Asif Ali Web & Digital Growth

AI & Next-Gen Search · Delhi NCR & remote

When someone asks ChatGPT for a recommendation.

A model names three or four businesses. It does not run an auction and it does not check who ranks first. It draws on what it has read, and on what it can verify from more than one place.

Short answer

GEO, or generative engine optimisation, is the work of becoming a source that generative assistants such as ChatGPT, Gemini, Perplexity and Copilot draw on and cite. It depends less on ranking and more on being clearly described, consistently identified across the web, and corroborated by sources other than your own site.

ChatGPT, Gemini, Perplexity Third-party corroboration No control, only influence Monitored monthly
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01 The premise

A different kind of visibility.

Ask an assistant to recommend a digital marketing consultant in Delhi and it will name a handful. That list was not produced by a ranking algorithm you can study. It came from what the model absorbed during training, plus whatever it retrieved from the live web at the moment you asked. Neither is something you can buy into.

What you can influence is whether the model has clear, consistent, corroborated information about you. Models are conservative about naming specific businesses, and for good reason — recommending a business that does not exist is a serious failure. The practical consequence is that they favour entities that are described the same way in several independent places.

This makes GEO look less like classic SEO and more like public relations combined with data hygiene. Your own site matters, but it matters partly as the thing other sources agree with. A business described identically on its site, its Google profile, LinkedIn, a directory and a news mention is far easier for a model to name with confidence than one that appears three different ways.

I will be direct about the limits: nobody outside these companies can measure this precisely, and the field is young enough that some of what is confidently sold as GEO is guesswork. The underlying work — being clearly described, genuinely credible and consistently identified — is worth doing regardless, which is the honest reason to do it.

02 The work

What the work actually is.

Roughly in order of how much difference each makes.

The work

  • Entity consistency. Name, description, location and services identical across your site, Google Business Profile, LinkedIn, directories and every profile you own. Contradictions make you harder to name.
  • Organization and Person schema. Explicit machine-readable identity with sameAs links tying your profiles together into one entity rather than several.
  • Third-party corroboration. Mentions on sites you do not control. This is the part that cannot be faked and the part most agencies skip because it is slow.
  • Content worth citing. Specific, verifiable, useful writing. Generic marketing copy is not quoted by anything, human or machine.
  • Clear self-description. A page that plainly states what you do, for whom, and where. Obvious, and frequently absent.
  • Crawler access. Deciding deliberately whether GPTBot, ClaudeBot, PerplexityBot and others may read your site. You cannot be cited by a system you have blocked.
  • Monitoring. Asking the assistants the questions your buyers would ask, on a schedule, and recording the answers. The only real measurement available.

03 Crawlers

Who crawls what, and what it controls.

Frequently confused, and the confusion leads to genuinely damaging robots.txt decisions.

AgentWhat allowing or blocking it actually does
GPTBotOpenAI’s training crawler. Blocking it keeps your content out of future model training. It does not remove you from ChatGPT’s live browsing.
OAI-SearchBotServes ChatGPT’s search and browsing. Blocking this does remove you from those answers.
Google-ExtendedControls use of your content for Gemini and Vertex AI. It does not affect AI Overviews in Google Search.
GooglebotOrdinary search indexing — and the basis of AI Overviews. Blocking it removes you from Google Search entirely.
PerplexityBotPerplexity’s crawler. Perplexity cites sources prominently, so this is usually worth allowing.
ClaudeBotAnthropic’s crawler. Same reasoning as the others: allow unless you have a specific reason not to.

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04 Straight talk

What is genuinely influenceable.

The left column is worth paying for. The right column is worth being sceptical about.

You can influence

  • How clearly you are described. On your site and everywhere else you appear.
  • Whether sources agree. Consistency across profiles is the single most actionable factor.
  • Whether anyone else mentions you. Slow, real, and the hardest thing for a competitor to copy.
  • Whether crawlers can read you. A configuration decision entirely within your control.

You cannot control

  • What the model already learnt. Training data is fixed until the next model. You cannot edit it.
  • Whether you are named today. There is no submission, no bid, no dashboard.
  • How the answer is phrased. The model composes. You are a source, not an editor.
  • When it changes. Model updates move things unpredictably, in both directions.

05 Process

How a GEO engagement runs.

01

Baseline

Ask each assistant the questions your buyers would ask. Record the answers and the citations. Almost always more sobering than expected.

ChatGPTGeminiPerplexity
02

Audit the entity

Every place you appear online, and every way you are described. Inconsistencies listed and prioritised.

ProfilesNamesDescriptions
03

Fix and mark up

Descriptions made consistent, Organization and Person schema with sameAs, crawler access decided deliberately.

SchemasameAsrobots.txt
04

Earn corroboration

Mentions and citations from places you do not control. The slowest part and the one that actually differentiates.

MentionsProfilesPress
05

Re-ask monthly

The same questions, recorded, compared. Including the months nothing moved, because that is also information.

MonitorRecordReport

AI & Next-Gen Search

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  • Real answers from all three, recorded
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