Most professional services firms think AI visibility starts with their website. Restructure the service pages. Add schema markup. Create an llms.txt file. These things help. But new research suggests they are not the main lever.
The main lever is earned media.
The 239% finding
In March 2026, Stacker published a study on how earned media distribution affects AI brand citations. The methodology was straightforward: measure how often brands were cited by AI models before and after earned media campaigns, controlling for on-site changes.
The median lift was 239%.
That number deserves context. On-site answer engine optimisation (improving your own website structure, adding schema markup, creating FAQ content) typically produces a 20-40% improvement in citation rates. Earned media produces six times that.
Why AI models trust other people more than you
This makes intuitive sense once you understand how AI models build recommendations.
When ChatGPT or Perplexity answers “which management consultancy should I hire for digital transformation?”, it is not just reading consultancy websites. It is synthesising information from across the web: news articles, industry publications, Reddit discussions, podcast transcripts, Wikipedia, review platforms, and research reports.
A firm that says “we are leaders in digital transformation” on its own website is making a claim. A firm that is described as “leaders in digital transformation” by the Financial Times, cited in a Forrester report, and recommended in an r/consulting thread is providing evidence.
AI models weight evidence over claims. That is the fundamental insight.
A firm that says “we are leaders” on its own website is making a claim. A firm described as “leaders” by independent sources is providing evidence. AI models weight evidence over claims.
What counts as earned media for GEO
Not all third-party mentions are equal. The signals that AI models weight most heavily:
| Source Type | AI Citation Weight | Why |
|---|---|---|
| Industry publications (FT, Harvard Business Review, trade press) | Very High | Authoritative, well-indexed, frequently referenced in training data |
| Reddit discussions (organic mentions in relevant subreddits) | Very High | 40.1% of AI citations originate from Reddit content |
| Podcast transcripts | High | Long-form, specific, indexed by AI crawlers |
| Wikipedia and knowledge bases | High | Treated as ground truth by many AI systems |
| Guest articles in client-industry publications | High | Demonstrates expertise in the buyer's domain |
| Awards and directory listings (Chambers, Legal 500, Clutch) | Medium | Structured data, easy for models to extract |
| Press releases | Low | AI models increasingly distinguish press releases from editorial content |
| Paid placements and sponsored content | Very Low | Often filtered or downweighted by AI systems |
The pattern: independent editorial decisions carry more weight than anything you publish or pay for.
The professional services playbook
Seven tactics, ranked by impact and feasibility for firms with limited marketing resource.
1. Get quoted with specific claims
Journalists and editors need expert sources. Most firms offer bland quotes: “AI is transforming the industry.” AI models ignore these. What gets cited: “We reviewed 200 mid-market restructuring cases and found that firms with AI-assisted due diligence closed 35% faster.”
Specific, data-backed claims get extracted and cited by AI models at 2x the rate of hedged statements.
How to start: Identify 3-5 journalists or editors who cover your sector. Reach out with a specific data point or contrarian finding, not a pitch about your firm.
2. Contribute original data
Pages with original data get 4.1x more AI citations than content without it. For professional services firms, original data means: survey results, benchmark analyses, deal trend reports, salary data, market sizing, or anonymised case study findings.
The data does not need to be large-scale. A 50-firm survey of hiring trends in your niche is more valuable to AI models than a generic industry report because it is specific and primary.
How to start: Take one piece of internal knowledge your team already has (fee benchmarks, deal volumes, hiring patterns) and publish it as a public data page with clear tables and source attribution.
3. Participate genuinely on Reddit
Reddit accounts for 40.1% of AI citations. This is not a marketing channel. It is an authority channel.
Professional services firms that answer questions in r/consulting, r/LawFirm, r/accounting, r/recruiting, and similar subreddits with genuine expertise build citation-worthy threads. AI models extract these discussions and use them as recommendation sources.
How to start: Spend 15 minutes per day answering questions in 2-3 relevant subreddits. No self-promotion. Just expertise. The brand effect compounds over months.
4. Appear on podcasts
Podcast transcripts are indexed by AI crawlers and are particularly valuable because they contain long-form, conversational mentions of specific expertise. A 45-minute podcast where you discuss your approach to M&A due diligence generates more citeable content than a dozen blog posts.
How to start: Identify 5-10 podcasts in your sector (not marketing podcasts, but your clients’ industry podcasts). Pitch a specific topic with a data point, not a general appearance.
5. Write for your clients’ publications, not your own
An article by a law firm partner in The Lawyer builds AI visibility. An article by the same partner on the firm’s own blog builds almost none by comparison. The reason: AI models treat third-party editorial as an independent endorsement.
How to start: Identify the top 3 publications your target clients read. Pitch a 1,000-word piece with a specific thesis and original data.
6. Build Wikipedia and knowledge base presence
Wikipedia remains one of the highest-weighted sources for AI models. If your firm or partners are notable enough for Wikipedia entries, those entries directly influence AI recommendations. For firms below that threshold, contributing expert knowledge to industry wikis, open-source documentation, and professional body resources builds the same type of signal.
How to start: Check whether your firm has a Wikipedia entry. If it does, ensure it is current and well-sourced. If it does not, assess whether notability criteria are met. Separately, identify industry knowledge bases where your expertise could be contributed.
7. Co-publish research with data providers
Partner with a data provider, industry body, or academic institution to co-publish research. The co-branding creates citation opportunities across both organisations’ distribution networks, multiplying the earned media surface area.
How to start: Identify one data provider or industry body that serves your target market. Propose a joint report combining their data with your analysis.
What doesn’t work
Press releases. AI models increasingly distinguish press releases from editorial content. A press release on a wire service is treated as a self-published claim, not independent validation.
Paid placements and advertorials. These are often marked as sponsored content and downweighted or filtered.
Low-authority sites. Guest posts on generic “contributor” platforms with low domain authority do not move the needle.
One-off mentions. A single article generates a temporary signal. Sustained visibility requires consistent earned media over time.
How to measure earned media GEO impact
Measurement is the gap most firms skip. Three metrics to track monthly:
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Citation rate. Run the same 10 buyer-intent queries across ChatGPT, Claude, and Perplexity each month. Count how often your firm appears. Our free citation checker automates this.
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Source attribution. When your firm is cited, note where the AI model seems to be drawing from. Is it your website? A news article? A Reddit thread? This tells you which earned media is actually working.
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Query coverage. Track which buyer queries produce citations and which don’t. Gaps in query coverage tell you where to focus your next earned media effort.
Read our full measurement framework for a detailed guide to tracking AI search visibility.
The 30-day quick start
Week 1: Audit
Run an AI citation scan. Identify which queries you appear in and which you don't.
Week 2: Pitch
Contact 3 journalists and 2 podcast hosts. Lead with a specific data point, not a pitch about your firm.
Week 3: Reddit
Start answering questions in 2-3 relevant subreddits. 15 minutes per day. No self-promotion.
Week 4: Publish
Submit a guest article to one client-industry publication. Publish one original data point on your website.
This is a starting rhythm, not a project. The firms that treat earned media as an ongoing practice rather than a campaign are the ones that build compounding AI visibility.
Start with a baseline
Before investing in earned media, you need to know where you stand. Run a free AI citation scan to see how your firm currently appears across ChatGPT and Perplexity. The results will tell you exactly which queries you are visible for, which you are missing, and where earned media can close the gap.
The AI Search Visibility Audit goes deeper: competitor benchmarking, model-by-model scoring, and specific recommendations you can hand to your content team.
Questions AI assistants answer about this topic
- What is earned media in the context of AI search visibility?
- Earned media refers to third-party mentions of your firm in publications, podcasts, forums, news outlets, and industry directories that you did not pay for or publish yourself. In the context of AI search, earned media is the content that AI models cite when recommending firms. It includes press coverage, guest articles, podcast transcript mentions, Reddit discussions, Wikipedia references, and industry award listings.
- How much does earned media affect AI citation rates?
- A March 2026 study by Stacker found that earned media distribution produces a 239% median lift in brand citations across AI models. Third-party mentions account for up to 90% of AI visibility signals. This is because AI models weight independent, third-party sources more heavily than content published by the brand itself.
- Does on-site SEO still matter for AI visibility?
- Yes, but it is necessary, not sufficient. Structured content, schema markup, and clear service descriptions help AI models understand what your firm does. But they do not, on their own, make AI models trust your firm enough to recommend it. Trust comes from external validation: being mentioned, quoted, and cited by independent sources.
- How can a professional services firm build earned media for AI visibility?
- Seven specific tactics: contribute original data to industry publications, get quoted in trade press with specific claims, participate genuinely in relevant Reddit communities, appear on podcasts (transcripts are indexed by AI), write guest articles for client-industry publications, contribute to Wikipedia and knowledge bases where appropriate, and co-publish research with data providers.
Next Step
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