You publish a blog. You optimize the keywords. You add internal links, write a decent meta description, and hit publish.
A few weeks later, the page starts getting impressions on Google. But when someone asks ChatGPT for recommendations in your industry, your business is nowhere to be found.
Sound familiar?
Here's the problem: getting found in search and getting referenced by AI are related goals, but they aren't exactly the same thing.
Google rankings can bring people to your website. AI-generated answers can introduce your brand before someone even visits a website. And as customers move between Google, ChatGPT, Claude, and other discovery tools, businesses need content that works across these experiences.
The answer isn't to abandon SEO or fill your website with AI-generated articles.
It's to create content that answers real questions, demonstrates expertise, provides something useful, and gives search systems clear information to work with.
Let's break down how to do that.
First, Stop Treating SEO and AI Search as Two Separate Games
For years, content marketing followed a familiar routine: find a keyword, study the competition, write an article, optimize the page, and try to rank.
That foundation still matters. But search behavior is expanding.
Someone researching a service might search Google, ask ChatGPT to compare providers, use Claude to explore a complicated topic, and return to Google to verify a recommendation.
Your content needs to support that journey.
This is where SEO vs GEO becomes an important conversation.
Search engine optimization (SEO) focuses on helping search engines discover, understand, and rank your content.
Generative engine optimization (GEO) focuses on improving the usefulness, clarity, and credibility of your content so it can potentially be referenced in AI-generated responses.
Answer engine optimization (AEO) puts additional emphasis on providing direct, clear answers to specific questions.
These approaches overlap. They aren't competing strategies.
A well-researched article can rank in traditional search, answer a customer's question, and potentially become a source for an AI-generated response.
The goal is to build one strong resource that serves all three purposes.
The Real Problem: Most Content Gives People Nothing New
Search for almost any marketing topic and you'll find dozens of articles making the same points.
Create helpful content. Use relevant keywords. Build backlinks. Optimize your website.
All good advice.
But if every article says the same thing, why should a reader choose yours? And what makes your page a particularly useful source for an AI-generated answer?
The opportunity is to go beyond repeating accepted advice.
Imagine you're writing about how to rank in ChatGPT.
A generic article might tell readers to publish high-quality content, build authority, and improve SEO.
A more useful article would explain how to test whether a business appears in AI responses, distinguish brand mentions from actual website citations, document which sources are referenced, and track changes over time.
The second article gives readers something they can do.
That's the difference between covering a topic and genuinely helping someone understand it.
Before writing any article, ask yourself: What will the reader be able to do after reading this that they couldn't do before?
If you don't have a clear answer, the content brief needs more work.
The Five-Step Process for Creating Content That Works Across Search
Step 1: Start With the Question, Not the Keyword
A keyword tells you what someone might be searching for. It doesn't always tell you what they need to know.
Take the phrase AI search optimization.
Behind that search could be several different intentions:
A business owner wants to understand what AI search optimization means.
A marketing manager wants to know how to implement it.
A founder wants to know whether their business appears in ChatGPT.
A company is comparing agencies that offer AI search services.
An SEO professional wants to understand the difference between GEO and traditional SEO.
These people don't need the same article.
Before writing, identify the primary question your page should answer. Then map the related questions a reader is likely to ask next.
Use Google search results, customer conversations, sales questions, relevant forums, and AI search tools to discover those questions.
You can use ChatGPT or Claude to brainstorm potential follow-up questions, but validate them against actual customer needs and relevant search results.
The objective isn't to include every possible question.
It's to answer the questions that matter most to your audience.
Step 2: Find the Information Gap Competitors Have Missed
Once you understand the question, study the content already available.
Don't just look at word counts or heading structures. Look at what the existing pages actually deliver.
Are they making unsupported claims? Are they repeating the same advice? Are they missing practical examples? Do they explain how to measure results? Are they overlooking important limitations?
Those gaps give you direction.
For example, an article about how to get cited by AI / AI Overviews becomes much more useful when it explains that a brand mention and a website citation are different outcomes.
A tool might mention your company without linking to your website. It might cite your article without recommending your services. It might not mention your brand at all.
Understanding those differences helps readers measure the right things.
You don't need a completely new idea nobody has ever discussed.
You need a meaningful contribution that makes your article more useful than a generic summary of existing advice.
Step 3: Give the Answer Before the Long Explanation
Here's a small writing change that can make a significant difference to readability.
Don't make readers work through five paragraphs before they find the answer to the question in your heading.
If your heading is:
How do you improve AI visibility?
Start with a direct response:
"To improve AI visibility, publish accurate and useful content, demonstrate relevant expertise, maintain a consistent online presence, and make important information easy to find and understand. These practices support discoverability, but no technique guarantees that an AI system will mention or cite your business."
Now the reader has the answer.
You can follow with the reasoning, examples, evidence, and practical steps.
For important sections, a concise opening answer of roughly 40–60 words can be a useful editorial guideline. It isn't a Google ranking factor or a guaranteed citation formula. Some answers need fewer words; others need more explanation.
The real principle is simple: make your content easy to understand before making it comprehensive.
This is one practical application of answer engine optimization (AEO). It improves the reading experience while giving search systems a clear explanation of the topic.
Step 4: Add Something Original
This is where a lot of AI-related content falls short.
An article can be grammatically perfect, well structured, and keyword optimized while still offering very little original value.
You need evidence, experience, or a useful demonstration.
Depending on your industry, that could mean:
A real client case study.
An original comparison of available solutions.
A documented experiment.
A survey of your customers.
An expert's explanation of a complicated decision.
A worked example showing how to apply a recommendation.
A transparent analysis of your own results.
Consider this topic itself.
Instead of merely telling readers that AI citations matter, Bexcode could test 20 realistic customer questions across four available AI search experiences and record whether the company is mentioned, whether its website is cited, and which competing sources appear.
That would produce up to 80 query-tool observations.
The findings could become an original resource, provided the test is actually conducted and the methodology is disclosed.
The article could include real screenshots, test dates, query examples, and before-and-after comparisons after specific content updates.
Until the experiment has been completed, those results must remain a proposed test—not a claimed finding.
Original evidence gives people a reason to read your article instead of the ten others covering the same subject.
Step 5: Connect Your Article to a Bigger Content Strategy
One article rarely establishes expertise across an entire subject.
If you want to build authority around AI search, create a connected collection of resources.
For example:
A complete guide to AI search optimization.
A practical explanation of SEO vs GEO.
A guide to AI Overviews optimization.
A tutorial on how to measure AI citations.
A guide to building an effective SEO content strategy.
An explanation of how traditional rankings and AI visibility differ.
Each article should answer a distinct question.
Link related pages together where it genuinely helps readers understand the subject. Avoid creating multiple pages that simply repeat the same information with different keywords.
This approach helps visitors explore your expertise and creates a clearer structure for search engines to navigate.
It also gives you a stronger foundation for future content updates.
What Google Actually Says About AI Search
There's plenty of speculation about what businesses must do to appear in AI-generated answers. It's worth separating established guidance from marketing theories.
Google's official documentation explains how its AI features work with websites and points site owners toward established search fundamentals.
Google also provides guidance on creating helpful, reliable, people-first content. Its recommendations emphasize useful information created for people rather than content produced primarily to manipulate search rankings.
These are useful starting points for any SEO content strategy.
They also reinforce an important distinction: there is no universal formula that guarantees inclusion in Google AI Overviews, ChatGPT, or Claude.
Be cautious of anyone promising guaranteed AI citations or a guaranteed first-place recommendation.
A credible strategy improves the quality, discoverability, and usefulness of your content while measuring what actually happens.
How to Improve Your Chances of Appearing in ChatGPT and AI Overviews
There isn't one optimization switch you can turn on. Instead, work on the elements that make your content useful and accessible.
Make your expertise obvious. Explain what your business does, who it serves, and what it knows about the subject. Support claims with relevant examples and credible evidence.
Answer specific questions. Create content that addresses genuine customer concerns, including comparisons, practical instructions, and decision-making questions.
Maintain sound technical SEO. Important pages should be accessible to search engines, have descriptive titles and headings, and offer a usable experience across devices.
Keep business information consistent. Your website, business profiles, and relevant third-party sources should accurately represent your services and expertise.
Build credibility beyond your own website. Relevant editorial mentions, partnerships, reviews, and other legitimate third-party references can help people verify your business.
Review performance regularly. Track organic search results and test relevant AI queries over time. Record actual mentions and citations rather than assuming that publishing a new article automatically improves visibility.
These practices form a sensible foundation for AI Overviews optimization and broader AI search efforts. None should be presented as a guaranteed ranking or citation tactic.
The Measurement Problem: How Do You Know It's Working?
Traditional SEO reporting usually focuses on impressions, clicks, rankings, and organic conversions.
Those metrics remain valuable, but they don't capture every way someone might discover your business through AI.
Consider three different outcomes:
Outcome one: Your article ranks on Google and attracts an organic visit.
Outcome two: ChatGPT mentions your brand in an answer, but doesn't link to your website.
Outcome three: An AI tool cites your article, and the reader later searches for your business by name.
These are different experiences. Measuring only organic clicks can miss parts of the discovery journey.
Start with Google Search Console for traditional search performance. Use website analytics to identify measurable referral visits and conversions. Then conduct a repeatable AI visibility test.
Record the exact questions you ask, the platform, the date, the sources cited, whether your brand appears, and whether your website is linked.
Repeat the same test later.
AI responses can change with wording, context, platform updates, and other factors, so treat each test as an observation rather than a universal verdict.
Over time, this process can help you identify which topics deserve more attention, which pages need improvement, and where competitors are appearing instead.
The objective isn't to manufacture a single impressive AI visibility score.
It's to make better decisions using evidence.
Your Pre-Publishing Checklist
Before publishing your next article, ask yourself these questions:
Search intent
Does this article answer a clearly defined customer question?
Does it address the most important follow-up questions?
Does it offer something more useful than a generic overview?
Content quality
Is the main answer easy to find?
Are the examples specific and practical?
Are important claims supported by credible sources?
Have we avoided unsupported statistics and exaggerated promises?
SEO and accessibility
Is the page title descriptive?
Are the headings logical and useful?
Are relevant internal links included?
Can search engines access the important content?
Does the page work well on mobile?
AI visibility
Is the business's expertise clear?
Is the information accurate and consistent?
Have we documented a baseline for relevant AI queries?
Do we have a plan to monitor citations and brand mentions?
Business value
Does the article help readers make a decision?
Is there a natural next step for someone who wants help?
Can we measure whether the content attracts relevant traffic or leads?
If the article passes these checks, you're in a much better position to publish something that serves readers and supports your broader marketing goals.
The Bottom Line: Don't Write for an Algorithm. Build Something Worth Finding.
The goal isn't to produce content that sounds like Google, ChatGPT, or Claude.
It's to produce content that answers the questions people bring to those platforms.
That means better research, clearer explanations, useful examples, credible evidence, and a willingness to measure results instead of relying on assumptions.
Traditional SEO still matters. Generative engine optimization (GEO) adds another dimension to the strategy. And a thoughtful SEO content strategy brings the two together.
You don't need to publish more content just because AI search is growing.
You need to make the content you publish more valuable.
That's a better long-term investment than chasing every new optimization trend.
Is Your Content Working as Hard as It Could?
Publishing consistently is only part of the job. You also need a process for researching topics, creating useful content, maintaining your website, measuring results, and deciding what to improve next.
Bexcode brings digital marketing and operational support together through services that can include SEO, content, website development, and broader business support services for small businesses.
If your team is publishing regularly but can't tell which content is improving visibility or attracting qualified leads, the next step may not be another blog post.
It may be a clearer strategy.
Bring your current content approach into focus. Let's identify the gaps, prioritize the opportunities, and build a more measurable plan for growth.
Frequently Asked Questions
1. What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of improving content and brand information so generative AI systems can understand and potentially reference them in AI-generated answers. It complements traditional SEO through useful content, credible evidence, clear explanations, and a consistent online presence.
2. Is SEO dead because of AI search?
No. SEO remains important because search engines still need to discover, understand, and rank relevant webpages. AI search adds more ways for people to find information, so businesses should strengthen their SEO foundations while making their content useful for conversational and AI-generated answers.
3. How do I get my content cited by ChatGPT and AI Overviews?
Create accurate, useful content that answers relevant questions, demonstrates expertise, and supports important claims with credible sources. Maintain sound technical SEO and a consistent digital presence. No tactic guarantees a citation, so monitor actual brand mentions and source links over time.
4. What's the difference between SEO and GEO?
SEO focuses on improving a website's discoverability and rankings in traditional search. GEO focuses on making content and brand information useful and reference-worthy in generative AI responses. The approaches overlap, so businesses benefit from combining them rather than treating GEO as a replacement for SEO.
5. How long does it take to rank on Google and show up in AI answers?
There is no fixed timeline. Results depend on factors such as competition, website authority, content quality, technical accessibility, and the platform being evaluated. Monitor organic search performance and repeatable AI visibility tests over time rather than relying on guaranteed deadlines.