May 31, 2026 · 10 min read
How to Make AI Search Find You
Adil Birlesov
Twenty years of SEO taught one thing: get into Google's top ten. Everything was built around that — keywords, backlinks, meta tags, page speed. But over the past two years, the rules have changed. When someone asks Google or ChatGPT 'good dentist in Almaty,' they increasingly don't get ten blue links. They get a ready-made answer generated by AI, with a handful of brands mentioned — and they may never reach the actual search results page at all.
This is a new layer of search: not 'how to rank in the top ten,' but 'how to appear in the answer.' It has its own name — Answer Engine Optimization, AEO. And in 2026, ignoring it is no longer an option.
Let's break down what has changed, how it works, and what a service business in Kazakhstan can actually do to show up in the answers from ChatGPT, Google AI Overviews, and Perplexity.
What Has Happened to Search in Two Years
Google AI Overviews — the AI-generated block at the top of search results — went mainstream in 2024. By 2026, it appears across a significant share of search queries. According to McKinsey data cited by HubSpot in the State of Marketing 2026, half of all Google searches now include an AI overview, and half of consumers are using AI-powered search.
ChatGPT with web search, Perplexity, Google Gemini, Microsoft Copilot — all of them answer the user directly, citing several sources. Before clicking anything, a person has already received a complete answer mentioning brands, prices, pros, and cons. According to HubSpot Consumer Trends, 72% of consumers plan to use AI more for purchasing decisions.
The shape of the query itself has also changed. The average Google search query is 3.37 words (The Growth Memo, 2025 data). The average ChatGPT prompt is 23 words, with some reaching 2,717 words (Semrush data). A user turning to AI formulates their question in detail, conversationally: 'I want a dental implant, budget up to 800,000 tenge, in the Samal area, warranty matters — recommend a clinic and tell me what to look for when choosing.' That's not a search query — it's a brief to a consultant.
The old SEO goal was to land on the first page for 'implant Almaty.' The AEO goal today is to be mentioned in ChatGPT's answer to that kind of detailed, conversational query.
How AEO Differs from SEO
The industry has been fighting over terminology for a couple of years. AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), LLMO (Large Language Model Optimization) — different authors use different terms. Substantively, they all mean the same thing: how to get AI systems to cite you when answering a user. This guide uses AEO as the most widely established term in the English-language industry.
The core difference from classic SEO is the nature of the win. SEO delivers a click. AEO delivers a mention in the answer — and in most cases, the user doesn't click at all. They make their decision based on what they read in the AI's response.
This changes everything:
- Ranking is no longer the end goal. As Zoe Ashbridge notes in her AEO trends review for HubSpot 2026: 'I've seen sites on the second or third page of Google — sometimes not even in the top five — that are visible in AI answers.' In other words, position in traditional search results and appearing in an AI Overview are two separate challenges.
- The 'traffic' metric is incomplete. You need to track citations (whether AI links to your domain), mentions (whether your brand appears in the answer), and share of voice (your share of mentions within your topic area).
- Quality of the answer matters more than keyword density. AI looks for a page where the first paragraph directly answers the user's question — not a preamble or intro, but an actual answer.
Six Areas of Work
From the HubSpot overview — six areas where the industry is seeing real change in 2026. Adapted for service businesses.
1. Local pages with structured information. For service businesses with multiple locations, this is critical. A dedicated page per branch, with NAP (Name, Address, Phone), operating hours, FAQ, and a description of services. Marked up with Schema.org (LocalBusiness, PostalAddress, Service). AI systems rely heavily on structured data — without it, you are nearly invisible to them.
2. Answer-first format. Every page section should open not with a preamble but with a direct answer to the question that section's heading poses. This is the inverted pyramid format: the key point in the first sentence, development follows. AI parses content looking for 'a quotable block' — it finds that in the first lines, not the third paragraph.
3. Data consistency everywhere. If your website says 'Smile Clinic,' 2GIS says 'Smile Klinik,' and Google Maps says 'Smile Dental Almaty,' AI treats these as three different entities. Part of your mentions will go to someone else. NAP, brand name, and service descriptions must be identical across your website, directories, social media, and Google/2GIS/Yandex Business maps. It's a tedious couple of days of work — but without it, everything else loses its effect.
4. AI visibility metrics. A new task has emerged: monitoring how often your brand appears in AI answers for relevant queries. There are no established tools yet — some do this manually, running 20–30 typical queries through ChatGPT and Perplexity once a month and recording whether the brand appears. Automated options are emerging too: Surfer, Profound, Otterly. The main thing is to start measuring — otherwise you have no way of knowing whether your efforts are working.
5. AEO and SEO as a single strategy. The same pages that work for SEO should work for AEO. That means: existing SEO pages get answer-first blocks added, FAQ sections with direct answers, schema markup, and consistent entity data. Not two separate projects — one project with two outputs: clicks and mentions.
6. Multi-format. AI systems cite more than text content. A YouTube video with clear chapters and a transcript can appear in Google AI Overviews and in Gemini answers. Podcasts with transcripts are cited too. For service businesses, this means: if you produce YouTube or Reels content with educational material, adding transcripts and clear time-stamping is direct AEO work.
What Matters for Service Businesses in Kazakhstan
The specifics in Kazakhstan include two additional strong map-based platforms alongside Google: 2GIS and Yandex. Both matter. All three (Google, 2GIS, Yandex) must contain identical business information — this is the first practical task. Below is what to do concretely.
Fully fill in your business profiles across all three platforms. 2GIS, Google Business Profile, Yandex Business. Hours, photos, service descriptions, pricing (where possible), categories — everything. This is foundational: AI answers to local queries rely directly on these profiles.
Synchronize your NAP. One name, one phone number, one address. If discrepancies already exist — fix those first. One day of work, years of effect.
Build an FAQ page on your website. A list of real customer questions — 'how much does a full-cost implant procedure cost,' 'is there a warranty,' 'do you accept OSMS,' 'do you see children.' Answers should be short, direct, and specific. Mark it up with FAQPage schema. This is the most frequently cited format by AI on service business websites.
Add an answer-first block to the top of each key page. On a service page, the first paragraph should not be 'Our clinic has been open since 2015...' — it should be 'A full-cost implant at our clinic costs from X to Y tenge, takes this many visits, with a warranty of this many years.' The background and story can follow lower on the page.
Give each service its own page. Not 'all services in a list,' but a separate URL for each: implants, orthodontics, whitening, root canal treatment. Each page gets its own answer-first paragraph, its own FAQ, its own pricing. AI cites precisely, not from a general overview page.
Schema.org markup. LocalBusiness on the homepage, Service on service pages, FAQPage on FAQ pages, Organization for the overall brand. Half a day for a developer — but the impact on AI visibility is significant.
Consistency with reviews. AI reads reviews from 2GIS, Google, and Yandex. There's no need to inflate review counts — you need to respond to real reviews, especially negative ones. A business response to a review also becomes part of the data AI systems learn from.
What Not to Do
Several practices that look like AEO in 2026 but don't work — or worse, are penalized:
- FAQ markup spam. Creating hundreds of Q&A pairs purely to add markup — algorithms detect this and demote pages.
- Keyword stuffing. The old SEO tactic that AI systems now recognize and penalize: the answer should be for a person, not a parser.
- Duplicate pages targeting different query variants. If two pages say the same thing in different words, AI picks one and ignores the other.
- Hidden content. Invisible blocks, white text on white background — search engines detect this, and so do AI systems.
A One-Month Checklist
- Run 15–20 typical customer queries through ChatGPT and Perplexity. Note: is your brand mentioned? Which competitors appear? What have they written about themselves that put them ahead of you?
- Verify that NAP is identical across Google Business Profile, 2GIS, Yandex Business, and your website.
- Create or update an FAQ page with 15–25 real customer questions and short, direct answers.
- Add Schema.org markup: LocalBusiness + Service + FAQPage. Half a day for a developer.
- Rewrite the first paragraph of each key service page in answer-first format.
- If you have multiple branches — create a dedicated page for each with localized FAQ.
- Set up a simple monthly report: 'does the brand appear in AI answers across 20 queries.' This is the start of measurement.
Why This Matters Right Now
In two or three years, the rules being established today will be the norm. Businesses that started in 2026 will feel like established players — they will have accumulated presence, citability, and AI-sourced backlinks. Businesses that wait until 2028 will find the space already occupied.
This doesn't mean abandoning SEO. Classic search isn't disappearing — it remains a parallel channel. AEO is an additional layer that within a few years may become the primary discovery channel for entire industries, especially service businesses, where queries are conversational and decisions depend on specifics.
The key is to treat this as foundation-building, not trend-chasing. Structured pages, consistent data, direct answers — all of this is valuable on its own merits, even if AI search didn't exist. With AI search, it simply becomes critical.
At Alteora, we help service businesses prepare their websites and online presence for AEO without a disruptive overhaul — typically a month of focused work, after which visibility in AI answers begins to grow.