There’s a new question we’re starting to hear around websites and SEO:

How do I get my business to show up when someone asks ChatGPT, Google AI or another AI tool for a recommendation?

It’s a good question.

People aren’t only searching the way they used to. Instead of typing a few keywords into Google, opening several websites and comparing the results themselves, they can now ask something much more specific:

Who can build a website for a small service business in Palm Beach County that also needs online estimates and customer intake?

Or:

What’s the best way for an HOA landscaping company to let residents submit service requests online?

Or even:

Find me a local company that can redesign my WordPress website and connect it with the other tools my business uses.

AI systems can research that question, compare information from different sources and present an answer.

That changes something important about online visibility.

Being found isn’t only about earning a position in a list of search results anymore. Your website also needs to be understandable enough to become part of the answer.

So what can a business actually do about that?

We went directly to the current documentation from Google, OpenAI and Microsoft rather than relying on the growing collection of theories surrounding “GEO,” “AEO” and AI search optimization.

What we found is encouraging.

You probably don’t need an entirely new AI strategy.

You need a better website, clearer information and stronger evidence that your business actually knows what it’s talking about.

First, Understand What AI Search Is Actually Doing

AI search can look almost magical from the outside, but an important part of the process is fairly practical.

The system needs information.

Google explains in its official guide to optimizing for generative AI search that its AI features use techniques including retrieval-augmented generation, or grounding.

In plain English, Google can retrieve current information from pages in its search index and use that information to help construct an AI-generated response.

Google also describes something called query fan-out.

Instead of treating someone’s question as one search, the system can generate several related searches to explore different parts of the question.

That matters for businesses.

A potential customer may ask one complicated question, while the AI system researches several smaller questions behind the scenes.

Your website doesn’t necessarily need a page targeting every one of those possible searches.

It needs useful information that helps answer them.

The Goal Isn’t Just Ranking. It’s Becoming a Useful Source.

This may be the most useful way for a business owner to think about AI search.

Traditional SEO often encourages us to ask:

How do we rank this page?

AI search adds another question:

What information on this page would be useful enough for an AI system to retrieve, cite or use when answering someone’s question?

Microsoft is already giving website owners a glimpse into this.

In 2026, Bing Webmaster Tools introduced AI Performance reporting showing when pages are cited in AI-generated answers across Microsoft Copilot, Bing and supported partner experiences.

The reporting includes cited pages and what Microsoft calls “grounding queries”—the phrases AI systems used while retrieving information for an answer.

That’s a significant shift.

We’re moving from measuring only rankings and clicks toward also being able to see whether a website is being used as a source.

1. Make Sure AI Search Can Actually Access Your Website

Before worrying about content strategy, start with something much less exciting:

Can the systems actually get into your website?

Google says pages need to be crawlable, indexed and eligible to appear in Search to participate in its generative AI search experiences.

OpenAI has a similar requirement.

According to OpenAI’s guidance for publishers, public websites can appear in ChatGPT search. To help ensure that content can be discovered, surfaced and cited, a website should allow OAI-SearchBot to crawl the relevant pages.

That means your robots.txt file, firewall, security plugins, CDN and bot-protection settings matter.

A website can contain fantastic information and still create a problem if the systems trying to retrieve it are being blocked before they ever reach the page.

This is one of the first things we would check on a business website preparing for AI search:

• Is the site publicly crawlable?
• Are important pages indexable?
• Is Google Search Console configured?
• Is Bing Webmaster Tools configured?
• Is OAI-SearchBot being unintentionally blocked?
• Are security or firewall rules rejecting legitimate crawlers?
• Is the XML sitemap current?
• Are canonical URLs clear?

None of that is particularly glamorous.

But if the answer engine can’t reliably access the information, everything else becomes considerably less important.

2. Clearly Explain What Your Business Actually Does

This sounds obvious.

It’s not.

We’ve worked on plenty of business websites where a human can eventually figure out what the company does, but the important information is scattered across slogans, images, service pages and vague marketing language.

Imagine trying to determine whether a company is a good recommendation from sentences like:

Transforming possibilities into extraordinary digital experiences.

What does that business actually do?

Who does it for?

Where?

What problems does it solve?

AI search gives businesses another reason to answer those questions plainly.

A website should make important facts easy to understand:

• What the business does
• Who it serves
• Where it operates
• What individual services it provides
• What problems those services solve
• What makes its approach different
• Who is behind the business
• How someone can work with it

Clarity has always been good for customers. Now it’s increasingly important for machines trying to understand the same business.

3. Publish Information That an AI Answer Would Actually Need

This connects directly with our recent article about AI-generated content and SEO in 2026.

Google’s new generative AI guidance puts particular emphasis on what it calls non-commodity content.

Google specifically recommends bringing a unique viewpoint and firsthand experience to your content instead of simply recycling information already available elsewhere.

That’s important for AI visibility because generic information is easy to find.

If 5,000 websites say essentially the same thing, your version isn’t adding much to the information environment.

Instead, publish the things your business actually knows.

For Grassroots, that could mean explaining why a customer intake form sometimes needs routing logic instead of simply emailing every submission to one person.

A landscaper could explain what property managers should include when submitting a service request so crews can respond correctly the first time.

An attorney could explain a commonly misunderstood part of the process clients encounter before calling the office.

A contractor could document what homeowners should check before comparing two estimates that appear to cover the same work.

Those are useful answers.

They’re also based on actual experience.

4. Answer Specific Questions, Not Just Broad Keywords

AI search makes this especially interesting.

People can ask much more complicated questions than they typically typed into a traditional search box.

That doesn’t mean creating hundreds of pages for every imaginable question.

Google explicitly warns against doing that simply to manipulate AI search visibility.

Instead, build genuinely useful pages around the subjects your customers care about.

Within those pages, answer the natural questions that belong there.

For example, a useful website-design article might naturally answer:

• How much information belongs on a service page?
• Should every service have its own page?
• When should pricing be published?
• What should happen after someone submits a form?
• Does a local business need separate pages for every city it serves?

Clear headings help people scan those answers.

They also make the subject matter of the page easier to understand.

But don’t turn the article into a collection of awkward questions simply because someone said AI likes FAQs.

Write the page for the person. Structure it so the information is easy to find.

5. Support Important Claims With Good Sources

This is one of the reasons we’ve strengthened the sourcing standard for Grassroots Insights.

If we tell you Google recommends something, you should be able to see Google’s documentation.

If we quote a local statistic, you should be able to see where that statistic came from.

If we’re discussing a study, the original research should be available whenever possible.

That makes the article more useful for a person.

It also creates clearer context around where information originated.

Microsoft’s own guidance for improving content used in AI answers recommends supporting claims with evidence, examples, data and cited sources.

So linking to authoritative sources isn’t simply academic housekeeping.

It helps turn a page from an unsupported assertion into a useful research source.

6. Give AI Systems Consistent Information About Your Business

For a local business, your website isn’t the only place information about you exists.

There may also be:

• Your Google Business Profile
• Bing business information
• Professional directories
• Industry associations
• Social profiles
• Review sites
• News coverage
• Customer reviews
• Other websites linking to or discussing your business

Google’s generative AI optimization guidance specifically recommends maintaining accurate local business information and says Google Business Profile can help services and business details become visible in both AI responses and other Google Search results.

That gives local businesses another reason to keep those details accurate.

Your business name shouldn’t be one thing on the website and another somewhere else.

Your service descriptions shouldn’t contradict one another.

Your address, hours and contact information should be current.

Your website should reinforce what the rest of the web says the business actually is.

For a Palm Beach County business, local relevance should also be real.

Don’t create 20 nearly identical pages with West Palm Beach swapped for Wellington, Boynton Beach, Boca Raton and Jupiter.

Talk about the communities you actually serve when location genuinely matters to the subject.

7. Use Structured Data, But Don’t Treat Schema Like an AI Cheat Code

Structured data still has a place.

It can help search engines understand information about organizations, articles, products, events and other content.

For example, an article can use Article or BlogPosting structured data to identify its headline, author, publication date, modified date and image.

A local business can provide appropriate organization and local-business information.

But here’s where the AI-search industry can get ahead of itself.

Google explicitly says there is no special structured data required for generative AI search.

It also says you don’t need special AI markup or an llms.txt file to improve visibility in Google Search.

Structured data is useful when it accurately describes what is visibly on the page.

It isn’t a substitute for the page itself being useful.

8. Use Original Images and Useful Visual Information

AI search isn’t limited to text.

Google’s guidance specifically recommends high-quality images and video when they genuinely help the audience because those assets can create additional opportunities to appear in generative search experiences.

For many small businesses, this is an underused advantage.

Show the actual work.

Show the project.

Show the person providing the service.

Show before and after examples when appropriate.

Show the thing you’re explaining.

A library of original visual material is much harder for a generic competitor to reproduce than another stock image of two people shaking hands.

9. Make Your Website Understandable to AI Agents Too

Search isn’t the only thing evolving.

AI agents are beginning to do things on behalf of users rather than simply provide answers.

Google’s current guidance discusses browser agents that can inspect a website’s DOM, accessibility tree and visual interface while trying to complete tasks.

OpenAI similarly recommends accessibility practices such as descriptive ARIA labels and roles to help browser agents understand interactive elements.

This starts moving beyond traditional SEO.

A website may increasingly need to be understandable not only to a person and a search crawler, but also to software attempting to use the website on that person’s behalf.

That makes familiar website fundamentals even more valuable:

• Clearly labeled buttons
• Understandable forms
• Logical navigation
• Accessible interactive elements
• Clear service and product information
• Predictable actions
• Useful confirmation messages

Again, the interesting thing is that most of these changes also make the website better for humans.

10. Start Measuring AI Visibility Instead of Guessing

This is one of the biggest developments of 2026.

We no longer have to treat all AI-search visibility as a black box.

Google has rolled out Generative AI performance reporting in Search Console, giving website owners dedicated visibility into impressions from AI features such as AI Overviews and AI Mode.

Bing’s AI Performance reporting provides another perspective by showing citations, cited URLs and grounding-query information across supported Microsoft AI experiences.

And OpenAI says referrals from ChatGPT search include a utm_source=chatgpt.com parameter, making that incoming traffic identifiable in analytics platforms such as Google Analytics.

That means businesses can begin asking better questions:

• Which pages are appearing in AI search?
• Which subjects are getting cited?
• What kinds of questions are leading systems to our content?
• Is ChatGPT actually sending visitors?
• Which pages have traditional search visibility but little AI visibility?
• What useful information could make those pages better sources?

Measure first. Then improve what the data tells you to improve.

What About GEO, AEO and All the New AI Optimization Services?

You’ll increasingly see services described as Generative Engine Optimization, Answer Engine Optimization, AI SEO and probably several other names that haven’t been invented yet.

Some of that work is legitimate.

Understanding how AI systems retrieve and cite information is becoming a real part of search strategy.

But businesses should be careful about anyone presenting AI visibility as if there’s a secret technical shortcut.

Google’s own position is remarkably straightforward: optimizing for its generative AI experiences is still fundamentally SEO.

The company specifically warns against overfocusing on supposed AI tricks such as special AI files, artificial mentions, unnecessary content “chunking” or rewriting everything specifically for AI systems.

That’s worth remembering.

Don’t rebuild a perfectly good website around someone’s theory about what an AI model might like.

Start with what the systems themselves are telling us.

So What Would We Actually Do to a Small Business Website?

If a Palm Beach County business came to Grassroots today and said, “I want my website to be better prepared for AI search,” we wouldn’t begin by installing an AI plugin.

We’d start by looking at the foundation.

Can the site be crawled?

Does it clearly explain the business?

Are the services understandable?

Does each important page actually contain useful information?

Does the business demonstrate real experience?

Are important claims supported?

Is local information accurate?

Are the website, Google Business Profile and other important sources telling a consistent story?

Is the content organized clearly?

Are appropriate structured data and technical SEO already in place?

Are images useful and original?

Can people—and increasingly agents—understand the forms and actions on the site?

Are Search Console, Bing Webmaster Tools and analytics configured so we can measure what happens next?

Only after answering those questions would we start looking for more specialized opportunities.

The Best AI Search Strategy May Be a Better Website

Grassroots also helps businesses strengthen visibility across traditional and AI-assisted search through our SEO, local search, AEO and GEO services, and broader AI consulting and automation when the opportunity extends beyond search.

There’s something almost reassuring about all of this.

The internet is changing quickly.

The interface between customers and businesses is changing.

And AI will undoubtedly create new optimization techniques that don’t exist yet.

But the current guidance from the companies actually building these systems keeps returning to remarkably familiar principles:

Be accessible.

Be clear.

Be useful.

Know what you’re talking about.

Provide information other people don’t already have.

Support what you say.

Keep your information accurate.

Make the website work well.

Those aren’t AI tricks.

They’re the characteristics of a strong digital foundation.

The difference is that your next website visitor may not always discover you by clicking the tenth blue link on a search-results page.

They may ask an AI system a question.

Your job is to make sure your business has given that system something useful, accurate and trustworthy to find.

If you’re wondering whether your website is ready for the way people are starting to search—or what practical changes would make it easier for traditional search engines and AI systems to understand your business—we can take a look at the foundation first.

Tell us what you’re trying to accomplish.

We’ll start there.

Schedule a Complimentary Discovery Call →

Built in collaboration with ChatGPT.

The post How to Make Your Website More Visible in AI Search: What Businesses Should Actually Do in 2026 appeared first on Grassroots Consulting.

A couple of years ago, one of the biggest questions surrounding AI and SEO was pretty straightforward:

Will Google penalize my website if I use AI-generated content?

In 2026, that’s no longer the most useful question.

AI is now part of how content is researched, written, edited and published. It’s also becoming part of how people search for information in the first place.

Google Search now includes AI Overviews and AI Mode. Businesses are wondering how they appear in AI-generated answers. And there seems to be a new acronym or optimization strategy every few months promising to replace traditional SEO.

So the better question today is:

If everyone has access to AI, what makes your content worth finding?

Google’s own guidance provides a surprisingly straightforward answer.

AI itself isn’t the problem.

Content that doesn’t add much value is.

Does Google Penalize AI-Generated Content in 2026?

Not simply because AI was used to create it.

Google’s current guidance continues to focus on the purpose and quality of the content rather than whether a person typed every word manually.

At the same time, Google’s spam policies explicitly identify using generative AI to produce large numbers of pages without adding value for users as an example of scaled content abuse.

That’s an important distinction.

Using AI to help research, organize, develop or improve useful content is very different from asking a tool to produce 500 articles about every keyword remotely related to your business and publishing them without meaningful editorial involvement.

One uses AI as a tool.

The other uses AI as a content factory.

And in 2026, that difference matters more than ever.

The Bigger Problem: AI Has Made Average Content Incredibly Easy to Produce

Before generative AI, producing a 1,500-word article took time.

Someone had to research it, organize the information, write it, edit it and publish it.

That effort didn’t guarantee a good article, of course. But it created some friction.

AI removed much of that friction.

Today, virtually any business can generate an article about:

• “10 Benefits of Professional Web Design”
• “Why SEO Is Important for Small Businesses”
• “5 Ways to Improve Your Digital Marketing”
• “The Benefits of AI for Your Business”

in a matter of seconds.

The article may be grammatically correct.

It may have headings.

It may include keywords.

It may even be factually accurate.

But here’s the problem:

Thousands of other businesses can generate essentially the same article.

That’s where the SEO conversation around AI needs to go in 2026.

The question isn’t whether AI can produce content.

Obviously it can.

The question is whether the resulting content gives Google—or a person—any particular reason to choose your version.

Google Is Looking for Content That Adds Something

In 2026, Google expanded its guidance around optimization for generative AI features in Search while continuing to emphasize useful, original content and established SEO fundamentals.

One useful way to think about this is the difference between commodity content and content that actually contributes something.

Commodity content is information that can be found almost anywhere.

For example:

A responsive website is important because more consumers use mobile devices to browse the internet.

That’s true.

It’s also something thousands of websites have already said.

Compare that with a web designer explaining what they’ve repeatedly discovered while rebuilding websites for actual small businesses, where mobile customers get stuck, which calls to action tend to create confusion, and what changes solved those problems.

Now we have something different.

There’s experience behind it.

There’s context.

There’s a point of view.

There’s something another website can’t reproduce simply by asking AI the same question.

That’s increasingly where the value is.

What About E-E-A-T?

Google’s concept of E-E-A-T—Experience, Expertise, Authoritativeness and Trustworthiness—remains useful when thinking about content quality.

But one word has become particularly important in the age of AI:

Experience.

AI can summarize what has already been written.

It can organize ideas.

It can compare sources.

It can help explain complicated subjects.

What it can’t independently possess is your experience running your business.

It wasn’t in the room with your customer.

It didn’t discover why your intake process kept failing.

It didn’t spend 18 years building websites for business owners.

It didn’t learn which questions clients repeatedly ask before deciding to move forward.

It didn’t make the mistake, fix the mistake and learn something from it.

You did.

That’s information worth putting into your content.

So Should Businesses Use AI to Write Content?

Yes—when it genuinely helps.

The argument that every word must be manually typed by a human to have value doesn’t make much sense either.

We use calculators without questioning whether the accountant still understands accounting.

Photographers use editing software.

Developers use frameworks and code-assistance tools.

Businesses automate processes that once required manual work.

AI is another tool.

It can be extremely useful for:

• Researching a subject
• Identifying questions people are asking
• Organizing complicated information
• Finding gaps in an argument
• Developing an outline
• Checking clarity
• Comparing sources
• Suggesting alternative explanations
• Editing and proofreading
• Creating structured data
• Generating ideas you may not have considered

But the tool shouldn’t become the authorial point of view.

Your business still needs to contribute something.

A Simple Test Before Publishing AI-Assisted Content

Before publishing an article, ask yourself:

Could essentially the same article have appeared on 100 other websites?

If the answer is yes, you’re probably not finished.

Add something.

What have you seen?

What do customers misunderstand?

What advice do you give people that differs from the usual answer?

What happened when you tried this yourself?

What examples can you provide?

What local knowledge matters?

What assumptions do you disagree with?

What have you learned after doing the work repeatedly?

Those things turn information into expertise.

And they make an article considerably harder to duplicate.

Search Has Changed Too

There’s another reason this matters in 2026.

Google isn’t only returning a traditional list of links anymore.

AI Overviews can summarize a subject directly in search results, while AI Mode lets users explore more complicated questions through an AI-generated experience supported by web sources.

Google explains that these systems may use a process called query fan-out, where multiple related searches are performed across subtopics and sources to construct an answer.

Think about what that means for content strategy.

A person may no longer search only:

web design Palm Beach County

They might ask:

What should a Palm Beach County service business include on its website if most customers request estimates from their phones?

Or:

Should I rebuild my website or just improve the forms and booking process?

Or:

Why does my website get traffic but very few customer inquiries?

Those are much more specific questions.

And specific questions create opportunities for businesses with genuine experience to provide genuinely useful answers.

Do You Need to Optimize for AI Overviews and AI Mode?

Yes, but probably not in the way you think.

There is now an entire industry forming around terms like AEO, GEO and AI search optimization.

Some of that work is useful.

Some of it is old-fashioned SEO wearing a new name.

Google’s own guidance is unusually clear on this point: there are no additional technical requirements for appearing in AI Overviews or AI Mode beyond being eligible for Google Search and snippets. Established SEO fundamentals continue to apply.

Google also says you don’t need special AI files or special schema markup to appear in these features.

So before paying someone to perform mysterious “AI optimization,” make sure the fundamentals are right.

• Can Google crawl the page?
• Can Google understand it?
• Does the page answer something useful?
• Is the information accurate?
• Is there original value?
• Are important ideas available as actual text?
• Does the website have sensible internal links?
• Do structured data and visible content agree?
• Is your Google Business Profile accurate if you’re a local business?

Those things still matter.

AI Search Actually Makes Original Expertise More Important

There’s an interesting irony here.

AI made generic content much easier to create.

At the same time, AI-powered search may make generic content less useful as a competitive advantage.

If a search engine can summarize the same basic information from dozens of websites, why does it need another article saying exactly the same thing?

Your opportunity is to contribute something the summary needs a source for.

• Original research
• Firsthand observations
• Specific examples
• Useful photographs
• Local knowledge
• Detailed comparisons
• Actual case experience
• Clear explanations from someone who does the work

That’s not really a new SEO trick.

It’s a return to something we’ve been telling clients for years:

Give people a reason to care about what you have to say.

Local Businesses Have an Advantage Here

For businesses in Palm Beach County, there’s an opportunity that generic national content can’t easily reproduce.

You actually know the market.

A contractor working in Wellington knows things about serving Wellington homeowners that a national content writer doesn’t.

A property-service company working with South Florida HOAs understands problems that aren’t obvious from reading a generic landscaping article.

A professional serving clients in West Palm Beach, Lake Worth Beach, Boynton Beach, Delray Beach, Boca Raton or Jupiter hears questions and encounters situations specific to those customers.

That experience is content.

Local SEO shouldn’t mean taking a generic article and inserting “Palm Beach County” twelve times.

It should mean creating something that’s genuinely more useful because the person writing it understands the people, businesses and market they’re talking about.

That’s a much stronger local signal because it also creates a better article.

Don’t Publish Content Just Because You Can

This may be the biggest change businesses need to make in the AI era.

AI makes publishing cheap.

That doesn’t mean you should publish more.

Sometimes you should publish less, but better.

One article based on a question your customers genuinely ask, supported by firsthand experience, original observations, good research and useful examples may contribute far more to your website than 20 generic posts created to fill a content calendar.

Google’s spam policies specifically target scaled content created primarily to manipulate rankings, regardless of whether that content was produced with AI, human writers or some combination of the two.

The problem isn’t scale itself.

The problem is producing things at scale that aren’t really helping anybody.

Human Review Means More Than Proofreading

One recommendation from our original article deserves an update.

We previously emphasized human oversight of AI-generated content.

That’s still important.

But oversight shouldn’t mean reading an AI article, fixing three commas and clicking Publish.

Human involvement should happen much earlier.

A person should decide:

• Why are we writing this?
• Who needs it?
• What do we know about this that isn’t obvious?
• Which claims need verification?
• What’s missing from the common advice?
• What examples come from our experience?
• Does this actually sound like us?
• Would we give this advice to a customer sitting across the table?

That’s editorial involvement.

The human isn’t simply checking the AI’s work.

The AI is helping with the human’s work.

That’s a much healthier relationship.

Accuracy Matters More When AI Makes Mistakes Sound Convincing

There’s another practical reason human involvement matters.

AI can be wrong.

Worse, it can be wrong while sounding completely confident.

Statistics change.

Software changes.

Laws change.

Google changes its documentation.

Companies change policies.

Sources get misinterpreted.

That’s why factual claims—particularly current claims—should be checked against reliable sources before publication.

For this article, for example, we went back to Google’s current Search Central documentation rather than simply updating the year in our 2025 article.

That’s the standard businesses should apply to their own content.

If you’re publishing something as an expert, you’re responsible for what it says.

AI doesn’t change that.

What About Disclosing That AI Helped?

Transparency is still a good practice, but it doesn’t need to become a warning label.

If AI materially assisted in creating an article, there’s nothing wrong with saying so.

What matters more is who stands behind the finished work.

Was it reviewed?

Were the claims verified?

Did someone with actual knowledge contribute?

Does the business take responsibility for what’s being published?

For Grassroots, we use a very simple disclosure:

Built in collaboration with ChatGPT.

That’s accurate.

AI contributes to the process.

So do years of client work, firsthand experience, research, editorial judgment and the point of view behind the article.

What Should an AI-Assisted Content Strategy Look Like in 2026?

Start with questions, not keywords.

Listen to your customers.

Pay attention to what they ask during sales calls.

Look at what they misunderstand.

Notice where people get stuck.

Look at Search Console and see what they’re already finding you for.

Research what people are actually searching for.

Then choose subjects where your business has something useful to contribute.

Use AI where it makes the process better.

Research more deeply.

Explore competing arguments.

Organize the material.

Challenge your assumptions.

Improve clarity.

But don’t hand your company’s expertise over to the tool.

AI should help you express what you know, not manufacture expertise you don’t have.

The Standard Is Higher Now. That’s a Good Thing.

The internet doesn’t need another generic article explaining that SEO is important.

It doesn’t need another 1,500 words created simply because a keyword has search volume.

And your business doesn’t need to compete by producing more of the same.

AI gives small businesses access to research and content-development capabilities that would have been expensive or impractical only a few years ago.

That’s a tremendous opportunity.

But the businesses that get the most from it won’t necessarily be the ones publishing the most AI-generated content.

They’ll be the ones using AI to make their own knowledge more useful, accessible and discoverable.

That’s the difference between using AI to produce content and using AI to build something worth finding.

At Grassroots, that’s how we’re approaching AI, SEO and content development in 2026.

We use the technology.

We just don’t let the technology become the strategy.

If you’re trying to figure out how AI, SEO and content should fit into your business’s digital foundation, you don’t need to start with a particular tool or tactic.

Grassroots helps small businesses connect those pieces through AI consulting and automation and SEO, local search, AEO and GEO services.

Tell us what you’re trying to accomplish.

We’ll start there.

Schedule a Complimentary Discovery Call →

Built in collaboration with ChatGPT.

The post AI-Generated Content and SEO in 2026: What Actually Matters Now appeared first on Grassroots Consulting.