SEO gets you found. GEO helps you get recommended.
Why your position in AI answers is a different business signal from your ranking, what that position actually means, and how to improve it without abandoning the SEO you already have.
· · By the Askwords team
Search used to hand a buyer a list of pages and let them decide. AI now reads across those pages and hands them an answer, a shortlist, or a single name. That creates a second visibility problem, sitting on top of the one you already manage.
“Here are ten pages that may help.”
“For your situation, choose these two.”
Your brand was not included.
The recommendation now happens before the click
Buyers still open sources and visit websites. But the generated answer increasingly decides which brands they investigate first, which product attributes they think matter, and which alternatives make their shortlist at all. A high-ranking page is still valuable. It simply does not guarantee your business is named in the synthesis above it.
There is no position eleven in an AI answer. Three to six brands are named, and the rest of the market is not mentioned, a much harder edge than page one and page two ever was.
GEO is an added outcome, not a replacement
Generative engine optimization (GEO) covers everything that makes a business easy for answer engines to understand, easy to back with evidence, and safe to name in an answer. It runs on exactly the same inputs as good SEO: crawlability, useful content, clear structure, relevance and authority.
Google says plainly that its core Search ranking and quality systems power its generative features, and that established SEO practice still applies. The expansion is in what you inspect, and in the evidence you may need that does not live on your own website.
| Dimension | SEO | GEO |
|---|---|---|
| Primary outcome | Visibility in the results, and qualified visits to your pages. | Accurate mentions, citations and recommendations inside the generated answer. |
| Unit you track | Keywords, pages, rankings, impressions, clicks. | Buyer questions, answer engines, position, citations, competitor slates. |
| What can win | A relevant, crawlable, useful page with the authority to rank. | Your site, a third-party page about you, or a broad pattern of consistent evidence. |
| The question it answers | Does our page rank for the topic? | When a buyer asks what to choose, does the answer say us, and why? |
| How fast it moves | Weeks to months, and mostly monotonic. | Weeks to months to shift genuinely, but noisy run to run. Confirm before you believe. |
Keep the SEO foundation
- Crawlable, indexable pages
- Helpful, people-first content
- Clear product and entity facts
- Relevant authority and trust
Then look past it. Third-party sources, reviews, mentions, brand consistency, answer-ready passages, and what the AI answer engines your buyers use actually recommend.
Your position tells you which gap you have
A single visibility percentage hides the most useful part of the result. Read the answer itself, its sources, and the ordered brand slate. Four positions lead to four entirely different conversations, and four different pieces of work.
You supplied the answer
The response links your domain, or an unmistakable page about your business. The buyer gets a path to verify the recommendation, and you get a specific page to defend.
You made the consideration set
The answer names you without citing you. You have the awareness; someone else’s page, a review, a directory, a roundup, is doing the describing, and their framing is the one the buyer reads.
You are known, but not led with
Your brand appears below the first recommendations. Usually a proof problem rather than a product one: competitors have clearer evidence, stronger category association, or better third-party validation.
Someone else owns the buyer moment
The answer leaves you out. The useful next question is not “how do we game the model?” but “what did the named brands prove that we did not?”
What you do not measure becomes someone else’s advantage
AI answers shape discovery even when they send no neatly attributable click. Monitoring only traffic and rankings misses the buyer who learned which brands to trust inside an answer, then arrived weeks later by a different route, or never arrived at all, because your name was not in it.
Demand capture
Are you present when an unbranded buyer asks what to choose?
Competitive context
Which competitors lead, and which sources are holding them there?
Message accuracy
Is AI describing your product, market and strengths correctly, or a version of you from two years ago?
The third one catches people out. You can be mentioned everywhere and still be losing, because the sentence attached to your name is sending the wrong buyer, or sending yours to a competitor.
Five steps, and one discipline
You do not need a hundred generic prompts. Start with a small, stable set of high-intent questions tied to the decision you want to influence.
- 1
Write down three buying questions
Questions a real customer asks while comparing options, not your brand name, and not a one-word category with no buyer in it.
- 2
Check more than one AI answer engine
Google AI Overviews, ChatGPT, AI Mode, Gemini and Perplexity return different brands and different sources for the same question. One answer engine is one opinion.
- 3
Inspect the evidence, not only the score
Record whether you were cited, mentioned, buried or absent. Then open the source links and note the competitor slate in order.
- 4
Close the highest-value gap
An answer-first page, clearer entity facts, stronger reviews, a third-party mention, local proof, or crawler access. One of them, done properly.
- 5
Repeat the same questions
A new set cannot show progress. Keep the wording frozen, re-check apparent changes on a different day, and act only on what holds.
The discipline is step five. Identical questions return different brand sets run to run. Same-day repeats often agree on only a third to a half of the names, so a change is worth believing only once it holds on a second day. Everything else is a coin flip with a chart attached.
Keep ranking. Start measuring the recommendation too.
Keep reading
Sources and further reading
- Google Search Central: Optimizing your website for generative AI features
- Google Search Central: AI features and your website
- Ahrefs: The complete AI visibility guide
Askwords measures a selected set of buyer questions against fresh answers from each engine. AI answers vary by model, time, context and personalization, so a check is evidence of the answers observed, not a universal judgement about a brand.