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AI Research Assistant

Produce sourced market, competitor and industry research reports from public information, with every claim traceable and uncertainty labelled.

Startup
£0
Earnings
Typically £150–£900 per research project
Difficulty
Intermediate
Time to start
2–4 Days

Offer structured research to businesses that need decisions supported by evidence: market overviews, competitor comparisons, industry summaries, supplier or partner shortlists, pricing landscapes and customer-language analysis. Everything is built from public, lawfully accessible sources, with each finding recorded against its source, date and confidence level. AI helps organise, summarise and structure material you have gathered; it never supplies facts of its own, and any gap is reported as a gap rather than filled with a guess.

76
Opportunity score

A deterministic assessment of this blueprint’s documented setup and execution profile. Confidence: 98/100.

Difficulty
55
Lower is easier
Affordability
100
Time fit
40
Scalability
100
AI leverage
100
Main strengths
  • Low stated startup cost supports affordability.
  • The blueprint contains concrete ways to scale delivery.
  • Included AI workflows can accelerate defined tasks with human review.
Key cautions
  • Execution complexity is the main risk; validate the smallest deliverable first.
  • The setup commitment may require a protected block of focused time.
Next best action

Define three research products you can deliver reliably, such as a competitor comparison, a market overview and a pricing landscape, each with a fixed structure and page range.

Why this score
  • £0 stated startup cost produces an affordability score of 100/100.
  • Intermediate difficulty produces an execution-difficulty score of 55/100.
  • 2–4 Days stated setup time produces a time-fit score of 40/100.
  • 7 canonical scale actions and 10 reusable commercial assets produce a scalability score of 100/100.
  • 5 included AI-assisted workflows produce an AI-leverage score of 100/100; human review remains required.
  • Intermediate complexity and 12 launch steps produce a risk score of 65/100; this is execution risk, not market probability.
  • 6 of 6 execution foundations are present in the blueprint, producing a readiness score of 100/100.
  • A clearly defined customer, problem, and deliverable.
  • A sample or portfolio item that demonstrates the exact service offered.
  • A written scope covering price, delivery, revisions, and responsibilities.
  • At least one real market conversation or structured user-feedback session.
  • A repeatable delivery process that another person could understand.

Reduce the offer until you can explain the customer, deliverable, deadline, and price in one sentence.

Use AI for drafts and acceleration, not as a substitute for fact-checking, permissions, or judgement.

Sell a small, low-risk first project before proposing a monthly retainer.

Track replies, objections, delivery time, revisions, and customer questions. Those signals determine what to improve.

Milestone 1
Offer defined
Milestone 2
Sample completed
Milestone 3
First market conversation
Milestone 4
First paid result
Milestone 5
Process documented

Milestone status is estimated from your delivery-checklist progress. Complete the checklist below to advance the tracker.

Google Search
Free or free tier
Google Scholar
Free or free tier
Companies House
Free or free tier
ONS statistics
Free or free tier
Google Sheets
Free or free tier
Google Docs
Free or free tier
ChatGPT
Free or free tier
Zotero
Free or free tier
  1. 1
    Step 1

    Define three research products you can deliver reliably, such as a competitor comparison, a market overview and a pricing landscape, each with a fixed structure and page range.

  2. 2
    Step 2

    Choose a sector you can navigate quickly and learn where its credible public information lives: regulators, trade bodies, official statistics, company filings, annual reports and reputable trade press.

  3. 3
    Step 3

    Write your evidence standard: what counts as a primary source, what counts as secondary, what is excluded, and how old a source may be before it must be re-checked.

  4. 4
    Step 4

    Build a source-log template capturing claim, source name, direct link, publication date, access date, source type and confidence rating.

  5. 5
    Step 5

    Adopt an uncertainty scale, for example Confirmed, Probable, Indicative and Unknown, and define exactly what each level requires before it may be used.

  6. 6
    Step 6

    Set your access rules: use only lawfully accessible public information; do not bypass paywalls, logins, rate limits, platform terms or restricted databases; and do not gather personal data beyond legitimate business contact details.

  7. 7
    Step 7

    Create the report skeleton: brief, method and sources, key findings, detailed sections, contradictory evidence, gaps and limitations, and recommended next steps.

  8. 8
    Step 8

    Design a client brief form that pins down the decision being made, the questions to answer, the geography, the timeframe and the deadline.

  9. 9
    Step 9

    Run one small paid pilot such as a five-competitor comparison, then time each stage to price future work accurately.

  10. 10
    Step 10

    Deliver each project with the report, the full source log, and a short verbal or written walkthrough of the findings and their limitations.

  11. 11
    Step 11

    Store project files and sources so a client can return months later and see exactly where a figure came from.

  12. 12
    Step 12

    Review your method after each project and remove any step that did not improve the quality of the decision.

Your execution assistant

Personalize prompts with your information, review the completed preview, and copy them into your preferred AI tool.

AI prompt
Research Plan Builder
I am scoping a research project. Decision to be supported: {DECISION}. Questions: {QUESTIONS}. Market and geography: {MARKET}. Build a research plan listing: sub-questions, the type of public source likely to answer each, search terms to try, the order of work, and the risks of relying on each source type. Do not provide any facts, figures or findings yourself — plan only.
AI prompt
Competitor Comparison Structurer
Organise the competitor information I have gathered into a comparison table with these columns: competitor, positioning, target customer, stated pricing, notable features, apparent strengths, apparent weaknesses, source, and confidence. Use only the material below. Where a cell has no evidence, write 'Not found' rather than estimating. Gathered material: {RESEARCH_NOTES}.
AI prompt
Source Quality Auditor
Assess the quality of each source listed below. For each, state: source type, likely bias, currency of the information, whether it is primary or secondary, and how much weight it should carry. Then list which of my claims currently rest on weak evidence and would need a stronger source before being included in a client report. Sources and claims: {SOURCE_LIST}.
AI prompt
Findings Summary Writer
Write the executive summary for a client research report using only the confirmed findings below. Structure: the decision being supported, five key findings each with its confidence level, contradictory evidence found, what remains unknown, and recommended next steps. Do not add facts, figures, statistics or sources that are not in the input. Confirmed findings: {FINDINGS}.
AI prompt
Uncertainty and Gap Reviewer
Review the draft research report below as a critical reader. Identify: claims stated with more certainty than the evidence supports, figures presented without a source, generalisations from a single example, missing counter-evidence, and questions the client will ask that the report does not answer. Return a prioritised fix list. Draft: {REPORT_DRAFT}.
Snapshot
£150–£250
5-competitor comparison · source log · 3–5 pages
Market Overview
£300–£500
Sector summary, trends and pricing landscape · 8–12 pages
Decision Report
£550–£900
Multi-question research · contradictory evidence · walkthrough call
Research Retainer
£400–£800/mo
Ongoing monitoring · monthly briefing · ad-hoc question support
Execution progress0%
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