How AI-Generated Answers Are Changing the Way Customers Find Businesses
maniv
For years, being found online meant appearing on the first page of search results. That is starting to change. People increasingly put their questions to ChatGPT, Gemini, Perplexity, Microsoft Copilot, or Google's AI Overviews, read a single generated answer, and act on it without looking through a list of websites.
For businesses, this raises a practical question. When an AI tool summarises the options in a category, is the company part of that summary, and is it described accurately?
From search results to AI answers
Traditional search followed a fairly linear route: a keyword led to a ranking, and a ranking led to a click. In AI search, the sequence looks different. A question leads to a generated answer, and that answer may or may not mention a particular brand.
The difference matters. On a standard results page, people see several links and choose where to go. In an AI-generated answer, the tool may compare the options itself, name a few providers, and describe each one. A person can form an opinion of a company without ever visiting its website, and a business that is missing from the answer, or described inaccurately, may not be considered at all.
Research published in 2026 puts a firmer number on this. In a randomised field experiment with 1,065 desktop Chrome users in the US, researchers from the Indian School of Business and Carnegie Mellon University found that when an AI Overview appeared, clicks to websites fell by 39.8% and searches ending without any click rose by 34.5%. AI Overviews appeared on about 41% of the searches studied. The working paper, first released in April 2026 and last revised in July, points the same way as Ahrefs’ February 2026 analysis of 300,000 keywords, which linked AI Overviews to a 58% lower click-through rate for top-ranking pages.
The shift is also visible in the visits AI tools now send. White Bunnie, a Noida-based digital marketing agency, recorded growth of more than 5,500% in AI referral traffic for its clients during 2025. Growth on that scale usually starts from a small base, so the figure says more about direction than volume, but it shows AI tools becoming a real source of visits and enquiries.
Understanding AEO and GEO
Two terms are now widely used to describe the work involved in being represented in AI answers.
Answer engine optimisation (AEO) focuses on the direct answer. When someone asks a specific question, AEO aims to make a page's content clear and well-structured enough for an AI tool or search feature to use.
Generative engine optimisation (GEO) is the broader discipline. It considers factors that may influence whether AI systems find, trust, and reference a business: how content is written and organised, what independent sources say about the company, and how each platform selects sources. The term was formalised in a 2023 research paper by researchers from institutions including Princeton University and IIT Delhi, later presented at the KDD 2024 conference. In their tests, adding statistics, quotations and cited sources raised visibility in generative engine responses by up to 40%, with results varying by subject area.
None of this replaces traditional search engine optimisation (SEO). GEO builds on the same foundations: a technically sound website, useful content and earned authority. Google's own guidance on AI features says there are no additional requirements to appear in AI Overviews or AI Mode beyond its standard SEO best practices. GEO is better understood as an added layer of attention that grows in importance as more research happens inside AI tools.
Why it matters for businesses in India
The shift is most noticeable in sectors where people research carefully before deciding. Patients compare clinics and doctors before booking an appointment. Software buyers shortlist vendors long before they speak to a sales team. Students, parents and home buyers increasingly use AI-generated summaries to weigh their options.
India is a large part of this change. OpenAI chief executive Sam Altman said in February 2026 that ChatGPT had 100 million weekly active users in India, making the country one of its largest markets.
Even so, many Indian businesses still judge their online presence mainly by Google rankings, and relatively few have checked how they appear in AI-generated answers. Those that start early may find it easier to establish accurate, consistent information than to correct gaps once competitors are already being cited.
What businesses can work on
Whether the work is handled in-house or through an AI SEO agency, it generally falls into four stages:
- Audit: Check how the business currently appears, or does not appear, in the AI tools its customers use, and whether those descriptions are accurate and up to date. A structured GEO audit checklist keeps this review consistent, from crawler access to how AI referrals are tracked.
- Improve the website: Fix the content, structure, and technical gaps that stop a site from being a reliable source. This includes answer-first content, crawlable key pages, structured data that matches what is visible on the page, and consistent business details across the site and profiles.
- Build independent authority: AI tools tend to draw on what others say about a business, so customer reviews, third-party mentions, and citations from respected publications carry weight. Correcting outdated facts on directories and profiles at their source is a large part of shaping what AI says about a brand.
- Track and adjust: Platforms change how they select and present sources, so a business's presence in AI answers needs regular checks, with the approach updated as results change.
Platform differences matter too. ChatGPT, Perplexity, Gemini, Copilot and DeepSeek each source and present answers in their own way, so a single generic approach is unlikely to work equally well across all of them.
What can and cannot be promised
No one can guarantee that a business will be cited in an AI-generated answer. The platforms have not published exactly how they choose sources, results vary with the wording of each query, and their behaviour keeps changing. Even Google notes that meeting every requirement does not guarantee a page will be crawled, indexed, or shown.
What a business can control is the groundwork: accurate information, useful content, a website that crawlers can access, and a solid reputation elsewhere on the web. Claims of guaranteed placement in AI answers should be treated with caution, and progress is best judged through transparent, regular reporting.
Measuring visibility in AI answers
Traditional SEO reporting centres on rankings and clicks. In AI search, a wider set of questions gives a better picture:
- Does the business appear when customers ask the questions that matter most to it?
- Is it described accurately, with current services, locations, and pricing?
- Which sources do AI tools rely on when they mention it, and are those sources reliable?
- Do visits and enquiries that come from AI tools turn into qualified leads?
Some of this is now easier to track. Google Search Console has added a Generative AI performance report for AI features in Search, and analytics tools can group visits from chatgpt.com, perplexity.ai and gemini.google.com into their own channel. White Bunnie's monthly client reports, for example, now track AI citation growth alongside rankings, traffic and leads.
Because answers differ between platforms and change over time, these checks are most useful when repeated regularly rather than run once.
The outlook beyond the results page
AI-generated answers are likely to become a standard part of how people research products, services and providers. Traditional search will remain important, but it is no longer the only place where first impressions are formed.
The businesses best placed for this shift are not necessarily the ones publishing the most. They are the ones whose information is accurate, whose content answers real customer questions, and whose reputation is supported by credible sources, whichever tool a customer chooses to ask.
