Empire325 Research · June 2026
The 2026 AI Recommendation Report
We asked the AI search engine behind modern AI answers to name the best marketing agency in 13 industries — then recorded every source it cited. 190 citations. 138 domains. Here is who the machine actually trusts. Free, citable, CC BY 4.0.
TL;DR: When AI recommends a marketing agency, it does not rely on brand authority — it relies on whoever shows up in third-party listicles and community threads. Across 13 verticals, Reddit was the single most-cited source (8 of 13 verticals), listicles and roundups out-cited agency websites (47.9% vs 42.1% of all citations), and 82% of the 138 cited domains appeared in only one vertical — there is no incumbent that AI consistently names. The recommendation layer is wide open, and it is won with off-site presence, not a polished homepage.
Key findings
What AI actually cites when a buyer asks it for an agency
Finding 01
Reddit is the most-cited source in AI agency recommendations
Across the 13 verticals, reddit.com was cited in 8 of them (62%) — more than any individual agency, directory, or publication. When a buyer asks AI “who's the best agency for X,” the engine is reading community threads to form its answer. It appeared in recommendations for SaaS, ecommerce, healthcare, legal, biotech, real estate, education, and private equity. The takeaway is uncomfortable but actionable: a single well-upvoted Reddit thread can influence what AI tells thousands of buyers.
Method: cited-source capture across 13 “best [vertical] marketing agency” queries to Perplexity Sonar, June 2026.
Finding 02
Listicles out-cite agency websites — the page that wins is about agencies, not by one
Of all 190 citations, 47.9% were third-party listicles and roundups (“best X agency” articles by the likes of Digital Agency Network, Semrush, and niche publications), versus 42.1% to agency-owned websites. AI overwhelmingly trusts the independent-looking ranking article over the agency's own marketing. The strategic implication: getting listed in the roundups your buyers' AI reads is worth more than another homepage redesign.
Finding 03
The recommendation layer is fragmented — 82% of cited domains appear in only one vertical
We recorded 138 unique domains across just 13 queries, and 113 of them (82%) were cited in only a single vertical. The ten most-cited domains together account for only 20% of all citations. There is no dominant agency that AI reliably names across industries — the most-cited agency (Thrive) appeared in just 4 of 13 verticals. For a challenger brand, fragmentation is opportunity: no incumbent owns the AI answer, so the citation slots are winnable vertical by vertical.
Finding 04
Source type, not domain authority, predicts citation
Ranked by how many verticals cite them, the top sources are a mix of one community hub, two roundup publishers, a few specialist agencies, a directory, and YouTube — not a clean leaderboard of household-name agencies. The pattern: the format of the page (community thread, ranked listicle, directory listing) matters more than the prestige of the brand behind it.
| Source | Verticals cited | Type |
|---|---|---|
| reddit.com | 8 of 13 | Community / forum |
| thriveagency.com | 4 of 13 | Agency-owned |
| digitalagencynetwork.com | 4 of 13 | Listicle / roundup |
| dariengroup.com | 3 of 13 | Agency-owned |
| selectadvisorsinstitute.com | 3 of 13 | Listicle / roundup |
| youtube.com | 3 of 13 | Video |
| agencies.semrush.com | 3 of 13 | Directory |
| g-co.agency | 3 of 13 | Agency-owned |
Finding 05
Citation source mix: where AI's agency picks actually come from
Every one of the 190 citations classified by source type. Two formats — independent listicles and agency-owned sites — account for 90% of everything AI cites. Community, directory, and video make up the rest, but punch above their volume: Reddit's few citations spread across the most verticals of any source.
Third-party articles ranking agencies
An agency's own domain
Clutch, Semrush directory, etc.
r/marketing, r/PPC, niche subs
Explainer & ranking videos
What to do about it
How to get into the answer
Get into the roundups
Identify the “best [your vertical] agency” listicles AI cites and earn a placement — pitch, partner, or publish your own definitive comparison. This is the single highest-leverage move the data points to.
Seed credible community presence
Reddit is the most-cited source. Authentic, value-first participation in the subreddits your buyers read directly feeds the AI answer. Astroturfing backfires; genuine expertise compounds.
Structure your own site to be quotable
Among agency-owned sites that do get cited, the pattern is clear, structured, schema-rich pages with specific claims. Make every service and case-study page extractable.
Win vertical by vertical
Fragmentation means no one owns the category. Pick your highest-value verticals and dominate their citation sources one at a time, instead of competing for a generic “best agency” slot.
This is the discipline we call Generative Engine Optimization — engineering your presence in the exact sources AI cites. See how it maps to a vertical in our industry agency guides and competitive comparisons.
Methodology & honest limitations
In June 2026 we issued one buying-intent query per vertical (“best [vertical] marketing agency”) to Perplexity Sonar via OpenRouter, across 13 high-value B2B verticals: hedge fund, private equity, asset management, financial services, real estate, healthcare, biotech, legal, insurance, SaaS, ecommerce, education, and manufacturing. For each answer we captured the full list of cited source URLs, normalized to root domains, and classified each by source type. We measured citations — the sources the engine surfaced — not answer quality or ranking position.
Limitations, stated plainly: this is a focused snapshot — one engine (Perplexity Sonar, the retrieval layer many AI answers draw on), one query per vertical, a single point in time. AI answers vary by phrasing, personalization, and date. We are not claiming these are the “best” agencies; we are documenting what AI cites. Quarterly updates will widen coverage to more queries, verticals, and engines (ChatGPT, Claude, and Gemini citation layers). The full aggregated dataset is published below so anyone can verify or extend the analysis.
Dataset: 2026-ai-recommendation-report.json — aggregated citation counts, per-vertical domains, and source-type mix.
License: Creative Commons Attribution 4.0 (CC BY 4.0). Free to cite, quote, and republish with attribution to Empire325 Marketing and a link to this page.
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