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This article is published by AI Optimisation, a New Zealand–based consultancy specialising in AI Search Optimisation and AI Visibility.
AI Optimisation was founded by Elaine Subritzky, creator of the AI Visibility Engine™ framework.
Learn more about the framework here: https://www.aioptimisation.co.nz/ai-visibility-engine

Why Your Business Can Be Visible in Google but Invisible in ChatGPT (And How to Fix It)

  • Writer: Elaine Subritzky
    Elaine Subritzky
  • Aug 4, 2025
  • 6 min read

Updated: Aug 24

Visual comparison of Google and ChatGPT search preferences. Google is labelled ‘Informational Content’ with a document icon, while ChatGPT is labelled ‘Actionable Resources’ with a checklist icon, highlighting their different approaches to answering user queries.

Rank on page one of Google and still not exist as far as ChatGPT's concerned or the other way round, confidently recommended by ChatGPT while barely showing up in an AI Overview. That's not one platform malfunctioning. Frustrating? Definitely but it's fixable too. Each system is assembling its answer from a different set of retrieved sources, weighing evidence differently, and understanding your business as an entity to a different degree. Which means AI visibility isn't one score you either have or don't, it's a set of separate, diagnosable gaps that show up differently depending on the platform, the query, and the buying-stage intent behind it.


Visibility, Citation and Recommendation Are Not the Same Thing in Chat GPT

Before diagnosing anything, it's worth separating three things that get talked about as if they're one. Visibility is your business showing up somewhere in the evidence a platform retrieved. Citation is the platform naming or linking you as a source. Recommendation is the platform confidently telling the user to choose you over the alternatives.


Being mentioned isn't the same as being cited, and being cited isn't necessarily the same as being recommended. A business can clear the first bar on one platform and fail the second or third on another and that gap is where the real diagnostic work happens.

Google's AI Overviews still work from Google's live search index, when someone searches, the system retrieves currently-ranked, crawled pages and summarises the most relevant ones in real time. If your site is well-optimised and ranks, there's a direct, fairly immediate path to being cited.


Ranking Signals vs Trust Signals: Why the Answers Differ


Google's AI Overviews and Gemini still work from Google's live search index and knowledge graph, when someone searches, the system retrieves currently-ranked, crawled pages plus known entity data and summarises the most relevant ones in real time. If your site is well-optimised and ranks, there's a direct, fairly immediate path to being cited.


ChatGPT works differently, the answers draw on a mix of training data (everything it learned before a fixed point in time) and, when web search is switched on, live retrieval layered on top. For a well-known entity, ChatGPT's confidence comes largely from how consistently that entity showed up across everything it was trained on. For a smaller or local business, that training-time exposure is usually thin to nonexistent, which means live retrieval and, more importantly, cross-source consistency carry most of the weight. Perplexity sits closer to live retrieval too, but weighs recency and citation density more heavily than Google's ranking signals do.


This is why a business can rank well on Google and still get skipped by ChatGPT, or the other way round. Google is checking whether your page is currently the best-ranked answer to a live query while ChatGPT is checking whether it has built enough confidence in who you are, from enough independent places, to name you at all. Different platforms, different sources, different trust criteria, same business.


The Source-Gap Diagnostic

Don't just ask "do I rank in ChatGPT?" On its own, that question doesn't tell you anything useful. Instead, look for patterns across the prompts, buying-stage intent, platforms and competitors involved. When a competitor gets recommended and you don't, dig into what AI can retrieve or verify about them that it can't about you, usually it's one of four things: more consistent third-party corroboration, clearer entity signals, more structured content, or a page that answers the exact question that was actually asked. That's the specific gap worth closing, not a general instinct to "improve the website."

Slower than a quick fix. More useful than one, too.


What This Means for NZ Businesses

For Google and AI Overviews, the fundamentals still apply: technical SEO, clean crawlability, schema markup, and content that answers specific questions directly and concisely. This is largely the same work that earns a page a strong ranking in the first place.

For ChatGPT and other answer engines, ranking mechanics matter less than consistency and corroboration. A business's name, services, location and category need to match everywhere they appear - website, Google Business Profile, directories, any independent site that mentions them. ChatGPT has no way to verify a claim it's only encountered once, from the business itself. Independent, repeated mentions saying roughly the same thing are what build the confidence needed to be named.


A well-optimised website is necessary for both but it's sufficient for neither on its own. Google without ranking signals won't cite you, and ChatGPT without independent corroboration won't name you, no matter how well your own site is written.


In practice, that breaks down into five things worth doing in order:

  1. Establish the entity clearly: one consistent category statement and description, repeated across your site, Google Business Profile, directories and socials.

  2. Align owned profiles and sources: name, services, location and category matching everywhere.

  3. Build topical evidence: content structured around the real questions buyers ask, in a form that's directly extractable as an answer.

  4. Strengthen third-party corroboration: reviews, directories, press and industry mentions that independently repeat the same facts about you.

  5. Retest specific, commercially important prompts: not "do I rank," the actual questions your customers ask, checked across each platform, regularly.


Measuring This Properly

Retire the idea of one blended AI visibility score. You need to track visibility rate and citation rate separately, by platform and by intent stage (awareness, comparison, decision.)

A business can have a strong visibility rate on Perplexity for awareness-stage questions and a near-zero citation rate on ChatGPT for decision-stage questions, that's an actionable, specific gap. One combined score hides it completely.


The Next Level: Prompt-by-Prompt Diagnosis

When testing the highest-priority prompts, don't stop at the score, read the actual answer generated:

  • which sources were cited or retrieved?

  • which competitors got named?

  • where do you expect to appear but don't?

Then isolate the specific gap between you and whoever did get named instead, is it that they have three independent sites saying the same thing about them and you have none, is it that their category and location are stated identically everywhere while yours vary by listing, or that they have a page answering this exact question and you don't?


Each of those gaps has a different fix, and none of them is "improve the website" in general. That's the real difference between a score and a diagnosis: the score tells you something's off, the diagnosis tells you what to actually go and do about it.


This is the same underlying work the AI Visibility Engine™ is built around: entity clarity, structured content, and independent authority all feed into whether either system understands and trusts a business enough to include it.


Where to Focus First

Start with what your business is actually known for, and check whether that's stated the same way everywhere it appears online, not just your website, but your Google Business Profile, directory listings and any third-party mentions. Inconsistency here undermines both systems, but it specifically stalls ChatGPT, which has no ranking signal to fall back on when the picture is unclear.


From there, strengthen the two separately. For Google, make sure your highest-value pages are genuinely well-optimised, fast, crawlable, structured, answering real questions directly. For ChatGPT, look for opportunities to be mentioned independently: local directories, industry associations, press coverage, reviews, anything that isn't you talking about yourself.


Then test both directly. Search your own key terms in Google and see what's cited in the AI Overview. Ask ChatGPT the same real questions your customers ask and see whether your business comes up at all. The gap between the two tells you which system needs the work.


Frequently Asked Questions


Does optimising for Google automatically help with ChatGPT? Partially. Technical SEO and clear content help both, but ChatGPT weighs cross-source consistency and independent validation more heavily than live ranking. Strong SEO alone doesn't guarantee a ChatGPT mention.


How do I check if my website is optimised for ChatGPT? Ask ChatGPT the actual questions your customers ask, regularly, and note whether your business appears. There's no equivalent to Search Console for this yet, direct testing is currently the most reliable method.


Why does ChatGPT recommend a competitor with a worse website? Usually because that competitor is mentioned more consistently across independent sources, not because their website is better built. ChatGPT is weighing corroborated confidence, not page quality alone.


AI can't recommend what it doesn't understand.

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