Could AI Make Search Optimisation More Human?
In this article, we unpack:
- Why AI search is starting to behave more like human research
- Why real experience, proof and consistency are becoming more valuable
- How to write for people without abandoning strong SEO foundations
For years, SEO has had a slightly awkward relationship with people.
We say search optimisation is about helping people find useful answers. But plenty of optimisation has started with a different question:
What does the algorithm want?
Keywords. Links. Technical signals. Sometimes, at the more aggressive end, a few creative attempts to game the system without being caught.
Now AI is changing how search works, and it may be pushing us back towards the person at the other end of the question.
Which is unexpected, considering AI is supposed to be the least human thing in the room.
Search Is Becoming More Like Research
People aren’t only typing short phrases into Google and choosing from a list of links.
They’re asking longer questions and using ChatGPT, Gemini, Perplexity, and Google’s AI features to compare options, understand complicated subjects and work out what to do next.
AI search can take one broad question, break it into related searches, compare sources and build a response around what it finds.
Neil Patel puts it this way:
AI search is starting to behave less like someone scanning a directory and more like a customer with 14 tabs open, three review sites loaded and a healthy suspicion of anything that sounds too polished.
Your Website Isn’t the Only Source Anymore
When someone asks an AI platform about a business, it may look beyond the company website.
It can draw on reviews, videos, forums, articles and business listings. It may also look for consistency across the website, Google Business Profile and social platforms.
Customers are cross-checking too.
Yext’s 2026 research found that people commonly verify AI recommendations through Google, business websites, reviews and cited sources.
So even if AI introduces someone to your business, the rest of your online presence still needs to hold up.
Real Experience Is Harder to Manufacture
AI is very good at summarising information that already exists.
What it doesn’t have is your experience.
It hasn’t managed the project that went sideways, answered the same customer concern 200 times or discovered that the technically correct answer doesn’t always survive contact with the real world.
Those experiences produce details that generic content tends to miss.
A tradesperson can explain what usually causes a problem because they’ve seen it repeatedly.
A consultant can explain why a perfectly sensible-looking strategy failed.
A business owner can answer the question customers are thinking but rarely ask directly.
That kind of knowledge is increasingly valuable because it gives both people and AI systems something more useful to work with.
The goal isn’t simply to make your content sound human.
It’s to include something a human could only know because they’ve actually done the work.
What We’ve Learned From Using AI Ourselves
This isn’t theoretical for us.
We talk about AI a lot at Vizzably. Partly because it’s changing the work we do, but also because most of us have now had conversations with friends, family and the odd stranger where we’ve been confidently informed that “your job is going to disappear soon”.
Comforting? Not so much.
And while hearing it repeatedly can get a little tiring, it has forced us to grapple with an important question:
What is it that we actually bring to the digital marketing equation?
What we’re finding, and what the research increasingly supports, is that while AI is having an undeniable and fundamentally course-altering effect on digital marketing, the skills we’ve built over years of doing this work are becoming more valuable, not less.
As a team, we studied, learned and relearned our craft in a world where AI was still largely a plotline for the likes of James Cameron.
We’ve written the content. Built the campaigns. Worked through the strategy. Watched ideas succeed, watched others fall over, learned from both and adjusted accordingly. There are years of original creative work, client conversations and real-world marketing experience sitting behind what we do.
And increasingly, we’re seeing that as our superpower.
We were doing this before AI stepped onto the playing field, and we aren’t about to outsource our creativity, expertise or judgment to it.
Instead, AI has become an incredibly powerful tool for helping us make more of those things.
We use it to deepen research, analyse information, test ideas, explore different approaches, challenge our thinking and speed up parts of the process that used to take significantly longer.
We talk about that constantly within the team. Not “How can AI do this instead of us?” but “How can we use this to arrive at a better outcome for the client?”
That distinction matters.
AI can help us process enormous amounts of information. It can uncover patterns, organise thinking and give us a faster starting point.
But it doesn’t bring years of experience to the conversation.
It hasn’t sat across the table from a client trying to work out why their leads aren’t converting. It hasn’t watched a campaign perform differently from the way the strategy deck said it should. It hasn’t learned when the technically correct answer doesn’t survive contact with an actual customer.
That context still comes from people.
And perhaps that’s one of the more interesting effects AI is having on marketing.The better the tools become, the more valuable it becomes to know what to ask, what to believe, what matters and what to do next.
AI can supercharge expertise.
It can’t manufacture the experience behind it.
There’s Still a Trust Issue
AI search use is growing, but people aren’t automatically trusting every answer it produces.
Research published by Search Engine Land in 2026 found that usage had increased while the proportion of consumers who considered AI search more helpful than traditional search had fallen.
Klaviyo has also found that generic or low-quality AI content can reduce trust in a brand.
That makes the human layer more valuable.
Clear authorship, first-hand experience, supporting evidence and a recognisable point of view help customers understand why they should trust what they’re reading.
And for the sci-fi fans, yes, you. We see you quietly deciding whether this is more Star Trek or Terminator.
We’d suggest aiming for the Enterprise rather than Skynet.
The Enterprise computer can process enormous amounts of information almost instantly. Impressive, yes. But Picard and the crew still bring the experience, context and judgment to decide what happens next.
Skynet is what happens when the machines take over the whole process and nobody thinks to keep a human in the loop.
We’re not suggesting your next AI-generated blog post is about to become self-aware and demand control of the marketing budget.
But if one AI writes the content, another summarises it and a third cites it, we can quickly end up with machines talking to machines while the actual customer gets lost somewhere in the middle.
AI should help us research, organise and communicate more effectively.
It shouldn’t replace the real knowledge that makes the information worth finding in the first place.
Write for People, Then Help AI Understand
None of this means abandoning SEO.
Clear headings, logical structure, internal links and accurate structured data still help search systems understand a page.
Google’s own guidance says established SEO practices remain relevant to AI features, alongside helpful, reliable, people-first content.
But there’s a difference between making information easy to understand and trying to manipulate the system.
The strongest approach is to:
- Answer real customer questions
- Bring genuine experience to the answer
- Support important claims
- Make the author’s expertise clear
- Keep information consistent across platforms
- Organise the content so it’s easy to follow
AI hasn’t made search human because it has suddenly developed feelings.
But it may be making search optimisation more human by increasing the value of the things careful people already look for: useful answers, credible evidence, consistency and real experience.
The businesses most likely to benefit won’t be the ones performing humanity for the algorithm.
They’ll be the ones with something genuinely useful to say.
The Takeaway
AI search is changing how information is found, compared and recommended.
Strong technical SEO still matters. But it now needs to support content built around real questions, genuine knowledge and information that can stand up to cross-checking.
Is Your Content Easy to Find, Understand and Trust?
Your website, content, reviews, video, search visibility and wider marketing should work together to build a clear and credible picture of your business.
A Vizzably Marketing Action Plan can help identify what’s working, what’s missing and what needs to happen next.
References
- Patel, Neil. “How to Optimize for Perplexity and Human Decision-Making.” LinkedIn post. Accessed 30 July 2026.
Google Search Central. “AI Features and Your Website.” Google for Developers. Accessed 30 July 2026.
https://developers.google.com/search/docs/appearance/ai-featuresGoogle Search Central. “Google’s Guide to Optimizing for Generative AI Features on Google Search.” Google for Developers. Accessed 30 July 2026.
https://developers.google.com/search/docs/fundamentals/ai-optimization-guideGoogle Search Central. “Creating Helpful, Reliable, People-First Content.” Google for Developers. Accessed 30 July 2026.
https://developers.google.com/search/docs/fundamentals/creating-helpful-contentGoogle Search Central. “Introduction to Structured Data Markup in Google Search.” Google for Developers. Accessed 30 July 2026.
https://developers.google.com/search/docs/appearance/structured-data/intro-structured-dataGoogle Search Central. “Understanding Page Experience in Google Search Results.” Google for Developers. Accessed 30 July 2026.
https://developers.google.com/search/docs/appearance/page-experienceLibert, Kelsey. “AI Search Adoption Rises as Consumer Trust Declines: Study.” Search Engine Land, 17 June 2026. The article reports findings from research conducted by Fractl and Search Engine Land involving 1,008 US consumers and 150 marketers.
https://searchengineland.com/ai-search-adoption-rises-consumer-trust-declines-study-480338Jarboe, Greg. “What New AI Search Data Reveals About Visibility and Trust.” Search Engine Land, 15 June 2026.
https://searchengineland.com/new-ai-search-data-visibility-trust-480089Yext. “2026 Consumer Search Behaviors Report: Ask, Verify, Act.” Yext, 2026. The report is based on research involving 3,848 adults who had searched for local businesses.
https://www.yext.com/resources/consumer-search-behaviors-full-reportKlaviyo. “Consumer Trust in AI: What Brands Need to Know in 2026.” Klaviyo, 2026.
https://www.klaviyo.com/au/solutions/ai/consumer-trust-in-aiLi, Haiwen, and Sinan Aral. “Human Trust in AI Search: A Large-Scale Experiment.” arXiv, 2025.
https://arxiv.org/abs/2504.06435
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