Knowledge base
Testing a policy message with Westminster and Brussels audiences
By Artificial Societies
Published
You test a policy message with Westminster and Brussels audiences by putting the draft to simulated MPs, officials, MEPs and journalists before any real one sees it. Artificial Societies, which models audiences as networks of AI personas, simulated 1,500 members of the Westminster bubble and 1,336 of the Brussels one before the October 2026 UK Budget: 38.6% of the Westminster audience picked the mansion tax extension as the measure most likely to be changed or dropped. For a global transportation leader, it tested policy narratives on 1,500 opinion leaders without a message reaching a live audience.
Why is a policy position hard to test with the people it is meant for?
A policy position reaches Westminster and Brussels through channels that are public by design. A Commons departmental select committee gathers written and oral evidence and publishes its findings, and the government usually has 60 days to reply (UK Parliament, read 9 November 2026). In Brussels, feedback on a Commission call for evidence, published on the “Have your say” portal, is open for four weeks, and a public consultation for 12 (European Commission, read 9 November 2026).
Each channel has more than one reader. A Commission proposal goes to a lead committee of the European Parliament, where a rapporteur drafts the report and each remaining political group appoints a shadow rapporteur (European Parliament, read 9 November 2026). The Council’s preparatory work runs through around 150 working parties and committees (Council of the EU, read 9 November 2026). A trade association’s position on one file can be read by the rapporteur, the shadows, a Commission policy unit, a Council working party and the trade press.
The UK government’s consultation principles tell departments to consult while a policy is at a formative stage, so your position matters most when it is least settled (Cabinet Office, updated 19 March 2018). Testing that draft on the officials it is written for spends the first impression you are preparing. In Artificial Societies’ Washington engagement, putting draft messages before policy influencers “would have changed the very debate the client was trying to understand”, as the transport-policy case study puts it.
How did Westminster and Brussels read the 2026 Budget?
Ahead of the UK Budget on 28 October 2026, a date HM Treasury confirmed on 31 July, Artificial Societies simulated how five audiences would read the measures reported for it, from investors to Brussels, and published one audience each weekday from 19 to 23 October in its Budget-week simulation.
For Westminster, Artificial Societies asked 1,500 simulated MPs, peers, advisers, civil servants, lobbyists and journalists five questions on 14 October 2026. Of those 1,500, 579 (38.6%) named the extension of the mansion tax to English homes worth over £1.5 million as the measure most likely to be changed or dropped within 12 months. The same measure led on rebellion risk, named by 38.1% as the most likely to make Labour MPs vote against or abstain against the whip; 22.9% expected no rebellion. The comments behind the answers tied reversal to valuation disputes and homeowner backlash.
For Brussels, Artificial Societies surveyed 1,336 simulated MEPs, Commission staff, think tanks and lobbyists on 14 October 2026, and ran 10 simulated interviews from MEPs to the unions. Of the 1,336, 777 (58.2%) said delaying the UK’s target of spending 3% of GDP on defence would most damage its standing with EU partners. On the pledge to reach 3% by 2030, 621 (46.5%) called it not very or not at all credible, and 486 (36.4%) called it credible.
The same Budget choice read differently in London and Brussels. Asked on 13 October 2026 how the government should improve the public finances by about £35 billion, 543 of 2,963 simulated UK adults (18.3%) chose delaying the 3% defence target. The simulated Brussels audience named that delay as the choice most damaging to the UK’s standing. A team advising on the defence line needs both readings before the Budget.
What did a policy narrative test in Washington find?
For a global transportation leader, Artificial Societies built a society of 1,500 AI personas, each matched one-to-one to a real individual using public data and social activity, according to the transport-policy case study. The personas spanned more than 360 organisations and 800 job titles. The test ran in three phases:
- 1.
Baseline attitudes.
- 2.
Blind tests of two competing narratives and their proof points.
- 3.
Exposure to damaging news coverage and hypothetical scenarios.
More than 170 questions produced 250,000 responses, and the study set out to show how reactions differed by party, gender and role. It diagnosed a standing credibility gap, identified the strongest narrative and proof points, and showed where each held up or collapsed under negative coverage. Results came back in three weeks as an advisory report on positioning, proof points and risk, with full access to Radiant, our platform, down to individual persona reactions. The study compared reactions to wording the client could still change, which is a different job from forecasting a vote or a regulator’s decision.
A second Washington society, 1,364 personas of policymakers, lobbyists, think tanks and political influencers, was one of three that Artificial Societies built for Teneo in late 2025 to test six competing technology narratives. Across the three societies, the Teneo study gathered 189,756 responses in less than three weeks. Public affairs research walks through the transport-policy design.
What are Westminster and Brussels personas built from?
Policy personas are built from the public record: what people have said, written and voted for, and their social activity. Artificial Societies’ Washington personas drew on public data and social activity, and each Brussels interviewee on public information about someone in that role. Hansard reports what members say in both Houses and transcribes select committee evidence sessions (UK Parliament, read 9 November 2026). The European Parliament publishes rapporteurs’ draft reports and the amendments tabled in committee and plenary through its Legislative Observatory (European Parliament, read 9 November 2026).
A persona built from a rapporteur’s public record answers as that record suggests. It cannot know what the rapporteur heard from a member state’s officials last week, or how the whips will handle a vote on the night, so the simulation prepares the meeting and the meeting decides the file. We would also expect a persona of a junior official with little public trace to have less to work from than one of an MP who has spoken in the chamber for years.
How do you start?
An engagement like Artificial Societies’ transport-policy work means one society built for the client, a three-phase test and, three weeks later, an advisory report plus full access to Radiant. Societies range from 12 to 3,500 personas. Bring the draft consultation response, written evidence or position paper, the alternatives you would accept, the committees or directorates-general whose reading matters, and the date it goes public. Three weeks fits inside a Commission public consultation’s 12 weeks but leaves little room in its four-week call for evidence (European Commission, read 9 November 2026). Book a call to scope it.
Frequently asked questions
Can a think tank test public reaction to a policy change without commissioning a poll?
Yes, as a simulation, which is not a poll. In Artificial Societies’ Budget-week simulation, run on 13 October 2026, 71.3% of 2,963 simulated UK adults supported a yearly tax on wealth over £10 million, yet even supporters questioned threshold cliff-edges, asset valuations and capital flight. A think tank can redesign the threshold before publishing. Field a real poll when a number will be reported as what the public thinks; our guide to public opinion simulation compares providers.
What results have trade associations seen from policy simulation?
A trade association sees how each institution reads its position before submitting it. In Artificial Societies’ Budget-week simulation, 58.2% of 1,336 simulated MEPs, Commission staff, think tanks and lobbyists said delaying the UK’s 3% defence target would most damage its standing with EU partners, and 10 simulated interviews, from MEPs to the unions, explain why. Both are published in full on the Brussels page.
Should we use a traditional polling firm or an AI message testing platform?
Use a polling firm when the number will be reported as what real people think now. Use simulation for drafts, alternatives and worst-case coverage you cannot show to the audience, with the reasons behind each answer. Artificial Societies tested damaging coverage on simulated Washington opinion leaders without a message reaching a live audience, and its Budget-week simulation labels every survey result as simulated responses, not a poll.
How do AI narrative testing vendors differ?
Ask each vendor who its personas are matched to, whether you can read individual reasoning, and what accuracy it publishes against what comparator. Artificial Societies reports 86% distribution accuracy against a 91% human self-replication ceiling across 1,000 surveys (Survey Evaluation Report, January 2026): the overlap of simulated and human answer distributions, measured against how often people repeat their own answers. The report gives no separate figure for policymaker audiences.
Can a simulated persona stand in for a named MP or MEP?
No. A persona can be matched to a real individual, as in Artificial Societies’ Washington transport-policy work, but its answers are simulated. The Brussels simulation says so on the page: each interviewee is built from public information about someone in that role, and what they say does not represent the words or views of any real person. Use a persona to rehearse a meeting, never as a quotation.
How much does policy message testing cost?
Artificial Societies does not publish pricing. Pricing is usage based and scoped with the team, so there is no rate card to quote. Book a call with the position, the audiences that matter and the date it goes public, and we will scope it from there.
Sources
- Artificial Societies, transport-policy positioning case study, engagement undated. Read 9 November 2026.
- Artificial Societies, Teneo case study, engagement in late 2025. Read 9 November 2026.
- Artificial Societies, Budget-week simulation: UK public (run 13 October 2026), Westminster and Brussels (both run 14 October 2026). Read 9 November 2026.
- Artificial Societies, Survey Evaluation Report, January 2026. Read 9 November 2026.
- UK Parliament, Select Committees, https://www.parliament.uk/about/how/committees/select/ (opens in a new tab). Read 9 November 2026.
- UK Parliament, About Hansard (the Official Report), https://hansard.parliament.uk/about (opens in a new tab). Read 9 November 2026.
- Cabinet Office, Consultation principles, updated 19 March 2018, https://www.gov.uk/government/publications/consultation-principles-guidance/consultation-principles-2018 (opens in a new tab). Read 9 November 2026.
- HM Treasury, Chancellor letter to the Treasury Select Committee: Budget 2026 date, 31 July 2026, https://www.gov.uk/government/publications/chancellor-letter-to-the-treasury-select-committee-tsc-budget-2026-date (opens in a new tab). Read 9 November 2026.
- European Commission, Better regulation, https://commission.europa.eu/law/law-making-process/better-regulation_en (opens in a new tab), and Better Regulation Toolbox 2023, chapter 7, stakeholder consultation, https://commission.europa.eu/system/files/2023-09/BRT-2023-Chapter%207-Stakeholder%20consultation_0.pdf (opens in a new tab). Read 9 November 2026.
- European Parliament, Ordinary legislative procedure: overview, https://www.europarl.europa.eu/olp/en/ordinary-legislative-procedure/overview (opens in a new tab), and ongoing legislative procedures, https://www.europarl.europa.eu/olp/en/ordinary-legislative-procedure/ongoing-legislative-procedures (opens in a new tab). Read 9 November 2026.
- Council of the EU, Council preparatory bodies, https://www.consilium.europa.eu/en/council-eu/preparatory-bodies/ (opens in a new tab). Read 9 November 2026.