Is GEO just SEO? For the most part, yes, and it is fair to be skeptical. A common reaction among B2B marketing leaders is that anyone selling AEO or GEO as a separate service is selling SEO twice. That reaction is often correct. But a small set of things genuinely differ, and they matter when buyers ask ChatGPT, Perplexity, Gemini, or Google's AI features for a shortlist before they ever visit your site.
This article gives a straight answer: what overlaps, what is new, what is marketing language, and how to evaluate a vendor without paying for the same work twice. We sell this work, so read it with that bias in mind. We will be specific about where our own labels stop and evidence begins.
What GEO means, and why the term is contested
Generative engine optimization (GEO) is a working label for improving the public evidence that AI assistants use when they answer questions about your category and company. It is not a settled industry standard. Different vendors use GEO, AEO (answer engine optimization), AI SEO, and LLM optimization to mean overlapping things.
At Momentence we use AEO for making your own pages answer-ready and GEO for the third-party evidence layer and citation measurement. Those are our operating definitions, explained in more depth in our GEO vs AEO comparison. The useful question is not what to call the work. It is which tasks change outcomes and who owns them.
Where GEO and SEO are the same work
Most of what makes a company visible in AI answers is the same work that makes it visible in search. AI assistants that browse the web rely heavily on search indexes and on crawlable pages. If Google and Bing cannot reach and understand your site, AI systems that retrieve from the web usually cannot either.
- Crawl access. robots.txt rules, firewalls, and bot managers that block search or AI crawlers block both channels at once.
- Indexability. Server-rendered content, self-referencing canonicals, a current sitemap, and no accidental noindex tags.
- Clear answers. Pages that state a direct answer to a real buyer question near the top are easier to rank and easier to quote.
- Authority. Links and mentions from relevant, trusted sites help rankings and make a source more likely to be used.
- Original evidence. Data, benchmarks, and specific detail that other pages do not have give both search engines and assistants a reason to prefer you.
If an agency's GEO proposal is mostly this list, you are buying SEO. That may be exactly what you need. It just should not be priced as a second program.
What genuinely differs
Three things differ in practice: where the evidence lives, how consistency is judged, and how results are measured.
| Area | Classic SEO focus | Added GEO focus |
|---|---|---|
| Evidence location | Your own pages and links pointing to them | Third-party pages assistants cite: reviews, roundups, communities, publications |
| Consistency | On-site canonicals and duplicate content | Whether pricing, features, and positioning match across every public source |
| Measurement | Rankings, impressions, clicks | Observed citations and description accuracy for a fixed prompt set |
| Unit of success | A page ranking for a query | Your company being named and described correctly in an answer |
Third-party consistency is the most underrated piece. If your site says one price, a review profile shows an old one, and a comparison article describes a feature you retired, an assistant may describe you vaguely or wrongly. Fixing that is not classic on-page SEO, and it is often the fastest measurable change.
Earned mentions also matter differently. In SEO a mention without a link has limited value. For AI answers, being accurately named on a source an assistant reads can matter even without a link. Keep a clear line between earned mentions and paid or undisclosed placements; the second carries reputational risk and should always be disclosed.
What is mostly marketing language
Some GEO claims are not supported by public evidence, and buyers should discount them.
- Guaranteed citations or placement. No vendor controls AI answers, which vary by prompt, user, location, and time.
- "Control how AI describes your brand." You can improve the public evidence assistants use. You cannot control the output.
- Schema or llms.txt as the main lever. There is no public evidence that either directly causes citations. Structured data helps search engines parse pages; llms.txt is an optional, low-cost experiment.
- Single screenshots as proof. One good answer on one day proves little. Trends across a tracked prompt set are the honest measure.
How to tell if a vendor is selling you SEO twice
The simplest test is to ask for a written split of shared versus GEO-specific work. A credible partner can answer each of these questions in writing before you sign.
- Which deliverables are shared with SEO, and which are GEO-specific?
- What prompt set will you track, how many prompts, and across which assistants?
- How is the baseline measured, and how often is it rerun?
- Which third-party sources will you audit and work to correct?
- How do you separate earned mentions from paid placements in reporting?
- Who owns the work if we already have an SEO team or agency?
If the GEO deliverables match a standard technical audit and content calendar, the work is repackaged. If the vendor cannot name a prompt set or baseline method, they cannot show you whether anything changed. Our guide on AI visibility metrics publishes the definitions we use, so you can hold any vendor, including us, to them.
A worked example of one program instead of two
Illustrative example, not a client result. A B2B SaaS company at roughly $8M ARR receives two proposals: an SEO retainer and a separate GEO retainer. Laid side by side, both include a technical crawl audit, a content gap analysis, and monthly reporting. Roughly half of the GEO scope repeats the SEO scope.
Run as one program, the same budget covers a single technical audit that checks search and AI crawlers together, one content plan where every page opens with a quotable answer, a third-party consistency pass across review sites and directories, and a tracked set of 30 buyer prompts reported monthly alongside rankings and pipeline. The company pays for the shared foundation once and spends the difference on the parts that are genuinely new.
The metrics to watch, in order: description accuracy on capability prompts (usually the first to move), citation share on category prompts, then AI referral visits and demo requests tied to those visits.
Common mistakes when buying GEO
- Hiring separate SEO and GEO vendors with no shared owner or plan.
- Skipping the crawl access check and paying for content nobody can reach.
- Accepting citation guarantees as a selling point.
- Measuring by screenshots instead of a fixed, rerun prompt set.
- Ignoring outdated third-party profiles while publishing more blog posts.
- Counting paid placements as earned authority.
Where this fits in a growth system
Search and AI discovery work best as one program tied to pipeline, not two tactics reported on separate dashboards. That is how we scope it: our GEO service and AEO service sit inside the same plan as SEO, content, and measurement, with published pricing and clear inclusion limits. For the full sequence, see the SEO, AEO, and GEO guide.
Conclusion and next step
GEO is mostly SEO, with three real additions: third-party consistency, earned mentions on sources assistants cite, and honest measurement of observed citations. Buy the shared foundation once, insist on a written split for anything new, and judge the work on trends over quarters. The first step costs nothing: check whether AI and search crawlers can reach your site at all.