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AEO & GEO (AI search)

Be the answer when buyers ask AI what to use.

Buyers now shortlist software by asking ChatGPT and Perplexity, often before they open Google. I measure where you show up in those answers today, then build the sources and content those models pull from until you show up more often, and in a better light.

Book a call →See how it works

Recent work: invideo · Born Minimal

Is this for you?

Who this is for, and who it isn't.

A good fit if…

  • You sell to buyers who research before booking a demo
  • Competitors keep showing up in AI answers and you don't
  • You already have a product people like, and some content to build on

Not a fit if…

  • You need demos next week: AI visibility compounds over months
  • You have no website content and no plans to create any
What you get

Deliverables, not adjectives.

  • Baseline report: the 50–150 prompts your buyers ask, and who gets cited for each
  • Gap map: which sources (listicles, Reddit threads, review sites, docs) the models lean on in your category
  • Citable content on your site: comparison pages, clear answers, structured data, llms.txt
  • Off-site source building: placements on the pages and threads the models already trust
  • Monthly share-of-voice tracking across ChatGPT, Perplexity, Gemini and Google AI Overviews
How it works

The playbook.

1.Week 1

Baseline

Map buyer prompts, run them across the main AI assistants, and record who gets mentioned, cited and recommended.

2.Weeks 2–3

Source map

Trace the citations back to their sources. Those pages are the real targets.

3.Weeks 3–8

Build

Ship citable pages on your site and earn placements on the sources the models already read.

4.Ongoing

Track & compound

Re-run the prompt set monthly. Double down on what moved and drop what didn't.

Timeline: First citation movement usually shows up within 6–10 weeks. It keeps compounding after that.

What we measure

The numbers you'll see every month.

AI share of voiceCitations per prompt setRecommendation rankAI-referred sessions & signups

Tools I use for this:

DataForSEO LLM mentionsClaudeChatGPTPerplexityGoogle Search ConsoleGA4 AI-referral tagging

Pricing

Start with a one-week GTM Teardown (₹50,000, credited). Ad spend, creator fees and tools at cost. GST extra.

from ₹2L / monthPriced by scope, not by the hour.
FAQ

Questions marketing leaders ask.

How do you measure whether we're cited today?

I build a set of real buyer prompts for your category (best X for Y, X vs Y, X alternatives) and run them across ChatGPT, Perplexity, Gemini and Google AI Overviews. You get a baseline of who's mentioned, who's cited, and in what order. The same set is re-run every month, so progress is measured, not guessed.

What actually moves AI citations?

Mostly the sources the models already trust: comparison articles, review sites, Reddit and community threads, well-structured docs, and your own pages when they answer questions plainly. The work is getting you onto those sources and making your own content easy to quote.

Is this different from SEO? Am I paying twice?

They overlap. Technical health and strong content help both. But AI answers depend more on third-party mentions and on how clearly you answer a question. If you run both with me, the work is planned as one programme and priced that way.

How long until it changes?

Plan on about two months for the first measurable movement and a quarter for a clear trend. Models refresh their sources at different speeds, so I report on the trend line, not individual answers.

Can you guarantee we'll be recommended first?

No one honestly can. AI answers vary between runs and between users. What I commit to is the work, the measurement and moving your share of voice up over time.

Often paired with:

SaaS SEO →Reddit →GTM Teardown (channel audit) →

Let's talk.

Thirty minutes. No deck. A straight answer on whether I can help.

Book a call →hello@dudeconsulting.in