AI Platform Optimization

What is AI platform optimization?

AI platform optimization means getting your business found, understood and quoted inside particular assistants: ChatGPT, Gemini and Google’s AI Mode, Copilot, Perplexity, Claude. And whichever one your customers open before they buy. We treat each one as a separate channel, because no two of them look things up the same way.

Think of a dentist in Jaipur. A patient asks ChatGPT for “a good dentist near Vaishali Nagar for root canal”. Another asks Gemini on an Android phone. A third uses Copilot inside Windows at the office. The same clinic might appear in one answer, be missing from the second and be described with an old address in the third. These tools don’t share one database. Copilot leans on Bing. Gemini and AI Mode lean on Google Search. ChatGPT runs its own search crawler alongside outside search partners. Perplexity runs its own index and shows every source. So a single “AI SEO” plan rarely reaches all of them equally.

• ~1Bmonthly Gemini app users reported by late 2026, plus AI Mode inside Google Search.
• ~900Mweekly ChatGPT users reported by OpenAI in early 2026.
• 4+separate search indexes behind the major assistants.
• 0agencies that can honestly guarantee a citation.

How each assistant finds details

Almost every modern assistant follows the same rough path when it needs fresh facts. The details at each step are where platforms part ways.

1. Question. The user asks something the model can’t safely answer from memory.
2. Rewrite. The assistant turns it into one or more search queries, often several.
3. Search. It queries its index or a partner index and gets a shortlist of pages.
4. Read. It fetches some of those pages and pulls out passages.
5. Answer. It writes a reply from those passages and, usually, links the sources.

That second step matters more than people expect. Researchers and tool makers who log these systems see that one question like “best CA firm in Jaipur for startups” is often split into several searches: “CA firm Jaipur startup registration”, “chartered accountant Jaipur reviews”, “startup compliance services Jaipur”. Google calls this “query fan-out” in AI Mode. A page that answers the sub-questions clearly has more chances to be picked.

The platforms side by side

Crawler names and their exact roles change from time to time. So we re-check the official documentation of each company before every audit. The split between “training” bots and “search” bots is the useful part. You can block a company’s training crawler and still allow its search crawler, which keeps your pages eligible to be cited without handing content to model training. Many publishers in India and abroad now take exactly that position.

Memory versus search

Assistants also answer from what they learned during training. That memory is months or years old and can’t be edited directly. If a model “remembers” that your clinic is in C-Scheme when you moved to Malviya Nagar in 2024, the fix is to make the correct facts dominant on the web so that future training data and live search both point the same way. Live search corrects things faster. Memory changes slowly, model by model.

Gemini, AI Mode and AI Overviews

Google has three AI surfaces that matter for visibility. AI Overviews are the summaries that appear above normal results. AI Mode is a separate conversational tab inside Google Search. The Gemini app is Google’s standalone assistant, built into most Android phones and Google Workspace. All three ground their answers in Google’s own search index.

That’s good news if your SEO is already strong. A page that ranks and is indexed by Google has a fair chance of being used. Still, sitting at position one doesn’t settle it any more. We often see AI Overviews quote a page from position seven. Because it had the one paragraph that answered the exact question.

Google-Extended: what it does and doesn’t do

Google-Extended is a token you can use in robots.txt. Blocking it tells Google not to use your content to train Gemini models or to ground answers in the Gemini app and Vertex AI. It does not remove you from Google Search, AI Overviews or AI Mode, which use normal Googlebot crawling. Many site owners mix these up and either block too much or expect a block to do something it doesn’t.

Query fan-out in AI Mode

Google has said AI Mode breaks a question into many related searches and combines what it finds. A question like “is it worth doing an MBA from Jaipur in 2026 if I already work in IT” may trigger searches on fees, placement reports, part-time options and salary data. Pages that cover a topic with clear sections, each answering a real sub-question, tend to get pulled in more than thin pages built around one keyword.

What helps on Google’s AI surfaces

Search Console includes AI Overviews and AI Mode traffic inside the normal Performance report, without separating it out. That’s why we also track a fixed prompt set by hand. See our Gemini optimization and AI Mode optimization pages for platform detail.

Perplexity, Claude and the rest

Perplexity

Perplexity is smaller than ChatGPT or Gemini. But it’s popular with researchers, journalists, analysts and tech buyers, which are often exactly the people a B2B company wants to reach. It shows its sources openly, usually with numbers after each sentence. That makes it the easiest place to learn which pages AI systems trust on a topic. We often start an audit on Perplexity for that reason.

Perplexity has its own crawler, PerplexityBot, plus Perplexity-User, which fetches a page live when someone asks about it. It tends to favour recent, well-structured pages, recognised publications and community discussions.

Claude

Anthropic’s Claude can search the web when that feature is on. Anthropic lists three agents: ClaudeBot for training, Claude-SearchBot for search quality and Claude-User for fetches a person asks for. Claude is used heavily for research, writing and coding, and more and more inside companies. Our Claude visibility work covers it specifically.

Others worth knowing

• Meta AI inside WhatsApp, Instagram and Facebook. In India, WhatsApp alone makes this one worth watching, because people ask Meta AI questions right inside their chats.
• Apple Intelligence and Siri, which use Applebot and Apple Maps data. Apple Business Connect is the listing to claim.
• Grok on X, which leans on posts and news shared on that platform.
• DuckDuckGo’s Duck.ai and DuckAssist, for privacy-minded users.
• Amazon’s Alexa+ and Rufus, which matter for product brands selling on Amazon.

We don’t suggest chasing every platform. For most businesses, Google’s surfaces and ChatGPT carry most of the volume, Copilot matters for B2B, and Perplexity is the best diagnostic tool. The rest get basic checks and attention only if your audience actually uses them.

Choosing where to start

Getting every assistant to describe you the same way

A common complaint we hear goes like this: “ChatGPT says we were founded in 2012, Gemini says 2015, and Copilot thinks we’re in Delhi.” Different assistants read different sources. So mixed facts across the web turn into mixed answers.

The fix is boring and effective. Pick the correct version of every key fact and make it identical everywhere it appears.

1. Write a fact sheet

   Legal name, brand name, founding year, founders, address, phone, service areas, core services, price ranges, awards. One source of truth for your team.

2. Fix your own site first

   About page, footer, contact page and organisation schema should all match the fact sheet.

3. Update the big listings

   Google Business Profile, Bing Places, Apple Business Connect, LinkedIn, Crunchbase, JustDial, IndiaMART or the directories that matter in your sector.

4. Correct the stubborn errors

   Old press articles, outdated directory entries and Wikipedia or Wikidata entries, where they exist and you have a legitimate basis to request edits.

5. Re-check each platform

   Ask each assistant the same identity questions after a few weeks and log what changed.

This overlaps with our entity and semantic SEO work, which goes further into knowledge graphs and how search engines understand brands.

How we run AI platform optimization

The order matters more than any single tactic. There’s no point rewriting content for ChatGPT if OAI-SearchBot is blocked, and no point chasing Copilot if Bing has indexed a tenth of your site.

1. Week 1

   Baseline prompt run

   We agree a prompt set with you and run it on each chosen platform. You get a snapshot: where you appear, where competitors appear, which sources get cited, and what the assistants get wrong about you.

2. Week 1–2

   Access and indexing audit

   robots.txt, firewall and CDN rules, JavaScript rendering, Google and Bing index coverage, sitemaps, IndexNow, and server logs to see which AI agents actually visit.

3. Week 2

   Fact and entity audit

   We compare how each assistant describes you against your fact sheet and trace wrong facts back to the sources feeding them.

4. Week 2–3

   Gap analysis per platform

   For each prompt where a competitor appears and you don’t, we look at the cited pages and work out why. Usually it’s a missing page, a vague page, a missing third-party mention or a technical block.

5. Month 1–3

   Fixes in priority order

   Technical blocks first, then listings and facts, then content: new pages for unanswered questions, clearer passages on existing pages, comparison and pricing pages where honest ones are missing.

6. Ongoing

   Earning mentions

   Reviews, expert quotes in press, inclusion in fair industry lists, helpful answers in communities. Assistants trust what others say about you.

7. Monthly

   Re-run and report

   The same prompts, the same platforms, a clear report of what moved and what we’re doing next.

What you are left with

• A documented prompt set you own.
• A crawler policy you understand.
• Google and Bing indexing in good shape.
• A fact sheet and matching listings.
• Pages written to answer real questions.
• Monthly visibility data per platform.

What it cannot do

Nobody can guarantee a citation. These systems are run by other companies, they change often, and their answers vary from one run to the next. Anyone promising “guaranteed ChatGPT ranking” is selling something they can’t control. What we can do is remove the reasons you’re being left out and make you the clearest, most trustworthy source on the questions that matter to your customers. Over a few months, that usually shows up in the numbers.

How priorities change by business type

For health, money and legal topics, assistants are noticeably more careful. They lean on government sources, regulators and established publications. A small clinic or advisory firm won’t outrank the Ministry of Health or SEBI, and it shouldn’t try. It can, though, become the trusted local or specialist source that assistants name when someone asks for a provider, provided its facts, credentials and reviews are solid.

AI platform checklist

Use this as a self-audit. If you can tick most of these, you’re ahead of the most of businesses in your market.

Access

• robots.txt allows Googlebot, bingbot, OAI-SearchBot, PerplexityBot and Claude-SearchBot.
• User-triggered agents (ChatGPT-User, Perplexity-User, Claude-User) aren’t blocked.
• A deliberate decision has been made on training crawlers.
• Firewall and CDN don’t challenge known AI crawlers.
• Main content appears in raw HTML, not only after JavaScript.

Indexing

• Site verified in Google Search Console.
• Site verified in Bing Webmaster Tools.
• Sitemaps submitted to both.
• IndexNow enabled.
• Bing and Google index similar numbers of pages.

Facts and listings

• A written fact sheet exists.
• Website, schema and footer match it.
• Google Business Profile, Bing Places, Apple Business Connect claimed and correct.
• Key industry directories updated.
• Old wrong facts traced and corrected where possible.

Content

• Pages answer real customer questions directly.
• Prices, timelines and processes are stated plainly.
• Statistics have sources and years.
• Authors and credentials shown on expert topics.
• Honest comparison pages where buyers compare.

Measurement

• A prompt set of 30+ questions.
• Monthly runs on each chosen platform.
• AI referral traffic tracked in analytics.
• “How did you hear about us?” includes AI assistants.

Reading your server logs for AI visits

Your server logs are a visitor book for bots: who came, how often, which pages they read. On cPanel, Hostinger or most managed WordPress hosts, there’s a button to download the raw access logs. Cloudflare and other CDNs also show bot traffic, often with AI crawlers labelled separately.

What we look for:

• Which AI agents appear at all. If OAI-SearchBot or PerplexityBot never shows up, something may be blocking them, or your site simply hasn’t been discovered yet.
• Status codes. Lots of 403 or 429 codes for a crawler? Something is blocking or throttling it, whatever robots.txt says.
• Which pages they read. Bots that only ever see the home page are a hint that your internal links or sitemap need fixing.
• User-triggered fetches. A ChatGPT-User or Perplexity-User hit means a human being just asked about that exact page. Those pages deserve extra care.
• Fake bots. Some scrapers pretend to be AI crawlers. The big companies publish IP ranges so you can tell the real ones apart before you allow or block anything.

A small business doesn’t need to do this every week. Once at the start and once a quarter is enough to catch problems early. For a bigger site, a simple monthly bot report from the CDN does the job.

A first audit, step by step

Here’s what a first look at a business might involve, using a made-up Udaipur boutique hotel, “Lake Haveli Stay”, as the example.

Step 1: ask the questions guests ask

We write 40 prompts: “boutique hotels near Lake Pichola”, “heritage hotel Udaipur under ₹8,000”, “best hotel in Udaipur for a small wedding”, “is Lake Haveli Stay good”. And so on. Each runs three times on ChatGPT, Gemini, AI Mode, Copilot and Perplexity.

Step 2: read the answers carefully

Results: Gemini mentions the hotel in 9 of the 40 prompts. ChatGPT, 4. Copilot, just 1. Perplexity, 6. ChatGPT says 12 rooms. There have been 18 since the 2025 extension. Copilot lists the wrong phone number. Perplexity quotes a 2022 travel blog praising a rooftop restaurant that shut down long ago.

Step 3: find the causes

Bing has indexed 14 pages out of 60. The hotel’s booking engine loads rooms through JavaScript, so AI fetchers see no room details. Two travel listing sites still show the old room count. The Bing Places listing was never claimed.

Step 4: fix in order

Claim Bing Places and correct the phone number. Submit the sitemap to Bing and turn on IndexNow. Add a plain HTML rooms page with room types, sizes, prices by season and photos. Update the two travel listings. Ask the travel blogger politely to update the post, offering new photos. Write a clear “small weddings at Lake Haveli Stay” page with capacity, packages and real costs.

Step 5: re-run after six to eight weeks

Room count is now correct on ChatGPT. Copilot shows the right phone number and names the hotel in five prompts. The wedding page starts getting cited on Perplexity and AI Mode. Not every prompt moves, and that’s normal, but the direction is clear and the wrong facts have stopped spreading.

What we need from you

AI platform work goes faster when a few things are ready on your side. None of them are complicated:

• Access to Google Search Console, Bing Webmaster Tools (or permission to set it up), analytics and your business listings.
• Questions customers ask. Ten minutes with your sales or front-desk team usually gives us more real prompts than any tool.
• Correct facts. Founding year, addresses, prices, team credentials. We turn these into the fact sheet.
• Someone who can approve changes to the website and robots.txt, so fixes don’t wait for weeks.
• Honesty about weak spots. If reviews mention a recurring problem, assistants will notice it too. It’s better to address it openly.

In return, you get plain-language reports, no jargon walls, and a clear list of what changed and why. When something we try flops, you’ll hear it from us first, along with what we’re changing.

How long it takes and what it costs

Technical fixes show results fastest. Unblock a crawler, or get Bing to index pages it skipped, and answers can shift in two or three weeks. Wrong facts are slower to fix, usually one to three months, since every bad source has to be edited and crawled again. Getting other sites to talk about you is slowest of all, and it never really finishes.

Price depends on three things: how many assistants we cover, how many prompts we track, and how much writing is needed. A neighbourhood clinic might need one audit, a round of fixes and a check every quarter. That’s it. A national brand selling online may need monthly tracking across five platforms with content and outreach. We quote after the baseline run, when we know what’s actually wrong. You can see our general approach on the pricing page.

Common questions about AI platform optimization

Which assistant should we start with?

For most businesses, Google’s AI Overviews and AI Mode come first. Because they reach the most people and build on SEO you may already have. ChatGPT is next. If you sell to offices, add Copilot early. We usually use Perplexity to learn which sources models trust, even when it’s not the main target.

Is this different from generative engine optimization?

They overlap. GEO covers the shared basics that help across all AI answers: clear content, trust, mentions. AI platform optimization checks each assistant on its own, because they search different indexes and use different crawlers. Most clients need both.

Can you guarantee we’ll appear in ChatGPT?

No, and nobody honestly can. Answers vary from run to run and the platforms change often. We can remove the reasons you’re left out and track progress with the same prompts every month.

Should we block AI crawlers to protect our content?

Block training crawlers if protecting your content matters more than being remembered by models. Keep search and user-triggered crawlers allowed if you want to be cited. Blocking all of them takes you out of AI answers.

Do we need to be on Bing if nobody in India uses it?

Yes. Almost nobody here opens Bing on purpose. Copilot does, though, every time, and so do a few other AI tools. Setting up Bing Webmaster Tools takes under an hour, and you can import your Google Search Console data in a couple of clicks.

Does schema markup help AI assistants?

It helps search engines understand your business, products and prices, which feeds into Google’s and Bing’s AI features. It isn’t a magic switch. Accurate schema on honest, useful pages is what helps.

How do we know if AI is sending us customers?

Check referral traffic from chatgpt.com, perplexity.ai, copilot.microsoft.com and gemini.google.com in your analytics. Add “AI assistant” as an option in your “How did you hear about us?” question. Watch branded search too, since many people see you in an AI answer and then Google your name.

An assistant says something wrong about us. What can we do?

Look at which link it cites, if any, and get that page corrected. Then check your own site and listings say the right thing, loudly and clearly. Most platforms also have a feedback button on answers. Live search answers usually update within weeks. Model memory takes longer.

How often should we check?

Monthly works for most businesses. Run each prompt a few times per check, because single answers vary. Check sooner after a big site change, a move or a rebrand.

Does this work for small local businesses?

Yes. Often quicker, actually, because fewer businesses compete for “physio near Raja Park” than for national terms. Correct listings, genuine reviews and a clear page per service will carry you a long way. One audit plus fixes is usually enough to get going.

Will AI assistants replace Google search?

Not fully, at least not soon. People still Google things for quick facts, maps and shopping, and Google now puts AI answers right there in Search. What’s changing is that the path to a decision often runs through several tools: a question to ChatGPT, a check on Google, a look at reviews, then a call. You want to show up, correctly, at every one of those stops.

Do we need different content for each assistant?

Usually not. One clear, accurate page serves them all. The differences sit in access, indexing and listings. What you write should follow the questions people ask, whichever app they ask in.