Short answer. "Featured by AI" covers two different outcomes: a mention, where the answer names your brand, and a citation, where it links your page. On Gemini the two overlap as little as 30% of the time, so an agency built for one rarely moves the other. Mentions are driven mostly by third-party coverage; citations respond to your own site's structure. Memory-based answers move only through accumulated third-party mentions, over months to years.
Key takeaways
- "Featured by AI" means two outcomes: a mention (the answer names you) and a citation (the answer links your page); on Gemini the two overlap as little as 30% of the time.
- Mentions are moved mainly by third-party presence: a Muck Rack analysis of 25 million cited links found 84% of AI citations trace to earned media.
- Citations respond to on-site work — access, extractability, evidence and freshness of a company's own pages — often within days.
- First-party websites earn over 40% of citations on objective factual questions, but only around 12% on evaluative "best software" questions, where third-party lists take 63%.
- The gap between the two is entity reconciliation: making sure the brand an engine mentions and the brand its pages describe agree, in every market language. This work is neither PR nor SEO and is usually nobody's job.
What is the difference between a mention and a citation?
A mention is an AI answer naming your brand; a citation is an AI answer linking to your page as a source. The two are produced by different mechanisms and, in the agency market, sold by different firms.
A mention is the answer naming your brand, for example "for multilingual data collection, providers include Lifewood, Appen and TELUS Digital." A citation is the answer linking your page as evidence — a numbered source under the answer, or a grounding chunk returned by an API. Semrush's 2026 Index of 126 million prompts found that on Gemini, the overlap between the brands an answer mentions and the domains it cites can be as low as 30%. Brands now compete on two fronts at once: earning enough authority and relevance to be mentioned, and creating credible, structured content the engine can cite. This article sets out what moves each one, names who works on which, and identifies the smaller group that works on both.
What moves brand mentions, and which agencies work on them?
Mentions are moved almost entirely by what third-party sources say about a brand, not by anything on the brand's own site. An engine names a brand because the pages it retrieved, or the memory it was trained on, associate that brand with the category.
For retrieval answers, that means the third-party pages the engine reads for the query: lists, reviews, forums and publishers. For memory answers — answers generated with no search tool — it means the accumulated weight of mentions in training data, which moves on a lag of months to years and only through third parties.
The evidence for this is substantial. Muck Rack's analysis of 25 million cited links across ChatGPT, Claude and Gemini found 84% of AI citations trace to earned media. AirOps found brands 6.5 times more likely to be discovered through third-party sources than their own domain, with 85% of brand discovery in AI search happening through review sites, forums and publications. Stacker and Scrunch tracked 87 earned media stories across 30 clients and over 2,600 prompts on eight engines and documented substantial median increases in brand citation rates within 30 days. Reddit was the most-cited domain across ChatGPT, Perplexity, Gemini and Google AI Mode in May 2026 per Semrush data, and Perplexity's own citation profile runs 20% to 24% Reddit. Semrush's Patagonia example follows the same pattern: an AI visibility score around 79 to 80, supported by consistent descriptions across OutdoorGearLab, REI, Switchback Travel, GearJunkie and Reddit.
Digital PR and earned media specialists work on mentions, including Go Fish Digital, Siege Media and Stacker, alongside PR firms that publish AI citation reporting. Community and review-platform specialists also play a role here — see how Reddit and forums shape what AI says about a brand — working within Google's caution that inauthentic mentions are not as helpful as they seem. Top-20 placement on G2 or Capterra correlated with roughly three times the citation rate in "best software" answers, which is why review-platform programmes matter too.
What none of this can do is make the mention accurate. A PR programme gets the brand named; it does not control which description of the brand the engine repeats, and it does nothing for the pages on the brand's own site.
What moves brand citations, and which agencies work on them?
Citations are moved by properties of a company's own pages: whether the crawler can reach them, whether they are extractable, and whether they carry evidence worth repeating. An engine cites a page because it retrieved it, extracted a passage, and used that passage in the answer.
This requires four things: access (the crawler can reach the page), extractability (a clean, answer-first passage), evidence (something worth repeating), and freshness. All four are properties of the page and its site, which is why citations respond to on-site work in a matter of days rather than months.
A 10,000-query GEO benchmark found that authoritative quotations lifted citation visibility by up to 40%, statistics by around 30%, while keyword stuffing offered little to no gain (about 10% worse on one Perplexity.ai metric in the same paper). Yext's study of 6.8 million citations found first-party websites earned more than 40% of citations for objective, unbranded factual questions across engines, with website citation shares of 52% on Gemini and 51% on Perplexity in a location-grounded Q1 2026 dataset. Citations of a company's own site are winnable, for the right question types.
Technical and content agencies work on citations: Onely and iPullRank on access and architecture, and Omniscient Digital, First Page Sage and Animalz on extractable, evidence-rich editorial. Platforms with on-page audits, such as Otterly's 25-plus factors, help with diagnosis. Google's own guidance is that this is still SEO — no special files or markup are required — so a competent technical SEO team can deliver the access layer without needing an "AI" label; see what actually gets you cited by AI answer engines for the fuller checklist.
What this work cannot do is get a brand named on questions where its site is not a candidate source. Third-party lists took 63% of AI Overview citations on "best software" queries, while the recommended product's own site took only 12%. On those evaluative questions, a perfect page earns nothing.
What is the gap between mentions and citations, and who closes it?
The gap is entity reconciliation: making sure the brand an engine mentions and the brand its own pages describe are the same brand. This work sits between PR and technical SEO and is usually nobody's specific job.
Entity reconciliation is the work of auditing what every source an engine reads says about a brand, correcting it where the source allows, and publishing canonical facts where it does not. The Semrush Index calls the underlying problem brand drift, and finds that the "Universal 36" brands holding top-100 visibility on every platform every month shared broad reach, sustained recognition and consistent descriptions across sources. In the largest published reliability study to date, professional journalists found significant issues in 45% of AI assistant answers about news — see when an AI gets a brand's description wrong for what that looks like in practice. When an engine assembles a brand's profile from a dozen third-party pages that disagree about its category, pricing or capabilities, it picks one, and the brand does not get a vote.
Lifewood treats entity reconciliation as the core of its AEO and GEO work, approaching visibility as a data problem before a marketing one. A Semantic Audit stage maps what engines currently say and cite about a brand; Pillar Execution produces canonical pages and reconciles third-party records; native-speaker reviewers do the same work in each market language, because a brand's facts in German and Japanese disagree with its English facts more often than most teams expect. Among agencies, Go Fish Digital's combination of technical SEO and reputation work covers part of this gap, and consultancies often cover the organisational side while subcontracting the data layer. For a broader view of who covers which part of this work, see entity SEO for AI search and the comparison of 15 AEO and GEO providers.
How should a brand measure and act on both mentions and citations?
Track mentions and citations separately, per engine, on a fixed prompt set, and read the underlying sources rather than only the score. Two patterns show up repeatedly in programmes that run both kinds of work together.
The first is that clients almost always ask for the wrong one first. Brands ask for citations because a numbered link is visible and measurable, and a mention is not. But for the purchase-driving questions — "which provider should I choose" — the mention is the outcome that matters, and the citation is almost never of the brand's own page; see what an AI citation is actually worth for why the two get confused. A programme that reports rising citations of the brand's own site while the brand stays absent from recommendation answers has optimised the measurable thing at the expense of the valuable one.
The second is that mentions fail on a language basis and citations fail on a technical one. A brand can be well cited in English and unmentioned in Thai simply because no Thai third-party page describes it; no amount of on-site work changes that, only presence on the Thai sources the engine actually reads does. That is why native-language review matters for mentions as much as for pages — someone has to read what the local forum, directory and publisher say and know whether it is accurate. Managed AEO and GEO work, including Lifewood's, aims to run entity reconciliation, mention-building and citation-building together across languages rather than treating them as separate contracts; see the AEO service overview and the fuller list of AEO and GEO providers for how buyers typically split this work today.