The new “first page of Google” is a paragraph inside an AI response.
And here’s the uncomfortable part: you can have the best product, the best service, and the best website… and still be invisible if AI can’t find, understand, and trust what you’re about.
So let’s fix that.
This is a 3-part framework for getting found in AI search, meaning:
- Your brand shows up in AI answers (places like ChatGPT, Gemini, AI overviews),
- Your pages get cited (referenced as links in the answer), and
- Your entity data is consistent enough that machines stop guessing and start recognizing and trusting you.
The best part: this framework will still work a year from now because it’s designed to build trust.
Even when the tools and interfaces change, trusted entities win (that’s why you see all the largest brands at the top, they are trusted).
We’ll use a simple 3-part system:
- On-page visibility (make your site easy to crawl, understand, and quote)
- Off-page authority (earn credible mentions so AI trusts your entity)
- Monitoring (track what’s working, catch issues fast, iterate)
What “getting found in AI search” actually means
Before tactics, let’s be precise.
When someone asks ChatGPT, Google, or any AI assistant for a recommendation (or a definition, or a vendor list), the assistant often does three things:
- It tries to understand the question and the entities in the question (entities are brands, products, locations, people, categories).
- It tries to retrieve or reference information it believes is relevant and credible.
- It assembles a response, sometimes with citations and sometimes with a knowledge panel-style summary.
That’s the new game.
Not just “rank my page.”
It’s “make it easy for systems to build the right story about my brand… from everywhere.”
The 3-Pillar Framework
Pillar 1: On-page visibility
If AI can’t reliably fetch and parse your site, nothing else matters.
We break on-page visibility into three buckets: Technical SEO, Content, and Style, with specific, practical bullets under each.
Let’s expand each one into a real-world checklist.
Pillar 1a: Technical SEO
This is scary for a lot of people, and I get it. However technical SEO is the foundation that lets AI and search engines access and trust your pages.
Some basic things you have to do (in plain English):
- Use secure HTTPS (make sure there’s an ‘s’ at the end of your http’s’ when you look at your website URL),
- Fix broken links (fix links to pages that don’t work, or links to pages aren’t there anymore)
- Build mobile-first pages with strong performance (Google has been using mobile-first indexing since 2018, it’s time to get on board)
- Ensure correct XML sitemaps and robots.txt (to check this, type into your browser https://yoursite.com/sitemap.xml and https://yoursite.com/robots.txt to view them)
- Add schema markup for key types including Organization, FAQ, and Products (this is going to take a bit more explaining. Keep reading.)
Now here’s the part that saves you months:
Technical SEO checklist for AI visibility
Crawl + index basics = robots.txt
- Go to https://yoursite.com/robots.txt – Make sure important pages can be found by the machines, that they are indexable (no accidental noindex, no blocked paths).
- Confirm your robots.txt isn’t accidentally preventing the machines from crawling your site.
- Google is explicit: robots.txt tells crawlers what they can access, make sure yours is set up correctly
Sitemaps that actually help
- Go to https://yoursite.com/sitemap.xml to check out your sitemap.
- Maintain a clean sitemap with canonical (original source), valuable URLs.
- Remember what a sitemap is for: it tells search engines what you believe is important and helps them crawl more efficiently.
- Submit your sitemap in Search Console and monitor errors (Google explicitly recommends submitting via the Sitemaps report).
Performance: speed is not optional
You want 90+ PageSpeed scores and use Google Search Console Core Web Vitals monitoring on mobile as part of AI-focused SEO work.
And Google is straightforward on why this matters:
- Google’s ‘Core Web Vitals’ measure real-world user experience for loading, interactivity, and visual stability, and Google recommends achieving a good score for success in Search.
Structured data (schema)
Take a deep breath. I promise this is not scary.
This is a huge lever for AI visibility because it turns your pages from “text on a screen” into “facts with labels.”
Think of it this way. The marketing side of your website, with pretty words and pictures, is for people. Structured data is for the machines to understand what your website is actually about.
That structured data is called schema.
Google says it directly:
- Google uses structured data it finds on the web to understand page content and to gather information about the web and world (including entities like people, books, and companies).
The first thing to do is to start with schema that helps the machines understand “who/what is this?” website about:
- Organization schema- to help it understand who this organization is, and where it fits into the world
- FAQ schema (for short Q&A blocks) – to show expertise and trustworthiness in a specific area
- Product or Service schema (for offerings) – to help explain what you sell
- Article schema (for editorial content) – for thought leadership
Now the above is the minimum you should do. However, if it’s too much to handle, the one thing you must do is add sameAs links to your official profiles and trusted listings.
What are sameAs links? Google’s Organization schema docs describe sameAs as URLs to other pages about your org, and you can provide multiple sameAs URLs.
For example, if you have a LinkedIn company page, a Facebook company page and an X company profile, you can link to all those things in your sameAs schema.
This tells the machine your website and company is the “same as” this LinkedIn profile, and is the same as this Facebook company page, and the same as this X company profile. Linking all the correct references together.
Bottom line: sameAs schema helps link all the correct information about your entity together.
Validate it
- Use the Rich Results Test to confirm what rich results your structured data supports (and whether it’s understandable by the machine).
Congratulations! You made it through the toughest part. On to content!
Pillar 1b: Content
Here’s the shift:
In “classic SEO,” content is often about winning a keyword and your page authority. The goal is to get a particular page shown as the top answer on the Google search results for a particular query.
If you type ‘Starbucks Frappuccino’ into Google, the Starbucks Frappuccino page should be the first result. And it is.
In “SEO for AI,” content is also about becoming a source and a reference.
Here’s where to start:
- Keyword and gap analysis – understanding what keywords you show for, and those your competitors show for, and create a target list of keywords to build content about
- Use that keyword list to develop pillar pages (primary, in-depth pages like the one you’re reading now) with supporting clusters of articles (like this one on how to get found in AI search for long tail searches, or this one on how to get found in AI search in less than 24 hours)
- Create short Q&A blocks for AI snippets
- Once you have created pillar pages and supporting clusters, refresh existing content quarterly to stay current
The content that makes AI confident about you
If you want to be the brand AI recommends, publish pages that reduce uncertainty:
1) A “source of truth” hub
- A crystal-clear About page
- Service/product pages that state:
- who it’s for
- what it does
- what it costs (or how pricing works)
- how it compares
- where you operate
- how to contact you
2) Pillar + cluster structure (still works)
- Pillar example: “SEO for AI” (or your core topic)
- Supporting: specific questions, comparisons, FAQs, examples, case studies
This structure helps search engines and AI retrieval systems find a page that matches a question and then pull the relevant section cleanly.
3) Q&A blocks that are actually useful
Don’t hide the answer behind a 900-word warm-up.
Put it near the top.
4) People-first content
Google’s guidance is clear: their ranking systems aim to prioritize helpful, reliable information created to benefit people. Not content created to manipulate rankings.
That’s not just “SEO advice.”
That’s the exact kind of content AI systems love to summarize and cite.
Pillar 1c: Style of content
This is where most people lose the AI game.
Not because their ideas are bad, but because their pages are hard to extract answers from.
You need:
- Clear headings and bullet points
- AI-friendly sitemap and Knowledge Graph feed
- Evergreen FAQ/Glossary with schema
- Alt text, captions, and fast media
What “AI-friendly” style looks like in practice
Write like you want your content quoted
Because… you do.
Use:
- short paragraphs
- descriptive H2/H3 headings
- bullets and numbered steps
- definitional sentences (“X is…”)
- “Key takeaways” blocks
Use media, but make it machine-readable
If you use images, make them understandable:
- Google recommends writing alt text that’s useful and information-rich, avoiding keyword stuffing (which can be seen as spam).
Build an evergreen FAQ / glossary
This is one of the easiest ways to become “the source” for definitions.
Structure it:
- Question as heading
- One-sentence answer
- 3–5 bullet expansions
- Internal links to deeper pages
- Add FAQ schema where appropriate
Putting these on page pieces in place will help the machines understand this is your ‘entity home’, and the source of truth they should use.
Pillar 2: Off-page authority
You’ve got your on-page strategy set and you’re fixing things up if you found some areas that need improvement.
Time for a reality check: Your website is not the whole internet.
I know you know that, but it has to be said. AI doesn’t just take your word for it, it builds “what it knows about you” from outside your site too.
Independently verified, reputable sources are what the machines believe.
To prove it, we ran an experiment to see if we could get a page to rank in AI in under 24 hours. The results? Success!
Here’s the full article about it: How to get found in AI search in less than 24 hours
That said, to build your off-page authority, we organize things into 5 parts:
- Backlinks
- PR
- Wikipedia
- Knowledge Graph
- Directories
Let’s expand each.
Pillar 2a: Backlinks
Backlinks still matter and for “SEO for AI,” think of them as:
credibility receipts.
So, how do you get backlinks (other sites linking and referencing your site)? Here are two successful ways:
- Create link-worthy assets (reports, tools)
- Do targeted outreach to top sites, giving them content they want
Or the easiest way I like to think about it:
- Do cool stuff.
- Talk about that cool stuff.
- Do more, bigger, cooler stuff.
- Talk about that stuff.
- Repeat. Forever.
What earns links and AI trust
- Original research (benchmarks, surveys, data studies)
- Industry tools (calculators, checklists, templates)
- Definitive guides that get referenced
- Expert commentary and roundups
- Case studies with real numbers
Quick warning: don’t buy links.
Google’s manual actions documentation is explicit:
Buying links or participating in link schemes to manipulate ranking violates spam policies and can result in manual action against your site.
Off-page authority is about earned credibility, not manufactured signals.
Pillar 2b: PR (Public Relations)
PR is “backlinks with momentum.”
These are links from earned media that link back to your original content. You’ve done something notable enough for journalists to write about you. The machines love this.
What does this look like?
- Press releases and media features you on their pages
Why should you care? Because high-crawl outlets amplify reach.
AI systems are pulling sources from across the web, so getting mentioned in places that are:
- crawled frequently,
- trusted by readers,
- and cited by other publishers
…is one of the fastest ways to expand your “AI footprint.”
PR assets on your site that help AI find you
- A press page on your site (logos, boilerplate, leadership bios)
- A single source of truth, a “Company Facts” page (founding date, headquarters, ownership, key products, etc.)
- A media kit with consistent names and descriptions
Pillar 2c: Wikipedia
Wikipedia can be helpful, but it’s also where brands embarrass themselves. How do they do that? They think Wikipedia is a marketing site.
It’s not. It’s an encyclopedia.
What is the right way to think about Wikipedia?
- Make sure you have enough notability to qualify for a Wikipedia page
- Then, create or update neutral pages
- Finally, monitor and maintain accuracy over time
Here’s the non-negotiable rule:
If you have a conflict of interest (COI), Wikipedia strongly discourages directly editing affected articles.
Wikipedia states that COI editing involves editing about yourself, your company, clients, employers, etc., and that COI editing is strongly discouraged; it recommends disclosure and proposing changes via talk pages rather than direct editing.
So the ethical playbook looks like:
- ensure notability (independent reliable sources exist)
- disclose conflicts
- propose pages and changes to pages on talk pages
- let independent editors decide
Wikipedia is not a marketing channel. It’s a public encyclopedia with rules.
All that said, something like 20% of AI training data is comprised of Wikipedia facts and references, so if you can get a Wikipedia page, it’s worth it.
Pillar 2d: Knowledge Graph
This is where “getting found in AI” starts to feel like “getting recognized.”
Google’s Knowledge Graph is described as a database of billions of facts about people, places, and things, used to surface factual info in search results.
What does it look like?
Go to Google. Search for Starbucks. Not the .com, or the drink, just put the word Starbucks into the search bar.
When the result comes up, you should see information about the Starbucks corporation on the right side of the results page.
This is called a knowledge panel. The knowledge panel is a visual representation of Google’s Knowledge Graph about that entity (in this case Starbucks).
So what do you do with that, and how do you get one?
Unfortunately there is no signup, but you can influence the results by doing these three things:
1) Make your entity easy to identify
- Use consistent brand name, address, phone, and descriptions everywhere (see the directories section below)
- Add Organization schema (including sameAs)
2) Connect structured facts to sources
You can help Google identify and populate a knowledge graph for you by building your own knowledge graph on your site.
Think of this as a website built for the machines.
- You have your pretty marketing site for humans.
- You have your schema built on your site for the machines to understand what your site is about.
- The machines then link the information about you from your site and source of truth to other information they know about in the world, and create a knowledge graph and knowledge panel of their own about you.
3) Claim your knowledge panel
Once Google has identified your entity, and given you a knowledge panel, you have to claim it as yours. Google’s instructions for verification literally include: “At the bottom, click Claim this knowledge panel.”
When you claim it, you can suggest edits and provide feedback.
That matters because the panel becomes a “machine summary” many systems reference.
Having a Google Knowlege Panel greatly increases your entity’s trust and authority. This will help you rank.
Pillar 2e: Directories
Directories feel boring… until you realize they’re where entity consistency is enforced.
You have to:
- Claim your Google Business Profile, Bing, Apple Maps, Yelp
- Keep your Name, Address, Phone number (NAP) consistent everywhere
Here’s what the platforms themselves say:
- Google’s Business Profile guidelines recommend maintaining consistent names and categories across locations so customers can identify your business in Maps and search results.
- Microsoft says to add or change business info in Bing Maps results, use Bing Places for Business to claim or update your listing.
- Apple says Apple Business Connect helps your brand get discovered and lets you set up your business so customers can find it in Maps, Apple Wallet, Siri, and more
This is entity SEO disguised as local SEO.
It’s how machines match:
“Are these all the same business?” → “Yes.” → “Great, we trust this.”
One last thing:
Don’t forget about your industry specific directories. If there are places where lists of competitors live, or industry conferences and events happen. Make sure you’re listed on them so the machines know who your peers are.
When people are talking about people like you (publishing blogs, writing articles, making videos), make sure you’re in the conversation. If you are, the machines know where to put you in their knowledge and that helps get you found in AI search.
Pillar 3: Monitoring
You can’t improve what you don’t measure.
Here are the three main buckets of monitoring tools:
- LLMtel
- Search Console
- Other tools like SEMrush or Ahrefs or Moz.
Let’s turn that into an operating system to monitor your progress.
Pillar 3a: LLMtel
LLMtel.com is an AI visibility tool that shows you:
- Do the models recognize your entity?
- Do you show up in AI search across 17 chatbots and AI models for custom and generated questions?
- Who else shows up in those responses (your competitors for example)?
How to use LLMtel monitoring without spiraling
- Pick a baseline set of prompts. For example (pick some that work for you):
- “Best [service] in [city]”
- “Top [product category] for [use case]”
- “Alternatives to [competitor]”
- “What is [your brand]?”
- Track:
- mentions
- citations
- how your brand is described (positioning drift is real)
- When something changes:
- identify what source appeared/disappeared
- update the page that should be “the source”
- reinforce with PR/links if needed
Pillar 3b: Search Console
This is still one of the highest-signal tools you have because it shows you what Google is actually doing with your site.
- submit sitemaps and individual URLs
- alert you to issues
- show URL inspection data from the Google index
We also use it for:
- fixing indexing and schema errors
- seeing queries, clicks, CTR, and snippets
And Google’s performance report explains exactly what you can measure:
- total clicks, total impressions, average CTR, average position
Use URL Inspection for:
- seeing Google’s indexed version of a page
- testing whether a live URL is indexable
- requesting indexing
And don’t skip structured data validation:
- Use Rich Results Test to see which rich results can be generated by the structured data on a page.
Pillar 3c: Other tools
Here’s a practical “other tools” stack you can keep forever (swap vendors anytime):
- Google Analytics (GA4 or equivalent): AI referrals, assisted conversions, page engagement
- Server logs: crawl frequency, bot access issues, wasted crawl
- Speed/CWV tooling: Core Web Vitals changes over time
- Rank tracking: organic + “AI surfaces” where possible
- Backlink monitoring: new/lost links and brand mentions
- Brand monitoring: alerts for unlinked mentions and PR pickup
A simple 90-day plan you can follow
If you’re starting from scratch, here’s a clean sequence that matches the framework:
Days 1–14: Make it possible to be found
- Fix crawl/index issues (robots, noindex, canonicals)
- Submit/clean sitemaps and monitor errors
- Add Organization schema + sameAs
- Validate structured data with Rich Results Test
Days 15–45: Become the best source
- Build 1–2 pillar pages + 8–12 supporting articles
- Add short Q&A blocks for key queries
- Add FAQ/glossary pages and keep them evergreen
- Improve alt text and media clarity where relevant
Days 46–75: Expand authority off-site
- Publish 1 link-worthy asset (report/tool/template)
- Start PR outreach and earn mentions
- Clean up directory consistency (GBP, Bing, Apple, Yelp)
Days 76–90: Lock in entity trust + monitoring
- Improve knowledge graph signals (Wikidata, sources, consistency)
- Claim your Google knowledge panel if available
- Set up ongoing AI visibility tracking and alerts
- Review Search Console performance weekly
The “stands-the-test-of-time” update checklist
AI changes fast.
But the inputs that shape AI answers change at a human pace.
Use this playbook quarterly:
- Refresh your top pages (pricing, comparisons, “best of” lists)
- Re-validate schema after site changes
- Review Search Console for indexing + snippet changes
- Check AI visibility prompts and document changes
- Audit entity consistency across directories
- Watch for “narrative drift” (how AI describes you) and correct with content + PR
Final thought
“SEO for AI” isn’t a new trick.
It’s classic SEO fundamentals (crawl, content, authority) plus entity clarity and citation readiness.
Or you can keep it simple: make your site fast, clear, easy for AI to read… then build the trust and authority to stay on top.
And if you remember just one thing:
AI doesn’t just read your website.
It reads the web’s story about you.
So you need to shape both.
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