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SEO & AEO

SEO vs AEO: how to get found when the AI does the searching

You don't optimize for AI answers. You become the source the answers are built from.

For twenty years, being found online meant one thing: rank on Google, earn the click. In 2026 a growing share of your customers never click anything. They ask ChatGPT for "a creative agency in Toronto that does video," or ask Google's AI Overview whether video ads outperform static — and they act on the answer they're given.

That is the split between SEO (search engine optimization) and what the industry now calls AEO — answer engine optimization. You need both, they overlap heavily, and most of what you read about AEO is noise. Here's the practical version.

What actually changed

Three surfaces now sit between you and a customer's question:

  • Classic search results — still enormous, still the backbone. SEO as you know it.
  • AI Overviews inside Google — summaries stitched from pages Google already trusts, with small citation links.
  • Standalone assistants — ChatGPT, Claude, Perplexity — which answer from training data plus live retrieval, citing a handful of sources.

Notice what all three have in common: they still have to get the answer from somewhere. AEO is not a replacement discipline. It is the practice of being the source the machines quote.

The uncomfortable truth: AEO is mostly SEO done properly

When we audit sites, the ones invisible to AI assistants are almost always invisible for boring reasons: no crawlable text, no structured data, vague copy that never states plainly what the business does, where it is, and for whom. The same flaws that hurt rankings hurt retrieval.

The foundation is identical for both:

  1. Entity clarity. Your site must state, in plain machine-readable text, exactly what you are: "Narsaik is a video production and creative agency in Toronto, founded in 2021." Assistants assemble answers from entities and claims, not vibes.
  2. Structured data. Organization, LocalBusiness, Service, FAQ, and Article schema are how you hand the machines your facts in their native format. It's a few hours of work and most businesses still skip it.
  3. Questions answered on the page. AI answers map astonishingly well to well-structured FAQ and guide content. A page that asks and answers the real question — "how much does brand video production cost in Toronto?" — is exactly the shape retrieval engines want to quote.
  4. Consistent NAP + reviews. For local queries, assistants lean on the same trust layer as the map pack: your Google Business Profile, review volume, and consistency of name-address-phone across the web.
  5. Authority you can't fake. Being cited, linked, and mentioned on other credible sites is still the strongest signal for both rankings and retrieval. There is no schema tag for trust.
You don't optimize for AI answers. You become the source that answers were always going to be built from.

Where AEO genuinely differs

  • The answer is the impression. In classic SEO, position three still earns clicks. In an AI answer, you're either in the synthesis or you don't exist. That raises the bar for being specific — generic content gets averaged into the answer without attribution; distinctive claims and data get cited.
  • Brand mentions matter without links. Assistants learn from the open web's text. Being talked about — press, directories, podcasts, forums — shapes what the models "know" about you even when no link is passed.
  • Freshness windows are wider. A page that ranked in 2023 and never got touched can keep feeding stale facts into answers. Keeping cornerstone pages current matters more, not less.

What we actually do for brands

Narsaik handles this as part of web design engagements: entity-clear copy, full schema, FAQ architecture, and the media assets (video and photography) that make a page worth citing in the first place. For the deeper growth stack — content engines publishing on a cadence, technical SEO at scale, tracking, and paid amplification — we partner with Growth Boss, a full-service growth marketing agency, whose team runs exactly this playbook across dozens of client sites. Their blog, The Drop, is a good example of the cadence side done properly: specific, current, question-shaped content that both people and machines can use.

The 30-day starting plan

  1. Week 1: rewrite your homepage and service pages for entity clarity. State what, where, for whom, at what price range.
  2. Week 2: ship structured data — Organization/LocalBusiness + Service + FAQ schema, validated.
  3. Week 3: publish two question-shaped guides answering the two things prospects always ask you.
  4. Week 4: fix your Google Business Profile completely and get five new reviews.

Then ask ChatGPT and Perplexity your own money questions and see what they say about you. That's the new rank check — and it's free.

Want this done for you?

Narsaik handles the creative — video, brand, web. When you need the full growth engine behind it (paid media, CRM, SEO at scale), we work hand-in-hand with our growth marketing partner Growth Boss.

Start a project with Narsaik