Short answer: Google AI Overviews are AI-generated answer summaries that appear at the top of many search results pages, above the traditional blue links. They synthesise information from multiple sources and cite a small number of pages. For businesses that rely on organic search traffic, the impact is real and the direction is clear: queries with a strong informational intent increasingly produce fewer clicks to source pages. The response is not to fight the format — it is to become one of the pages AI Overviews cite.
What Google AI Overviews Are and How They Work
AI Overviews (formerly called SGE, Search Generative Experience) launched broadly in the United States in 2024 and have been rolling out across markets including India since then. They use Google's Gemini models to generate a synthesised answer at the top of the SERP for queries where Google judges that an AI-generated response adds value.
The generation process works roughly like retrieval-augmented generation: Google retrieves a set of candidate pages, feeds them to the model, and generates a response with inline citations. The citations shown in the Overview typically number between three and eight sources. Those sources tend to share a set of characteristics — they are authoritative, well-structured, and answer the specific question asked in a direct, self-contained way.
Critically, the pages cited in AI Overviews are not always the pages ranking first in the traditional blue-link results. An AI Overview can surface a page from position eight if that page answers the synthesised question more cleanly than the pages above it. This is a meaningful structural shift: ranking position and AI Overview citation are related but not the same thing.
This post goes deeper than the overview in How to Get Your Business Found in ChatGPT and AI Search. Here we look specifically at the traffic dynamics, what types of content get cited, and the concrete steps to take.
The Traffic Impact: Direction and Mechanism
It would be misleading to state a specific percentage traffic decline — the effect varies enormously by query type, industry, market, and how well a given site is optimised. What is well-established is the mechanism and direction:
Informational queries — "how does X work", "what is Y", "steps to do Z" — are most affected. When Google can synthesise a complete answer from the top results, many users do not need to click through. This is not new behaviour; featured snippets had the same effect for simple queries. AI Overviews extend that pattern to more complex, multi-step questions.
Transactional and navigational queries — "buy X in Bengaluru", "NexaEx contact", "best ERP software India pricing" — are much less affected because the answer requires clicking. Someone who wants to book a service, compare prices, or visit a specific site will click through regardless of what the AI Overview says.
Brand and comparison queries — "NexaEx vs. competitor", "reviews of software agency India" — produce mixed results. AI Overviews may surface a summary, but users doing evaluation research click through at higher rates to verify.
For Indian B2B businesses selling professional services, the honest assessment is: if your site traffic was driven primarily by informational blog posts targeting how-to queries, you are likely seeing some decline. If your traffic came from branded search, comparison queries, or transactional intent, the impact is smaller.
What Makes a Page Get Cited in AI Overviews?
Based on patterns observed across multiple verticals, cited pages tend to share several characteristics:
| Characteristic | Why it matters for citation |
|---|---|
| Direct answer at the top | AI Overview generation favours pages that state the answer immediately — not three paragraphs in |
| Self-contained paragraphs | Each paragraph should be understandable without reading the one before it |
| Specific, accurate facts | Vague generalisations are less likely to be extracted; concrete specifics get quoted |
| Schema markup (FAQPage, Article) | Structured data helps Google identify Q&A pairs for extraction |
| Authoritative source signals | Backlinks, brand mentions, entity recognition in the knowledge graph |
| Freshness | For time-sensitive topics, recent publication or update dates matter |
| Page speed and crawlability | Pages that are slow to load or partially blocked are less reliably indexed |
The implication: optimising for AI Overview citation is almost identical to optimising for featured snippets, but at higher quality. The content standard is stricter because the model is now synthesising across multiple sources and will favour the source that makes its claim most clearly.
The Answer-First Writing Pattern
The single most actionable change is structural. Rewrite your key pages to lead with the answer rather than building to it.
Before (traditional article structure):
"Schema markup has become increasingly important in the modern digital landscape. As search engines evolve and AI systems play a larger role in how content is discovered, businesses need to think carefully about how their content is structured and presented. One of the tools available to help with this is schema markup, which..."
After (answer-first, AI Overview-ready):
"Schema markup is structured data you add to your pages so search engines can read your business facts directly — name, location, services, prices — without inferring them from prose. Add it to your homepage, service pages, and FAQ pages as JSON-LD."
The second version can be extracted and cited in an AI Overview immediately. The first cannot, because the answer is buried under three sentences of preamble. See our SEO guide for 2026 for the full content restructuring pattern.
What Indian Businesses Should Do Now
Audit your traffic by intent. Separate your pages into informational, transactional, and navigational intent. Focus defence efforts on your transactional and navigational pages — these are harder to disintermediate with AI Overviews. For informational pages, accept that click-through rates may fall and optimise for citation instead.
Restructure core pages for answer-first format. Every service page, pricing page, and FAQ should open with a direct answer or definition. Use H2 headings that are phrased as questions — these are the structures AI Overview generation is most likely to extract from.
Add FAQPage schema to every page that has Q&A content. This is covered in depth in our schema guide for Indian businesses. FAQPage schema explicitly labels your Q&A pairs for extraction, which improves the odds of citation.
Build genuine authority on your core topics. AI Overviews favour sources Google already recognises as authoritative. This means consistent publishing, inbound links from relevant Indian industry sites, and strong entity signals — Google My Business, consistent NAP data, schema markup, and sameAs links to authoritative profiles.
Do not block Google-Extended in robots.txt. Google-Extended is the crawler used to train Google's Gemini models. If you block it, you are reducing the likelihood that your content informs Google's AI systems. Unless you have a specific reason to block training data use, allow it.
The Opportunity Side
AI Overviews have a side effect that is easy to miss: they have raised the bar for what ranks as a cited source, which means lower-quality competitors who previously ranked on backlinks alone are now less likely to be cited. If you can produce genuinely useful, well-structured, technically accurate content, you compete on quality rather than domain authority.
For Indian B2B businesses, this is a real opportunity. The content quality bar in many Indian B2B verticals — software development, accounting, logistics, legal services — remains relatively low. A business that invests seriously in answer-first, schema-marked-up content will stand out in AI Overview citations against competitors who have not.
| Action | Effort | Impact on AI Overview citation |
|---|---|---|
| Rewrite pages to answer-first format | Medium | High |
| Add FAQPage schema | Low–medium | High |
| Ensure Google-Extended is allowed in robots.txt | Very low | Medium |
| Build authoritative inbound links | High, ongoing | High |
| Add Organization + LocalBusiness schema | Low | Medium |
| Publish consistent fresh content | High, ongoing | Medium |
Cost Context for Indian Businesses
Restructuring your core pages for answer-first AEO format — rewriting service pages, adding schema, restructuring FAQ content — typically costs ₹40,000–₹1.2 lakh depending on the number of pages and the depth of technical implementation. The technical schema work alone (JSON-LD on existing pages) is typically ₹25,000–₹75,000. See our pricing page for how NexaEx structures this work.
This is not a one-time fix. AI Overviews are evolving rapidly and the citation patterns will shift as Google adjusts the feature. The businesses that maintain an ongoing content and technical hygiene practice will outperform those that treat it as a single project.
If you want an honest assessment of how your current site performs for AI Overview citation — and what to fix first — talk to NexaEx.
Frequently asked questions
Do AI Overviews always reduce website traffic?
Not universally. AI Overviews most affect informational queries where a user asks how something works and gets a complete answer without clicking. Transactional queries — where a user wants to buy, contact, or compare — still drive clicks because the AI answer cannot substitute for the actual interaction. For most Indian B2B businesses, branded and transactional traffic is less affected than how-to blog traffic.
Can I prevent my content from appearing in Google AI Overviews?
You can block the Google-Extended crawler in robots.txt, which reduces (but does not eliminate) the likelihood your content is used in AI training and generation. However, blocking Google-Extended may reduce your site's influence on how Google's AI systems understand your business, which could hurt rather than help your overall AI visibility. For most businesses, the better strategy is to optimise for citation rather than opt out.
How is optimising for AI Overviews different from traditional SEO?
The structural requirements are stricter. Traditional SEO rewards comprehensive content that builds authority over a long page. AI Overview citation rewards self-contained paragraphs that answer a specific question immediately — the answer must be extractable without reading surrounding context. FAQPage schema, answer-first paragraph structure, and genuine factual specificity matter more than word count or keyword density.
How quickly can changes to my site affect AI Overview citations?
There is no reliable timeline. Google recrawls pages on its own schedule, and AI Overview generation depends on many factors beyond individual page content. Structural changes like answer-first rewrites and FAQPage schema additions can take days to weeks to be recrawled and reflected. Authority signals like inbound links and entity recognition build over months. Treat AI Overview optimisation as a medium-term investment, not a quick fix.