SEO and GEO: How One Page Can Win Both

Most agencies talk about SEO and GEO, or Generative Engine Optimization, like they are two different jobs that need two different pieces of content. Our own data says otherwise.

Over the past 30 days, the Agence Minimal homepage generated 52,463 impressions and 157 clicks on Google. During the same period, it was picked up by AI models 73 times, with AI visibility trending up 148%.

Same page. No separate “AI version.” No parallel content strategy running underneath it. That is not a fluke. Three more pages from our own site show the same pattern.

Three different pages. Three different topics. Same pattern: strong on Google, and picked up by AI search on top of it.

If GEO and SEO truly needed separate playbooks, this pattern would be harder to explain. You would expect pages that win one channel and lose the other. Instead, the pages that perform best tend to share the same underlying traits: clear structure, specific answers, factual details, strong topical relevance and technical accessibility.

What to Know First

SEO and GEO are not identical, but they overlap more than most people think.

SEO helps a page rank in traditional search results. GEO helps a page become easier for AI systems like ChatGPT, Perplexity and Google AI Overviews to understand, retrieve and cite. The mechanisms are different, but the underlying goal is similar: answer a specific question clearly enough to be trusted.

A page that is clear, specific, current and technically accessible has a better chance of performing in both places.

That does not mean every SEO page will get cited by AI. It means the pages most likely to be cited by AI are often the same pages that were built with strong SEO discipline in the first place.

Two Different Systems, One Shared Mechanism

It helps to understand what is happening on each side.

Google still works through a familiar process: crawl a page, index it, evaluate it against a query, rank it based on relevance and authority signals, then show a results page where position matters. Whether you rank first or fourth can change traffic dramatically.

AI models work differently. When ChatGPT, Perplexity or Google AI Overviews answer a question, they retrieve information, break pages into usable passages, match those passages against the prompt and generate an answer that may cite or paraphrase the best supporting sources.

There is no traditional “position 4” in that experience. Either your content gets pulled into the answer, or it does not.

But here is where the two systems converge: both are trying to find the clearest, most relevant and most trustworthy answer to a question.

A page that states its answer plainly, supports it with checkable specifics and avoids burying the point under generic framing can perform well in both systems.

That is the real overlap between SEO and GEO.

Where SEO and GEO Still Differ

The overlap is real, but the differences matter.

Google still rewards backlinks, page experience, technical SEO, internal linking and long-term domain authority. These signals tend to compound slowly over time.

AI citation can be more format-sensitive. A new page with strong structure, clear definitions, comparison tables and extractable answers may get pulled into an AI answer faster than it climbs traditional organic rankings.

The takeaway is simple: GEO is not a replacement for SEO. It is an additional layer on top of strong SEO fundamentals.

What These Pages Actually Have in Common

The pages performing across both Google and AI search are not magic. They share structural traits you can check directly on the page.

1. The Headline States the Exact Question Someone Is Asking

Strong pages do not hide behind vague titles like “Our Services” or “Digital Marketing Solutions.”

They use titles that mirror how a real person would ask the question.

For example, “Best Branding Agencies in Montreal” answers the search before the reader even opens the article. There is no interpretation layer for Google, ChatGPT or Perplexity to work through.

The title is already the question.

2. The Page Is Specific by City and Category

A generic “marketing agency Quebec” page competes with too many pages and satisfies no exact question.

A page about “Best Web Design Agencies in Montreal” is much easier to understand. It has one city, one category and one search intent.

That precision matters.

Both Google and AI retrieval systems reward relevance. A page that tries to cover every service, every location and every buyer type often becomes too broad to be the best answer to any one query.

3. The Content Includes Named, Checkable Specifics

Pages that get cited include real names, real criteria, real differentiators, dates, numbers and comparisons.

Generic phrases like “leading solutions” or “innovative strategy” rarely help. They are too vague to extract as facts.

A comparison table, ranked list or criteria-based breakdown gives AI systems something concrete to retrieve and cite.

The second version is not less human. It is simply more useful.

4. The Page Has a Visible Freshness Signal

A visible year like “2026” is not decoration.

It tells readers and search systems that the page is current. This matters especially for agency comparisons, pricing guides, AI search topics and marketing trends, where the information changes quickly.

A stale page creates doubt. A clearly updated page reduces it.

5. The Format Does Double Duty

A well-structured list, comparison table or FAQ can serve both Google and AI search.

For Google, it helps match search intent, support featured snippets and improve readability. For AI systems, it creates passages that are easier to retrieve, summarize and cite.

That is the main point: you are not writing two separate pieces of content. You are writing one page structured so both systems can use it.

What That Looks Like Rewritten Line by Line

Here is the kind of generic copy that appears on many agency websites:

“We offer leading, innovative digital marketing solutions tailored to your business needs. Our team of experts is dedicated to helping you succeed in today’s competitive landscape.”

Nothing in that sentence is checkable.

No AI system can extract a meaningful fact from it because nearly every word could apply to any agency in any market. It does not answer a real question either. It creates a mood, not an answer.

Now compare that with a more specific version:

“Agence Minimal has helped Quebec businesses with SEO, SEM, web strategy and AI visibility since 2006. The agency works with more than 50 active clients and operates from its Saint-Henri studio in Montreal, with a second studio in Limoilou, Quebec City.”

The claim is similar: the agency is experienced and capable.

But now it includes a date, locations, services and client volume. Those details can be understood, verified and cited. The first version cannot.

That is the difference between marketing copy and source-ready content.

The Technical Layer Most People Skip

Content structure is necessary, but it is not the whole story.

There is also a technical layer that determines whether search engines and AI crawlers can access, parse and understand the page cleanly.

Three elements matter here: robots.txt, llms.txt and schema markup.

robots.txt

robots.txt is the first gate.

If crawlers such as GPTBot, PerplexityBot, ClaudeBot or Googlebot are blocked from important content, the rest of the strategy becomes weaker. The page may be well written, but the system cannot properly access it.

That does not mean every AI crawler must always be allowed. Some companies may have legal, privacy or training-policy reasons to restrict access. But for a marketing site that wants visibility, blocking major discovery crawlers should be a deliberate decision, not an accident.

llms.txt

llms.txt is a newer convention.

It is a plain-text file, usually placed at the root of a domain, that gives AI systems and agents a curated map of the site’s most important content.

It is important not to oversell it. llms.txt is not a formal ranking factor. Major AI platforms have not universally confirmed that it improves citations. Recent research also suggests many AI crawlers barely fetch it compared with standard sitemaps.

Still, it is low-cost, readable and useful as an orientation layer. Chrome Lighthouse now treats it as an optional agent-readiness convention, not a requirement.

Used properly, llms.txt should support a site that is already crawlable, structured and useful. It should not be treated as a shortcut.

Sources:
Chrome for Developers — llms.txt
Ahrefs — What Is llms.txt, and Should You Care About It?
LovedByAI — What Is llms.txt, and Do AI Crawlers Read It?

Schema.org Markup

Schema.org markup adds machine-readable meaning to visible content.

For example, it can identify an organization, a local business, a service, a rating, a FAQ or a web page. This helps search systems understand what a page contains without relying only on prose.

Schema does not replace good writing. But it can make facts easier to interpret.

A page with clear content and accurate structured data gives both search engines and AI systems a cleaner signal than a page with vague copy and no machine-readable context.

The Pattern Holds Beyond Our Own Site

The same pattern appears across the broader competitive landscape.

Directory sites such as Clutch, Sortlist and helloDarwin often perform well in AI citations because their pages are structured, comparison-based and city-specific. Their content is easy to understand: a category, a location, a list of options and criteria for comparison.

That format is useful for both humans and AI systems.

Among agencies themselves, the pages that get cited are rarely generic “About us” or “Services” pages. They are usually structured resources: agency roundups, pricing guides, comparison articles, checklists, research pieces and explainers.

This is the important lesson: the format often wins before the brand does.

A large marketing budget does not automatically make a page easier to cite. A clear, specific, well-structured page often has the advantage.

How to Audit a Page You Already Have

Before writing something new, audit what is already live.

Start with content, then move to the technical layer.

1. Read only the H1 and the first two sentences. Can you extract a direct answer from that alone?
2. Search the page for a specific name, number, date, location or comparison. If the only specific is your company name, the page may be too vague.
3. Compare the title with how someone would actually phrase the question. “Best branding agencies in Montreal” is clearer than “Our branding services.”
4. Check whether the page tries to cover too many cities, services or audiences at once. If it does, consider splitting it.
5. Visit yourdomain.com/robots.txt and confirm important crawlers are not accidentally blocked.
6. Check whether yourdomain.com/llms.txt exists. If not, it may be a quick addition, but not a substitute for real content.
7. View the page source and search for application/ld+json. That is where structured data usually appears.
8. Review internal links. Does the page connect to related services and articles?
9. Check whether the page has a visible update date or current-year signal.
10. Ask whether the page gives an AI system something factual enough to cite.

This audit usually reveals the same problem: the page is not bad, but it is not specific enough to become the best answer.

Checklist: What a Page Needs to Win in SEO and GEO

If you are deciding what to publish next, run the page through this checklist.

If a page cannot check most of these boxes, it will likely underperform in both SEO and GEO.

What This Means for Content Strategy

The lesson is not “write for AI.”

The lesson is to write pages that answer real questions clearly.

A strong SEO and GEO page usually has:

• A specific title
• A direct answer near the top
• One clear search intent
• Concrete details
• Comparison structure when relevant
• Internal links to related pages
• FAQ sections based on real questions
• Current-year freshness
• Crawlable content
• Accurate schema markup

That is not a trick. It is simply better content architecture.

The pages that win in Google and get cited by ChatGPT are not usually the loudest pages. They are the clearest pages.

How Agence Minimal Applies This

Agence Minimal does not treat SEO and GEO as separate content silos.

Our approach connects organic SEO, GEO optimization, content creation, paid campaigns and website strategy.

That matters because AI visibility is not created by one isolated blog post. It comes from the way the whole site explains the business, connects related topics and gives search systems a clear reason to trust the content.

The goal is not to produce more content. The goal is to produce pages that can answer one question better than the alternatives.

FAQ

Other Articles to Read

• Why Your Website Is Not Ready for AI Search
• Why ChatGPT Isn’t Recommending Your Business Yet
• Guide AEO 2026: How to Appear in ChatGPT, Perplexity and Google AI
• Is GEO the New SEO? What You Need to Know in 2026
• How to Measure the Performance of a Blog Article in 2026