Local and service businesses
Get facts right everywhere: name, services, area, hours. Then earn reviews. Engines repeat what independent sources agree on.
The short answerSEO earns a position for your page in a list of search results. GEO makes your content easy for an AI engine to use inside a generated answer, where success is a mention, a citation, or a recommendation. Most of the work is shared, because a page has to be crawlable, indexed, and genuinely useful for both. GEO adds answer clarity, evidence, entity consistency, and third-party corroboration.
Most arguments about SEO versus GEO come from using one word for different outcomes. Separate them first, then the strategy gets clearer.
Where a URL sits in a list of classic search results.
Cause: relevance, quality, links, technical health.
An AI answer names your brand in its text, with no link.
Cause: what the web broadly says about you.
An AI answer attaches your page as a linked source.
Cause: your page answers the question clearly, with evidence.
An AI answer explicitly suggests you as a choice.
Cause: strong fit plus corroboration from independent sources.
Each outcome can happen without the others. A page can rank first and never be cited; a brand can be recommended from a page that ranks nowhere.
A working comparison. Treat the GEO column as a model of current behavior that can change as products change.
| SEO | GEO | |
|---|---|---|
| Unit of success | A URL ranked in a list | A brand or source used in a generated answer |
| Typical outcome | Position and click-through | Mention, citation, or recommendation |
| What the user sees | Ten-ish results to choose from | One synthesized answer, often with a few sources |
| Stability | Relatively stable between checks | Can vary between runs of the same prompt |
| How you measure | Rank tracking, Search Console, analytics | Sampled prompt tracking, referral traffic, answer review |
| Main levers | Relevance, content quality, links, technical health | The same, plus direct answers, evidence, entity clarity, outside corroboration |
| Failure mode | Page not indexed or outranked | Page not used, or brand described wrongly |
Google says that the best practices for SEO remain relevant for AI features such as AI Overviews and AI Mode, that there are no additional technical requirements, and that a page needs to be indexed and eligible to appear with a snippet to be a supporting link (Google Search Central). That is a statement about Google's products, not every engine, but it points at the right default.
If your site is not crawlable, your pages are thin, or nobody trusts you, GEO tactics will not rescue you. Do the SEO foundation first.
Generated answers compress many sources into one response. That raises the value of passages that stand on their own: a direct answer under a descriptive heading, a table that compares, a definition that names the thing.
It also raises the value of corroboration. An engine that has to decide whether to name you will lean on whatever independent sources say about you. Research on generative engine optimization explores content strategies that change source visibility in generated answers (arXiv paper); read it as a source of ideas to test, not a recipe.
Finally, measurement changes. Because answers vary, a single check proves little. Sample repeatedly and compare against a baseline.
A rough order by business type. Adjust to your own data.
Get facts right everywhere: name, services, area, hours. Then earn reviews. Engines repeat what independent sources agree on.
Publish direct-answer pages for category, comparison, and pricing questions, with evidence. Track those prompts.
Keep strong SEO, add clear definitions and sourced facts, and check whether your pages are cited for your core topics.
Product data quality and review depth matter most. Make attributes explicit and comparison content genuinely useful.
Keep separate dashboards, or at least separate columns.
| Question | Where to look |
|---|---|
| Are we indexed and ranking for our core terms? | Search Console, rank tracking |
| Are AI answers citing us for our core prompts? | Sampled citation tracking in AI Citation Tracking |
| Are AI answers naming or recommending us? | Manual review of fixed, neutral questions; record exact answer, assistant/model, date, market, mention and recommendation separately |
| Are those answers accurate? | Read the stored answers; flag errors and fix the source pages |
| Is any of it sending visits? | Referral sources in analytics; do not assume a citation equals a visit |
Common ones you will see in the market.
The evidence in Google's own guidance is that SEO foundations still apply to its AI features.
Files like llms.txt are proposals, and no engine owes you a citation for having one. Do not rely on them in place of useful pages.
Scores summarize hygiene. Only sampled prompt results show what engines do.
Volume without information gain adds noise. Quality and originality still decide.
External references used on this page.
No. Google's documentation says SEO best practices remain relevant for its AI features. GEO is better understood as an extension: the same foundations plus attention to answer clarity, evidence, and entity consistency.
A mention is when an AI answer names your brand in text. A citation is when it attaches your page as a linked source. A recommendation is when the answer explicitly suggests you as the choice. They are separate outcomes with different causes.
No. Ranking and citation are different outcomes. Strong organic presence helps, but engines select sources by their own methods and answers vary between runs.
Usually not. You need pages that answer questions directly, support claims with sources, and use consistent names. Those edits tend to help readers and classic search too.
Sample a fixed set of prompts on a schedule, classify each answer as absent, mentioned, cited, or recommended, and compare against a baseline. Also check referral traffic in analytics.
No. Tools can measure sampled visibility and help you fix gaps. Anyone promising guaranteed citations or recommendations is overclaiming.
Start with a citation baseline in RankZoro, then manually review the same neutral questions for brand mentions and explicit recommendations. Build the plan from evidence, not guesses.