority in forums where UK
bookkeepers/accountants/FDs discuss reporting pain.

Research and produce a complete forum authority playbook:

1) COMMUNITY MAP
- Identify relevant communities:
  Xero Community, AccountingWEB, Reddit (r/xero, r/bookkeeping, r/accounting, etc.),
  LinkedIn groups, other UK accounting communities.
- For each: activity, audience quality, moderation rules.

2) THREAD OPPORTUNITY TYPES
- What recurring high-intent thread patterns should we target?

3) MONITORING TOOL STACK
- Compare F5Bot, Google Alerts, Mention, Brand24, Awario, Syften, etc.
- Include pricing, coverage, noise level, and recommendation by budget.

4) RESPONSE WORKFLOW
- AI identifies thread → draft response → Ciaran final voice + post.
- Include SLA and tracking model.

5) SUCCESS METRICS
- Define practical KPIs for authority + pipeline impact.

6) EXAMPLE RESPONSES
- 5 high-quality, non-salesy draft responses Ciaran can adapt.

Output format:
- Full playbook with sources, templates, and weekly cadence.

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How To Use These Prompts

1. Open Gemini Deep Research / ChatGPT Deep Research / Perplexity Pro.
2. Run one prompt at a time.
3. Save output into oyn-gtm repo under research outputs.
4. Publish distilled findings to oyn.agentmaker.dev.

Recommended priority: 1) Prompt 3 (ICP Discovery) 2) Prompt 1 (Channel & Intent) 3) Prompt 4 (Forums) 4) Prompt 2 (Content repurposing)

This order gives fast ICP clarity first, then demand capture.