Answer engine optimization examples are specific changes that make a website easy for ChatGPT, Google AI Overviews and Perplexity to quote. The most common ones: an answer-first paragraph at the top of each page, FAQ sections, LocalBusiness schema, consistent business details everywhere, one page per service, reviews that name services and cities, and an open door for AI crawlers.
Below are 12 before and after changes you can see on a real website, written for service businesses. For background, read what answer engine optimization is and how AEO differs from SEO.
None of these are tricks. Google says there are no special requirements or special schema needed to appear in AI Overviews or AI Mode, and that normal SEO fundamentals apply (Google Search Central). These changes simply make your business easier to understand, verify and quote.
What does answer engine optimization look like on a real page?
Example 1: The answer-first paragraph
- Before: “Welcome to Coastal Roofing! We are passionate about quality and committed to excellence in everything we do.”
- After: “Coastal Roofing replaces and repairs shingle, tile and metal roofs in Sarasota and Manatee counties. Most full replacements take two to four days. We are licensed in Florida and offer free written estimates within 48 hours.”
The after version names the service, area, timeframe and a trust signal in about 40 words.
Example 2: Question-style headings
- Before: H2 “Our Process”
- After: H2 “How long does a roof replacement take in Sarasota?”
When your heading matches the question and the first sentence answers it, the page maps cleanly to the query.
Example 3: An FAQ section with FAQPage schema
- Before: No FAQ. Customers call to ask about permits, insurance claims and financing.
- After: Six real customer questions on the page, each answered in 40 to 80 words, marked up with FAQPage schema that matches the visible text exactly.
Be clear on what this does and does not do in 2026. Google stopped showing FAQ rich results in search on May 7, 2026, and FAQPage remains a valid Schema.org type that causes no problems if you keep it (Search Engine Journal). The value now is the visible question and answer content itself.
Which schema examples matter most for AEO?
Example 4: LocalBusiness schema, using the most specific type
Google’s only required LocalBusiness properties are name and address, and it recommends the most specific subtype available (Google Search Central). A roofer should be a RoofingContractor, not a generic LocalBusiness.
- Before: No schema, or a theme default that labels the site “WebSite” and nothing else.
- After: JSON-LD in the page head, like this illustrative example for a fictional business:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "RoofingContractor",
"@id": "https://www.example.com/#business",
"name": "Coastal Roofing",
"url": "https://www.example.com/",
"telephone": "+1-941-555-0100",
"address": {
"@type": "PostalAddress",
"streetAddress": "100 Main Street",
"addressLocality": "Sarasota",
"addressRegion": "FL",
"postalCode": "34236",
"addressCountry": "US"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 27.33643,
"longitude": -82.53065
},
"openingHoursSpecification": [{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "08:00",
"closes": "17:00"
}],
"areaServed": [
{"@type": "County", "name": "Sarasota County"},
{"@type": "County", "name": "Manatee County"}
],
"sameAs": [
"https://www.facebook.com/example",
"https://www.linkedin.com/company/example",
"https://www.bbb.org/example"
]
}
</script>Every value should match your page and Google Business Profile. Google advises that structured data match visible content (Google Search Central).
Example 5: Entity consistency and sameAs
Schema.org defines sameAs as the URL of a reference page that “unambiguously indicates the item’s identity” (Schema.org).
- Before: “Coastal Roofing LLC” on the website, “Coastal Roofing & Solar” on Google, an old phone number on Yelp and a former address on the BBB.
- After: One exact name, one address, one phone number on every profile, with each profile listed in sameAs.
When the facts disagree, an AI system has to guess which version is true.
What are AEO examples for a local business?
Example 6: One page per service
- Before: A single “Services” page with a bulleted list: roof repair, roof replacement, tile roofs, metal roofs, storm damage.
- After: Five pages, each with its own answer-first paragraph, price factors, timeline, FAQs and a Service schema block that references the business by its @id.
Someone asking ChatGPT “who installs metal roofs near Venice, Florida” needs a page about exactly that.
Example 7: Reviews that mention services and cities
Google says local results are based mainly on relevance, distance and prominence, and that more reviews and positive ratings can help local ranking (Google Business Profile Help).
- Before: “Great job, thanks!”
- After: “They replaced our tile roof in Lakewood Ranch after the storm and handled the insurance paperwork.”
You cannot write reviews for customers, and you should never offer anything in exchange. You can make the request specific: “It helps other homeowners to hear what we did and where.” This is the core of our reviews and Google Business Profile work.
Example 8: Google Business Profile categories and answers
Google advises choosing categories that complete the statement “This business IS a,” not “this business HAS a,” and to use as few as possible (Google Business Profile Help).
- Before: Primary category “Contractor,” plus eight loosely related extras.
- After: Primary category “Roofing contractor,” with two or three secondary categories you can back up with real service pages.
A note on Q&A: Google discontinued the Business Profile Q&A API on November 3, 2025 while it reworks the feature (Google for Developers). Put your common customer questions and answers on your website and in your business description instead.
How do you make a site readable for AI crawlers?
Example 9: A robots.txt that lets AI search crawlers in
OpenAI states that sites blocking OAI-SearchBot will not be shown in ChatGPT search answers, though they can still appear as navigational links (OpenAI).
- Before: A security plugin that blocks AI search crawlers.
- After: Explicit allow rules for the crawlers you want.
Our own robots.txt is a public example. It allows GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended and others, while still blocking /wp-admin/ and internal search URLs.
Example 10: An llms.txt file
llms.txt is a proposal by Jeremy Howard, first published in 2024, for a Markdown file at your site root that gives AI agents a concise map of your key content (llmstxt.org). It is a proposed convention, not a ranking factor any engine has confirmed, so treat it as a low-cost extra rather than a priority.
- Before: Nothing at /llms.txt.
- After: An H1 with your business name, then sections listing your key pages with a one-sentence summary of each.
You can see ours at agenticgrowthengine.com/llms.txt. Rank Math generates it.
What content formats get quoted by answer engines?
Example 11: A comparison page
Buyers ask AI tools to compare options. If you do not publish a fair comparison, someone else will.
- Before: A blog post titled “Why Metal Roofs Are the Best.”
- After: “Metal vs tile roofs in Florida: cost, lifespan and hurricane performance,” with a simple table and a plain recommendation for each type of homeowner.
| AEO element | Weak version | Quotable version |
|---|---|---|
| Opening paragraph | Slogan and adjectives | Service, area, timeframe, proof in 40 to 60 words |
| Headings | “Our Process” | The question buyers actually ask |
| Schema | None or generic | Specific subtype with matching facts and sameAs |
| Services | One list page | One page per service |
| Reviews | “Great job!” | Service and city named by the customer |
| Comparisons | One-sided sales copy | Fair table with a clear recommendation |
Example 12: Author bylines that show E-E-A-T
Google’s guidance asks whether it is self-evident who wrote your content, and recommends bylines that link to background information about the author. E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness, with trust the most important (Google Search Central).
- Before: “Posted by admin.”
- After: “By Maria Lopez, Florida-licensed roofing contractor with 18 years of storm repair experience,” linking to an author page with Person schema.
This article follows the same pattern: see the byline at the top of the page.
Where should a service business start?
Do these in order.
- Open robots.txt to AI search crawlers and confirm your pages render as text.
- Make your name, address, phone and hours identical everywhere.
- Rewrite the first paragraph of your homepage and top service pages to answer first.
- Add LocalBusiness schema with the right subtype and sameAs links.
- Split your services into dedicated pages with FAQs.
- Ask for specific reviews and fix your Business Profile categories.
- Add comparison pages, author bylines and an llms.txt.
For the full playbook by platform, see how to get recommended by ChatGPT and how to show up in Google AI Overviews.
Frequently asked questions
What is an example of answer engine optimization?
A simple example is rewriting the first paragraph of a service page so it answers the buyer’s question directly. Instead of “We are passionate about quality,” the page says what you do, where you do it, how long it takes and why you are trustworthy, in about 40 to 60 words. That short, factual passage is easy for ChatGPT or Google AI Overviews to quote.
Does FAQ schema still help with AEO in 2026?
FAQ rich results stopped appearing in Google Search on May 7, 2026, so FAQ schema no longer produces the expandable answers in results. FAQPage is still a valid Schema.org type and keeping it causes no harm. The real value is the visible FAQ content: clear question and answer pairs that people read and that AI systems can understand and reuse.
What schema should a local service business use?
Use LocalBusiness structured data with the most specific subtype available, such as RoofingContractor, Plumber, Electrician or Dentist. Include at least name and address, then telephone, URL, hours, geo coordinates, area served and sameAs links to your official profiles. Every value should match your visible page content and your Google Business Profile exactly.
Is llms.txt required for AI visibility?
No. llms.txt is a proposed standard, first published in 2024, for a Markdown file that summarizes a site’s key pages for AI agents. No major answer engine has confirmed it as a ranking factor. It takes minutes to add, especially with SEO plugins that generate it, so it is a reasonable extra after the basics like crawler access, schema and answer-first content are done.
How do reviews affect AI answers about local businesses?
Google says more reviews and positive ratings can help local ranking, and AI tools can read the same public reviews when describing businesses. Reviews that mention the specific service and city give those systems concrete evidence of what you do and where. Ask customers to describe the job in their own words, and never offer incentives for reviews.
How long does AEO take to show results?
Technical fixes like crawler access and schema take effect once pages are recrawled. Content depth, reviews and entity consistency build more slowly, over months rather than days. Timing varies by market and competition, so the practical approach is to fix the foundations first, then track whether AI tools mention and describe your business accurately each month.
Next step
Want to know which of these examples your site is missing? Get a free AEO and SEO visibility audit. We check AI crawler access, schema, entity consistency, answer readiness and your local profile, then show you where you stand. To see how we fix it, look at our AI visibility and AEO service.
About the author
Andy Rodriguez is the founder of Agentic Growth Engine and Co-Founder and CEO of Florida Professionals Association, a statewide business community of over 12,000 businesses. He has nearly 30 years in online marketing, was a pioneer of affiliate marketing and was named Affiliate Marketing Manager of the Year in 2002. Today he helps service businesses get found in AI answers, convert more visitors and follow up with every lead automatically.