Ranking well in traditional search and being cited by AI tools like ChatGPT, Claude, Perplexity, Google’s AI Overviews, and Gemini require different things from your content.
At Solve, we’ve been tracking this shift closely and analysing what content performs best for AI visibility. To go beyond our own data, we spoke with leading SEO experts working at the intersection of SEO, AI search, and content strategy to understand what is actually working in practice.
This guide breaks down what content performs best for AI visibility in 2026 based on live data, practitioner insight and real citation patterns.
Table of Contents
AI Traffic Is Growing Fast. Content Strategy Has To Catch Up
What content performs best for AI visibility is increasingly shaped by usage growth in LLMs and AI search tools. Let’s start with the numbers.
Webflow’s research showed a 125% increase in LLM-referred traffic in 2025. Our own data from Lawrence’s piece on how AI is changing SEO points to AI-referred sessions rising by over 500% in a single four-month window earlier this year.
That’s not a trend you can afford to sit out. But it does demand a different approach to content.
What Content Performs Best for AI Visibility? “Human-Sounding” Content Wins
One of the strongest signals of what content performs best for AI visibility is natural, human-readable language.
One of the most striking insights about this came from Helene Simon, EMEA GTM at Webflow:
“Marketing-speak sounds impenetrable to a human – and it’s just as unattractive to AI. LLMs value clear value without a filter. Human consensus from real humans matters to LLMs far more than search terms.”
Large language models are trained on human communication. The corporate waffle, the keyword-stuffed paragraphs, the legal boilerplate… none of it serves a reader, and it will actively work against you in AI search too.
Helene makes a second point about the importance of community over broadcasting. Brands that earn credibility in AI results aren’t just publishing content on their own site. They’re participating in real conversations in a way that fits the context on forums, industry communities and social platforms. AI systems interpret it as a signal of genuine authority.
Structure Consistently Outperforms Length
Across datasets, what content performs best for AI visibility is consistently structured content. If your best blog posts bury the answer in paragraph four after a lengthy introduction, they’re much less likely to be pulled into an AI response.
Aidan van Vuuren at Peak Digital has tracked AI referral sessions across 30+ client accounts, and the pattern is consistent:
“FAQ-formatted content, How-To guides with numbered steps, and comparison pieces earn AI citations at a meaningfully higher rate than narrative blog posts or opinion pieces. Pages that open with a specific question and answer it directly in the first sentence outperform those that bury the answer.”
This aligns with what Richard Morgan Evans, CEO of Sapience Communications, has observed across recent GEO research. According to multiple studies his team has reviewed, around 63% of AI-generated citations come from listicle-style or highly structured pages rather than long-form editorial content. He says that adding structured elements such as citations, statistics, and clearly defined sections can increase visibility in generative search systems by up to 30–40%.
AI systems are retrieval machines. They extract the most useful, extractable answer – and if yours isn’t easy to lift out, it’ll be passed over for one that is.
Original Data Is Your Biggest Advantage Right Now
Beyond structure, there’s one content type that stands above the rest when it comes to earning AI citations: original data.
Aidan van Vuuren again:
“Pages containing a named study, proprietary dataset, or first-party research function as primary sources – and LLMs preferentially cite primary sources.”
This directly answers what content performs best for AI visibility:
- FAQ content
- Step-by-step how-to content
- Comparison pages
- Direct Q&A formats
This is a significant opportunity, especially for businesses that have data they’re not using. Customer surveys, internal benchmarks, case study results, industry audits – if you’ve got it, publishing it (with clear attribution and clean formatting) gives AI systems a reason to treat your site as a source worth citing.
Google Rankings and AI Visibility Are Now Separate Systems
This is perhaps the most important finding in the AI visibility space right now. Better Google rankings do not automatically translate to better AI visibility.
Traditionally, SEO assumed a fairly direct relationship: improve rankings → increase visibility → increase traffic. That logic is breaking down in AI-driven search environments.
Aidan van Vuuren shared a striking real-world example from a recruitment industry client. Over the course of a single month, their organic Google rankings improved and estimated traffic rose by around 15%. But their AI citations fell by roughly 9%, with cited pages down around 7.5%. Their overall AI visibility score sat at just 28 out of 100.
The client did everything “right” in classic SEO terms, and rankings improved with organic traffic following. But AI systems responded differently, reducing citations and overall visibility. Success in one doesn’t mean success in the other.
The same client’s experience also reveals something important about where AI citations actually come from for competitive queries. When they appeared inside a Google AI Overview, it was in the “features” section – not the main list. That main list was built almost entirely from third-party sources: review platforms like G2 and Capterra, and editorial roundups.
“For the placements that matter most, the content that wins is not on your own site at all. It is other people’s listicles and reviews.”
This is a fundamental shift in how visibility works. If you’re only tracking rankings and traffic, you’re effectively blind to a growing share of discovery behaviour. Earning AI citations isn’t purely an on-site content problem. It’s a reputation and authority problem, and one that requires you to be present and well-represented across the wider web, not just on your own pages.
Trust Underpins Everything
One thing that’s easy to overlook in all the talk about structure and format: AI will not pull from a page it cannot trust. The fundamentals still matter. A beautifully structured FAQ on a broken or inaccurate page isn’t going to earn you citations.
AI Visibility Is Still Evolving As A Measurement Discipline
One area where the tooling is still evolving is measurement. An emerging framework in the GEO space is to treat AI search visibility as a distinct performance metric, separate from traditional search rankings.
The goal isn’t just to rank. It’s to be the most trustworthy, easily extractable source for a given question.
Tom Mason, founder of AwarenessAI, frames it through his AIRO (AI Recommendation Optimisation) methodology, which focuses on how companies are represented and ranked within AI tools.
Lawrence Harmer, Solve: “AI Search Is Forcing a Rethink of What ‘Visibility’ Means”
Lawrence Harmer, founder of Solve, has been watching this shift play out in real time:
“What we’re seeing in the data confirms what we’ve felt intuitively for a while. The rules of the game have changed fundamentally. When we wrote about zero-click searches earlier this year, the central point was that visibility now means something broader than a ranking position. AI is accelerating that shift dramatically.
The businesses asking ‘why aren’t we in the AI results?’ are often the same ones producing technically decent content that reads well, but an AI can’t lift a clear, citable answer out of it.
The solution isn’t complicated, and these aren’t new ideas. They’re just more important now than they’ve ever been. The businesses that will win in AI search are the same businesses that have always won in good content marketing: the ones that are genuinely useful, genuinely trustworthy, and genuinely present in the conversations their customers are having.”
Lawrence’s key takeaways:
- Write for humans first
- Answer questions directly and quickly
- Structure your content so the answer is clear
- Build genuine authority on and off your own site through backlinks, reviews, community presence, and original data
What This Means in Practice
If you’re thinking about where to start, here’s a straightforward framework based on everything above:
On your own site:
Audit your most important pages. Does each one open with a clear question or problem? Is the answer in the first paragraph? Do you have structured sections, numbered lists where appropriate, and at least one citable data point? If not, those are your quick wins.
On the wider web:
Where is your brand being mentioned? Are you present on the review platforms relevant to your sector? Are you earning editorial mentions in the roundups and listicles AI systems draw on for competitive queries? This is where PR, outreach, and community participation come in.
On trust:
Before you do anything else, check your own pages for accuracy. Wrong information, broken content, and metadata mismatches are trust signals, and AI won’t cite a source it can’t rely on.
The Bottom Line
Generative engine optimisation is an essential part of any serious content strategy.
The good news is that the content principles that work for AI search are the same principles that good writers and editors have always followed: be clear, be direct, be accurate, be useful.
Structure your thinking. Back up your claims. Earn your reputation.
AI systems are increasingly the first stop for purchase decisions, comparisons, and recommendations. If your content isn’t the answer they reach for, a competitor’s will be.
Solve is an award-winning, B Corp-certified digital growth agency based in Cornwall, specialising in SEO, AI search optimisation, content strategy, and web design. If you’d like to understand how your content is performing in AI search – and what to do about it – get in touch with the team.
With thanks to Helene Simon (Webflow), Aidan van Vuuren (Peak Digital), Richard Morgan Evans (Sapience Communications), and Tom Mason (AwarenessAI) for their contributions to this piece.
FAQs About Content and AI Visibility
What content performs best for AI visibility?
The content that performs best for AI visibility is structured, question-led, and easy for AI systems to extract. FAQ pages, how-to guides, comparison content, and pages with original data consistently outperform long-form narrative blogs in AI citations.
How is AI visibility different from SEO rankings?
SEO rankings measure where a page appears in search results, while AI visibility measures whether content is cited or used inside AI-generated answers. A page can rank highly in Google but still have low AI visibility if it is not structured for extraction.
Why does structured content perform better in AI search?
Structured content performs better because AI systems prioritise clarity and extractability. Content that uses headings, bullet points, step-by-step instructions, and direct answers is easier for AI models to summarise and cite.
Does ranking on Google improve AI visibility?
Not necessarily. While there is some overlap, AI systems use different signals such as clarity, authority, and format. A high-ranking page may still have low AI visibility if the content is not easy to interpret or cite.
What types of content get cited most by AI tools like ChatGPT and Perplexity?
AI tools most often cite FAQ pages, how-to guides, comparison pages, listicles, and original research. These formats provide direct answers and structured information that can be easily reused in generated responses.
Why is original data important for AI visibility?
Original data is important because AI systems prioritise primary sources. Pages containing proprietary research, surveys, or unique datasets are more likely to be cited than generic commentary or rewritten information.
How can businesses improve AI visibility?
Businesses can improve AI visibility by structuring content clearly, answering questions directly, using original data, and building authority across external platforms such as reviews, communities, and industry publications.
Do backlinks still matter for AI visibility?
Yes, but their role is evolving. Backlinks still contribute to authority, but AI systems also rely heavily on content clarity, structured information, and third-party mentions from trusted sources.
Is AI visibility becoming more important than SEO?
AI visibility is becoming a parallel discovery channel rather than a replacement for SEO. However, its influence is growing quickly as more users rely on AI tools for recommendations and answers instead of traditional search results.
