Generative engine optimisation (GEO) services for AI answers

What generative engine optimisation (GEO) services actually involve

Strip away the buzzwords and GEO is simple to describe. It's the work of making sure that when an AI assistant builds an answer about your category, your business is part of the material it draws on, and that what it says about you is correct.

Three terms get mixed up constantly, so here are plain definitions.

SEO

Ranking web pages in Google's normal results. Still the base of everything that follows.

AEO (answer engine optimisation)

Shaping content so a search engine or assistant can lift a direct answer from it: a clear question, a short self-contained reply, then detail. Featured snippets, voice answers and FAQ-style AI responses all reward this.

GEO (generative engine optimisation)

Broader. It covers how large language models form an opinion about your brand from everything on the web, including your site, your Business Profile, directories, reviews, news, forums and comparison articles. Then it covers whether that opinion is strong enough for them to recommend you by name.

"AI SEO" and "LLM optimisation" are mostly marketing labels for the same bundle. Useful shorthand, nothing more. For a longer explainer, read our guide on what GEO is.

SEO vs AEO vs GEO: how they compare

They overlap more than agencies selling them separately admit. Here's how the goals and tactics differ.

If your site isn't ranking at all in normal search, fix that through our SEO services first. GEO built on a weak site is decoration.

What our GEO and AEO work includes

The audit decides the order; most businesses need fixes in three or four of these areas.

How ChatGPT, Gemini, Perplexity and AI Overviews choose sources

Each platform works a little differently, which is why a single trick never covers all of them.

• ChatGPT answers partly from what the model learned in training and, when it searches, from live pages fetched through its own crawler and third-party search indexes. It doesn't read Google's rankings directly, so being properly indexed in Bing matters more than most Indian businesses realise.
• Gemini is tied closely to Google's own index and Knowledge Graph, and it's built into many Android phones, which is how a large share of Indian users meet it.
• Perplexity searches the web for almost every question and shows its sources openly, so well-structured pages that answer the exact query get cited often.
• Google AI Overviews and AI Mode summarise from pages Google already ranks and trusts, which is why classic SEO strength shows up here first.

Across all four, the pattern is similar. They favour sources that answer the question plainly, agree with other sources, and come from brands that are mentioned elsewhere. A business described the same way on its website, its Business Profile, IndiaMART and a trade article looks far more solid to a language model than one with three different stories.

Entity clarity: one consistent story about your business

An entity, in AI terms, is a thing the model can recognise: your company, its founder, its products, its location. Models get confused easily. Two companies with similar names, an old address on Justdial, a product listed under a different name on your catalogue. Confusion means they either skip you or describe you wrongly.

We build a fact sheet first: legal and trading name, founding details you're happy to publish, address, service areas, core services, product lines, certifications, key people. Then we check it against every place that matters.

• Your About, Contact and service pages, plus Organization and LocalBusiness schema.
• Google Business Profile, Bing Places and Apple Business Connect.
• Indian directories such as Justdial, IndiaMART, TradeIndia and Sulekha, and industry association lists.
• LinkedIn company page, YouTube channel and other social profiles, linked through sameAs in schema.
• Wikipedia-style sources such as Wikidata, only where the business genuinely qualifies for a neutral entry.

It's unglamorous work. It's also where many quick wins hide, especially for businesses that have moved office or renamed a brand.

How a GEO engagement runs

Foundations first, then content, then mentions, measured the same way every month.

1. 01

   Free growth audit

   We test your prompts across AI platforms, review your site and listings, and send the plan with our fee.

2. 02

   Fact sheet and cleanup

   Business facts agreed, then corrected across site, schema, Business Profile and key directories.

3. 03

   Access and structure

   Crawler rules fixed, llms.txt added, priority pages rebuilt in answer-first format.

4. 04

   Mentions and reviews

   Outreach to publishers and directories, plus a review routine in Gujarati and English.

5. 05

   Track and adjust

   Monthly prompt results, AI referral traffic and leads, with the next month's focus agreed on a call.

Answer-first content and FAQ blocks AI can lift

AI systems pull short passages, not whole pages. A page that answers "How long does GST registration take?" in the first sentence of a clearly labelled section is far easier to quote than one that makes readers scroll past three paragraphs of introduction.

We restructure your key pages so each question gets its own heading, a direct answer of two or three sentences, then the detail. We add FAQ blocks built from real buyer questions, pulled from sales calls, WhatsApp chats, People Also Ask boxes and Search Console. Comparison pages, pricing-factor pages and "how to choose" pages get special attention, because those prompts are where recommendations happen.

One caution. Answer-first doesn't mean thin. The pages that get cited usually have more specific detail than competitors, not less: named standards, real process steps, honest limits.

Schema markup in AI search: what it can and can't do

Structured data tells machines exactly what a page says: this is an organisation, here's its address, these are its services, this is a question and its answer. Organization, LocalBusiness, Service, Product, FAQPage and BreadcrumbList cover most businesses.

Does schema markup help in AI search? It helps parsing and consistency, and Google uses it to understand entities. It doesn't force any assistant to mention you. Some agencies sell schema as a magic switch for ChatGPT. It isn't. We add schema that matches what's visible on the page, validate it, and treat it as one supporting signal among many.

Third-party mentions: reviews, listicles, forums and press

Ask ChatGPT for "the best physiotherapy clinics in Vadodara" or "reliable brass component manufacturers in Jamnagar" and look at what it cites. Mostly other people's pages. Review sites, "top 10" articles, news stories, Reddit and Quora threads, directory profiles.

So GEO is partly a PR job. We find the lists, articles and discussions AI tools already use for your category, then work on getting you included where you deserve to be: pitching to publishers, supplying data or expert quotes to trade media, correcting outdated directory entries, and helping you answer genuine questions on forums under your real name.

Reviews count too. Plenty of recent, detailed Google reviews feed both Maps and AI answers for local searches. Our guide on how to get more Google reviews covers the rules.

llms.txt, robots rules and AI crawler access

You can't be cited if the AI crawler is blocked. We regularly find sites where a security plugin or a copied robots.txt blocks GPTBot, OAI-SearchBot, PerplexityBot or ClaudeBot without the owner knowing. Some firewalls block them too.

We review your robots.txt, CDN and firewall rules, and decide with you which bots to allow. Search-oriented crawlers usually should be allowed. Training crawlers are a business choice, and blocking Google-Extended affects Gemini training use rather than your normal Google rankings.

What is an llms.txt file and do I need one?

It's a proposed plain-text file that gives AI tools a clean summary of your site and links to key pages. Adoption by the big platforms is still unclear. It costs little to create and does no harm, so we add one, but we won't pretend it moves the needle alone. Pages that render their main text in HTML, without depending on heavy JavaScript, matter far more.

Measuring AI visibility honestly

Can you measure visibility in ChatGPT and Perplexity? Partly. Anyone claiming precise AI rankings is overselling.

We build a prompt set for your business: twenty to forty questions a real buyer might ask, in English, Hindi and Hinglish, covering your services, locations and comparisons. Each month we run them across ChatGPT, Gemini, Perplexity and Google AI Overviews, then log if you're mentioned, if you're cited with a link, which competitors appear and what the assistant gets wrong about you.

We also track referral traffic in GA4 from chatgpt.com, perplexity.ai and gemini.google.com, and leads from those visits. Answers vary by session, account history and location, so we read the trend across the prompt set, never a single screenshot.

GEO for local businesses vs national and B2B brands in India

Local businesses

For a clinic, school or showroom, AI answers for "near me" style prompts lean on Maps data, reviews and local listings. Here, strong local SEO does most of the heavy lifting. In our home state, the city SEO pages show how local search behaves: for example the SEO company in Vadodara page, or those for Ahmedabad, Surat, Rajkot and Anand.

National and B2B brands

A Morbi tile exporter or an Ankleshwar chemical supplier gets asked about by buyers in other states and abroad. For them, the job is detailed product and application pages, trade media mentions and consistent company facts across B2B directories.

The Indian context

Indians prompt differently. Hinglish questions, a mix of English product names with Hindi or Gujarati phrasing, and voice queries through Gemini on Android are common. Google has rolled out AI Mode in India too. Can a small business in India compete in AI search? Yes, often more easily than in classic search, because assistants reward clarity and specific answers over domain size.

What we won't do, and realistic timelines

• Guarantee mentions in ChatGPT or any other assistant.
• Post fake reviews, sock-puppet forum answers or paid "mention farms".
• Publish hundreds of AI-written pages to flood the web.
• Rebadge ordinary SEO tasks as AI services without changing the work.

How long does it take to show up in AI answers? Perplexity and AI Overviews can reflect page changes within weeks, since they fetch live. ChatGPT's search answers move on a similar timescale. What the underlying models "know" about you changes slowly, over months, as mentions build up. Plan for three to six months before judging the trend.

Pricing follows our audit model: no packages. The free growth audit report includes an AI visibility snapshot, the plan and our fee, and we walk through it on a call, Google Meet or at our Anand office. Want to try the basics yourself first? Read how to get recommended by ChatGPT.

Frequently asked questions