Last updated: 7 October 2026

How to Get ChatGPT to Recommend Your Product: A UK Business Diagnostic

ChatGPT recommends products by pulling from earned media, structured data and brand mentions it has indexed — not from paid placement. Earned media (independent reviews, forums, press) accounts for 84% of AI citations, according to Muck Rack (2026), meaning UK businesses win visibility through reputation signals scattered across the web, not through their own website copy alone.

Key Takeaways

• ChatGPT typically surfaces three to seven product recommendations per query, per Marketing Mag Australia (2026), meaning UK brands compete in a small, fluid shortlist rather than a ranked list of ten or more.
• Only 11% of ChatGPT citations link back to the brand's own website, with 96% sourced from earned media instead, according to the Ahrefs 75K Brand Study (2026).
• Branded web mentions correlate roughly three times more strongly with AI visibility than backlinks do — 0.664 versus 0.218 — based on an Ahrefs study of 75,000 brands reported by authoritytech.io (2026).
• 47% of brands still have no deliberate GEO strategy, according to Dataslayer (2026), leaving a clear first-mover gap for businesses that build one.
• OpenAI reports 700 million weekly ChatGPT users, including for product discovery tasks, per AI Magazine (2026) — a scale UK businesses can no longer treat as niche.

How Does ChatGPT Actually Decide Which Products to Recommend?

ChatGPT decides which products to mention by weighing signals from earned media, structured web content and prior training data, then generating a short, synthesised answer rather than a ranked directory listing. This means the model behaves less like Google's ten blue links and more like a well-read colleague summarising what they've picked up from reviews, forums and news coverage.

Omniscient's analysis of how large language models source brand information found that earned media accounts for 48% of citations while owned brand content accounts for only 23%, according to beomniscient.com (2026). That's a fundamentally different weighting to classic SEO, where a well-optimised product page could rank on its own merits.

The competitive set is also smaller than most UK marketers assume. ChatGPT typically surfaces three to seven product recommendations per query, per Marketing Mag Australia (2026) — meaning a business in, say, Manchester's fintech scene or London's facilities management sector isn't fighting for position four on a page of ten; it's fighting to be one of perhaps five names mentioned at all.

Zero-click behaviour compounds the stakes. AI-driven searches show approximately 93% zero-click behaviour, compared to about 34% for traditional search, according to ZS Insights (2026). If ChatGPT doesn't name your product in its answer, the user very likely never visits your website to discover you exist.

OpenAI has also been restructuring how ChatGPT handles commerce directly. The company noted that "under the hood, we've improved speed, relevance and product coverage — so results are more up-to-date and more useful" (OpenAI, company blog post), signalling that merchant feeds and structured product data increasingly feed directly into what the assistant surfaces.

What Is Generative Engine Optimisation and How Does It Differ from SEO?

Generative Engine Optimisation (GEO) is the practice of structuring content, earned mentions and technical signals so that AI systems like ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini and Microsoft Copilot cite and recommend a brand within their generated answers. It differs from traditional SEO in what it optimises for: SEO chases rankings on a results page; GEO chases inclusion inside a synthesised sentence.

The mechanics diverge sharply. Traditional SEO rewards backlinks, on-page keyword targeting and domain authority built up over years. GEO rewards being talked about — on Reddit threads, in trade press, on comparison sites, in Trustpilot reviews — because that's where the models draw their citations from.

The data backs this up starkly. Branded web mentions correlate 0.664 with AI Overview visibility versus just 0.218 for backlinks — roughly three times stronger — and brands in the top quartile for web mentions received about ten times more AI Overview mentions than the next quartile, according to the Ahrefs analysis via authoritytech.io (2026). A backlink from a high-authority domain still matters for Google; it barely moves the needle for ChatGPT compared to simply being mentioned by name across the web.

Despite the scale of this shift, adoption is patchy. 47% of brands still lack a deliberate GEO strategy, per Dataslayer (2026) — which means roughly half the market is still optimising exclusively for Google while ChatGPT, Perplexity and Gemini quietly reshape how customers discover products. Aether AI was built specifically to close that gap: the platform tracks citations across six AI engines simultaneously, rather than treating GEO as a bolt-on to an existing SEO programme.

SEO vs GEO at a glance

What On-Site Content Changes Increase the Chance ChatGPT Recommends Your Product?

On-site content changes can improve ChatGPT's ability to find and correctly describe your product, but they carry less weight than off-site reputation. Aether AI's own analysis is consistent with the wider industry finding: owned content still matters, just less than most marketing teams assume.

Practical steps worth prioritising:

• Publish clear, structured comparison and use-case pages — content that answers "best X for Y" style questions in plain language, since this is the format ChatGPT most readily paraphrases.
• Add schema markup (Product, Organization, FAQPage schema) so crawlers like OpenAI's OAI-SearchBot can parse product attributes, pricing and availability without ambiguity.
• Check robots.txt doesn't block AI crawlers — a surprisingly common and entirely avoidable error that silently removes a brand from consideration.
• Write a genuine definition of your product category early in key pages, since content that defines its subject in an opening sentence is cited roughly twice as often in the wider GEO research base.
• Keep facts internally consistent across your site, your Companies House filings, your G2 or Trustpilot profile and any press coverage — contradictions between sources reduce a model's confidence in citing you.

Owned content accounts for only 23% of the citations LLMs draw on when sourcing brand information, according to beomniscient.com (2026). That's not a reason to neglect your website — it's a reason to treat it as one input among several, with earned media doing most of the heavy lifting.

How Important Are Reviews, Reddit and Comparison Sites to ChatGPT's Recommendations?

Third-party reviews, Reddit threads and independent comparison sites are the single most influential input into what ChatGPT recommends — considerably more influential than a brand's own website. This is the clearest and most consistent finding across the available research.

Only 11% of ChatGPT citations link back to the brand being discussed itself, with 96% of citations coming from earned media rather than brand-owned domains, according to the Ahrefs 75K Brand Study (2026). Separately, Muck Rack's 2026 analysis puts the figure at 84% of AI citations coming from earned rather than owned media — different methodology, same conclusion: what other people say about you online matters more than what you say about yourself.

For UK businesses, this means:

• A well-earned mention in a Trustpilot review cluster, a Which? comparison, or a niche trade forum thread can do more for ChatGPT visibility than a rewritten homepage.
• Reddit threads — particularly on subreddits covering UK-specific topics like r/UKPersonalFinance or industry-specific communities — are frequently surfaced by AI models as a "real user opinion" signal.
• Comparison and "best of" sites (G2, Capterra, TrustRadius for B2B software; independent review blogs for consumer goods) function as aggregators that models lean on heavily, because they already summarise a competitive landscape in the format AI answers want to reproduce.
• PR coverage in recognised UK trade press carries disproportionate weight, since journalism is treated as a higher-trust source than user-generated content in most models' internal weighting.

The practical implication is uncomfortable for marketing teams used to controlling their own narrative: you cannot simply write your way into a ChatGPT recommendation. You have to earn mentions across a web you don't control, which is why citation tracking — knowing where you're already mentioned, and where competitors are mentioned instead — has become a discipline in its own right.

Does Ranking Well on Google Actually Help ChatGPT Visibility?

Strong Google rankings and backlinks provide a modest, indirect benefit to ChatGPT visibility, but they are far weaker predictors than brand mentions. This is one of the more counter-intuitive findings for SEO teams moving into GEO.

The Ahrefs study of 75,000 brands found backlinks correlate with AI Overview visibility at just 0.218, compared to 0.664 for branded web mentions — a gap described as roughly threefold, according to authoritytech.io's analysis (2026). In practical terms: a page ranking first on Google for a commercial term is not guaranteed to be the page ChatGPT quotes, because the model isn't running a live Google search in the same way — it's drawing on a broader mix of training data, earned mentions and (where connected) live retrieval.

There's a caveat worth naming plainly. Backlinks and rankings still correlate with something — they're not worthless, and a well-optimised, high-authority domain is more likely to be crawled, indexed and occasionally cited than an obscure one. But treating Google rank as a proxy for ChatGPT visibility is a mistake several UK businesses are still making, largely because it's the metric their existing SEO tools already report.

This is precisely the diagnostic gap Aether AI's platform is built to close: rather than assuming Google Search Console data tells the whole story, Aether AI integrates GSC data alongside direct citation tracking across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini and Copilot — so a business can see, side by side, whether its Google authority is actually converting into AI mentions or not.

How Can You Check Whether ChatGPT Currently Recommends Your Product?

You can check ChatGPT's current recommendations by running realistic buyer queries directly in the tool and logging whether your brand appears, in what position, and alongside which competitors. This manual method works for a spot-check but doesn't scale, and it can't be repeated consistently across the five other major AI engines a serious GEO strategy needs to monitor.

A basic manual audit process:

1. List 10-15 realistic queries a UK buyer would type — e.g. "best facilities management software for a mid-sized office in Leeds" — rather than your own brand name.
2. Run each query in ChatGPT, Perplexity and Google AI Overviews separately, since each engine draws on different sources and weightings.
3. Record whether your brand appears, its position among the typical three-to-seven results, and which sources the engine cites.
4. Repeat weekly, since model outputs can shift with updates and aren't static like a Google rank.
5. Track named competitors in the same queries to see the shape of the competitive set you're actually up against.

For anything beyond a one-off check, automated tracking is the practical route. Aether AI's platform runs this exact audit continuously across six AI engines, with keyword and competitor tracking built in, and offers a free AI-visibility audit at /audit for businesses wanting a baseline reading before committing to an ongoing programme.

How Long Does It Take to See a Change in ChatGPT's Recommendations?

There is no fixed timeline in the available research, and any specific week-by-week figure would be invented rather than sourced — so the honest answer is that GEO works on a fundamentally different clock to paid search, and slower than most SEO change too. Paid search shows results within hours; SEO typically takes weeks to months; GEO depends on when a model's training data or live retrieval sources are refreshed, which a business does not control directly.

What does change the timeline in practice:

• Earned media takes longer to accumulate than owned content changes, since it depends on third parties — journalists, reviewers, forum users — choosing to mention you, not on your own publishing schedule.
• Models with live retrieval (ChatGPT with browsing, Perplexity, Google AI Overviews) can reflect new mentions faster than models relying purely on static training data.
• Consistency compounds: a single mention rarely shifts a citation pattern, but a sustained pattern of mentions across review sites, forums and press over several months builds the "web mention density" that Ahrefs' research ties most strongly to visibility.

Given this, businesses should treat GEO as a continuous discipline rather than a campaign with a fixed end date — closer to ongoing PR and reputation management than to a one-off SEO audit.

What Mistakes Do UK Businesses Commonly Make Here?

The most common mistake is applying pure SEO logic to GEO — chasing backlinks and homepage rewrites while ignoring the earned-media mentions that actually drive citations. Given that backlinks correlate at only 0.218 with AI visibility versus 0.664 for brand mentions, per authoritytech.io (2026), a team that spends its budget solely on link-building is optimising for the wrong signal.

Other recurring errors:

• Ignoring AI crawler access entirely — never checking whether robots.txt or a firewall is silently blocking OpenAI's or Google's AI crawlers from indexing product pages.
• Treating a single ChatGPT query as proof of a trend, when model outputs vary and a proper audit needs repeated, structured testing across multiple queries and engines.
• Attempting to game the system with prompt-injection tactics — hidden text instructing AI models to recommend a product — which carries real reputational and potentially regulatory risk if discovered, beyond simply not working reliably.
• Focusing only on ChatGPT and ignoring Perplexity, Google AI Overviews, Claude, Gemini and Copilot, each of which weighs sources differently and reaches a distinct audience segment.
• No ownership within the business — GEO falls between marketing, SEO and PR remits, and in 47% of brands lacking a deliberate strategy (Dataslayer, 2026), the most common root cause is simply that nobody has been given the mandate to own it.

Who Should Be Responsible for AI Visibility Inside a UK Business?

Responsibility for ChatGPT and AI visibility typically sits best with whoever already owns brand reputation and earned media — usually a senior marketing or PR lead, working closely with SEO. Because earned media drives up to 84% of citations, per Muck Rack (2026), GEO is closer to reputation management than to technical SEO, even though it needs SEO's measurement discipline.

A workable split for most UK organisations:

• Marketing/PR owns the earned-media strategy — securing trade press coverage, managing review platform presence, engaging authentically in relevant forums.
• SEO/content teams own the technical and on-site layer — schema markup, crawler access, structured comparison content.
• A single accountable owner (often a Head of Marketing or Digital Director) tracks citation performance across engines monthly and reports it alongside existing SEO and paid metrics.

This is exactly the gap Aether AI's self-service platform is designed to close for teams without a dedicated GEO specialist: automated AI-optimised article generation paired with citation tracking removes the need to manually run the audit process described earlier, and gives a single dashboard that marketing, SEO and PR can all reference.

Your ChatGPT product recommendation checklist

• Confirm your robots.txt file does not block OAI-SearchBot or other AI crawlers.
• Add Product, Organization and FAQPage schema markup to key product and comparison pages.
• Audit your presence on Trustpilot, G2 or relevant UK comparison sites and address any gaps or unanswered negative reviews.
• Run 10-15 realistic buyer queries through ChatGPT, Perplexity and Google AI Overviews and log the results.
• Identify three UK trade publications or forums relevant to your sector and pursue earned coverage in each.
• Track competitor mentions in the same queries to understand the real shape of your AI competitive set.
• Assign a single internal owner for AI visibility reporting on a monthly cycle.
• Request a free AI-visibility audit at /audit to benchmark your current citation position before investing further.

FAQ

How do I get my product recommended in ChatGPT?

Focus on earning genuine mentions across reviews, forums and trade press rather than only editing your own website, since earned media drives up to 84% of AI citations according to Muck Rack (2026). Pair this with clean schema markup and confirmed AI crawler access so ChatGPT can accurately parse your product details.

Does ChatGPT use schema markup to find products?

Yes, structured data such as Product and Organization schema helps AI crawlers like OpenAI's OAI-SearchBot understand product attributes, pricing and availability more reliably than unstructured page text. It won't override the stronger influence of earned media, but it removes friction that could otherwise exclude you.

Do reviews on sites like Trustpilot or G2 affect ChatGPT recommendations?

Yes, review and comparison platforms are among the strongest influences on AI recommendations, since only 11% of ChatGPT citations link to a brand's own site while 96% draw on earned media including review platforms, per the Ahrefs 75K Brand Study (2026).

How is Generative Engine Optimisation different from SEO?

GEO is the practice of earning citations inside AI-generated answers, whereas SEO optimises for ranking position on a search results page. GEO weighs earned media and brand mentions far more heavily than backlinks, with a roughly threefold difference in correlation strength according to Ahrefs data via authoritytech.io (2026).

Can a small UK business get recommended by ChatGPT without a large budget?

Yes, because the strongest signal — earned media mentions — is achievable through consistent PR effort, genuine customer engagement on review platforms and forum participation rather than paid media spend alone. A small business with strong, authentic word-of-mouth can outperform a larger competitor that only invests in backlinks.

Why does ChatGPT recommend competitors instead of my product?

This usually happens because competitors have a stronger footprint of earned mentions across reviews, forums and press, since branded web mentions correlate roughly three times more strongly with AI visibility than backlinks do, per authoritytech.io (2026). Running a structured audit across multiple queries will usually reveal the specific sources the model is citing for your competitors instead of you.

How often should I check my ChatGPT visibility?

A weekly or monthly check is a reasonable minimum, since AI model outputs can shift with updates in a way that a static Google ranking does not. Automated tracking removes the manual burden of repeating this across six engines by hand.

Diagnosing and fixing your ChatGPT visibility with Aether AI

The problem this article describes — knowing whether ChatGPT mentions your product at all, and why it might be citing competitors instead — is precisely the diagnostic gap Aether AI's platform was built to close. Rather than guessing from occasional manual queries, Aether AI runs continuous citation tracking across six AI engines: ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini and Copilot, alongside keyword and competitor tracking and Google Search Console integration.

Aether AI's own operational data offers a useful proof point on scale: across the four brands it currently writes and publishes for — spanning security, facilities software, branding and the platform itself — Aether AI published 281 articles in the 30 days to September 2026, consistent with the wider finding that structured, frequent content publication supports the earned-mention density that Ahrefs' research ties to AI visibility.

If your business doesn't yet know where it stands, the sensible first step is diagnosis, not investment. Aether AI offers a free AI-visibility audit at /audit to benchmark your current ChatGPT citation position before you commit budget to a full GEO programme — book one to see exactly where your product stands against named competitors today.

Related Reading

• ChatGPT Brand Monitoring Tool: UK Guide 2026
• How to Appear in Google AI Overviews (2026 Guide)
• How to Measure GEO Performance: 2026 UK Guide