What to Ask an AI PR Agency Before You Sign
Most CMOs hire PR agencies based on media list size and press release volume. Here are the questions that actually reveal whether an agency can earn AI citations — not just traditional impressions.
Most PR agency evaluations still revolve around media list size, press release frequency, and impressions. Those metrics tell you nothing about whether an agency can get your brand cited by ChatGPT, Perplexity, or Google AI Overviews. I have seen CMOs sign six-figure retainers only to discover that placements in trade blogs with a DA under 40 never surface in a single AI answer. The vetting questions below separate agencies that understand AI-era earned media from those still running the 2019 playbook.
Why Traditional PR Vetting Questions Fall Short
The standard agency evaluation asks about team size, client references, and monthly deliverables. Carve Communications recommends nine questions for growth-stage companies, covering sector experience, staffing, and crisis readiness. Those are table stakes.
What they miss is the entire AI visibility layer. In 2026, a PR placement only compounds if it appears on a domain that AI answer engines already trust and retrieve. A hit in a niche trade publication with thin domain authority might generate a LinkedIn share, but it will not show up when a buyer asks ChatGPT for a vendor shortlist. The vetting process needs new questions that address where placements land, how they are structured for machine readability, and whether the agency can prove AI citation outcomes.
The AI Visibility Questions Every CMO Should Ask
These are the questions I would ask before signing with any agency that claims AI PR capabilities.
1. Show me the last 10 placements you earned for a comparable client — and the domain authority of each outlet.
You need to see actual links, not a capabilities deck. Fractl's digital PR vetting guide recommends asking for live placement URLs and checking the domain rating of each outlet. For AI citation impact, look for placements on domains with a DR/DA of 80 or higher. AI answer engines disproportionately cite sources from high-authority, editorially independent publications.
2. Which editors at Tier 1 publications have you placed stories with in the last 90 days?
Name the editors, not just the publications. Any agency can claim a relationship with Forbes or TechCrunch. What matters is whether they have a working relationship with a specific editor who covers your category. Shadow's 2026 agency evaluation guide notes that editorial relationships are the most reliable predictor of placement quality — more than team size, process decks, or technology stack. If they cannot name individuals, they are pitching cold, and cold pitches at scale produce low-DA placements that do not move the AI visibility needle.
3. How do you structure placements so AI engines can cite them?
This question exposes whether the agency understands citation architecture or just traditional media relations. A competent AI PR agency should explain how they work with publishers to ensure placements include clear entity references, answer-ready paragraphs, and structured data where the publisher allows it. If the answer is "we write press releases and distribute them," that is your signal to walk away. Press releases account for roughly 0.04% of AI citations — original editorial coverage drives the other 81% of news-category citations.
4. What AI visibility metrics do you report, and how do you measure them?
Axia PR's CMO scorecard recommends evaluating agencies on data access, governance, and revenue attribution within the first 30 days. For AI PR specifically, push harder. Ask whether they track citation share across ChatGPT, Perplexity, Claude, and Google AI Overviews. Ask how often they run measurement. Ask whether they can show you a before-and-after comparison of AI citation rates for a previous client. An agency that reports only impressions and media mentions is not measuring what matters in 2026.
5. Can you show me a case where your work led to a measurable increase in AI citations for a client?
This is the question most agencies cannot answer. Attribution from earned media placement to AI engine citation is still hard, and many agencies have not built the instrumentation. But the ones who are serious about AI PR should be able to show at least directional evidence — a client who was not cited before a campaign and was cited after, with the placement as the most plausible cause.
6. What is your entity resolution strategy for my brand?
AI engines do not just index web pages. They resolve entities — brands, people, products — across sources to build a knowledge representation. An agency that understands this will talk about consistent NAP data, Wikipedia and Wikidata presence, schema markup, and how they ensure your brand name resolves to the right entity across AI training data. If the agency has never heard of entity resolution, they are doing traditional PR with an AI label.
Red Flags vs. Green Flags in Agency Proposals
| Signal | Red Flag | Green Flag |
|---|---|---|
| Placement targets | "We target 200+ outlets" | "We target 8-12 high-DA outlets editorially relevant to your category" |
| Measurement | Impressions, media mentions, AVE | Citation share, AI answer presence, branded query lift |
| Content approach | Press releases and byline articles | Earned editorial with structured, answer-ready content |
| AI understanding | "We optimize content for AI" | "We earn placements on domains AI engines already trust" |
| Proof | Case studies with impressions | Before/after AI citation data for a comparable client |
| Timeline | "Results in 30 days" | "Entity authority builds over 90-180 days" |
How to Run a 30-Day AI PR Stress Test
Everything-PR's 2026 review playbook recommends treating your first month as a structured evaluation, not a trial-and-error phase. Cision's Inside PR 2026 report reinforces this, finding that companies who run structured evaluations in the first 30 days are far more likely to retain agencies that deliver measurable results. I agree with the approach, but the evaluation criteria need updating for AI visibility.
In the first 30 days, look for these behaviors:
- Discovery depth. The agency should ask about your brand's current AI visibility baseline — not just your media coverage history. Where does your brand currently appear in AI answers? Where does it not?
- Strategic targeting. They should propose a placement target list with specific publications, specific sections, and a rationale for why those outlets matter for AI citation.
- Measurement setup. By day 14, they should have baseline AI citation data and a plan for tracking changes.
- Content quality. Early pitches and drafts should demonstrate answer-ready structure — clear claims, named sources, data points — not generic corporate messaging.
If by day 30 the agency has not mentioned AI citation measurement, entity clarity, or placement domain authority, they are running a traditional PR engagement under a new name.
The Earned Media Standard That Separates AI PR from Traditional PR
The line between traditional PR and effective AI PR comes down to one question: does the placement create a citable source that AI engines will retrieve and reference when a buyer asks a relevant question?
Every placement should pass this test. An article in a DA-85 publication that names your brand, includes specific data, and answers a question your buyer would ask — that is an AI-era earned media asset. A press release that sits on a wire service and gets syndicated to 200 low-authority sites is noise.
The best agencies I have worked with build earned media strategies around this standard. They pitch fewer outlets, earn stronger placements, and can show you where those placements appear in AI answers within 60-90 days.
FAQ
What is the most important question to ask an AI PR agency?
Ask them to show you the last 10 placements they earned for a comparable client and the domain authority of each outlet. This single question reveals whether they earn high-authority editorial coverage or churn low-value placements. AI answer engines cite sources from trusted, high-DA publications — if the agency's placement portfolio is thin, their work will not move your AI visibility.
How long does it take to see AI citation results from PR?
Expect 90-180 days from the start of a focused earned media campaign to measurable AI citation changes. AI answer engines need time to crawl, index, and integrate new high-authority sources into their knowledge. Agencies promising AI visibility results in 30 days are likely describing traditional media metrics, not actual AI citation impact.
How much should an AI PR agency retainer cost in 2026?
Retainers for agencies with genuine AI PR capabilities typically range from $8,000 to $25,000 per month, depending on scope and target publication tier. Agencies at the lower end of this range may not include dedicated AI citation measurement. At the higher end, expect custom measurement dashboards, entity resolution work, and direct editorial relationships at Tier 1 outlets. I wrote about pricing benchmarks in detail previously.
What is the difference between AI PR and traditional digital PR?
Traditional digital PR focuses on earning backlinks and media mentions that improve search rankings and brand awareness. AI PR adds a layer: earning placements on specific high-authority domains that AI answer engines already trust and cite, structuring those placements for machine readability, and measuring whether the work changes how AI assistants reference your brand. The agencies, outlets, and metrics overlap, but AI PR demands more precision in where placements land and how they are structured.
About Christian Lehman
Christian Lehman is Chief Growth Officer of AuthorityTech — the world's first AI-native Machine Relations agency. He writes AI shortlist intelligence from live B2B buying queries: which brands surface, which sources get cited, and where visibility breaks.
Christian Lehman