The question I get most often right now from clients and students at SEO University is some version of: ‘Should I be doing AEO instead of SEO?’ The honest answer is that this is the wrong frame. The better question is how they relate, where they overlap, and what each requires you to do differently.

The Fundamental Difference

Traditional SEO is optimized for a specific event: a user clicks a link from a search results page. The ranking position determines how often that event happens. Everything in classic SEO — keyword research, link building, page authority, technical crawlability — is ultimately in service of winning that click.

Answer Engine Optimization targets a different event: an AI system reads your content, extracts your answer, and presents it to a user as the response to their query. The citation may include your name, your URL, or a direct quote — or it may paraphrase you without attribution. In all of those cases, you influenced the answer. That is an AEO win.

The distinction matters because the optimization path is different:

  • SEO asks: how do I rank above my competitors?
  • AEO asks: how do I become the source an AI system trusts and cites?

Where They Overlap

The two are not separate disciplines that require separate teams and budgets. They share a lot of common ground.

  • Content quality: Both reward genuine depth and accuracy. Thin content fails in classic search and in AI extraction alike.
  • Authority and backlinks: Inbound links from reputable sources signal authority to Google’s ranking algorithm. Many AI systems that draw on live web data use similar signals when deciding which sources to trust.
  • Technical health: A fast, crawlable, well-structured site helps both. If Googlebot cannot index your content, AI Overviews cannot pull from it either.
  • E-E-A-T signals: Experience, expertise, authoritativeness, and trustworthiness are explicitly what Google’s quality raters look for, and they map closely to what AI systems are trying to assess about a source.

The practical implication of that overlap is that time you have spent on SEO is not wasted. A well-linked, technically healthy, author-attributed site has a head start on AEO because the foundation of trust is already there. You are adding a new execution layer, not starting over.

Where They Diverge

This is where the real work difference lies. SEO primarily asks: am I relevant to this keyword? AEO asks: am I the clearest, most trustworthy answer to this question?

Format requirements diverge. In SEO, a well-optimized page might bury the core definition three paragraphs in, after a narrative intro. For AEO, that kills you. AI systems want the answer immediately, stated plainly, in the first sentence or two under a question-based heading. Extraction-friendly format is not optional for AEO.

Off-site consensus matters more in AEO. Google rankings care a lot about links. AEO cares more about whether your key facts are consistently stated across authoritative sources: industry directories, publications, partner sites, social profiles. AI systems cross-reference to decide what is true about you. If your own site says you are a Phoenix-based digital strategist and every third-party source says the same thing, the AI has high confidence. If sources conflict, confidence drops.

Entity-level optimization becomes central. In classic SEO, I optimize pages. In AEO, I optimize the entity — the brand, the person, the organization — so AI systems develop a complete, accurate, consistent picture of who that entity is and what it stands for. I dig into this more in entity optimization.

Zero-click is a feature, not a failure. In SEO, a zero-click result is a problem — the user got their answer without visiting your site. In AEO, that citation may be exactly what you wanted. It builds brand recognition and trust even without a click. Over time, users who see your brand cited repeatedly become more likely to seek you out directly.

The Traffic Reality

I want to be honest about the trade-off here. AEO does not always drive direct traffic the way a #1 ranking does. If an AI system quotes your content accurately without a link, you get brand exposure and topical authority signaling, but not necessarily a session in your analytics.

That is a real cost. It is why I tell clients not to abandon SEO in favor of AEO, but to run both. SEO still drives measurable clicks from users who want to explore options or go deeper than the AI answer. AEO builds the brand-level trust that increasingly determines which sites get those clicks in the first place.

The analogy I use: SEO gets you in the race. AEO gets you recognized as a credible name in the field, so that when someone does click, they already have a positive prior on your brand.

What Changes in Your Content Process

If you are already doing competent SEO, here is what AEO adds to your content workflow:

  • Write an explicit definition or direct answer within the first 50 words of every major section.
  • Use question-phrased H2s wherever the content answers a genuine user question.
  • Build out entity profiles consistently across your site, Google Business Profile, LinkedIn, industry directories, and any publication where you contribute.
  • Audit your facts for consistency. The name, location, specialty, and credentials you claim on your site should match exactly what appears on every external source.
  • Measure whether AI systems are citing you, not just whether you rank. I cover that in measuring AI visibility.

A Practical Example of Both in Action

Say someone searches ‘how to do a technical SEO audit.’ In pure SEO terms, I want my audit guide ranking on page one so the user clicks it. In AEO terms, I want the AI Overview or Perplexity response to quote the step-by-step framework from my guide and name it as the source. The SEO play is about position. The AEO play is about whether my specific process gets presented as the authoritative method.

A page that ranks third but gets cited in the AI Overview is winning two games at once. A page that ranks first but is formatted in a way that blocks AI extraction is leaving value on the table. At Salterra, I work toward both outcomes simultaneously — ranking and citation are not in opposition when you execute both strategies correctly.

Which to Prioritize?

If you have a well-established site with strong domain authority, start with AEO content restructuring — the authority base already exists, so formatting pages for extraction delivers quick relative gains. If you are a newer site with weak link equity, invest in SEO fundamentals first, because AI systems rely heavily on authority signals, and AEO formatting alone cannot compensate for a trust deficit at the domain level.

For most sites I work with, the answer is parallel investment at different intensities depending on the current gaps. Neither discipline is optional when AI-generated answers are actively competing with organic results for user attention on your target queries.

The Bottom Line

AEO is not SEO’s replacement. It is what SEO is evolving into in an environment where AI systems answer more queries than blue links do. The fundamentals of quality, authority, and relevance still apply. The execution layer — format, entity strategy, off-site consensus — is where AEO adds new requirements on top of the classic playbook.

If you want to understand the full framework I work from, the Answer Engine Optimization pillar page lays out how these pieces connect in practice.