ChatGPT is moving closer to the buying decision
Businesses have traditionally competed for attention through search engines, marketplaces, review platforms and social media. Those channels still matter, but another layer is becoming part of the customer journey.
Consumers can now ask ChatGPT to identify suitable products, compare options, find local providers and explain which choice best fits their needs. Instead of opening several tabs, a user can describe their situation in one detailed prompt and receive a condensed recommendation.
That matters because ChatGPT is not simply retrieving a page. It is interpreting the request, comparing available information and presenting an answer that may shape the user’s shortlist.
A business can therefore rank well on Google and still be absent from the AI-generated response a potential customer sees first. The question is no longer only whether a company can be found. It is whether an AI system understands the company well enough to include, compare and recommend it.
The June 2026 update places greater emphasis on decisions
On 24 June 2026, OpenAI announced an update to GPT-5.5 Instant, the model used most frequently in ChatGPT. OpenAI said it was designed to improve conversational quality, particularly when users are making decisions, asking for advice, planning, researching options or shopping.
That wording matters for brands. It shows that recommendation-led interactions are becoming a central part of the ChatGPT experience.
A prompt such as “What is the best accounting software for a small UK agency?” contains more context than a traditional keyword search. The user may then add their budget, team size, preferred integrations and support requirements. ChatGPT can refine its answer as the conversation develops.
The same applies to local services. A user might ask for a mortgage broker, solicitor, restaurant or cyber security consultancy, then narrow the request by location, specialism, price or reputation.
The businesses selected can gain consideration before the user visits a website. Those omitted may never enter the comparison.
Product discovery is becoming conversational
OpenAI has continued to expand shopping and product discovery within ChatGPT. Users can describe what they need, compare trade-offs and receive recommendations shaped around their preferences, constraints and budget. This differs from a conventional list of links. A person can refine the request, reject unsuitable options and ask ChatGPT to compare the remaining choices.
In that environment, generic product descriptions become less useful. ChatGPT needs clear, current and structured information that helps it distinguish one option from another.
OpenAI also allows merchants to share product feeds so ChatGPT can access more accurate information about products, prices and availability. Its guidance indicates that merchant selection may consider availability, price, quality and whether the merchant is the maker or primary seller.
A retailer may have excellent products, but incomplete or inconsistent catalogue data can make them harder to assess inside AI-assisted discovery. Accurate stock information, descriptive attributes, clear pricing, consistent identifiers and credible supporting information are therefore becoming more valuable.
Local recommendations depend on context
ChatGPT Search can use a user’s general or device location, where permission is available, to provide more relevant local results.
Location alone does not determine the answer. “Best restaurant near me” could mean the highest-rated option, the closest venue or somewhere suitable for children. “Best financial adviser in Leeds” could refer to retirement planning, investment management or business finance.
The system must interpret those distinctions and identify businesses that appear suitable. Broad claims such as “we provide excellent service” offer little help. Specific and verifiable information is more useful.
A local business should make its service area, audience, specialisms, credentials, opening information and distinguishing features easy to identify. Reviews and independent references can add context, while consistent information across the website, directories and third-party sources reduces ambiguity.
The goal is not to force keywords into every page. It is to remove uncertainty about what the business does, who it serves and why it may be a credible choice.
AI recommendations are not fixed rankings
Businesses should not treat ChatGPT as another search engine with a fixed first page. Recommendations can change depending on the prompt, user context, available sources and how the request is interpreted.
A company may appear for one question but disappear when the user adds another requirement. A retailer visible for “best affordable office chairs” may not appear when the request becomes more specific. A general law firm may rank for a local query but lose out when the user requests a specialist.
This is why checking one prompt provides an incomplete picture.
Businesses need to understand the questions customers are likely to ask, which competitors appear and why certain companies are repeatedly selected. The objective is to measure recommendation visibility across commercially meaningful prompts, not merely confirm that the AI knows the company exists.
What ChatGPT needs to understand about a brand
A brand must first be identifiable as a clear entity. Its website and wider digital presence should communicate a consistent name, offer, location, audience and area of expertise.
It must also be differentiable. If several competitors make nearly identical claims, an AI system has little reliable information with which to explain why one is more suitable. Detailed service pages, clear product attributes, case studies and evidence of relevant experience help create distinction.
Credibility matters too. Qualifications, regulatory status, recognised memberships, verified reviews, awards, media coverage and reputable third-party references can help establish whether claims are supported elsewhere. The information must remain current. Outdated pricing, conflicting addresses, discontinued products and inconsistent service descriptions can weaken confidence.
None of these factors guarantees a recommendation. ChatGPT’s exact selection processes are not fully public and outputs can vary. However, improving clarity, consistency, relevance and supporting evidence makes a business easier for both people and AI systems to evaluate.
SEO remains important, but it is not the whole strategy
AI visibility does not replace SEO. Search engines, websites and authoritative online sources remain essential parts of the information environment generative systems can use.
SEO traditionally focuses on rankings, impressions, traffic and search conversions. AI visibility examines whether a company is mentioned, accurately represented, cited, compared and recommended within generated answers.
A page can perform well in conventional search without producing strong AI recommendation visibility. A business may also be mentioned because reputable third-party sources describe it clearly, even when its website is not the top organic result.
The strongest approach connects technical accessibility, authoritative content, structured information, third-party trust and prompt-level monitoring.
How businesses should respond
The first step is to identify decision-stage prompts that reflect how real customers describe their needs, including locations, use cases, constraints and comparison questions.
The next is to test how the brand appears across multiple AI systems and prompt variations. Businesses should record which competitors are recommended, which sources are cited and whether information about their own organisation is accurate.
Content and technical improvements can then be prioritised around genuine gaps. A missing comparison page, unclear service definition, weak location information or lack of external validation may matter more than another general blog post.
Product businesses should assess the quality and consistency of their catalogue data. Service businesses should examine whether their expertise, proof and suitability for particular customer needs are clear enough to support a recommendation.
Progress should be monitored because models, sources and recommendation experiences continue to change.
The brands AI can understand are more likely to enter the shortlist
ChatGPT is becoming part of how consumers research purchases, evaluate providers and narrow local choices. The latest updates reinforce that movement towards decision support, shopping and personalised recommendations.
The risk is that a strong company can remain invisible because its information is unclear, fragmented or unsupported. The opportunity is to build a digital presence that makes the organisation easier to interpret, verify and recommend.
The next competitive question will not simply be, “Where do we rank?” It will be, “When our ideal customer asks AI what to choose, are we part of the answer?”
AwarenessAI helps organisations measure and improve how platforms such as ChatGPT, Gemini, Perplexity and Claude understand, represent and recommend their brand. Through AI visibility audits, implementation and ongoing monitoring, businesses can identify where they are missing from important prompts and take practical steps to improve their position.