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August 11, 20268 min read
Have you ever noticed how a competitor keeps popping up inside ChatGPT's answers while your site, the one that outranks them on Google, gets nothing?
That gap is not an exception anymore.
The web pages at position one on Google carry a 58% chance of being cited in AI Overviews. Drop to position ten, and that number falls to 14%. A strong ranking still counts for something. It just doesn't buy a mention the way it used to.
Generative Engine Optimisation, or GEO for short, is about shaping a website so tools like ChatGPT, Perplexity, and Google AI Overviews cite it when someone asks a question. It's not a replacement for SEO. Think of it as a second test stacked on top of the first: will an AI model trust this page enough to point to it.
Here are seven ways to achieve that outcome, starting with the words on the page and working down to the plumbing underneath them.
AI models latch onto pages that answer a question right away. Pages that wind up to the point through paragraphs of throat-clearing get skipped.
For example, a heading asking "What is X?" needs an answer in the next sentence. No warm-up. Bury that answer under scene-setting, and visibility drops, since AI tools consistently reward content that respects readers’ time.
Most websites still lead with history or broad context before reaching what a visitor came for in the first place. It's worth breaking that habit.
Rewrite even a handful of key pages so they answer first and explain second, and it can shift how often they surface inside AI-generated responses. It's one of the cheaper wins here too, since nothing new needs writing, just reordering.
Schema markup gives AI systems a labeled and clean way to read a page instead of guessing at its structure from raw text. Skip it and the AI has to interpret meaning on its own. Those guesses often miss the mark, sometimes badly enough to misrepresent what the page is even about.
FAQPage schema has shown a real citation lift in recent research specifically, since it lines up directly with how AI tools pull question-and-answer content off a page.
Different content types call for different formatting, and getting that match right matters a lot.
Content Type | Best Format for AI Citation |
How-to guides | Numbered steps with a clear outcome stated upfront |
Comparisons | Tables with labeled columns |
Definitions | One-sentence answer, then supporting detail |
FAQs | FAQPage schema markup |
None of this calls for a full rebuild. Most content management systems support schema plugins or manual markup on individual pages already. A site can start small, test it on a handful of pages, and expand once citation tracking or referral data backs it up.
AI tools form an opinion of a website from what other sources say about it. Reviews, forums, press coverage, not only what's published on the site itself.
A strong backlink profile alone won't get an AI model to trust a source enough to cite it. It is a real departure from how SEO used to work back when links carried most of the weight on their own.
Digital PR still matters, maybe more than it ever did. Earned coverage builds the kind of third-party validation AI tools lean on heavily when they're weighing whether to trust a source.
Reviews and community mentions count too. A brand discussed well on forums and review sites tends to surface more inside AI-generated answers. No link back to the site required.
Consistency across mentions carries more weight. Keep a brand's name, description, and core facts the same everywhere. This will help AI tools build a consistent picture everywhere. AI tools will be clear on what your brand is, what it does, and then figure out whom to show it to.
Google Search Console has a blind spot. It won't tell you whether ChatGPT or Perplexity cited a page anywhere in an answer.
Many teams are reaching for tools built specifically to close that gap, instead of guessing at AI visibility through proxies like organic traffic, which were never built to capture it in the first place.
A dedicated GEO platform tracks brand visibility, citation sources, and sentiment across ChatGPT, Perplexity, Gemini, and other major AI engines in a single dashboard. Similarweb’s GEO toolkit is one example. It pulls citation, sentiment, and AI referral traffic data into one place. It also surfaces the exact prompts driving each conversation. With that, a team can see which questions AI answers with their brand added in the answer.
AI visibility stops being a guessing game at that point. It becomes something a team can plan around on purpose, instead of reacting once traffic has already dropped.
If you skip that tracking, you will end up optimising in the dark. Changes get made, fingers get crossed, and there's no way to know whether citations moved or which change gets the credit for it.
A team watching real data moves faster, drops the tactics that never worked, and knows which pages deserve the investment first, instead of spreading effort thin across everything at once.
Here's a pattern from somewhere entirely outside SEO that lines up anyway. Traditional employee feedback tools built on generic rating scales and anonymous text boxes routinely miss what people think, no matter how many boxes they check.
Generic keyword-stuffed website content does the same thing to readers, dressing up emptiness as structure. Both systems chase a measurable stand-in over the real signal underneath, and both wear down the trust they were meant to build.
Readers pick up on that gap fast, and AI models are catching up to the same instinct. Sites that put real substance into their pages right now are building something rivals will struggle to fake later on, and that difference compounds the longer it's left to grow.
Stale pages lose out. AI models lean toward content that reflects what's current over pages nobody's touched in years. For instance, a page with outdated numbers, broken examples, or advice that's aged badly gets skipped in favor of a competitor's newer version.
Freshness doesn't mean pumping out new posts on a fixed schedule for its own sake. It means going back to pages that already carry weight and asking whether they still hold up.
Take a three-year-old statistic left sitting untouched. It can drag down an otherwise solid page for months before anyone notices traffic or citations sliding.
Not every page pulls equal weight, so start where it counts. Pages that already rank decently but haven't been touched in a while tend to have the most to gain from even a light pass.
The logic isn't far off from renewing a professional licence before it lapses. Waiting until something's already expired costs a lot more than keeping it current in the first place.
Action tip: Set a recurring quarterly review of your highest-traffic pages. Update stats, examples, and outdated claims before they cost you citations.
Even the best content can fall short if your site is slow, broken, or difficult for AI systems to crawl. AI systems, like search engines before them, need to reach and parse a page before they'll even weigh citing it, and technical debt undercuts everything built on top of it.
It works a bit like occupational health and safety on a job site. The visible work holds up only if the groundwork underneath it was done properly first.
Fix load times first. A slow page delays both crawling and the reading time that keeps a visitor around long enough to matter.
Clean up redirect chains. Excess redirects burn crawl budgets and confuse how AI tools trace a page's real URL, sometimes to the extent that a page gets skipped altogether.
Minify code that's weighing things down. Bloated CSS and JavaScript slow rendering for bots and real visitors alike, and the fix is usually more straightforward than you think.
Check mobile rendering on its own terms. Most indexing runs off the mobile version of a page, so a site that looks polished on desktop can still fall short right where it counts. That kind of gap goes unnoticed until it is too late.
These seven changes rarely work in isolation. Treating them like a checklist to run through once and file away is one of the most common mistakes a site owner makes.
Answer-first content doesn't carry far without the technical groundwork behind it. Earned authority doesn't count for much if nobody's tracking whether it's turning into citations at all.
GEO works best as one coordinated push across content, structure, authority, and infrastructure, not a single tactic bolted on and left there.
Sites treating these seven areas as connected tend to see the steadiest gains in AI visibility over the long run. They're also the ones still turning up in AI-generated answers a year from now, often with support from an ecommerce PPC agency that understands how paid search and broader visibility work together. The sites that stall usually made one change, saw a small bump, and stopped without following through on the rest.
GEO tends to reward whoever keeps adjusting as the tools keep changing, and that persistence is the real gap between early movers and everyone still trying to catch up.
If your team is ready to put these seven changes into practice, get in touch with Hurak. Explore how the right foundation, on and off page, can help your site show up where AI search is already sending people.
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