Manufacturing SEO now has two separate scoreboards: one for AI mentions and one for AI citations. A Semrush study published in 2026, tracking 458 industrial keywords from January through July, found AI Overviews now appear on 57% of related search volume (up from 38% in January). Yet AI tools account for just 0.48% of all sessions to manufacturing sites. More importantly, the brands dominating AI mentions and the sites earning AI citations are almost entirely different groups.
How fast are AI Overviews growing across manufacturing search?
Nineteen percentage points in six months. Semrush tracked 458 manufacturing and industrial keywords from January to July 2026 and found AI Overviews grew from covering 38% to 57% of total search volume. The feature now appears not just on broad informational queries like “what is a transformer,” but on specific product searches such as “pneumatic cylinder” and branded queries like “National Instruments.”
Does AI search actually send traffic to manufacturing sites yet?
Not in meaningful volume. Semrush clickstream data shows direct visits and organic search still account for nearly 80% of all sessions to manufacturing domains. AI tools (AI Mode and AI assistants combined) deliver just 0.48% of total sessions. But that small figure hides a more complicated dynamic worth understanding before drawing conclusions about AI’s real influence.
A Semrush survey of 600+ B2B professionals found that buyers already use AI to shortlist vendors for purchases over $1,000. After an AI conversation, many follow up by searching Google or visiting a brand’s site directly. That delayed visit will not show as AI-referred traffic in standard analytics. Marketing strategist Gaetano DiNardi describes this as the “dark SEO funnel”: AI shapes the buyer’s shortlist before a single trackable click happens.
Semrush notes that growing direct traffic or branded search could signal improving AI visibility, even when AI referral numbers stay flat.
Who gets mentioned in AI answers versus who gets cited as a source?
These are two separate rankings, and they barely overlap. Of the top 15 domains ranked by AI mentions and the top 15 ranked by AI citations, only two domains (Vevor and Grainger) appear on both lists, according to Semrush’s AI Visibility database (2026).
- Top-mentioned brands: 3M, John Deere, Boeing. Legacy names with broad product lines and deep brand authority. Most existed more than a century before ChatGPT or Gemini.
- Top-cited domains: A mixed list that includes industry directories, distributors, a professional chemistry journal, and marketplaces. Very different content types, very different authority levels.
- Overlap: Just 2 of 15 domains appear on both lists.
Semrush checked Authority Score (a proprietary metric combining organic traffic, backlinks, and spam signals) for each group. Top-mentioned brands showed consistently high and uniform scores. Top-cited sources varied widely. The leading cited domain, engineerfix.com, scored just 17 out of 100, while made-in-china.com scored 77, higher than any top-mentioned brand.
Semrush’s conclusion: website authority may correlate more with being mentioned by AI than with being cited as a source. Good news for brands already investing in the same strategies that build traditional manufacturing SEO authority.
Why does ChatGPT cite a site that Google’s AI platforms ignore?
The engineerfix.com case illustrates just how differently AI platforms operate. According to Semrush, this reference site is heavily cited by ChatGPT but does not appear in Google’s top-cited sources across Gemini, AI Mode, or AI Overviews. On Google, the site ranks for only about 3,700 keywords with minimal estimated traffic.
Yet Semrush Traffic Analytics shows the site pulls close to 300,000 monthly organic search visits. The explanation: DuckDuckGo, Bing, and Yahoo account for over 68% of its traffic, while Google accounts for less than 2%. OpenAI has its own training data, source partnerships, and citation logic. Google has its own. A strategy that wins citations from ChatGPT may not win the same citations from Google’s AI at the same rate.
Does more AI visibility automatically lead to more AI traffic?
Not consistently. Semrush’s analysis of AI traffic to top-mentioned and top-cited domains found no clean correlation between mention or citation counts and actual AI-referred visits. Siemens.com’s AI traffic exceeded what its mention count would predict. Engineerfix.com led in ChatGPT citations but received a fraction of the AI traffic that lower-ranked domains attracted.
Semrush points to an important distinction: the type of page being cited shapes whether a visit follows. A citation pointing to a distributor like Grainger or a marketplace like made-in-china.com gives a buyer somewhere to order. A citation pointing to a reference article gives them something to read, with no obvious next action. Both types of citations exist in this study, but they do not produce the same downstream behavior.
What this means for AI-search visibility
The simplest read of this data: AI mentions and AI citations are not the same prize, and they are not won with the same strategy.
Think of it this way. If a buyer asks ChatGPT “who makes industrial valves?” and it says “companies like Emerson and Parker Hannifin,” that is a mention. It reflects brand reputation accumulated over years. If the AI says “according to this product guide at grainger.com,” that is a citation. It reflects content relevance and source trust on a specific query. Optimizing for one does not automatically earn you the other.
The Semrush data also shows these platforms operate independently. A site can dominate ChatGPT citations while remaining largely invisible on Google AI. Hingewise’s read: brands tracking AI visibility only through Google Analytics are measuring an incomplete picture. The game runs across multiple AI systems simultaneously, each using different signals to decide what to surface. Manufacturing SEO strategies built purely around Google rankings are unlikely to capture the full citation landscape.
The 0.48% direct AI traffic figure is real but arguably the least revealing number in this study. Semrush’s B2B buyer survey suggests AI’s actual influence on purchasing decisions is far larger than that number captures. The attribution is just harder to see. Growing direct traffic and branded search volume may be more reliable early indicators of AI-driven influence than AI referral sessions alone.
One dynamic the Semrush data does not address, but is worth monitoring: what happens as more commercial queries gain AI Overviews. The feature grew 19 points in six months, now covering 57% of tracked manufacturing search volume. If that rate continues, the gap between AI visibility and measurable AI traffic will become a more urgent measurement challenge for industrial marketers, not a peripheral one.
Before optimizing for manufacturing AI visibility: a quick checklist
- Audit which AI platforms (ChatGPT, Gemini, AI Overviews, Perplexity) currently mention or cite your brand, not just Google.
- Determine whether your brand earns mentions, citations, or both: these require different content and authority strategies.
- Track direct traffic and branded search alongside AI referral sessions to capture the full influence of AI on the buyer journey.
- Map your top-cited pages by intent: informational citations (reference articles) drive less direct follow-through than commercial citations (product pages, distributor listings).
- Review your Authority Score and backlink profile: Semrush’s data suggests domain authority correlates more with AI mentions than citations.
- Check which search engines beyond Google drive traffic to your site. Bing, DuckDuckGo, and Yahoo rankings may independently influence ChatGPT citations.
- Segment target queries by intent: informational queries are more likely to trigger AI Overviews that suppress clicks; commercial queries may still produce direct visits after an AI interaction.
Source: Semrush Blog, “AI search & manufacturing SEO: What the data shows,” 2026. Data covers January through July 2026 across 458 manufacturing and industrial keywords, using Semrush keyword/SERP data, clickstream data, and AI Visibility database.
Sources
This article was drafted with AI assistance from the sources cited above and checked against them before publishing. The "What this means for AI-search visibility" section is Hingewise's editorial analysis, built on the frameworks and positions we use in our GEO work. How we work: Editorial policy.