In February 2023, a short promotional video for a new chatbot answered a question about the James Webb Space Telescope with complete confidence and one plain error that readers spotted within hours (BBC News, 2023). Your company sells intelligence, so a public mistake reads as a verdict on the product, not a slip in the copy. This guide tests agency choice against adoption, trust and incident research from 2022 to 2025. The Stanford AI Index, 2025, counted 233 reported AI incidents in 2024, so your choice is also a risk decision.
I Discrimen
Adoption is not trust, and your agency has to work on both at once
Buyers already use the tools every week, yet many still doubt the story being told about them.
The Stanford AI Index, 2025, reported that 78 percent of organisations used AI in at least one business function in 2024, up from 55 percent a year earlier. Pew Research Center, 2025, found 50 percent of US adults more concerned than excited about AI in daily life and only 10 percent more excited than concerned. You are selling into familiarity and suspicion at once, and each demands a different kind of proof.
An agency reading adoption as permission will pitch you as inevitable and stop listening. A stronger candidate treats concern as part of the brief, naming fears about jobs, accuracy or control before a journalist raises them. Adoption fills the room, but trust decides who gets heard once everyone is seated.
Ask each candidate how they would frame the same product for an enthusiastic daily user and for a sceptical operations chief. The answers reveal whether they segment by evidence or by enthusiasm. That distinction matters just as much when you weigh how to choose a PR agency for cybersecurity, because security buyers punish vague reassurance too.
II Machina
Coverage is built from evidence that a journalist can check without you in the room
Your pitch survives on the documents standing behind it, long after your call with the reporter ends.
A reporter checks your benchmark against the test conditions, asks who funded the study, and looks for a customer willing to speak on the record. Answer engines then lift claims stated cleanly and sourced visibly, which is why loose superlatives die quietly while precise figures travel.
The NIST AI Risk Management Framework, 2023, organises responsible practice around four functions: Govern, Map, Measure and Manage. Ask a candidate agency to show you their claim register: every public claim, the evidence under it, its owner and its last review date. A team that cannot produce that habit in miniature will not acquire it on launch day.
You can compare that working method against the full scope of public relations services to see which disciplines you genuinely need. A claim without a custodian becomes a correction waiting for a date to attach itself to. Hire the team that behaves as if every sentence will be reread by a hostile expert, because it will be.
III Exemplum
One wrong sentence in a demo can cost more than your launch budget
The telescope error was tiny, checkable within minutes and impossible to unpublish once it travelled.
The named example here is the February 2023 debut of Bard, the chatbot launched by Google. In the promotional video, Bard stated that the James Webb Space Telescope had taken the very first pictures of a planet outside our solar system, when the first such image was captured in 2004 by the European Southern Observatory Very Large Telescope (BBC News, 2023). Alphabet shares fell sharply, with roughly 100 billion dollars wiped from its market value (BBC News, 2023).
Notice what failed. The model produced a fluent answer, the marketing process approved it, and nobody with signing authority ran the one search that would have caught the mistake. Your agency test should therefore cover demo scripts, screenshots and benchmark charts, not just press releases.
Ask who performs the hostile read of your launch assets and whether that person can delay publication. Teams selling measurement face identical exposure, which is why how to choose a PR agency for data analytics stresses evidence handling. In AI, the demo is the product until a paying customer proves otherwise.
IV Damnum
The price of weak counsel arrives as incidents, corrections and slowly draining belief
Reputation damage compounds in this sector because each failure becomes fresh material for people already inclined to doubt you.
The Stanford AI Index, 2025, recorded 233 reported AI incidents in 2024, a rise of 56.4 percent on the previous year, and each incident gives journalists a ready precedent to attach to your story. Pew Research Center, 2025, found that 61 percent of US adults wanted more control over how AI is used in their lives, so audiences greet new claims with a standing request for limits.
The damage is internal too. Gallup, 2025, reported that 23 percent of employees did not know whether their own organisation had implemented AI, even while colleagues used the tools weekly. When staff learn about your product from headlines, they repeat the headline version to customers and partners.
A capable agency closes that gap by aligning the internal explanation with the external announcement before either ships. Every incident you refuse to discuss becomes somebody else's evidence in an argument against your category. Choose a partner who shows you the cost of a correction in plain language.
V Genus
Different kinds of AI company carry different claim risks, so one pitch test cannot fit you all
A model builder, an applied startup and an enterprise platform wear the same label while inviting different scrutiny.
Sort your own company honestly before you score anyone else. A foundation model builder faces questions about training data, evaluation honesty and downstream misuse. An applied AI product faces questions about accuracy in one workflow and about the workers who used to perform it. An infrastructure provider faces questions about cost and latency claims and dependence on a few chip and cloud suppliers.
Your agency should show fluency in the scrutiny attached to your category, not enthusiasm for the sector in general. The table below sets out the test for each case.
| Your situation | The claim risk you carry | What you ask a candidate agency to show |
|---|---|---|
| You build or fine tune models | Evaluation results quoted without conditions | A worked example of a benchmark claim rewritten with its limits stated |
| You sell an applied AI product | Accuracy promises in a single workflow | A customer proof file with named users and measured outcomes |
| You sell AI infrastructure | Cost and performance comparisons | A comparison audit trail showing dates, prices and test settings |
| You deploy AI inside large enterprises | Workforce and governance anxiety | An internal announcement plan that matches the external release |
fons: Table categories framed from NIST AI Risk Management Framework, 2023, and European Commission AI Act guidance, 2024.
Category is a promise about the scrutiny you can survive, so pick the partner who has rehearsed yours. Subscription founders face a neighbouring version of this problem, and how to choose a PR agency for SaaS companies works through its retention side. Generalist confidence is cheap in a pitch meeting and expensive afterwards.
VI Regio
Where your buyers sit changes which rules your public story has to respect
A sentence that reads as ordinary marketing in one market can become a compliance question in another.
Geography now shapes the message itself, not just the media list underneath it. The European Commission, 2024, confirmed that the EU AI Act entered into force on 1 August 2024 under a risk based approach, with transparency duties for chatbots and strict requirements for high risk systems such as recruitment software. If your product hires, lends, diagnoses or screens, your European copy carries obligations your domestic copy may not.
In the United States, the NIST AI Risk Management Framework, 2023, remains voluntary, while the Blueprint for an AI Bill of Rights, 2022, sets out expectations around notice, explanation and human alternatives to automated decisions. The OECD AI Principles, updated in 2024, and the UNESCO Recommendation on the Ethics of AI, 2021, supply a shared vocabulary on transparency, accountability and human oversight. A serious agency can map your launch claims against each regime you sell into and flag the phrases that travel badly.
Ask for that mapping in writing, with risky sentences quoted rather than paraphrased. Geography is not a distribution detail you settle after the story is written; it is part of the story. A team that understands this will also flag when a testimonial or a training data boast needs local review before release.
VII Occasio
Money and daily usage are outrunning public comfort, and that distance is your opening
Capital rewards speed and audiences reward candour, so you need a partner who can work at both tempos.
The opportunity is documented rather than imagined. Stanford AI Index, 2025, put US private AI investment at 109.1 billion dollars in 2024, with generative AI attracting 33.9 billion dollars worldwide. Gallup, 2025, found 45 percent of US employees used AI at work at least a few times a year, rising to 76 percent among technology staff.
That combination means buyers have hands on experience to test your claims against, which punishes exaggeration faster than any regulator. The opening belongs to the company that can prove, not to the company that can merely announce. A good agency builds your calendar around proof points you already own, such as evaluations, renewals and documented time savings, instead of manufacturing moments for quiet months.
Regulated buyers sharpen this further, as how to choose a PR agency for fintech shows when it separates novelty from permission to operate. Ask each candidate which of your existing facts they would lead with, and distrust any answer that begins with a stunt.
VIII Structura
A small team with a tight evidence system outpublishes a large team with loose habits
You can read an agency's structure in its corrections file long before you judge it by its coverage file.
Look at how the work is organised rather than how the pitch is decorated. The UK AI Security Institute, 2025, evaluates advanced systems and equips governments with a scientific understanding of their risks, and that evaluation culture now surrounds your product. Journalists covering you increasingly speak to independent evaluators and standards bodies before they speak to vendors.
Your agency should mirror that world with a named senior lead, direct access to your technical reviewers and an escalation path that reaches a decision maker within hours. Ask who can stop a release, who drafts the holding statement and who logs corrections. Ask how coverage is reported, because a report listing placements without the claims they carried tells you nothing about risk.
Platform vendors face the same structural test, which how to choose a PR agency for enterprise software examines from the buying committee's side. The person who can halt your launch is worth more to you than the person who can praise it loudest. Structure is what still works on the worst day of your year, so inspect it while days are calm.
IX Consilium
Choose the agency that makes your claims smaller, sharper and far easier to defend
The right partner edits your story toward proof first, then carries that proof into the rooms that matter.
Run a live exercise. Give each finalist the same draft announcement containing one overstated claim, one missing limitation and one figure without a source, then score what they send back. The strongest candidate will cut the overstatement, insert the limitation and ask you for the missing source before discussing outlets.
Set decision weights before you see results, so charm cannot rewrite your priorities afterwards. The table below gives a starting weighting to adapt.
| Your next milestone | Weight this criterion first | Walk away when |
|---|---|---|
| A flagship model or product launch | Hostile fact checking of demos and charts | The team asks for the asset only on launch morning |
| A funding announcement | Investor grade accuracy in every figure | Round numbers appear without a document behind them |
| Entry into a regulated market | Working knowledge of the applicable regime | Regulation is described as a messaging problem only |
| Recovery from a public error | Speed and candour of the correction process | The first instinct is to delete and say nothing |
fons: Decision criteria drawn from Pew Research Center, 2025, Gallup, 2025, and Stanford AI Index, 2025.
Hire for judgement under correction rather than confidence under applause, because correction is the day your agency earns its fee. Sign only when the contract names your senior lead, your review rights over technical claims and your reporting cadence in ordinary language. You then own a process that improves every announcement you make.
X Quaesita
Questions
What experience should a PR agency show before representing an AI company?
Look for work with products whose claims survived technical review, such as evaluations, accuracy figures or safety commitments. Ask for the review process they used, redacted if necessary, rather than a logo wall. Sector years alone prove little in a market that changed completely between 2022 and 2025.
How can you tell whether an agency understands AI regulation?
Ask them to map one of your real claims against the EU AI Act, the NIST framework and your home market rules in writing. A capable answer names which sentences need changing, evidence or legal review. An answer treating regulation as tone rather than substance should end the conversation.
What should you ask about crisis preparation for an AI product?
Ask who drafts the holding statement, who can approve it at short notice and how corrections are logged. Ask how they handled a factual error in a client announcement, and listen for a process rather than a denial that errors occur. With 233 reported incidents in 2024 (Stanford AI Index, 2025), preparation is routine discipline, not a remote contingency.
How should an agency report progress on an AI account?
Expect a report pairing each placement with the claims it carried, the audience it reached and the enquiries that followed. Placement counts alone hide accuracy and commercial effect, the two things you most need to know. Agree the format before signing, because retrofitting reporting rarely works.
Should you expect an agency to challenge your own product claims?
Yes, and treat the absence of challenge as a warning sign rather than a comfort. Your agency sees your wording as a journalist or regulator will, which makes their pushback the cheapest review you will ever buy. The Bard error in 2023 survived because no challenge landed in time (BBC News, 2023).
What separates a strong AI launch plan from a noisy one?
A strong plan sequences proof before attention, placing evaluations, customer evidence and limitations ahead of the announcement. A noisy plan starts with the announcement and hopes support can be assembled under deadline pressure. Ask to see the sequence on one page, with evidence named beside each stage.
How quickly should you replace an agency that keeps missing on accuracy?
Act on the second accuracy failure, not the fifth, because each published error teaches your market to discount the rest of your story. Review the pattern first: a single typo is a process slip, while repeated overstated figures reveal a culture. Document failures as they happen so the decision rests on a record, not a mood.
How this guide was built
This guide was assembled from the ten published sources below, covering adoption, attitudes, workplace usage, regulation and one documented launch failure. Every statistic is quoted as published, with publisher and year named beside the figure. Incident counts depend on reporting, surveys reflect the populations sampled, and several frameworks cited are voluntary. No study was commissioned for this guide, so the criteria rest on published evidence about your market rather than on claims about individual providers.
Sources
- Stanford Institute for Human Centered Artificial Intelligence, AI Index Report 2025, reporting organisational adoption, investment totals and 233 recorded AI incidents, 2025. https://hai.stanford.edu/ai-index/2025-ai-index-report
- Pew Research Center, what the data says about Americans and artificial intelligence, including the finding that half of US adults feel more concerned than excited, 2025. https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/
- BBC News, reporting on the Bard chatbot error in a promotional video and the fall in Alphabet shares that followed, 2023. https://www.bbc.com/news/business-64576225
- National Institute of Standards and Technology, AI Risk Management Framework, setting out the Govern, Map, Measure and Manage functions, 2023. https://www.nist.gov/itl/ai-risk-management-framework
- OECD, AI Principles, the values based principles for trustworthy artificial intelligence first adopted in 2019 and updated in 2024. https://oecd.ai/en/ai-principles
- UNESCO, Recommendation on the Ethics of Artificial Intelligence, adopted by 193 member states, 2021. https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
- Gallup, AI Use at Work Rises, reporting employee usage rates and the gap in awareness of employer AI strategy, 2025. https://www.gallup.com/workplace/699689/ai-use-at-work-rises.aspx
- European Commission, AI Act enters into force, describing the risk based framework that began applying in August 2024. https://commission.europa.eu/news/ai-act-enters-force-2024-08-01_en
- UK AI Security Institute, institutional pages describing its mission to evaluate advanced AI systems and advise government, 2025. https://www.aisi.gov.uk/
- Office of Science and Technology Policy, Blueprint for an AI Bill of Rights, setting out principles for automated systems used in the United States, 2022. https://bidenwhitehouse.archives.gov/ostp/ai-bill-of-rights/
XI Incipe
Aerovector begins with the claim you can defend and builds outward from there
Your strongest announcement is one a hostile expert cannot unpick, and that is where Aerovector starts work on an AI account. The practice helps clients rank for AI search results and guarantees media coverage, which in turn generates leads for the companies it represents. Ranking in answer engines rewards the discipline this guide argues for throughout: precise claims, visible evidence and limitations stated before a critic supplies them.
The method is concrete. A Media Map sets out which outlets, analysts and search questions matter for your category, a Message House locks each claim to its supporting document, and Coverage Reporting shows what was published and what each placement carried. When your next launch involves a benchmark, a demo or a safety commitment, send the details through the form on the contact page and have that evidence reviewed before the story reaches a journalist.
Aerovector turns defended AI claims into coverage that buyers can find and believe.
Send your AI launch details to Aerovector through the form on the contact page
Additional Details
Description: How to Choose a PR agency for Artificial intelligence (AI): the evidence to demand, the trade offs to weigh, and the questions that separate a sound hire.
Published: 2026-10-25