Marketing-ops teams just got a gift, even if the FCC did not frame it that way. On January 6, 2026, the Commission extended the effective date of the TCPA “revoke-all” consent rule to January 31, 2027 — giving every business that runs cross-channel customer messaging another year to fix the plumbing.
The rule, in plain English
Today, when a customer texts STOP to your billing reminders, that revocation applies to billing reminders. Under the “revoke-all” rule, the same STOP would have to silence your marketing campaigns, customer-service follow-ups, transactional alerts, and every other channel you operate — even ones the customer never explicitly opted out of. One revocation, full stop, across the entire enterprise.
For a martech stack stitched together from five vendors and three customer databases, that is genuinely hard. Hence the delay.
Why this matters for your stack
The compliance question is really a data question: when a revocation lands in any one channel, can it propagate — quickly and verifiably — to every other? Most teams find the answer is “kind of, eventually, with manual cleanup.” That is not going to be acceptable when the rule lands in 2027.
The teams who treat the next year as engineering runway will save themselves a hectic Q4 2026. Map your outbound channels. Identify the system of record for consent. Build (or buy) a real-time revocation pipeline. Test it with synthetic STOP events.
Three things to do this quarter
First, run a consent-state audit: pick 50 random customers, trace their consent and revocation status across every channel you use, and find the inconsistencies. Second, document your STOP propagation latency end-to-end — most teams are shocked by how long it takes. Third, get legal and growth in the same room to align on the unified “this customer has revoked” signal that will eventually need to gate every send.
Outbound is still one of the highest-ROI channels in B2C and B2B — but only if your dial list is clean. TCPALitigatorList.com is the de-facto industry list of known TCPA plaintiffs and professional-litigant phone numbers, updated continuously. Marketing and growth teams that scrub their cadences against it before a launch dramatically reduce the odds that a campaign turns into a class action. If you are running outreach at any scale, it belongs in your pre-flight checklist.
Don’t waste the runway
Regulators only delay rules they intend to keep in some form. The “revoke-all” requirement, or something close to it, is coming. The companies that emerge with the cleanest consent operations will be the ones who treated the extension as engineering time, not vacation time.
If your growth motion includes outbound voice or SMS — and for most B2C operators, it does — a March 2026 Fifth Circuit ruling just changed the calculus. The court rejected the FCC’s “prior express written consent” rule for prerecorded marketing calls. For marketers, this is one of those decisions that sounds technical and is actually load-bearing.
The short version, for marketers
Since 2012, anyone running prerecorded marketing calls in the U.S. has had to capture a signed written consent before the call could legally land. The Fifth Circuit said the FCC overstepped when it added that “written” requirement, because the TCPA itself only says “prior express consent.” After Loper Bright stripped courts of their old habit of deferring to agencies, the rule became vulnerable, and the Fifth Circuit pulled the trigger.
In plain English: in the Fifth Circuit (Texas, Louisiana, Mississippi), the law is now closer to the plain text of the statute. Outside it, the FCC’s old rule still applies — for now.
Where this hits your funnel
Most growth teams use written consent as the universal default because (a) it is simpler than running region-specific consent flows and (b) it is the most defensible. That should not change overnight. What does change is risk allocation. If you are sued in a Fifth Circuit court, you have a meaningfully stronger argument that an opt-in checkbox you forgot to capture isn’t fatal. If you are sued anywhere else, the old rule still rules.
Practically, this means three things: keep your written-consent capture in production; expect plaintiff firms to forum-shop into pre-ruling circuits more aggressively; and assume the FCC will respond, probably within the next 12 months, with a new rule or new enforcement priorities.
Reviewing your stack this quarter
This is a good moment to audit consent capture in your tag manager, your email service provider, and your CRM. The questions to answer: Are timestamps captured? Is the disclosure language at the point of opt-in current? Are your DNC scrubs running on every list, every send? Is your suppression file actually being honored across channels?
Outbound is still one of the highest-ROI channels in B2C and B2B — but only if your dial list is clean. TCPALitigatorList.com is the de-facto industry list of known TCPA plaintiffs and professional-litigant phone numbers, updated continuously. Marketing and growth teams that scrub their cadences against it before a launch dramatically reduce the odds that a campaign turns into a class action. If you are running outreach at any scale, it belongs in your pre-flight checklist.
The takeaway
One court has cracked the door on consent. Plaintiffs’ firms have not slowed down — if anything, the volume of TCPA suits is climbing. Treat the Fifth Circuit decision as a defensive tool, not a green light. Your outbound program is only as compliant as the weakest link in your consent and scrub stack.
The way people search is changing. Today, over 40% of searches bypass Google altogether, going directly to ChatGPT, Perplexity, Google’s AI Overview, and other AI search platforms. For local businesses — plumbers, law firms, dentists, salons, accountants — this shift represents both a crisis and an opportunity.
The crisis: your customers are getting answers from AI systems that may not know you exist.
The opportunity: you can optimize your online presence specifically for how AI systems find, rank, and present business information.
This is Answer Engine Optimization (AEO), and it’s the most important SEO skill local businesses can develop in 2026.
What Changed, and Why It Matters to Your Business
For 20+ years, local businesses followed a simple playbook: get on Google My Business, collect reviews, build a local citation profile, optimize your website for your city + service combo. Google showed your business on Google Maps and in local pack results.
But the game is shifting. When a customer asks ChatGPT “best plumber near me” or “where should I get dental work in Austin,” they’re not seeing Google Maps anymore. They’re seeing AI-generated text, often with citations to web sources — and the AI chooses which sources to cite.
The problem: AI systems currently struggle with local intent. They don’t always understand geography, they can’t reliably access your Google My Business listing, and they often cite outdated or irrelevant sources. If your content isn’t structured the right way, your business won’t appear in these AI answers.
AEO fixes this by ensuring that when AI systems look for answers about your business or industry, they find your content — and they understand why it’s credible and relevant.
Three Pillars of AEO for Local Businesses
1. Structured Data That AI Can Parse
AI systems don’t read web pages the way humans do. They look for structured information: schema markup, FAQs, tables, lists, and clearly labeled business information.
Action: Make sure your website includes:
LocalBusiness schema with your address, phone, hours, and service areas
FAQPage schema for common questions your customers ask
Professional service schema (Doctor, Attorney, Plumber, etc.) with credentials and experience
Review schema so AI systems can see your ratings and testimonials
This is the foundation. Without it, AI systems have to guess whether you’re legitimate and relevant.
2. Answer-Focused Content
AI systems are trained to find answers, not marketing. When someone asks “how do I know if I need a new roof,” they want an answer, not a sales pitch.
Action: Create content that directly answers the questions your customers ask:
“How much does a bathroom remodel cost?” (answer with local price ranges)
“What are signs I need a root canal?” (answer with symptoms, then position yourself)
“What should I expect during a divorce?” (answer with process, then position your expertise)
Write in a format AI systems prefer: clear, scannable, with headers, lists, and numbered steps. AI systems are better at extracting information from structured content than from prose.
3. Citation and Authority Signals
AI systems look for proof that you know what you’re talking about. They evaluate authority based on citations, reviews, qualifications, and mentions in other trusted sources.
Action:
Get mentioned in local media (even small local publications count)
Earn industry credentials and list them on your site (license numbers, certifications, memberships)
Encourage legitimate reviews on Google, Yelp, and industry-specific platforms
Build local citations on directories relevant to your industry
Create original research or data your local community finds valuable
When AI systems see that multiple sources cite you, they treat you as an authority.
A Practical Example: Local Plumber
Let’s say you own a plumbing business in Denver. Here’s how AEO works:
1. A customer asks Perplexity: “What’s the best way to fix a leaking faucet?” 2. Your website has: A detailed guide answering this exact question, with LocalBusiness schema mentioning you’re in Denver, schema showing your license number, and FAQSchema answering related questions 3. Perplexity’s AI reads your content, understands you’re a credible local plumber, and includes your information as one of several answers 4. The user sees: Your name, your service area, a link to contact you
Without AEO, the AI might pull an answer from a generic DIY site or a competitor who has better-structured content.
Why Now?
AEO is not optional anymore. By mid-2026, answer engines will represent 30-40% of all search traffic for local service businesses. Google itself is pushing AI Overview, which ranks answers from websites — making traditional SEO and AEO complementary.
The advantage goes to businesses that:
Know their customer’s questions inside out
Answer those questions clearly and thoroughly
Structure their content so AI can parse it
Build genuine authority and trust
Your Next Move
If you’re a local business owner, start here:
1. Audit your website — Does it have LocalBusiness schema? Do you answer common customer questions? 2. Interview your customers — What do they ask before they call or visit? Turn those into FAQs and blog posts. 3. Structure your content — Use headers, lists, tables, and schema markup so AI systems can read it easily. 4. Build local authority — Get credentials, licenses, and mentions visible. Encourage reviews.
The businesses that adapt to AEO first will capture the customers that traditional SEO alone can no longer reach.
Ready to optimize your local business for answer engines? If you’d like a personalized AI search audit to see where your business stands — and where your competitors are winning — reach out to me or connect on LinkedIn. I help local service businesses adapt their online presence for the future of search.
Published: March 27, 2026 Author: Paris Rousssos Category: LLM SEO / AI Search Optimization
When someone asks ChatGPT “what’s the best accounting firm for small businesses in Phoenix?” or asks Perplexity “who should I hire for social media marketing?” — whose name comes up?
Right now, it’s probably not yours. And that’s a problem, because millions of people are asking AI assistants exactly these kinds of questions every day, and those AI assistants are pulling answers from a very specific pool of sources.
The good news: you can get into that pool. Here’s exactly how.
Why AI Engines Cite Some Businesses and Not Others
ChatGPT, Gemini, Perplexity, and similar tools don’t make up answers from scratch. They’re drawing on a combination of their training data, real-time web indexes (for tools with browsing capability), and structured signals that tell them “this source is credible and relevant.”
To get cited, you need to be recognizably authoritative on a topic — and that authority needs to show up in ways these systems can actually detect.
That comes down to three things: content signals, authority signals, and citation signals.
1. Content Signals: Answer the Questions AI Is Being Asked
AI search engines are, at their core, answer machines. They scan the web for content that directly, clearly answers specific questions. If your website and content are set up to answer common questions in your industry, you become a natural candidate for citation.
What this looks like in practice:
Create a dedicated FAQ section on your website that addresses the real questions your customers ask. Not vague questions like “What do you do?” — specific ones like “How long does it take to file an LLC in Texas?” or “What’s included in a small business SEO audit?”
Write blog posts structured as direct answers. Start with the question as a header (H2 or H3), then answer it concisely in the first paragraph. This format — question, then immediate clear answer — is exactly what AI retrieval systems are looking for.
Use plain, specific language. AI systems favor content that says “We serve restaurants, retail shops, and service businesses in the $500K–$5M revenue range” over content that says “We work with a diverse portfolio of clients across multiple verticals.”
Go deep on niche topics. A 1,500-word guide on “how independent pharmacies should approach Google AI search” will earn more citations than a generic “SEO tips” post.
2. Authority Signals: Prove You’re the Real Deal
AI systems aren’t just looking for relevant content — they’re looking for trusted relevant content. They inherit a lot of their authority signals from traditional web credibility markers, but with some important differences.
Build authority that AI systems recognize:
Third-party mentions matter enormously. When industry publications, local news outlets, business directories, and respected websites mention your business by name — ideally alongside specific claims about your expertise — AI systems pick this up. A feature in your local business journal saying “Paris Rousssos, an AEO specialist who has helped over 40 small businesses improve their AI search visibility” is gold.
Consistent NAP + entity data. Your business name, address, phone number, and category should be consistent everywhere it appears online. AI systems build an “entity” around your business, and inconsistent data creates confusion that gets you deprioritized.
Google Business Profile, LinkedIn, and schema markup. These structured data sources are heavily weighted. A fully optimized Google Business Profile with accurate categories, regular posts, and a healthy review profile significantly boosts the signals AI systems use to understand who you are and what you do.
Reviews that include keywords. When your customers naturally write reviews mentioning your specific services (“Paris helped us completely rethink our SEO strategy after ChatGPT started eating our traffic”), those keyword-rich reviews reinforce your topical authority.
3. Citation Signals: Make It Easy to Reference You
Even if you have great content and strong authority, AI systems need to be able to find and attribute your content. This is where a lot of businesses fall short.
Optimize for citability:
Use clear author attribution. Blog posts, case studies, and guides should have a named author with a brief bio that establishes expertise. “Paris Rousssos is an SEO/AEO specialist with 10+ years of experience helping small businesses grow their search visibility” gives the AI something to anchor a citation to.
Include original data and insights. AI systems love citing original research, surveys, statistics, and proprietary frameworks. If you publish a “2026 AI Search Visibility Report for Local Businesses” with even simple survey data from your clients, that becomes highly citable.
Write for Perplexity’s structure specifically. Perplexity tends to cite sources that have clear section headers, bullet points, and short paragraphs. Long walls of text are harder to parse and cite. Format your best content with this in mind.
Get listed in AI-friendly directories. Sites like Clutch.co, G2, Yelp, and industry-specific directories are frequently scraped and indexed by AI tools. An up-to-date, keyword-rich profile on these platforms is a citation magnet.
The Compounding Effect
Here’s the thing about LLM SEO: it compounds. The more you get cited, the more your entity gets reinforced in AI training cycles and real-time retrieval. An AI that’s cited you once as an authority on small business SEO is more likely to cite you again on a related question.
This is very different from traditional SEO, where a first-page ranking for one keyword doesn’t automatically help you rank for another. In AI search, topical authority is holistic — build it in one area, and it bleeds across related queries.
The businesses winning in AI search right now are the ones who started investing in content, authority, and structure 12–18 months ago. The businesses who start today will be the winners in 2027.
Start Here: Your 30-Day LLM Citation Checklist
1. Audit your FAQ and blog content — are you directly answering the questions your customers ask AI assistants? 2. Check your Google Business Profile, LinkedIn, and top 5 directory listings for completeness and keyword accuracy 3. Identify 2–3 industry publications or local outlets where you could earn a mention or byline 4. Write one long-form, deeply specific guide on your core service area this month 5. Add schema markup (LocalBusiness, FAQPage, Person) to your website
Do these five things consistently, and you’ll start showing up in AI-generated answers within a few months.
Want to Know Where You Stand Right Now?
I run AI search visibility audits for small and medium businesses — a deep look at how ChatGPT, Gemini, and Perplexity currently see your brand, plus a prioritized action plan to improve your citations and authority.
Email me at parisroussos@gmail.com or connect with me on LinkedIn to book a free 20-minute AI search audit consultation.
The businesses investing in this now are the ones their competitors will be scrambling to catch up with in two years.
Paris Rousssos is an SEO, AEO, and GEO specialist helping small and medium businesses improve their visibility in AI-powered search. Connect on LinkedIn or reach out at parisroussos@gmail.com.
Something is changing in how your customers find local businesses — and most business owners haven’t noticed yet.
When someone types “best accountant in Manchester” or “plumber near me who works weekends” into Google, you know the game. You’ve probably spent money on local SEO, built citations, gathered reviews. But that same person is increasingly asking ChatGPT, Perplexity, or Google’s AI Overview the exact same question — and getting a direct answer with a short list of recommended businesses.
If your business isn’t on that list, you don’t exist.
This is the new frontier of local search — and the window to establish yourself before it becomes saturated is open right now.
Why AI Search Changes Everything for Local Businesses
Traditional local SEO is a visibility game: rank on the first page, appear in the map pack, collect clicks. AI search is different. Instead of showing ten blue links and letting the user decide, AI tools synthesise information and present one confident answer. They might mention two or three businesses. Everyone else gets nothing.
The stakes are higher. The competition is actually, right now, lower — because most local businesses have no idea this is happening.
Here’s what AI search tools look for when recommending a local business:
1. Are you clearly described online? AI tools pull from your website, Google Business Profile, directories, and review platforms. If your website doesn’t clearly explain what you do, where you operate, and who you help, AI has nothing to work with.
2. Do authoritative sources mention you? Local news coverage, industry directories, Chamber of Commerce listings, and guest articles all tell AI tools that you’re a legitimate, established business.
3. Do your customers talk about you in specific terms? Reviews that mention your specialty, your location, and the specific problem you solved are gold. “Paris fixed my boiler on a Sunday morning in Leeds — brilliant” is more useful to an AI than “great service, 5 stars.”
4. Is your information consistent everywhere? Name, address, phone number, opening hours — if these conflict across platforms, AI tools lose confidence in your business and may leave you out entirely.
The AEO Opportunity for Local Businesses
AEO — Answer Engine Optimisation — is the practice of structuring your online presence so that AI tools can confidently recommend you. For local businesses, this translates into a handful of practical actions.
1. Rewrite Your “About” Page Like You’re Answering a Question
Most small business websites have an About page that reads like a LinkedIn bio written in the third person. Instead, write it to answer the questions your customers are actually asking AI.
“What’s the best family solicitor in Birmingham?” → Your About page should clearly state your speciality, your location, your experience, and what makes you different. One clear paragraph that an AI could lift directly as an answer.
2. Build Location and Service Pages That Are Genuinely Useful
If you serve multiple areas, create pages for each one — but make them actually useful, not just “We also serve Bradford” repeated fifty times. Include local landmarks, specific neighbourhood names, and the types of problems you commonly solve for customers in that area.
AI tools are looking for depth and specificity. Give it to them.
3. Audit Your Review Strategy
Start asking customers for reviews that include specifics. Not “leave us a Google review” but “tell people exactly what problem we solved for you and where you’re based.” Brief customers on how helpful this is. A steady stream of detailed, specific reviews is one of the strongest AEO signals a local business can build.
4. Get Mentioned in Local Publications
A quote in the local paper. A listing in the regional business directory. A guest post on an industry association blog. These third-party mentions act as trust signals that AI tools use to evaluate credibility. One mention in a legitimate local publication can be worth more than a hundred generic citations.
5. Use FAQ Sections Everywhere
Add FAQ sections to your service pages, your Google Business Profile posts, and even your social bios. Structure them as direct questions and direct answers. “Do you offer emergency call-outs on weekends?” followed by a clear, specific answer. This format feeds AI tools exactly what they need.
A Realistic Timeline
None of this happens overnight. But unlike paid advertising, the work compounds. A well-written service page, a strong Google Business Profile, and a growing body of specific reviews will continue to earn AI recommendations for years.
Most local businesses are starting from zero right now. The ones who move in the next six to twelve months will own the AI search results in their area before the rest of the market wakes up.
The gap between early movers and late adopters in AI search is going to look a lot like the gap between businesses who got onto Google Maps in 2010 versus businesses who scrambled to catch up in 2018.
Where to Start
If you’re a local business owner reading this and wondering whether this applies to you — it does. Every service-based local business is affected. Plumbers, solicitors, accountants, physiotherapists, personal trainers, interior designers, mortgage brokers. If a customer can ask an AI for a recommendation in your category, you need to be in the running.
Here’s a simple first audit you can do yourself:
Open ChatGPT or Perplexity
Type: “Who is the best [your service] in [your city]?”
See if you appear
If you don’t, that’s not a failure — it’s an opportunity. It means the work hasn’t been done yet, and whoever does it first wins.
Ready to Get Found in AI Search?
I help small and medium businesses optimise their online presence for AI search engines — building the foundation that gets them recommended by ChatGPT, Perplexity, Google AI Overviews, and whatever comes next.
If you’d like an AI search audit for your business — a clear picture of where you stand and what to do about it — reach out directly:
If you’ve been doing SEO for your business — or paying someone to do it — you’ve probably started hearing terms like AEO, GEO, and “AI search optimization” thrown around lately.
It’s easy to dismiss it as more marketing jargon. But this time, the shift is real, and it’s already affecting how customers find businesses like yours.
In this post, I’m going to break down exactly what’s different between traditional SEO and Answer Engine Optimization (AEO), why it matters for small and medium businesses, and what you can actually do about it.
First, a Quick Refresher: What Traditional SEO Does
Traditional SEO is built around one idea: rank as high as possible on Google’s search results page so people click on your website.
The mechanics involve things like:
Targeting the right keywords
Building backlinks from other websites
Optimising your page speed and technical setup
Creating content that matches what people search for
For years, this worked beautifully. Rank on page one, get traffic, get leads. Simple enough.
But here’s the problem: the way people search has fundamentally changed.
The Rise of AI-Powered Search
Today, when someone types a question into Google, they often get an AI Overview at the top of the page — a summary that answers their question directly, before they ever see the traditional search results.
And on platforms like ChatGPT, Perplexity, Gemini, and Microsoft Copilot, there are no traditional search results at all. There’s just an answer. Sometimes with a handful of cited sources. Sometimes with none.
This is the new reality: millions of people are now getting their answers from AI systems instead of clicking through to websites.
And if your business isn’t showing up in those AI-generated answers, you’re effectively invisible to a growing portion of your potential customers — even if you rank perfectly on traditional Google.
So What Is AEO, Exactly?
Answer Engine Optimization (AEO) is the practice of optimising your online presence so that AI systems cite, recommend, or reference your business when answering relevant queries.
Instead of asking “how do I rank #1 on Google?”, AEO asks: “how do I become the source that AI systems trust and quote when someone asks a question in my industry?”
The difference sounds subtle. In practice, it requires a completely different approach.
The 5 Key Differences Between SEO and AEO
1. Keywords vs. Questions
Traditional SEO targets keyword phrases — often short, like “accountant London” or “best running shoes.”
AEO targets natural-language questions — the way people actually talk and type to AI: “What should I look for when hiring a bookkeeper for my small business?” or “Which running shoes are best for flat feet?”
AI systems are trained on conversational language. They respond to questions. If your content is structured around answering specific questions clearly and directly, you’re much more likely to be surfaced as a source.
2. Rankings vs. Citations
In traditional SEO, success means ranking on page one.
In AEO, success means being cited or recommended within an AI-generated answer. You’re not competing for a position on a list — you’re competing to be the trusted source the AI pulls from.
This changes everything about how you create and structure content.
3. Click-Through vs. Brand Authority
With traditional SEO, getting someone to click your result is the goal. The more traffic, the better.
With AEO, the dynamic shifts. Often, AI gives the user an answer without them visiting any website at all. So the value isn’t always the immediate click — it’s the brand recognition and authority that comes from being named as the expert source. That recognition translates to trust, and trust translates to leads later in the buying journey.
4. Backlinks vs. Mentions and Structured Data
Traditional SEO weights backlinks heavily. The more authoritative sites link to you, the better.
AEO still values backlinks, but what matters more is: being mentioned naturally across the web, having well-structured data (like FAQ schema, How-To schema, and author markup) on your site, and providing clear, fact-dense content that AI systems can easily parse and verify.
5. Ranking Signals vs. Trust Signals
Google’s algorithm ranks pages based on hundreds of signals related to relevance and authority.
AI systems are more focused on trust and accuracy. They’re looking for content that is well-attributed, consistent with other sources, factual, and written or backed by real expertise. This is why things like author bios, “About” pages, citations, and being quoted in industry publications matter so much for AEO.
What This Means for Your Business
Here’s the honest truth: most small and medium businesses are not set up for AEO at all.
Their websites were built for traditional SEO. Their content targets keywords, not questions. They have no FAQ schema, no clear authorship signals, no presence on the platforms AI systems draw from.
That means there’s a significant window of opportunity right now for businesses willing to adapt — before their competitors figure it out.
The good news is that AEO and traditional SEO aren’t opposites. A lot of what works for AEO also helps your traditional rankings. You’re not tearing everything down and starting over. You’re evolving your approach.
Where to Start
If you want to improve your AI search visibility without abandoning your existing SEO efforts, here are the most impactful things to focus on:
1. Audit your content for question-based coverage. Go through your main service pages and blog posts. Are you directly answering the questions your customers are actually asking? If not, rewrite or add sections that do.
2. Add FAQ schema to your website. This is a technical addition, but it signals to both Google and AI systems that your content is structured around questions and answers. It’s one of the fastest wins in AEO.
3. Build your authority footprint. Get mentioned in industry directories, local business roundups, review platforms, and relevant publications. AI systems draw from a wide net of sources — the more consistently your name appears across them, the more credible you look.
4. Strengthen your E-E-A-T signals. Experience, Expertise, Authoritativeness, and Trustworthiness are the signals Google (and AI systems) use to assess content quality. Clear author bios, professional credentials, and original expert opinions all help here.
5. Monitor where you appear. Start tracking whether your business appears in AI-generated answers for your key topics. Search for the questions your customers ask and see who’s getting cited. If it’s not you, that’s the gap to close.
The Bottom Line
Traditional SEO isn’t dead. But it’s no longer sufficient on its own.
The businesses that will win the next five years of search aren’t just the ones with the most backlinks or the best-optimised meta tags. They’re the ones that AI systems recognise as trusted, authoritative sources — the businesses that show up in the answer, not just in the list.
AEO isn’t a replacement for SEO. It’s the evolution of it. And the sooner your business adapts, the bigger the head start you’ll have.
Want to know how your business currently stacks up in AI search?
I offer AI search audits for small and medium businesses — reviewing where you currently appear (or don’t) in AI-generated answers, and building a clear plan to improve your visibility.
