There is no universal channel for AI visibility. Each engine draws on its own sources, and the studies that compare them agree: 75 to 80% of cited sites are cited by one engine only. A brand that ChatGPT cites can be absent from Perplexity, with nothing in its tools to flag it.
Publishing "for AI" in general is not enough. The work is to learn which engine reads what in your category, then invest where your customers ask their questions.
Since September, one piece of advice has been everywhere, including in a HubSpot guide: post on LinkedIn to get into AI answers. The data partly backs it. It also shows where it stops working, especially for an e-commerce brand.
Is LinkedIn really the top source for AI engines?
For professional queries, yes. Profound analyzed 1.4 million citations across six platforms (ChatGPT, Gemini, Google AI Overviews, AI Mode, Copilot and Perplexity) between November 2025 and February 2026. LinkedIn became the most cited domain on professional questions. In ChatGPT, it climbed from roughly 11th place to 5th in three months.
Semrush reaches the same conclusion with a different method: 325,000 prompts run on ChatGPT Search, Google AI Mode and Perplexity in January and February 2026. LinkedIn ranks as the second most cited domain, behind Reddit, and appears in 11% of answers on average.
For a B2B software company, the advice holds. The question is what that average hides.
Why does the same source carry three times less weight from one engine to the next?
Semrush's 11% covers wide gaps between engines.
| Engine | Answers citing LinkedIn |
|---|---|
| ChatGPT Search | 14.3% |
| Google AI Mode | 13.5% |
| Perplexity | 5.3% |
Source: Semrush, 325,000 prompts, January-February 2026.
The type of page read changes too. On ChatGPT Search and AI Mode, 59% of LinkedIn citations point to individual members. On Perplexity, 59% point to company pages.
A brand that only publishes from its company page is therefore working mostly for Perplexity, the engine where LinkedIn matters least. A brand that invests in its leaders' voices is working for ChatGPT. Those are two editorial strategies, with two different costs.
And on Perplexity, as on the other two engines in the study, the top cited source is not LinkedIn. It is Reddit.
What is a visibility blind spot?
A visibility blind spot is a query on which your brand is missing from one AI engine while present on the others, or missing from all of them while your competitors appear. It shows up in no analytics tool: an AI answer that doesn't cite you generates neither an impression nor a click.
It is the main risk of an AEO strategy built on a single source. You can win ChatGPT through LinkedIn, and lose Perplexity to a Reddit thread nobody on your team follows.
What about an e-commerce brand?
The LinkedIn studies cover professional queries. Someone asking ChatGPT "which organic cotton boxers should I buy" or "which audio storyteller for a 4-year-old" doesn't trigger the same sources. Product answers lean more on forums, comparison sites, reviews and specialist media.
LinkedIn still helps a DTC brand on three fronts:
- queries about the company itself: founders, commitments, employer brand;
- B2B queries: corporate gifting, resellers, partnerships;
- the overall credibility of the entity, which engines cross-check from one source to the next.
It doesn't replace the work on product sources. So the question is not "should my brand post on LinkedIn?" but "which sources do ChatGPT, Gemini and Perplexity read when asked about my category?". The answer can be measured. It can't be guessed.
Why does this channel deserve budget when it drives 1% of visits?
Two trends meet.
Organic clicks are eroding. Ahrefs compared 300,000 keywords between December 2023 and December 2025: the presence of an AI Overview is associated with a 58% lower click-through rate for the top-ranked page. Seer Interactive measures a drop of the same order: 61% since mid-2024 on informational queries that show an AI Overview. Ranking first on Google is worth less when the answer is already on screen.
AI traffic is still small, and its value is contested. It accounts for about 1% of visits according to Conductor. On conversion, the studies diverge sharply, and how each defines a conversion explains much of the gap.
| Study | Scope | Result |
|---|---|---|
| Similarweb | Visits referred by ChatGPT | 11.4% conversion, against 5.3% for organic |
| Semrush | Visitors from AI search | Conversion about 4.4 times higher than organic |
| Ahrefs | Its own site | 0.5% of traffic, 12.1% of signups |
| University of Hamburg and Frankfurt School | 973 e-commerce sites, 12 months | Conversion about 13% below Google organic, but rising every month |
The last study points to a limit they all share: it measures the last click, and misses the role AI plays earlier in the research. The sound move is to isolate this channel in your own data rather than import an average multiplier.
The budget consequence, though, doesn't hinge on the conversion rate: part of demand is now decided inside an AI answer, before any click. If your brand isn't in it, neither SEO nor paid will recover that intent. What people ask AI about your market and what they type about your name in Google are two sides of the same demand: Brand Radar and GEO read both in the same system.
What gets content cited?
Three conditions come up whatever the engine.
Being read, first. Before answering, engines run their own searches and go through pages. Not all of them make it into the answer: according to AirOps, roughly one page in seven that ChatGPT retrieves ends up cited. And a page AI crawlers can't read is never in the pool.
Bringing original data. A figure only you publish gives the engine a reason to cite you. A summary of figures already out there, it can take from anyone.
Being easy to extract. A direct answer up top, crisp definitions, subheadings phrased as questions. An engine more readily lifts a paragraph that answers a question on its own.
None of these conditions guarantees a citation on every engine. They raise your odds on the one you are targeting.
Where to start?
- List your decision queries. The 30 to 50 questions a customer asks before buying in your category, phrased the way they would ask ChatGPT.
- Measure your brand's presence, engine by engine. ChatGPT, Gemini, Perplexity, Google AI Overviews. Note who gets cited in your place.
- Record the sources being read. For each answer, the domains cited: your site, LinkedIn, Reddit, a comparison site, a publication.
- Check accuracy. Is what the engines say about your prices, products and commitments correct? The method is laid out in the guide to auditing what AI says about your brand.
- Invest in the sources that count. LinkedIn if your queries are professional and ChatGPT carries weight in your market. Reddit and comparison sites if Perplexity is your blind spot.
This is what Nanga's GEO module does. It runs your prompts on ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI Overviews and Google AI Mode, run after run, and measures your AI Visibility Index engine by engine, against your competitors. It shows source share, by domain and by page, along with fan-out: the searches each engine runs before it answers. The AI audit, in beta, checks the engines' answers against your source of truth and verifies that their crawlers can reach your site. Community tracks your presence on Reddit and YouTube, and AI traffic measures in GA4 the visits assistants send you.
The pages engines read are often pages your SEO can win: Nanga puts them in front of the same team. For the rest of your marketing, campaigns, sales and Search Console, Kily, Nanga's agent, takes over.
You see the whole map before choosing your route up.
To see which sources your brand is cited from, engine by engine: request a demo.
Frequently asked questions
What is AEO?
Answer Engine Optimization covers the practices that raise a brand's chances of being cited in the answers of AI engines: ChatGPT, Gemini, Perplexity, Google AI Overviews. It is also called GEO, for Generative Engine Optimization.
Which sources does ChatGPT cite?
It depends on the question. On professional queries, LinkedIn is the most cited domain according to Profound. Across a broader sample of 325,000 prompts, Semrush puts Reddit first, ahead of LinkedIn. For a product category, only a measurement on your own queries gives the answer.
Is posting on LinkedIn enough to show up in ChatGPT?
No. ChatGPT cites LinkedIn heavily on professional queries, mostly through individual members. LinkedIn carries nearly three times less weight on Perplexity (5.3% of answers, against 14.3% on ChatGPT Search) and much less on consumer product queries.
Why is my brand visible on ChatGPT but not on Perplexity?
The two engines don't read the same sources: depending on the study, 75 to 80% of cited sites are cited by a single engine only. On LinkedIn, Perplexity mostly cites company pages while ChatGPT mostly cites individual members. Across the three engines Semrush studied, Reddit remains the top source.
Does traffic from AI engines convert better?
The studies disagree: from about 13% below Google organic across 973 e-commerce sites (University of Hamburg and Frankfurt School) to 23 times better on Ahrefs's own site. Measure it on your own data before building a budget assumption on it.
Sources:
- HubSpot, The AEO Advantage: How LinkedIn Puts Your Brand Inside AI Answers, September 2026.
- Profound, LinkedIn is the most cited domain for professional queries in AI search, 2026.
- Semrush, LinkedIn AI visibility study, March 2026.
- cloro, AI visibility: sources, July 2026.
- Wellows, analysis of 22.7 million citations across five AI engines, January-June 2026.
- Ahrefs, Update: AI Overviews Reduce Clicks by 58%, February 2026.
- Seer Interactive, AIO Impact on Google CTR: September 2025 Update.
- Conductor, AEO/GEO Benchmarks Report 2026, summarized by Superlines, The State of GEO in Q1 2026.
- Similarweb, compiled by Passionfruit, AI Search Statistics.
- Semrush, study on the value of AI search visitors, June 2025, summarized by DEV Community.
- Ahrefs, Does AI Search Traffic Convert Better Than Traditional Search?, June 2025.
- Kaiser, Clement and Schulze, ChatGPT Referrals to E-Commerce Websites: How Do LLMs Compare Against Traditional Channels?, Marketing Science.
- AirOps, Optimizing for AI Search: Beyond Keywords to Citation Visibility in ChatGPT, 2026.