Who Gets Mentioned When the Machines Answer
Eleven weeks inside a research panel of AI engines: which ones talk about brands, which sources they trust, and where the open ground still lies.
ChatGPT and Claude Lead in Brand Mentions
Two engines produce nine of every ten brand mentions in the panel — though from week to week, neither holds still.
Across the engines tracked by the panel, ChatGPT and Claude account for the largest share of brand mentions and show the highest thirty-day Mention Rates. The latest weekly readings put ChatGPT at 22.8% and Claude at 15.0%, after an eleven-week stretch in which Claude peaked at 32.9% and ChatGPT bottomed out at 6.5%.
of recorded brand mentions over the past thirty days came from just two engines: ChatGPT and Claude.
- ChatGPT48.5%
- Claude41.5%
- Gemini3.7%
- DeepSeek3.2%
- Perplexity3.1%
- Claude18.9%
- ChatGPT17.0%
- Perplexity4.0%
- Gemini2.8%
- DeepSeek2.3%
Share reflects the distribution of mentions across engines, Mention Rate measures how frequently an engine mentions a tracked brand in its answers. ChatGPT holds the larger share of all mentions recorded; Claude is more likely to name a brand in any given answer. Gemini, DeepSeek, and Perplexity trail well behind on both counts.
Social Sources Gain Ground as Blogs Remain Dominant
Blogs still supply most of what the engines cite. But the conversation on LinkedIn, Reddit, and YouTube is being read more closely every week.
Blogs continue to account for the largest share of citations in the panel. Social sources, however, have expanded considerably during the reporting period: Social's share rose from 2.7% to 14.9% — a five-and-a-half-fold increase. Over the same span, blogs slipped from 89.3% to 76.4%.
growth in Social’s share of citations, Aug 9 → Oct 18
percentage points lost by Blog over the same period
Forum share, from 0.8% to 2.4%
Blogs remain the dominant citation source, but their share has declined over the reporting period. Social sources and forums now account for a larger proportion of observed citations. For GEO teams, the findings support a broader approach to source development: maintain strong owned content while investigating relevant social platforms, forums, and publishing platforms.
Free Sources Dominate Recorded Citations
Of a quarter of a million citations, almost none came from pages someone paid to appear on.
citations recorded by the research panel over the past ninety days.
The overwhelming majority of recorded citations came from sources classified as free to publish on. This is a description of the observed citation landscape, not a comparison of the success rates of free and paid placements. The size of the free web means that its share of citations cannot, by itself, establish which channel delivers the best results per outreach attempt.
RankCaster classifies citation opportunities by the potential action required to secure a brand's presence in a source. Editorial outreach is the largest category, accounting for 83.6% of classified action paths. Other categories include optimizing owned documents, self-publishing, editing wiki pages, submitting directory listings, academic submissions, review solicitation, and paid placement.
A Crowded Answer Is Not a Loud One
Some engines name nearly ten brands in a single reply. That does not mean any one of them is heard.
- Perplexity9.86
- ChatGPT8.71
- DeepSeek7.45
- Claude6.46
- Gemini5.34
- Claude2.84%
- ChatGPT1.91%
- Gemini0.53%
- Perplexity0.40%
- DeepSeek0.30%
Perplexity has the highest Competitive Density in the panel, averaging nearly ten distinct tracked brands per answer. Gemini averages about five. Density describes how many brands appear in an answer; it does not indicate how prominently any individual brand is presented. Claude records the highest Share of Voice, followed by ChatGPT. Comparing the two metrics gives a more complete picture of brand presence: an engine may include many brands in its answers without giving the tracked brand a large share of total mentions.
Where the Opportunities Lie
Citation make-up · last 30 days · ≈138,000 citations classified by their relationship to the tracked brand.
Opportunity sources — pages where neither the tracked brand nor its competitors were detected — account for approximately half of classified citations. Competitor-associated pages make up another 38.9%, a second major area for source analysis. Own-domain citations represent 1.5% of the classified total; the figure describes the observed citation mix, not a ceiling on what an owned-content strategy can achieve.
Develop owned content
Identify relevant topics and improve pages that can substantiate answers to target prompts.
Study external sources
Investigate third-party pages that AI engines already cite and evaluate legitimate opportunities for brand inclusion.
Analyze competitor presence
Identify sources associated with competitors and determine where stronger or more relevant brand representation may be possible.
How We Counted
The panel consists of active RankCaster brand research projects across different industries and markets. Composition changes as projects finish and new projects begin. Results describe observations within this research panel and should not automatically be treated as representative of the entire AI search market.
One response from one AI engine to one tested prompt. The primary unit used to measure brand mentions.
A direct reference to a tracked brand in an AI-generated answer. A brand is counted no more than once per answer. Mention Rate = answers containing a brand mention ÷ total answers tested.
A URL used as a source for an AI-generated answer. A single answer can contain multiple citations.
The average number of distinct tracked brand entities — the target brand and its competitors — appearing in an answer.
The tracked brand's mentions divided by the combined mentions of the tracked brand and its competitors over the selected period. A panel-based measure of relative brand presence in AI answers, not the traditional advertising metric based on impressions.
URLs are classified by their relationship to the tracked brand. Competitor: the page is associated with a tracked competitor. Neutral: the page serves a reference or background-information role. Own: the page belongs to the tracked brand's own domain. Opportunity: neither the tracked brand nor its competitors were detected on the page.
RankCaster classifies citations by source type, cost tier, and potential action path. These classifications describe observed citations and potential opportunities rather than verified marketing actions or their conversion rates.
RankCaster Research — AI Visibility Intelligence
Issue 01 · October 18, 2026 · rankcaster.ai