How to Write Content That Ranks in AI Overviews and LLMs
- 10X Linkbuilding
- May 22
- 20 min read
Updated: Aug 27
Writing for AI search does not mean replacing SEO with a new set of tricks.
Google’s own guidance is fairly clear on this: the same foundations that help a page perform in Search still matter for AI Overviews and AI Mode. Your content needs to be crawlable, indexable, relevant and genuinely useful. There is no special AI schema or formatting requirement that guarantees inclusion.
What has changed is the search experience around that content.
A user may now receive a generated answer before clicking a website. That raises the bar for publishers. A page needs to do more than repeat the information already available in the SERP.
The most useful way to think about AI-search content is through four stages:
Retrieval: Can the system find your page for the question?
Contribution: Does your page contain information useful to the generated answer?
Attribution: Is your page shown as a supporting source?
Continuation: Does the reader still have a reason to visit your page?
That framework is more practical than trying to reverse-engineer a universal “LLM ranking formula.”
Do You Need to Write Differently for AI Overviews?
Not completely.
Google says there are no additional technical requirements for appearing as a supporting link in AI Overviews or AI Mode. A page needs to satisfy the normal technical requirements for Search and be eligible to appear with a snippet.
The bigger change is content quality.
Google’s current guidance specifically recommends creating unique, useful, non-commodity content instead of simply reproducing information already available elsewhere.
That means an article answering a common question should ideally contribute something beyond a summary.
That could be:
Original research
A first-hand example
A useful framework
Expert analysis
A comparison competitors missed
A real limitation or exception
A tool or template
A clearer synthesis of primary evidence
If an AI system can generate an equivalent version of the article without needing your page, there is little differentiation.
How AI Overviews Find Supporting Content
Google AI Overviews and AI Mode are built on top of Google Search rather than operating as completely separate search engines.
Google says these features may use a technique known as query fan-out, where multiple related searches are issued across subtopics and data sources.
That matters for content planning.
A user might ask:
How should I optimize content for AI Overviews?
The generated response may need information about:
Content structure
Crawlability
Search intent
Structured data
Source credibility
Originality
Images
AI measurement
Instead of trying to repeat the exact query throughout the article, cover the parts of the topic necessary to answer it properly.
This is not permission to create dozens of thin pages targeting every possible fan-out query. Google specifically warns against producing large numbers of pages primarily to manipulate generative-search visibility.
ChatGPT Search Works Differently
Google AI Overviews and ChatGPT should not be treated as one search system.
ChatGPT can search the web when current information is needed and may include inline citations and a source panel in search-backed responses.
OpenAI also says public websites can appear in ChatGPT search. Publishers that want their pages to be discoverable should allow OAI-SearchBot to access them.
That does not mean every ChatGPT answer searches the web or that every answer will cite the same sources.
So instead of writing “for ChatGPT” in isolation, make sure the underlying content is:
Publicly accessible
Technically crawlable where appropriate
Clearly written
Current when freshness matters
Well supported
Worth referencing
Step 1: Answer the Main Question Early
Do not bury the answer under a long introduction.
If the page targets:
What is entity SEO?
Give the reader a clear definition near the beginning.
If it targets:
How do I perform a technical SEO audit?
Explain the core process before adding background.
This is good for readers regardless of whether an AI system uses the passage.
The answer does not need to be exactly 40, 50 or 60 words.
There is no official Google rule requiring a fixed answer length for AI Overviews.
Aim for the shortest answer that remains complete and accurate.
Step 2: Structure the Page Around Real Decisions
Question-based headings can be useful, but not every heading needs to mimic a search query.
Instead, structure sections around what the reader needs to understand next.
For example:
Weak structure
AI SEO
AI content
AI authority
AI schema
Better structure
Do AI Overviews require different SEO?
How does Google retrieve supporting pages?
What makes a page worth citing?
Does structured data improve AI visibility?
How should AI-search performance be measured?
The second structure is useful because the headings communicate a clear information need.
Step 3: Separate Claims From Evidence
This is one of the biggest opportunities in AI-search content.
When you make a factual claim, show the reader where it came from.
For example:
Claim: Google AI Overviews use existing Search systems.
Evidence: Link directly to Google Search Central.
Claim: ChatGPT search can display citations.
Evidence: Link to OpenAI’s product or publisher documentation.
Avoid writing phrases such as:
“Studies show”
“AI systems prefer”
“LLMs reward”
“Research proves”
unless you identify the study or official source.
This is especially important because a large amount of GEO advice is based on observed correlations rather than confirmed platform rules.
Step 4: Add Information the SERP Cannot Easily Replace
This is where many AI-search articles fail.
They summarize the same ten recommendations:
Be authoritative
Use schema
Write clearly
Add FAQs
Build backlinks
Add statistics
The result is technically competent but interchangeable.
Google now describes this type of generic material as commodity content when it adds little distinctive value.
Ask:
What would someone still need from this page after reading an AI summary?
Possible answers include:
Original evidence
Run a survey, analyze a dataset or document a real process.
First-hand experience
Explain what happened in an actual implementation when you genuinely have that experience.
Expert interpretation
Have a qualified practitioner explain why common advice fails in certain situations.
Decision frameworks
Help users choose between options rather than simply describe them.
Templates and tools
Give the reader something they can actually use.
Limitations
Explain where the recommended approach does not work.
Originality is not about being contrarian for the sake of it. It is about contributing something that was not already obvious.
Step 5: Make Individual Passages Understandable
A strong paragraph should usually make sense even when a reader lands directly on that section.
For example:
Does schema guarantee AI Overview visibility?No. Google says there is no special structured data required for AI Overviews or AI Mode. Structured data should accurately represent the visible content and be used for the Search features it supports.
That passage works independently.
You do not need to artificially break every article into tiny “atomic” blocks.
Google’s 2026 generative-AI optimization guidance specifically advises publishers not to over-engineer content around supposed AI-specific formatting tactics.
Write for comprehension first.
Step 6: Use Tables and Lists When They Improve
Understanding
Tables are useful for comparisons.
Lists are useful for:
Requirements
Options
Steps
Checks
Examples
But there is no evidence that adding a table automatically makes a page more likely to appear in an AI Overview.
Use structure because it helps the user understand the information.
For example:
Content element | Best use |
Paragraph | Definition or explanation |
Bulleted list | Non-sequential options |
Numbered list | Sequential process |
Table | Direct comparison |
Diagram | Relationship or workflow |
Screenshot | Real interface or evidence |
Structure should follow the content, not the other way around.
Step 7: Make Expertise Visible Without Manufacturing It
Author information can improve trust for readers, particularly on topics where expertise matters.
A useful author profile may include:
Real name
Relevant role
Relevant experience
Professional background
Other published work
Credentials when applicable
Do not add fake experience, inflated credentials or invented awards.
An SEO writer does not need an academic degree to explain basic keyword research. A medical article, on the other hand, may warrant expert review.
Use the level of expertise appropriate to the subject.
For more context on credibility signals, see our guide to E-E-A-T and how to demonstrate it.
Step 8: Clarify Entities and Relationships
A page should make it obvious who and what it is talking about.
Instead of writing:
The platform introduced the feature later.
Write:
Google expanded AI Overviews after testing Search Generative Experience through Search Labs.
That clarity benefits readers and reduces ambiguity.
Related concepts should also be explained correctly.
For example:
Google Search
AI Overviews
AI Mode
Gemini
ChatGPT
ChatGPT Search
LLMs
Retrieval-augmented generation
These terms overlap, but they are not interchangeable.
Our guide to entity SEO and knowledge graphs goes deeper into how entities and relationships help search systems interpret meaning.
Step 9: Use Structured Data for What It Actually Does
Structured data helps search engines understand explicit information on a page and may make pages eligible for supported Search features.
It is not a special AI Overview optimization layer.
Google states that:
No special schema is required for AI Overviews.
Structured data should match visible page content.
Normal Search structured-data policies still apply.
Use relevant markup such as:
Article or BlogPosting
Person
Organization
Product
BreadcrumbList
when the visible content genuinely supports it.
Do not add schema simply to make the page look more “machine readable.”
Also note that Google stopped showing FAQ rich results in Search in May 2026. FAQ markup can still describe visible content semantically, but it should not be implemented with the expectation of earning the old FAQ SERP treatment.
Step 10: Check Technical Eligibility
Content cannot contribute to Google AI features if Google cannot properly access and index the page.
Check:
HTTP status
Robots directives
Indexability
Canonical tags
Internal links
JavaScript rendering where relevant
Mobile usability
Important text availability
Snippet controls
You do not need to strip a modern website down to plain HTML.
Google can process JavaScript, although JavaScript-heavy websites introduce additional crawling and rendering considerations.
Use this technical SEO audit checklist if you need a broader crawlability and indexing review.
For ChatGPT search, review OAI-SearchBot access separately if discoverability there matters.
Step 11: Support Text With Useful Visuals
Google specifically recommends high-quality images and video when they genuinely help the user.
Good visual additions might include:
Original screenshots
Diagrams
Charts
Step-by-step images
Before-and-after examples
Short demonstrations
Do not add generic AI-generated illustrations simply to make an article look “optimized.”
A diagram showing how retrieval, contribution, attribution and continuation relate would add more value to this article than a futuristic robot image.
Step 12: Build Strong Internal Context
Internal links help users and search engines discover related pages.
Use them where the reader naturally needs a deeper explanation.
For example, someone learning how AI Overviews work may benefit from a broader explanation of Google SGE and AI Overviews.
Someone ready to measure the result can move to an audit of brand visibility in LLM outputs.
Internal links should continue the reader’s journey. Avoid linking generic phrases purely to manipulate anchor-text signals.
Step 13: Do Not Treat Backlinks as an LLM Cheat Code
Backlinks remain important to SEO.
But statements such as:
“LLMs use backlinks as a primary tie-breaker”
go beyond what the platforms have publicly documented.
For Google AI Overviews, traditional Search ranking and quality systems remain part of the retrieval infrastructure. That means ordinary SEO authority still matters, but it should not be translated into an invented LLM-specific backlink formula.
External coverage can also help brands become more discoverable and better understood across the web.
That is different from claiming that obtaining a particular backlink will directly cause ChatGPT or an AI Overview to cite you.
Step 14: Write for Citation — But Give People a Reason to Click
A citation is not the final goal.
Suppose the AI answer already explains:
Structured data does not guarantee AI Overview inclusion.
Why should the user still visit your page?
Perhaps your page offers:
A schema implementation checklist
Examples
A downloadable template
A decision tree
Original research
Screenshots
Troubleshooting steps
That additional value is what creates continuation beyond the generated answer.
Good AI-search content should therefore be easy to summarize but difficult to replace completely.
How to Measure AI-Search Visibility
Measurement is improving, but it remains less straightforward than traditional rank tracking.
Track several layers.
Google Search Console
Google announced dedicated generative-AI performance reporting in June 2026, including separate views for visibility in features such as AI Overviews and AI Mode. Availability is being rolled out rather than appearing identically for every site.
Also monitor:
Impressions
Clicks
Queries
Landing pages
Search traffic trends
Analytics
Look at:
AI referral traffic
Engagement
Assisted conversions
Leads
Branded searches
Important landing-page behavior
LLM monitoring
For ChatGPT, Perplexity and other systems, monitor:
Mentions
Recommendations
Citations
Cited domains
Accuracy
Competitor inclusion
Do not mix those metrics into a single “AI ranking.”
If you need a more systematic measurement process, use our guide to audit your brand’s presence in LLM outputs.
What Not to Do
Avoid treating GEO like an engineering checklist built from unverified ranking theories.
Do not:
Force every answer into 50 words
Stuff pages with loosely related entities
Add schema that does not match the page
Create hundreds of fan-out pages
Invent first-hand experience
Publish statistics without sources
Claim a backlink guarantees AI citation
Rewrite every paragraph into artificial “atomic content”
Assume Google, ChatGPT, Claude and Perplexity work identically
Measure success only by citation count
The strongest strategy remains fairly familiar:
Create something genuinely useful, make it technically accessible, support important claims and give people a reason to choose your page over an interchangeable summary.
A Practical AI-Content Review Checklist
Before publishing, ask:
Retrieval
Is the page crawlable?
Is it indexable?
Is the search intent clear?
Do internal links help systems and users discover it?
Contribution
Does it answer the main question?
Does it contain original or useful information?
Are important claims supported?
Are related concepts explained accurately?
Attribution
Is authorship clear?
Are sources easy to identify?
Are dates accurate?
Is structured data appropriate?
Continuation
Does the page offer something beyond a summary?
Is there an example, tool, template or deeper explanation?
Is the next action clear?
If the answer to the last section is no, being cited may not produce meaningful business value.
Need Help Turning AI Search Visibility Into a Broader Authority Strategy?
10X Linkbuilding and Content Services helps brands strengthen the content, technical foundations and external authority that support modern organic visibility.
That can include content-gap analysis, technical SEO, reference-worthy content and targeted authority building.
Book a consultation to review where your current content may be losing visibility across traditional and AI-assisted search.
Frequently Asked Questions
How do you write content for AI Overviews?
Start with normal SEO eligibility, answer the search intent clearly, add original or non-commodity information, support factual claims and structure the page so readers can navigate it easily. Google does not require special AI Overview markup.
Does Google prefer short answers for AI Overviews?
Google does not publish a fixed word-count requirement. Use concise answers where appropriate, but preserve necessary context and accuracy.
Does schema help content appear in AI Overviews?
Structured data can help Google understand explicit page information and support eligible Search features, but there is no special schema that guarantees AI Overview inclusion.
Do backlinks help AI Overview visibility?
Backlinks remain part of traditional SEO and authority building. However, Google has not published a rule stating that backlinks directly determine AI Overview citations or act as a specific LLM tie-breaker.
What type of content performs best in AI search?
There is no single format. Google currently recommends useful, reliable, non-commodity content that offers genuine value. Original evidence, expert interpretation, tools and useful frameworks can provide differentiation.
Do I need an llms.txt file?
Google does not require an llms.txt file for AI Overviews or AI Mode. For ChatGPT search, OpenAI’s documented discoverability requirement focuses on allowing OAI-SearchBot rather than requiring llms.txt.
Can ChatGPT cite my website?
Writing for AI search does not mean replacing SEO with a new set of tricks.
Google’s own guidance is fairly clear on this: the same foundations that help a page perform in Search still matter for AI Overviews and AI Mode. Your content needs to be crawlable, indexable, relevant and genuinely useful. There is no special AI schema or formatting requirement that guarantees inclusion.
What has changed is the search experience around that content.
A user may now receive a generated answer before clicking a website. That raises the bar for publishers. A page needs to do more than repeat the information already available in the SERP.
The most useful way to think about AI-search content is through four stages:
Retrieval: Can the system find your page for the question?
Contribution: Does your page contain information useful to the generated answer?
Attribution: Is your page shown as a supporting source?
Continuation: Does the reader still have a reason to visit your page?
That framework is more practical than trying to reverse-engineer a universal “LLM ranking formula.”
Do You Need to Write Differently for AI Overviews?
Not completely.
Google says there are no additional technical requirements for appearing as a supporting link in AI Overviews or AI Mode. A page needs to satisfy the normal technical requirements for Search and be eligible to appear with a snippet.
The bigger change is content quality.
Google’s current guidance specifically recommends creating unique, useful, non-commodity content instead of simply reproducing information already available elsewhere.
That means an article answering a common question should ideally contribute something beyond a summary.
That could be:
Original research
A first-hand example
A useful framework
Expert analysis
A comparison competitors missed
A real limitation or exception
A tool or template
A clearer synthesis of primary evidence
If an AI system can generate an equivalent version of the article without needing your page, there is little differentiation.
How AI Overviews Find Supporting Content
Google AI Overviews and AI Mode are built on top of Google Search rather than operating as completely separate search engines.
Google says these features may use a technique known as query fan-out, where multiple related searches are issued across subtopics and data sources.
That matters for content planning.
A user might ask:
How should I optimize content for AI Overviews?
The generated response may need information about:
Content structure
Crawlability
Search intent
Structured data
Source credibility
Originality
Images
AI measurement
Instead of trying to repeat the exact query throughout the article, cover the parts of the topic necessary to answer it properly.
This is not permission to create dozens of thin pages targeting every possible fan-out query. Google specifically warns against producing large numbers of pages primarily to manipulate generative-search visibility.
ChatGPT Search Works Differently
Google AI Overviews and ChatGPT should not be treated as one search system.
ChatGPT can search the web when current information is needed and may include inline citations and a source panel in search-backed responses.
OpenAI also says public websites can appear in ChatGPT search. Publishers that want their pages to be discoverable should allow OAI-SearchBot to access them.
That does not mean every ChatGPT answer searches the web or that every answer will cite the same sources.
So instead of writing “for ChatGPT” in isolation, make sure the underlying content is:
Publicly accessible
Technically crawlable where appropriate
Clearly written
Current when freshness matters
Well supported
Worth referencing
Step 1: Answer the Main Question Early
Do not bury the answer under a long introduction.
If the page targets:
What is entity SEO?
Give the reader a clear definition near the beginning.
If it targets:
How do I perform a technical SEO audit?
Explain the core process before adding background.
This is good for readers regardless of whether an AI system uses the passage.
The answer does not need to be exactly 40, 50 or 60 words.
There is no official Google rule requiring a fixed answer length for AI Overviews.
Aim for the shortest answer that remains complete and accurate.
Step 2: Structure the Page Around Real Decisions
Question-based headings can be useful, but not every heading needs to mimic a search query.
Instead, structure sections around what the reader needs to understand next.
For example:
Weak structure
AI SEO
AI content
AI authority
AI schema
Better structure
Do AI Overviews require different SEO?
How does Google retrieve supporting pages?
What makes a page worth citing?
Does structured data improve AI visibility?
How should AI-search performance be measured?
The second structure is useful because the headings communicate a clear information need.
Step 3: Separate Claims From Evidence
This is one of the biggest opportunities in AI-search content.
When you make a factual claim, show the reader where it came from.
For example:
Claim: Google AI Overviews use existing Search systems.
Evidence: Link directly to Google Search Central.
Claim: ChatGPT search can display citations.
Evidence: Link to OpenAI’s product or publisher documentation.
Avoid writing phrases such as:
“Studies show”
“AI systems prefer”
“LLMs reward”
“Research proves”
unless you identify the study or official source.
This is especially important because a large amount of GEO advice is based on observed correlations rather than confirmed platform rules.
Step 4: Add Information the SERP Cannot Easily Replace
This is where many AI-search articles fail.
They summarize the same ten recommendations:
Be authoritative
Use schema
Write clearly
Add FAQs
Build backlinks
Add statistics
The result is technically competent but interchangeable.
Google now describes this type of generic material as commodity content when it adds little distinctive value.
Ask:
What would someone still need from this page after reading an AI summary?
Possible answers include:
Original evidence
Run a survey, analyze a dataset or document a real process.
First-hand experience
Explain what happened in an actual implementation when you genuinely have that experience.
Expert interpretation
Have a qualified practitioner explain why common advice fails in certain situations.
Decision frameworks
Help users choose between options rather than simply describe them.
Templates and tools
Give the reader something they can actually use.
Limitations
Explain where the recommended approach does not work.
Originality is not about being contrarian for the sake of it. It is about contributing something that was not already obvious.
Step 5: Make Individual Passages Understandable
A strong paragraph should usually make sense even when a reader lands directly on that section.
For example:
Does schema guarantee AI Overview visibility?No. Google says there is no special structured data required for AI Overviews or AI Mode. Structured data should accurately represent the visible content and be used for the Search features it supports.
That passage works independently.
You do not need to artificially break every article into tiny “atomic” blocks.
Google’s 2026 generative-AI optimization guidance specifically advises publishers not to over-engineer content around supposed AI-specific formatting tactics.
Write for comprehension first.
Step 6: Use Tables and Lists When They Improve Understanding
Tables are useful for comparisons.
Lists are useful for:
Requirements
Options
Steps
Checks
Examples
But there is no evidence that adding a table automatically makes a page more likely to appear in an AI Overview.
Use structure because it helps the user understand the information.
For example:
Content element | Best use |
Paragraph | Definition or explanation |
Bulleted list | Non-sequential options |
Numbered list | Sequential process |
Table | Direct comparison |
Diagram | Relationship or workflow |
Screenshot | Real interface or evidence |
Structure should follow the content, not the other way around.
Step 7: Make Expertise Visible Without Manufacturing It
Author information can improve trust for readers, particularly on topics where expertise matters.
A useful author profile may include:
Real name
Relevant role
Relevant experience
Professional background
Other published work
Credentials when applicable
Do not add fake experience, inflated credentials or invented awards.
An SEO writer does not need an academic degree to explain basic keyword research. A medical article, on the other hand, may warrant expert review.
Use the level of expertise appropriate to the subject.
For more context on credibility signals, see our guide to E-E-A-T and how to demonstrate it.
Step 8: Clarify Entities and Relationships
A page should make it obvious who and what it is talking about.
Instead of writing:
The platform introduced the feature later.
Write:
Google expanded AI Overviews after testing Search Generative Experience through Search Labs.
That clarity benefits readers and reduces ambiguity.
Related concepts should also be explained correctly.
For example:
Google Search
AI Overviews
AI Mode
Gemini
ChatGPT
ChatGPT Search
LLMs
Retrieval-augmented generation
These terms overlap, but they are not interchangeable.
Our guide to entity SEO and knowledge graphs goes deeper into how entities and relationships help search systems interpret meaning.
Step 9: Use Structured Data for What It Actually Does
Structured data helps search engines understand explicit information on a page and may make pages eligible for supported Search features.
It is not a special AI Overview optimization layer.
Google states that:
No special schema is required for AI Overviews.
Structured data should match visible page content.
Normal Search structured-data policies still apply.
Use relevant markup such as:
Article or BlogPosting
Person
Organization
Product
BreadcrumbList
when the visible content genuinely supports it.
Do not add schema simply to make the page look more “machine readable.”
Also note that Google stopped showing FAQ rich results in Search in May 2026. FAQ markup can still describe visible content semantically, but it should not be implemented with the expectation of earning the old FAQ SERP treatment.
Step 10: Check Technical Eligibility
Content cannot contribute to Google AI features if Google cannot properly access and index the page.
Check:
HTTP status
Robots directives
Indexability
Canonical tags
Internal links
JavaScript rendering where relevant
Mobile usability
Important text availability
Snippet controls
You do not need to strip a modern website down to plain HTML.
Google can process JavaScript, although JavaScript-heavy websites introduce additional crawling and rendering considerations.
Use this technical SEO audit checklist if you need a broader crawlability and indexing review.
For ChatGPT search, review OAI-SearchBot access separately if discoverability there matters.
Step 11: Support Text With Useful Visuals
Google specifically recommends high-quality images and video when they genuinely help the user.
Good visual additions might include:
Original screenshots
Diagrams
Charts
Step-by-step images
Before-and-after examples
Short demonstrations
Do not add generic AI-generated illustrations simply to make an article look “optimized.”
A diagram showing how retrieval, contribution, attribution and continuation relate would add more value to this article than a futuristic robot image.
Step 12: Build Strong Internal Context
Internal links help users and search engines discover related pages.
Use them where the reader naturally needs a deeper explanation.
For example, someone learning how AI Overviews work may benefit from a broader explanation of Google SGE and AI Overviews.
Someone ready to measure the result can move to an audit of brand visibility in LLM outputs.
Internal links should continue the reader’s journey. Avoid linking generic phrases purely to manipulate anchor-text signals.
Step 13: Do Not Treat Backlinks as an LLM Cheat Code
Backlinks remain important to SEO.
But statements such as:
“LLMs use backlinks as a primary tie-breaker”
go beyond what the platforms have publicly documented.
For Google AI Overviews, traditional Search ranking and quality systems remain part of the retrieval infrastructure. That means ordinary SEO authority still matters, but it should not be translated into an invented LLM-specific backlink formula.
External coverage can also help brands become more discoverable and better understood across the web.
That is different from claiming that obtaining a particular backlink will directly cause ChatGPT or an AI Overview to cite you.
Step 14: Write for Citation — But Give People a Reason to Click
A citation is not the final goal.
Suppose the AI answer already explains:
Structured data does not guarantee AI Overview inclusion.
Why should the user still visit your page?
Perhaps your page offers:
A schema implementation checklist
Examples
A downloadable template
A decision tree
Original research
Screenshots
Troubleshooting steps
That additional value is what creates continuation beyond the generated answer.
Good AI-search content should therefore be easy to summarize but difficult to replace completely.
How to Measure AI-Search Visibility
Measurement is improving, but it remains less straightforward than traditional rank tracking.
Track several layers.
Google Search Console
Google announced dedicated generative-AI performance reporting in June 2026, including separate views for visibility in features such as AI Overviews and AI Mode. Availability is being rolled out rather than appearing identically for every site.
Also monitor:
Impressions
Clicks
Queries
Landing pages
Search traffic trends
Analytics
Look at:
AI referral traffic
Engagement
Assisted conversions
Leads
Branded searches
Important landing-page behavior
LLM monitoring
For ChatGPT, Perplexity and other systems, monitor:
Mentions
Recommendations
Citations
Cited domains
Accuracy
Competitor inclusion
Do not mix those metrics into a single “AI ranking.”
If you need a more systematic measurement process, use our guide to audit your brand’s presence in LLM outputs.
What Not to Do
Avoid treating GEO like an engineering checklist built from unverified ranking theories.
Do not:
Force every answer into 50 words
Stuff pages with loosely related entities
Add schema that does not match the page
Create hundreds of fan-out pages
Invent first-hand experience
Publish statistics without sources
Claim a backlink guarantees AI citation
Rewrite every paragraph into artificial “atomic content”
Assume Google, ChatGPT, Claude and Perplexity work identically
Measure success only by citation count
The strongest strategy remains fairly familiar:
Create something genuinely useful, make it technically accessible, support important claims and give people a reason to choose your page over an interchangeable summary.
A Practical AI-Content Review Checklist
Before publishing, ask:
Retrieval
Is the page crawlable?
Is it indexable?
Is the search intent clear?
Do internal links help systems and users discover it?
Contribution
Does it answer the main question?
Does it contain original or useful information?
Are important claims supported?
Are related concepts explained accurately?
Attribution
Is authorship clear?
Are sources easy to identify?
Are dates accurate?
Is structured data appropriate?
Continuation
Does the page offer something beyond a summary?
Is there an example, tool, template or deeper explanation?
Is the next action clear?
If the answer to the last section is no, being cited may not produce meaningful business value.
Need Help Turning AI Search Visibility Into a Broader Authority Strategy?
10X Linkbuilding and Content Services helps brands strengthen the content, technical foundations and external authority that support modern organic visibility.
That can include content-gap analysis, technical SEO, reference-worthy content and targeted authority building.
Book a consultation to review where your current content may be losing visibility across traditional and AI-assisted search.
Frequently Asked Questions
How do you write content for AI Overviews?
Start with normal SEO eligibility, answer the search intent clearly, add original or non-commodity information, support factual claims and structure the page so readers can navigate it easily. Google does not require special AI Overview markup.
Does Google prefer short answers for AI Overviews?
Google does not publish a fixed word-count requirement. Use concise answers where appropriate, but preserve necessary context and accuracy.
Does schema help content appear in AI Overviews?
Structured data can help Google understand explicit page information and support eligible Search features, but there is no special schema that guarantees AI Overview inclusion.
Do backlinks help AI Overview visibility?
Backlinks remain part of traditional SEO and authority building. However, Google has not published a rule stating that backlinks directly determine AI Overview citations or act as a specific LLM tie-breaker.
What type of content performs best in AI search?
There is no single format. Google currently recommends useful, reliable, non-commodity content that offers genuine value. Original evidence, expert interpretation, tools and useful frameworks can provide differentiation.
Do I need an llms.txt file?
Google does not require an llms.txt file for AI Overviews or AI Mode. For ChatGPT search, OpenAI’s documented discoverability requirement focuses on allowing OAI-SearchBot rather than requiring llms.txt.
Can ChatGPT cite my website?
Yes. Search-backed ChatGPT responses can include links to web sources. OpenAI says public websites can appear in ChatGPT search when accessible to its search crawler.
Is GEO different from SEO?
GEO is a useful industry term for visibility in generated answers, but Google explicitly says existing SEO best practices remain relevant to its generative Search features.
How do I measure AI Overview performance?
Use Google Search Console’s generative-AI reporting where available, combined with normal Search Console performance data, analytics, conversions and third-party monitoring when useful.
Should I optimize separately for every LLM?
Not by creating duplicate pages for each platform. Make the underlying information accurate, accessible and useful, then monitor how different search and AI systems surface it.
