Something happened this week that most marketing consultants will bury in a newsletter and move on from. MarketingProfs reported on October 23, 2026 that Ameresco, an energy services company, overhauled its corporate positioning, website copy, PR content, and Q&A materials specifically to target AI search systems. The result: organic web traffic up 50% over twelve months, and the company now appears in 61% of tracked AI search responses, up from 43% in 2025. I want to be clear about what the source says: direct revenue impact was not confirmed. This is a traffic and visibility story, not a sales story. But the signal is loud enough that you need to hear it.
Here is what I know from running auctions for twenty years. When a category shifts, the first sellers to figure out the new room always look like they got lucky. They didn't. They just noticed the bidders moved to a different corner and walked over there first. The rest of the room caught on about eighteen months later, by which time the early movers had the relationships, the reputation, and the sales history. That is exactly what is happening in search right now.
What Ameresco actually did
According to the MarketingProfs summary (the full source page was not available for me to fetch, so I am working from what the summary reports), Ameresco did not just add some keywords or publish more blog posts. They restructured their content top to bottom: corporate positioning, the website itself, PR materials, and Q&A content. The goal was to answer the specific kinds of questions that AI search systems are trained to surface, not just to rank in a traditional Google results page.
The outcome they tracked was AI response rate, meaning how often their brand showed up when someone asked an AI assistant a relevant question. That number went from 43% to 61% in roughly a year. Organic traffic followed, up 50% over the same period. Whether that traffic converted to customers is a different question, and an honest one, and the source does not answer it. But 50% more relevant visitors arriving because AI systems keep mentioning your name is not nothing.
The new SEO is a different game, not a harder one
Let me name the pattern here, because this is the idea I want you to carry out of this piece: I call it the Answer Gap.
Traditional SEO was about matching keywords. You figured out what people typed into Google, you put those phrases in your page titles and headers, Google crawled your site and matched searchers to your content. Imperfect, gameable, but most local businesses understood the basic logic.
AI search works differently. When someone asks ChatGPT, Perplexity, or Google's AI Overview "who is the best orthodontist in Scottsdale for adults" or "what should I ask a roofing contractor before I hire them," the AI is not scanning your meta description. It is pulling from everything it has learned about your category, your brand, your reputation, and the way you answer questions in public. If your website reads like a brochure, you are invisible. If your website reads like a knowledgeable person explaining their craft, you show up.
The Answer Gap is the distance between what an AI needs to confidently recommend your business and what your current content actually provides. Most local business websites have a massive Answer Gap. They say what they do. They do not explain how, for whom, what it costs roughly, what questions to ask before hiring anyone, what the process looks like, what goes wrong and how they handle it. That is the content AI systems pull from when composing a recommendation.
Ameresco closed their Answer Gap deliberately and systematically. Their traffic numbers suggest it worked. You can do the same thing, and you do not need to be an energy company with a PR team to do it.
What this means for your business right now
If you run a dental practice, a med spa, a plumbing company, a law firm, or a restaurant in Phoenix or Scottsdale, here is the honest translation: your prospective customers are already asking AI systems for recommendations. Local search is changing faster than most business owners realize, and the businesses showing up in AI responses right now are mostly the ones that happened to have informative, specific, question-answering content already on their sites. That is dumb luck. The ones who show up twelve months from now will be the ones who did this on purpose.
What it costs is mostly time, not money. Ameresco restructured four categories of content: positioning, web copy, PR, and Q&A. For a local business, that translates to something simpler. Your homepage and service pages need to explain your work the way a good consultant would explain it over coffee, not the way a Yellow Pages ad did in 1998. Your FAQ section, if you have one, needs real questions that real customers ask, answered with real specifics. Your Google Business Profile needs to be treated like a publishing platform, not a placeholder.
The businesses that will own AI search are not the ones ranking on Google today. They are the ones rewriting their content now.
There is also a secondary effect worth naming. If AI systems are citing your content and driving traffic, that traffic arrives with some pre-existing trust. The AI already vouched for you. That changes the conversion math in ways that a raw traffic number does not capture, which is probably why the Ameresco story is worth watching even though the revenue impact is still unconfirmed. Our AI content strategy work is built around exactly this kind of repositioning.
Under the hood, for the person who wants it
What AI search systems are actually doing when they compile a response is retrieval-augmented generation, pulling from indexed sources and synthesizing an answer. The factors that influence whether your business gets cited are not identical to Google ranking factors, though there is overlap. Entity clarity matters: the AI needs to understand unambiguously what your business is, what it does, where it does it, and for whom. Topical authority matters: consistent, specific, accurate content about your category signals that you are a reliable source. Q&A structure matters: content written as a direct answer to a question is easier for these systems to extract and cite than content written as a sales pitch. Ameresco's restructure hit all three of these levers at once, which is why the results were as clean as they were.
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One thing I do not know from the available source: which AI platforms they were tracking for their 61% response rate figure. That detail matters because Perplexity, ChatGPT, and Google AI Overviews each index and weight sources differently. If you are going to run this kind of audit for your own business, you want to test all three, not just Google.
What to do this week
- Run your own AI audit. Open ChatGPT, Perplexity, and Google's AI Overview. Type in the question your best customer would ask before hiring someone like you. Read what comes back. Count how many times your business is named. That number, whatever it is, is your current AI response rate. Write it down.
- Find your Answer Gap. Look at what the AI cited instead of you. Read that content. Ask yourself honestly: does my website answer questions that specifically, that directly, with that much detail? If the answer is no, you have found your gap.
- Rewrite one page this month. Pick your most important service page. Rewrite it to answer the five most common questions a customer asks before hiring you. Real questions, real answers, real specifics. Publish it. Then run the AI audit again in sixty days.
- Update your Q&A content. Your FAQ page, if you have one, is probably full of softballs you wrote to avoid saying anything specific. Replace it with the questions customers actually ask, including the ones you find uncomfortable to answer. That is exactly the content AI systems are looking for.
Skip it if
You are fully booked through next year on referrals alone and you have a waitlist. Enjoy it. Come back to this in six months when the businesses around you start showing up in AI recommendations and your referral pipeline gets a little more competitive.
One last thing. I ran more than 500 auctions, and the sellers who always got the best prices were the ones who could tell you exactly what they had, who made it, why it mattered, and what someone like the buyer in front of them had paid for one last time. That is not a selling skill. That is a knowing-your-stuff skill. Your website is your public record of knowing your stuff. Right now, AI is the auctioneer calling the room. The question is whether your content gives it enough to work with.
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