How is optimizing for AI search different from traditional SEO? A practitioner view
How optimizing for AI search differs from traditional SEO, from our agency work: what carries over, what changes, and how we run both on client programs.
"Is GEO just SEO with a new name?" We get that question from clients and from our own team. Our answer after running both side by side is: partly. The foundations are shared. The goal, the sources, the content shape and the measurement are different enough that treating it as a rebrand leaves money on the table.
What we keep from SEO
We do not drop SEO when we start an AI search program. We do these first.
- Crawl and index health. If bots cannot reach or read a page, nothing else matters. Google's guidance for site owners says the usual search fundamentals apply to its AI features, and Bing's webmaster guidelines cover similar ground.
- Accurate, useful content. A page that answers a question well works for both.
- Technical basics. Speed, clean structure, correct canonicals and working internal links.
- Authority. Being cited and linked by trusted sites still counts.
Where the work changes
The goal moves from position to inclusion. In classic SEO a client asks what rank they hold. In AI search the question is whether they are named in the answer, and whether the cited sources are theirs. Clicks are fewer, so we judge success on inclusion and on the visits and conversions that do arrive.
Keywords become prompts and sub-queries. Buyers ask conversational questions, and many engines split a prompt into several sub-queries, called query fan-out. A page can rank for the head term and still miss every sub-query. Our content briefs now start from the sub-questions.
Off-site sources matter more. Engines lean on review sites, forums, news, directories and video. We now audit which third-party sources are cited for a client's topic, and whether the client is present on them. Classic link building does not cover that.
Passages matter. A model lifts a clean sentence, a definition, a comparison or a list. We write pages so key claims are explicit, sourced and in readable HTML text, not buried in images or scripts. An academic paper from 2024 on generative engine optimization tested tactics such as adding citations and statistics against generated answers. We treat it as a source of ideas to test, since its results come from its own benchmark and do not guarantee anything on a client site.
Measurement changes entirely. A rank tracker cannot show whether an answer names a client. Results also vary run to run, so we look at trends over many prompts, not single days.
How we run both on client programs
We run client work on Promptwatch, and the same workspace lets us keep SEO and AI data together.
Prompt research. Prompt Volumes give search volumes, difficulty scores and citation rates across AI search, Google and Bing. Prompt Explorer suggests prompts from Search Console, ranking keywords, People Also Ask or any page, which is how we move a keyword plan into a prompt plan. Query fan-outs per model show the sub-queries.
Citation analysis. Page and domain level citations, Page Tracker, offsite mentions and Reddit, YouTube and LinkedIn reports tell us which third-party sources to work on.
Search Insights. Google Search Console and Bing Webmaster traffic overlaid on AI crawls and citations. This is where a client sees SEO and AI search in one picture.
Crawler logs. Agent Analytics shows IP-verified AI crawler visits, with error tracking. Crawler logs start on Professional ($245 a month).
Content work. Content gap analysis shows coverage scores for prompts the site does not answer. Content Refresh suggests diff-style updates to existing pages, which is often a better first move than a new article. For clients on Business, the Content Agent can plan, write and publish on a schedule, with a review inbox. Publishing goes to WordPress, Webflow or Framer.
Prioritization. The Action Board produces a to-do list, and its Discovery agent suggests up to five evidence-backed actions a week.
Attribution. Visitor analytics attribute AI-referred traffic and conversions, so we can report AI search next to organic.
Explore is free (10 prompts, ChatGPT only), Essential $95 a month, Professional $245, Business $579, agency plans $199, $399 and $799.
A comparison we show clients
| Question | Traditional SEO | AI search optimization |
|---|---|---|
| What are we trying to win? | A position | A mention and citation in an answer |
| What do people type? | Keywords | Prompts, with sub-queries behind them |
| What do we edit? | Pages | Passages, pages and off-site presence |
| What do we report? | Rank, clicks | Visibility, citations, crawler access, AI referrals |
| How stable is it? | Slow-moving | Varies run to run |
Mistakes we see
- Abandoning SEO foundations. Crawl and index problems sink both.
- Chasing a single tactic. No formatting trick guarantees citation.
- Ignoring off-site sources. If the engines trust a review site that does not mention the client, the fix is outside the website.
- Reporting a single run. Variation makes one result meaningless.
- Promising rankings. Nobody can guarantee an AI recommendation.
Our order of work
We start with access and indexing. Then we build the prompt set and baseline. Then we map the sub-questions to pages and write or refresh the missing ones. Then we work on the third-party sources. Then we attribute and report. Each month we re-measure and adjust. It is SEO discipline pointed at a different target, with a measurement layer that classic tools do not provide.