HomeSEOFindings from Our AI Visibility Examine

Findings from Our AI Visibility Examine


We analyzed search prompts throughout 5 main industries—finance, digital know-how, enterprise providers, client electronics, and trend—utilizing ChatGPT and Google AI Mode to disclose how AI search operates in comparison with conventional Google rankings.

The findings reveal that AI search contradicts conventional search engine optimization knowledge about authority, experience, and supply credibility.

For instance, Reddit outranks monetary specialists 176% of the time when ChatGPT solutions finance questions, regardless of YMYL pointers prioritizing authoritative sources.

This discovering represents simply one in all 4 stunning patterns that will rewrite the foundations of search visibility.

4 Stunning Discoveries About How AI Search Actually Works

Group-Generated Content material Outranks Official Advertising in AI Citations

AI fashions belief community-edited sources greater than official model advertising, with Wikipedia and Reddit persistently outranking company web sites throughout all industries.

Wikipedia seems because the #1 or #2 cited supply in 4 of 5 verticals studied. 

In digital know-how, Wikipedia generates 167.08% quotation frequency in ChatGPT responses—that means it is referenced greater than as soon as per immediate on common.

Bar chart comparing top digital tech sources in ChatGPT vs Google AI Mode.

Assessment platforms like G2 rank because the fourth most-cited supply in digital know-how (20.04% ChatGPT), whereas official firm web sites not often seem in high supply lists.

Even established manufacturers lose this battle. 

Microsoft’s company weblog generates fewer AI citations than Reddit threads about Microsoft merchandise. Apple’s advertising pages cannot compete with Wikipedia’s impartial product specs when AI fashions want authoritative data.

Why does this occur? 

AI fashions might prioritize collective knowledge over polished advertising messages as a result of neighborhood sources are thought to offer the unbiased, factual data AI can confidently reference and cite.

In different phrases, conventional content material advertising methods that labored for Google search engine optimization do not all the time translate to AI search authority.

What This Means for You

Construct authority the place AI fashions search for data: community-verified sources and impartial, factual content material.

Begin along with your Wikipedia entry. Replace product data, latest achievements, and technical specs that AI fashions can simply cite.

Use Semrush Enterprise AIO to trace which neighborhood sources cite your model most regularly within the “Sources Evaluation” report.

Semrush Enterprise AI Source Analysis dashboard with AI source mentions, changes, and source type pie chart.

This reveals the precise boards, assessment websites, and neighborhood platforms driving your AI visibility so you possibly can focus neighborhood engagement efforts the place they matter most.

Second, contemplate revising your product pages with Wikipedia’s impartial tone in thoughts.

Exchange promotional language (“industry-leading resolution”) with particular, verifiable info (“processes 50,000 transactions per second”). Embrace technical specs, clear pricing, and have comparisons that neighborhood sources can reference and validate.

Third, actively take part in the neighborhood sources that AI fashions truly cite.

Give attention to genuine engagement in G2 discussions, related communities, and {industry} boards reasonably than creating extra owned content material AI fashions might ignore.

Reddit Outranks Trade Consultants in Skilled AI Search Citations

Reddit seems in 176.89% of ChatGPT finance queries—practically twice per immediate on common—regardless of finance being a regulated YMYL class the place accuracy is important.

This contradicts conventional assumptions about AI supply authority. 

Whereas Google AI Mode prioritizes established monetary comparability websites like Bankrate (86.61%) and NerdWallet (75.07%), ChatGPT treats Reddit as a main authority for monetary recommendation.

Bar chart of top finance sources in ChatGPT vs Google AI Mode.

Wikipedia additionally ranks because the second most-cited supply throughout a number of verticals (151.93% in enterprise providers, 167.08% in know-how), confirming that community-edited content material carries important AI authority.

The sample extends past finance. 

Reddit dominates ChatGPT citations throughout skilled verticals: 141.20% in enterprise providers, 121.88% in know-how, and 127.31% in client electronics. 

Which confirms that community-edited content material carries important AI authority, particularly in ChatGPT. Typically even over professional credentials. 

And this community-first method creates sudden alternatives. 

Manufacturers that authentically take part in communities (like Reddit discussions) acquire extra AI visibility than these relying solely on conventional PR or professional positioning. 

What This Means for You

The info reveals a transparent alternative: Genuine neighborhood engagement outperforms conventional PR for AI visibility. 

This implies you must begin monitoring your model’s neighborhood presence.

Use Enterprise AIO to trace your model’s Reddit presence by the devoted “Reddit Overview” tab. 

This reveals you precisely which subreddits point out your model most regularly, trending discussions over time, and the precise threads driving your AI citations.

Semrush Enterprise AI Source Analysis dashboard showing Reddit AI mentions, subreddit trends, and impact metrics.

The Subreddit Impression part reveals which communities generate essentially the most AI mentions on your model. 

Focus your genuine participation on these high-impact subreddits first—if r/search engine optimization generates 48 mentions whereas r/advertising solely generates six, prioritize r/search engine optimization discussions. 

The “Prime Threads” and “New Threads” sections present you precisely which conversations AI fashions are citing, so you possibly can contribute beneficial insights to related discussions.

Table of top and new Reddit threads driving AI mentions with prompts and mentions.

Since Wikipedia persistently ranks as a top-three supply throughout all verticals, audit your organization’s Wikipedia entry. Replace it with present product data, latest achievements, and particular particulars that AI fashions can simply reference and cite.

Huge Tech Dominates Client AI Search Whereas B2B Markets Present Intense Competitors

Model range scores reveal what number of totally different firms AI fashions point out when answering questions. 

Client electronics has the bottom scores (1.22 ChatGPT, 1.36 Google AI Mode), that means AI sometimes mentions solely 1-2 manufacturers per question.

Enterprise providers present the other sample. With range scores of 4.72 (ChatGPT) and 4.60 (Google AI Mode), AI fashions point out practically 5 totally different manufacturers for each enterprise question. 

Bar chart showing brand diversity scores across sectors for ChatGPT and Google AI.

This segmentation reveals a transparent aggressive break up throughout industries.

In client electronics, three firms dominate the whole lot. Samsung leads at 58.08% share of voice, Apple follows at 48.84%, and Google takes 38.51%. 

B2B markets work otherwise. 

In enterprise providers, Google leads at simply 23.22%, adopted by Zoho at 16.70% and HubSpot at 15.40%. No single firm controls the dialog, creating alternatives for smaller gamers to achieve visibility.

Finance reveals a longtime hierarchy with decrease range scores (2.59 ChatGPT), whereas trend and digital know-how fall between the extremes.

What This Means for You

Your technique ought to match your {industry}’s aggressive actuality reasonably than following generic AI optimization recommendation.

In client electronics, you possibly can’t beat Apple and Samsung at their very own sport, so personal a selected class as a substitute. 

For instance, Garmin achieves 31.15% share of voice by focusing solely on health wearables and GPS units reasonably than competing on the whole smartphones or tablets.

For B2B firms, the excessive range scores imply AI fashions actively search totally different choices to advocate. 

This creates three alternatives: 

  1. Declare experience in particular area of interest use instances
  2. Goal long-tail queries the place the massive gamers do not focus
  3. Construct authority in particular workflows or integrations the place customers want specialised options

Use Enterprise AIO to investigate competitor model efficiency throughout totally different AI platforms. 

The “Competitor Rankings” dashboard reveals your opponents’ share of voice, place adjustments, and point out frequency. You may filter by particular LLMs to see how your aggressive panorama differs between ChatGPT, Google AI Mode, and different platforms.

Semrush Enterprise AI Competitor Rankings dashboard with competitor brand performance and brand change bubble charts.

Give attention to discovering particular alternatives within the information.

For instance, establish opponents with declining share of voice (crimson arrows within the “Model Modifications” part)—these signify market gaps you possibly can fill. 

Or search for manufacturers with excessive point out frequency however low share of voice. They’re getting talked about however not positioned favorably. 

Use the “Model Rankings” desk to see precise place adjustments and point out counts. So you possibly can monitor whether or not your AI optimization efforts are working and establish which opponents to focus on subsequent.

Table ranking brands by share of voice, position, prompts, and product count.

If the enterprise product isn’t best for you, monitor your AI visibility with the AI search engine optimization Toolkit as a substitute.

Most Talked about Manufacturers Fail to Develop into Trusted AI Sources

Solely 6-27% of essentially the most talked about manufacturers additionally rank as high sources that AI fashions cite, relying on {industry} and platform—which implies most manufacturers are lacking half of their potential AI visibility.

This divide creates two separate alternatives for AI search dominance. 

You may be the model AI talks about when customers examine choices and/or the model AI trusts when offering factual data. 

Most firms by accident give attention to only one path, leaving important alternative on the desk.

The hole is stark throughout all industries. 

Finance reveals the perfect overlap with 22-27 manufacturers reaching each mentions and supply authority, whereas trend reveals the worst with solely three manufacturers on ChatGPT managing each. 

Bar chart of source mention overlap by sector between ChatGPT and Google AI Mode.

Even profitable firms fall into this lure—Zapier ranks because the #1 cited supply in digital know-how however solely #44 in model mentions.

The rationale lies in how AI fashions make selections. 

When customers examine manufacturers (“greatest CRM software program”), AI depends on sentiment from Reddit discussions and assessment platforms. 

When customers want factual data (“CRM pricing and options”), AI seeks structured content material from official web sites and authoritative publications.

Google AI Mode reveals greater overlap between mentions and sources (17-27 manufacturers) in comparison with ChatGPT (3-22 manufacturers), reflecting Google’s desire for industrial sources over neighborhood discussions.

What This Means for You

Construct two distinct methods: one for getting talked about in model comparisons and one other for being cited as an data supply. 

Most manufacturers by accident optimize for under mentions or solely sources, lacking half their potential visibility.

For model mentions, give attention to constructive sentiment in assessment platforms and Reddit discussions the place customers examine choices. 

For supply citations, create structured, factual content material with clear specs, clear pricing, and verifiable data AI fashions can confidently reference.

Monitor these metrics individually with Enterprise AIO

The platform reveals which sources cite your model versus which responses point out you, revealing whether or not you must give attention to reputation, authority, or each.

Table showing AI source performance with mentions, changes, and percentages by domain.

Corporations that grasp this twin method will seize each side of AI search whereas opponents give attention to only one.

Begin Monitoring Your AI Search Efficiency

AI search follows totally different guidelines than conventional search engine optimization. 

Reddit outranks specialists, platforms cite totally different sources, and most talked about manufacturers wrestle to turn into trusted authorities.

The chance is evident whereas opponents give attention to Google rankings. 

Use Semrush Enterprise AIO to trace your model efficiency throughout ChatGPT, Google AI Mode, and different platforms. Determine which sources drive competitor visibility and discover gaps you possibly can fill.

Begin with measurement, then construct each the neighborhood presence and authoritative content material that AI fashions truly worth.

Entry the whole AI Visibility Index with interactive {industry} breakdowns and competitor benchmarks to construct your individual data-driven technique.

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