22% of Semrush Partner Content Cited in AI Answers, Study Finds

Roughly one in five articles published by Semrush's affiliate partners — 22% of 2,850 tracked pieces — was cited in an AI answer between September 14 and October 7, 2026, according to data from the company's own affiliate program and its AI visibility monitoring tool. The finding grounds a growing suspicion in the search industry: affiliate marketing now does two jobs, driving sales and shaping what ChatGPT, Google AI Mode and AI Overviews say about a brand.

The platform-level breakdown shows where those citations happen. About 8% of partner pieces appeared in Google AI Overviews, 7% in Google AI Mode, 2% in Gemini and 1% in ChatGPT. Semrush's analysts then read 302 cited web pages and 283 cited videos to identify what cited content has in common.

Why third-party content dominates AI answers

Independent analysis points the same direction. When AirOps analyzed 21,311 brand mentions across ChatGPT, Claude and Perplexity, 85% came from external domains rather than the brand's own site. Nearly 90% of those third-party mentions came from listicles, comparisons or reviews.

A large share of that content is affiliate content. More than 40% of the 10,000 sources AI systems cite most contain affiliate links or are sponsored, according to Evertune CEO Brian Stempeck. The overlap is structural: affiliates specialize in exactly the formats buyers consult when evaluating products — "best [category]" roundups, versus comparisons, reviews, alternatives pages and tutorials. Buyers now ask AI tools those same questions conversationally, and the systems retrieve the pages that already compare the options.

The content, not the link, does the work. A detailed comparison explaining when to choose a product gives AI systems useful context; a coupon code with a link does not.

What does the citation data show about format?

Format strongly predicts citation. Among Semrush partner pieces cited in AI answers:

• Listicles and top lists: about 54%
• Comparisons: about 39%
• Tutorials: about 21%
• Reviews: about 18%
• Coupon and free-trial pages: about 10%

"How-to and tutorial content also helps increase visibility in LLMs," the Semrush team noted. "In our case, four of our 25 top-performing pieces are tutorials." Brands recruiting only roundup publishers leave that format unused.

Cited pages also tend to be comparative. About three in four AI-cited pages mentioning Semrush also name at least one competitor, and 60% name two or more. Among uncited pages, only 42% mention a competitor — matching how commercial prompts ask AI systems to weigh options.

Do affiliate links and disclosures hurt citations?

No. This is one of the study's clearest findings: 74% of cited web pages contain affiliate links, and about 40% tag those links sponsored or nofollow. Among cited videos, 89% include an affiliate link and 88% include a disclosure. Pages with disclosures or affiliate links were not cited less often than pages without them. Semrush's guidance is explicit: have partners follow FTC disclosure rules and Google's outbound-link guidance, and invest the effort in the content itself.

Affiliates differ in value, though. Coupon and cashback sites drive transactions but tell AI systems little beyond price and availability — the least-cited format at about 10%. Editorial publishers, niche experts, reviewers and video creators supply the positioning context AI answers rely on. Since commissions are tied to actions like sales or trials, not content quality, Semrush recommends a mixed partner roster and excluding coupon partners from AI visibility accounting.

The flywheel and the five-step workflow

Semrush frames the result as a compounding cycle: partner content earns AI mentions, visibility attracts new partners, and partners keep content current because they earn from it — making affiliate content a durable complement to campaign-by-campaign digital PR.

The workflow runs in five steps, illustrated with a CRM brand targeting small sales teams:

1. Choose buyer-matching prompts ("Best CRM for small sales teams," "[competitor] alternatives") and track them daily with Prompt Tracking in Semrush's AI Visibility Toolkit.
2. Log every domain AI answers cite for those prompts, tagging format, brand mentions and program membership; Competitor Research surfaces prompts where rivals get cited and you don't.
3. Recruit cited publishers first — especially those naming competitors but not you — then cited publishers who already mention you, then uncited listicle and tutorial publishers. Lead outreach with the citation evidence.
4. Equip partners with pricing details, demo accounts, original data, expert access and honest positioning — but skip scripted copy. Identical messaging across sites adds little for AI systems to retrieve.
5. Measure visibility alongside revenue: track partner citations, brand mention rate and brand associations, and flag partners whose commission reports undersell their strategic value.

Link attributes don't interrupt the cycle, and the broader off-page world is adjusting too. Alexandra Tachalova, founder of Digital Olympus and former marketing director at Semrush, said: "I now focus on unlinked brand mentions… Whenever you ask for a brand mention, everyone is very chill. AI tools don't really differentiate whether it's a link or just a brand mention."

The practical takeaway for brands running affiliate programs: audit which partner pages AI answers already cite for your priority prompts, then manage the program for visibility as deliberately as for revenue. Watch whether citation rates hold as AI platforms refine their sourcing — and whether Google's guidance on affiliate content evolves alongside them.