GEO vs SEO: What Changes and What Stays the Same

A business owner types “best web design agency for a law firm” into ChatGPT. One written answer comes back with three agency names. Then she types the same question into Google and sees ten blue links, an AI summary and a map.

Two different results page types, one question.

So what is GEO vs SEO, and which one needs the budget? The short version is that GEO sits on top of SEO. Most of the work is shared, and a small part is new. This guide shows which is which.

Quick answer

SEO gets a page found and ranked in a list of search results. GEO (generative engine optimization) gets a business named and cited inside the written answers that AI tools produce.

The foundation is shared: crawlable, useful, trusted pages. GEO adds clear, quotable passages, consistent facts about the business, and a presence on sites beyond its own.

This guide covers:

• what each term means and how they relate
• a side-by-side comparison
• what stays the same and what changes
• what the data says about rankings and AI citations
• how to combine the two, measure them and avoid common mistakes

Where a claim comes from research, the source is linked. Where it is practical advice, it is labelled as advice.

What is GEO vs SEO, in one minute?

SEO, or search engine optimization, is the work of making a website easy to find, understand and trust, so it earns a place in search results. The reader sees a list and chooses a link.

Success is measured in rankings, clicks and the leads those clicks produce.

GEO, or generative engine optimization, is the work of getting a business included in answers that AI tools write. ChatGPT, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews and Google AI Mode all work this way. The reader gets one answer, with some sources.

For a full definition, see what GEO is.

The two share a base. An AI tool that cannot find or read a page cannot use it. A page that nobody trusts is rarely quoted. That is why the sensible order is SEO first, then GEO on top.

What is GEO in SEO?

GEO is not a section of the SEO toolbox, and it is not a separate replacement either. It is a newer name for the part of search work that targets AI-written answers. Some people file it under SEO. Others treat it as its own discipline.

The naming is still unsettled. AEO (answer engine optimization), AI SEO, LLMO and AIO are all in use for overlapping work. Google’s own guidance on its AI features says standard SEO practice applies to them.

For the buyer, the label matters less than the work behind it.

Why the question keeps coming up

Search results now come in two shapes. Pew Research tracked 900 US adults on Google in March 2025. When an AI summary appeared, people clicked a regular result link in 8% of visits. Without one, they clicked in 15%.

That is one study, limited to Google, so it is a signal rather than a forecast.

If attention moves toward written answers, being named in them matters more. That is the whole reason GEO exists as a term.

GEO vs SEO side by side

The table below compares the two across the points that matter in practice. It simplifies. Real search behavior is a mix, and one page often serves both.

	SEO	GEO
Goal	Rank pages in search results	Get named or cited in AI answers
What the reader sees	A list of links	One written answer, with some sources
Unit that competes	The whole page	A single passage or fact within a page
Typical query	Short keywords, such as “web design agency Chicago”	Longer, conversational questions with context
Main signals	Relevance, content quality, links, technical health, usability	The same base, plus clear passages, consistent facts and mentions across the web
Success measure	Rankings, clicks, leads	Whether the business is named, how often, and what is said
Stability of results	Rankings move, but slowly	Answers can differ from one run to the next
Where it plays out	Google and Bing results	ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, AI Mode
Shared ground	Crawlable, useful, well-built pages	The same pages

How does GEO differ from traditional SEO?

Five differences show up again and again. Each is explained below, along with how much of it is settled.

The goal changes from a position to a mention. A results page has a first spot and a tenth spot. A written answer has no page two. The business is named, cited, or missing.

A prospect who asks for a recommendation often sees only a short list.

The unit changes from a page to a passage. Search engines rank documents. AI tools that retrieve live sources pull out individual passages and combine them. A page can be strong overall and still have no paragraph that answers a question cleanly.

For GEO, the best paragraph on the page is what competes.

The query changes shape. People type keywords into a search box. They write full questions to a chatbot, often with details about budget, location or situation. That favors pages that answer a specific question directly, and it is one reason FAQ-style content gets attention.

The signals widen. Links and page quality still matter. Beyond them, AI tools draw on how a business is described across the wider web: its own pages, reviews, directories, forums and press.

Semrush’s analysis of AI visibility, published on Search Engine Land, found that platforms differ in the sources they favor. That analysis comes from a vendor that sells visibility tools, so it deserves some caution.

The measurement changes. A rank tracker reports a position. AI answers vary between runs, so one check proves little. SparkToro’s study, covered by Search Engine Land in January 2026, ran 12 prompts about 3,000 times with around 600 volunteers.

Lists of brands almost never repeated in the same order. Some brands still appeared in 60% to 90% of responses. Visibility is better described as an appearance rate than a rank.

[IMAGE 2: Diagram of the unit change, a whole page on the left and a highlighted single passage on the right being lifted into a written answer]

One question, two outcomes: a worked example

A made-up example shows how the two channels treat the same business. It is illustrative, not real data. “Summit Dental” is a fictional clinic with a decent website and a solid set of Google rankings.

What SEO sees

The clinic ranks on page one for “dentist in Denver” and “emergency dentist Denver”. Traffic is steady. Calls come in from the map listing and the service pages. A rank tracker shows green across the board, and the monthly report looks healthy.

What GEO sees

A prospect types a longer question into an AI tool: “Which Denver dentists take new patients on weekends and treat anxious adults?” The answer names three clinics. Summit Dental is not one of them.

A check of its pages shows why. The weekend hours sit in an image on the contact page. The services page never mentions anxious patients. The clinic has few reviews outside Google. No sentence anywhere says, in plain words, who the clinic serves.

What the fix looks like

None of the fixes is exotic:

• Put weekend hours in text on the contact page and the homepage.
• Add a short section on care for anxious adults, written as a direct answer to that question.
• State in one paragraph what the clinic does, where, and for whom.
• Ask patients for reviews on the other platforms the area uses.

Every item helps classic search too. That is the practical meaning of “GEO sits on top of SEO”. The new work is mostly clarity and consistency, with a handful of additions.

What stays the same

Most of the work is shared. This is the part business owners often miss, because the new vocabulary suggests a new job. It is mostly the same job with a few additions.

Pages must be crawlable and indexable

Google’s guidance on AI features states that a page must be indexed and eligible to show with a snippet before it can appear in AI Overviews or AI Mode. No special markup is needed, and no special AI text file.

A site that blocks crawlers, hides content behind scripts or loads too slowly has a problem for both channels.

This also applies beyond Google. Other AI tools run their own crawlers and search partners, and their requirements differ. Basic crawl access and readable text are still the safest shared starting point.

A policy on which AI crawlers to allow is worth writing down, since site owners can control that.

Useful content wins in both

Thin, generic pages do poorly in classic search and give AI tools nothing worth quoting. A page that answers a real question completely, with specific detail, does well in both. The original 2023 GEO research paper tested nine content changes.

Adding quotes, statistics and cited sources helped most. Keyword stuffing scored below the baseline.

That result points to content quality, which is the same advice good SEO has always given. The paper ran in a lab setup, not in live ChatGPT, so it shows direction rather than a promise.

Trust and expertise matter in both

Search engines reward pages from credible sources with clear authorship. AI tools lean on sources that look reliable, and a claim backed by a named source is easier to repeat.

A real author, real credentials, real customer evidence and an accurate About page serve both goals.

Technical health and good design still count

Speed, mobile usability, clean structure and sensible navigation help readers and crawlers. They also affect whether text can be extracted cleanly. The link between design and search results is covered in how web design affects SEO.

Google’s own position

Google has said in public that its AI search features rest on the same fundamentals as regular search. Its documentation says standard SEO practices apply. Trade press has reported Google staff telling marketers that good SEO is largely enough for AI search.

A Search Engine Land guide argues that treating the two as rivals is the wrong frame.

That does not mean nothing changes. It means a business with weak SEO should not expect a GEO tactic to make up the difference.

What changes with GEO

The additions are real but narrower than the headlines suggest. They fall into four areas.

Passage-level clarity

Each important question gets a self-contained answer near the top of its section. The first sentence under a heading states the answer. The next sentences add detail, a source or an example.

Pronouns that depend on earlier paragraphs are avoided, so the passage still makes sense when lifted out alone.

This is advice drawn from how retrieval systems work, not a published standard. It also helps human readers who skim.

Entity clarity

An entity is a distinct thing a system can recognize, such as a business, a person or a product. AI tools can describe a business accurately only when its facts agree across the web.

The same name, the same services, the same location and the same description should appear everywhere.

A quick self-test is to ask an AI tool, “What does [business name] do and who is it for?” A wrong or empty answer shows where the facts are missing or inconsistent.

Presence beyond the website

Semrush’s guide on Search Engine Land notes that AI answers often cite forums, video sites and review platforms alongside company sites. Backlinko’s guide reports similar patterns. Both are vendors, so treat the specifics as indicative.

The practical point is that a business with no mentions anywhere except its own site gives an AI tool little to work with.

For most small service businesses, this means accurate profiles on the directories its buyers use, real reviews, and genuine participation where its buyers ask questions.

New measurement habits

Tracking appearances across repeated runs of buyer questions is new for most teams. So is reading Google’s newer reports.

In June 2026 Google added generative AI performance reports to Search Console, which, according to PPC Land’s coverage, show impressions and pages for AI features but not clicks. The details came from secondary coverage, so check them in Search Console directly.

What does not belong in the list

Several tactics get sold as essential GEO work with little support. A special llms.txt file is the most common example. It is a proposed convention, and Google’s guidance says no new files are needed for its own AI features.

No evidence reviewed for this article shows it reliably increases citations. Schema markup helps search engines understand a page, but Backlinko’s guide states that it does not unlock AI citations on its own.

Both can be harmless to add. Neither should come before the basics.

How closely do AI citations follow Google rankings?

This is the most useful evidence for deciding how to split effort. It has also changed over time, so the dates matter.

The early picture: most citations came from top results

In July 2025, Ahrefs studied about 1.9 million citations from roughly one million Google AI Overviews. It looked at the top three citations only. About 76% of the cited pages ranked in Google’s top 10 for the same query.

Around 9.5% ranked between positions 11 and 100, and about 14.4% ranked lower or not at all. The median cited positions were 2, 4 and 5.

At that point, ranking well was closely tied to being cited. Ahrefs published the study and notes its limits, including that it covers one Google feature.

The later picture: overlap fell

In March 2026, Ahrefs published an updated analysis, reported by Search Engine Journal. It covered 863,000 keywords and about 4 million AI Overview URLs. This time only about 38% of cited pages came from the top 10.

About 31% came from positions 11 to 100, and about 31% from beyond 100.

Two cautions apply. Ahrefs said better parsing may explain part of the drop, so the two datasets are not directly comparable. It also suggested that query fan-out, where an AI tool runs several related searches behind one question, may play a larger role.

Google has not confirmed that. A separate BrightEdge analysis found around 17% overlap, but it used a different method. The Search Engine Journal report lays out the detail.

Other AI tools behave differently

A different Ahrefs study, from September 2025, compared 3,311 head queries across Google and other AI tools. Perplexity’s cited URLs matched Google’s top 10 about 65% of the time. ChatGPT’s matched about 10%.

At the domain level, the figures were about 81% for Perplexity and about 32% for ChatGPT. The study is public, and it measures overlap with Google only. It does not explain why the tools differ.

Why query fan-out matters

Query fan-out is the habit some AI tools have of turning one question into several related searches. A question like “best CRM for a small plumbing company” might become searches for CRM features, plumbing software, pricing and reviews. The tool then combines what it finds.

This helps explain why cited pages do not always match the top results for the original question. A page can rank well for one of the hidden searches and never appear for the visible one.

Ahrefs raised this as a possible reason for the lower overlap, and Google has not confirmed how it works in detail.

For a business, the lesson is practical. Pages that cover a topic from several angles, with clear answers to the follow-up questions, have more chances to be picked up. That fits normal topic cluster planning in SEO.

Why the tool matters

The September 2025 data shows that “AI search” is not one thing. A business that is cited by Perplexity may not appear in ChatGPT. A page that Google ranks first may be missing from both. Google’s own AI features also have their own eligibility rules.

Testing in more than one tool is therefore part of the job. It also argues against any single tactic promised to work “for AI” as a whole.

What the data supports

Reading the studies together, a few conclusions hold up:

• Ranking in Google is linked to being cited, but the link is looser than it was reported to be in 2025.
• Different AI tools lean on Google to very different degrees.
• Pages outside the top 10 can still be cited, which leaves room for strong passages and strong sources.
• No study reviewed shows that ranking guarantees a citation, or that a citation requires ranking.

In short, SEO is a strong base and not a guarantee. GEO work fills in the part that rankings do not decide.

How to integrate GEO with SEO

The sequence below works for a small business or a marketing lead with limited time. It is practical advice, built from the evidence above. Each step uses the SEO work already in place.

1. Check the SEO foundation first

Confirm that key pages are indexed, load quickly and work on mobile. Fix broken links, duplicate pages and thin content. If rankings and leads are not coming yet, start with why SEO often is not working. Layering GEO onto a weak base wastes effort.

2. List the questions buyers ask

Write down 15 to 25 real questions: what prospects ask on calls, what appears in emails, and what shows up in search suggestions. Mix broad questions with specific ones that include a location, a budget or a situation.

These feed both a keyword plan and a prompt list for testing.

3. Give each question a direct answer

Put the answer in the first sentence under a question-style heading. Add detail below it. Keep paragraphs short and free of references like “as mentioned above”. This is the single most useful change, and it costs only editing time.

4. Add specific, sourced proof

Replace vague claims with a number, a named source, a customer outcome or a quote. “Fast turnaround” says little. A stated timeline with real examples says more. The 2023 research found that sourced statistics and quotes helped most.

5. State the business clearly and consistently

Write one citable paragraph that says what the business does, who it serves and where. Use the same wording on the homepage, the About page, social profiles and directory listings. Check that the name, address, phone number and service descriptions match everywhere.

6. Build presence where buyers look

Claim and complete profiles on the directories and review sites in the industry. Ask satisfied customers for honest reviews. Contribute useful answers in the forums and communities where prospects ask questions, without pushing a pitch. This builds the mentions AI tools may draw on.

7. Measure both channels on a schedule

Track rankings, organic traffic and leads as before. Add a monthly check of five to ten buyer questions in the main AI tools. The measurement section below shows how.

8. Keep the content fresh

Review the key pages every quarter. Update prices, dates, statistics and examples. A page with outdated facts hurts both channels, and an AI tool may repeat the old fact.

The two channels need different instruments. Using one in place of the other produces misleading numbers.

How to measure GEO and SEO together

What to track	SEO	GEO
Visibility	Rankings for target keywords	Appearance rate for buyer questions across repeated runs
Traffic	Organic sessions in GA4	Referral sessions from AI tools, where they show up
Search Console	Queries, clicks, impressions	Generative AI impressions and pages, where available
Quality	Leads and conversions from organic	Accuracy of what AI tools say about the business
Brand	Branded search volume	Branded search volume and direct visits
Competition	Competitor rankings	Which competitors are named, and with what wording

Run a simple prompt log

Pick five to ten buyer questions. Run each one in ChatGPT, Gemini, Perplexity and Google. Use a fresh chat each time, since history can shape answers. Repeat each question a few times, because a single run proves little.

Record whether the business was named, which competitors were named, which sources were cited, and whether the facts were accurate. Calculate an appearance rate, such as 3 of 5 runs. Watch for patterns over months rather than reacting to a single result.

Read the numbers with care

AI referral traffic can be hard to see in analytics, and many answers are read without any click at all. A drop in clicks does not always mean lost visibility. A rise in branded searches or direct visits sometimes follows a good AI mention.

These links are hard to prove, so treat them as clues.

For lead generation businesses, ask new leads how they found the business. Add that question to the contact form. It captures influence that analytics miss.

Pick a monthly routine

A workable routine takes about two hours. Review rankings and Search Console, rerun the prompt log, check three competitors’ answers, and update one page that is losing ground. Keep a short change log, so cause and effect can be traced later.

A 30-day starting plan

A month is enough to cover the shared basics and set up measurement. The plan below is practical advice, built for a small team. Results take longer to show.

Week 1: audit

Check indexing, crawl access, speed and mobile layout on the ten most important pages. Run the entity self-test on an AI tool. Build the list of 15 to 25 buyer questions.

Record the starting rankings and the first prompt log, so later changes have a baseline.

Week 2: fix the main pages

Rewrite the homepage and the top service page so each question has a direct answer under its heading. Move key facts out of images and sliders into text. Add one sourced statistic or customer outcome to each page.

Write the single paragraph that states what the business does and for whom.

Week 3: close the gaps

Pick three questions from the list that have no good page yet and write them up as short, complete articles or FAQ entries. Complete the profiles on the main directories. Make sure the business details match across every listing. Send review requests to recent customers.

Week 4: measure and decide

Rerun the prompt log and compare it to the baseline. Check Search Console for any change in impressions. Note which pages gained and which did not. Decide on the next month’s work from the data, not from guesses.

Expect small movements at this stage, since indexing and reviews take time.

Common mistakes when combining GEO and SEO

Several errors appear often in guides and sales pitches. Each one wastes money or time.

Treating GEO as a replacement for SEO. The shared base means dropping SEO weakens GEO as well. This is the most expensive error.

Buying a separate service for each label. AEO, GEO and AI SEO overlap heavily. A proposal that prices them as unrelated services deserves a second look.

Chasing tricks. Hidden text, keyword stuffing and manipulated prompts either do nothing or backfire. The 2023 research found keyword stuffing scored below the baseline.

Promising guaranteed mentions. Nobody controls what ChatGPT says. Even Google states that following its guidance does not guarantee a page is crawled, indexed or shown. A guarantee is a warning sign.

Skipping the basics for new files and markup. An llms.txt file or extra schema before fixing thin pages is effort spent in the wrong order.

Measuring once. One screenshot of a good AI answer is an anecdote. Appearance rates over repeated runs are the more reliable measure.

Ignoring accuracy. A business that is mentioned with wrong prices, wrong services or wrong locations gains little. Fixing the source facts is part of the job.

Neglecting off-site presence. A business with a strong site but no reviews, listings or mentions elsewhere gives AI tools thin material.

Which should a business prioritize?

The right mix depends on the starting point. The table below is practical advice, not a study result.

Situation	Priority
New site, no rankings yet	SEO foundation first, with direct answers written in from the start
Ranking well, few leads	Fix conversion and page clarity, then test AI answers
Ranking well, absent from AI answers	Passage clarity, consistent facts and off-site mentions
Local service business	Local SEO and reviews first, since AI tools often draw on them
Buyers research with AI tools	Add GEO measurement early and track appearance rates
Small team, tight budget	Shared work only: clear pages, direct answers, sourced proof

How to divide the effort

A rough split works for most small businesses, based on practical experience rather than a study. Put most of the effort into the shared base: technical health, useful pages, and clear answers.

Reserve a smaller share for GEO-specific work such as off-site mentions and prompt testing.

As the base improves and AI tools matter more to buyers, the share can shift. A fixed ratio would be false precision. The prompt log is what shows whether the shift is needed.

For agencies and marketing leads, the same table helps frame client conversations. The shared work is billable once and pays off twice. The GEO-specific work is small enough that it rarely needs its own large budget.

FAQs