We provide AI search engine optimization (AI SEO) services for manufacturers.

Or, in plain English:

You want to show up when your ideal customer types a question into ChatGPT, Claude, Perplexity, Google or Copilot. We make it happen.

Here’s how we do it:

1. Conduct a deep baseline audit of where you’re at: technical issues, content gaps, missing trust and authority signals.
2. Map out a prioritized action plan to make sure your company shows up when potential buyers ask for what you sell. What technical fixes to address, what new content to write, what well-performing content to update and how to improve your brand’s authority and trust signals.
3. Knock down every item on the action plan — either we execute, or we consult with you as your team does so.
4. Re-audit your site monthly or quarterly to determine the incremental impact of every change we made, and re-prioritize what you need to take care of next.

We don’t dabble in manufacturing. We work almost exclusively with B2B manufacturers, and have for more than a decade. Which gives us deep expertise in what works and what doesn’t for those selling complex products and services with long sales cycles.

And as we run the same AI search work across our entire client base, we learn more and more about what is (and isn’t) working in AI search for companies just like you.

We’ve built a self-improving AI-driven ecosystem that uses lessons learned across our client portfolio, so we have an up-to-date look at what’s working well for manufacturers right now. As the world continues to change at a blistering pace, this self-learning system allows us to adjust your plan in real time based on what we’re seeing for other manufacturers.

That means that every time we create an action plan for you, it’s built off of everything we’ve learned auditing and working on thousands of website pages for companies facing sales and marketing struggles similar to yours.

We start any AI SEO work with a deep baseline audit

These are the three questions our baseline audit looks to answer:

1. Can AI read your site at all?
2. Can AI lift a clean answer from your site content?
3. Does AI trust your company as a source?

Here’s exactly how our baseline audit answers those questions

We crawl your entire website, checking all the technical things that keep an AI chatbot from being able to access your site:

• Your robots.txt, schema markup, metadata and sitemap
• What content is trapped in PDFs or hidden with JavaScript? AI bots can most easily access content in plain HTML, so a spec sheet that exists only as a PDF is invisible content.
• How fast your site responds. AI crawlers fetch under a strict time budget. Slow pages get skipped.
• Your internal link structure. A page with no links pointing at it risks getting ignored, no matter how good it is.

We score your highest-value pages, one at a time. We pick 10 to 15 pages from your site (the ones with the most internal links, your money pages and the pages that should be cited for your buyers’ questions), and score each one against seven checks:

1. Does the first paragraph under each heading give a complete, standalone answer in 40 to 60 words, with specifics in it? Or is the answer buried under preamble?
2. Is the page built in blocks a machine can lift cleanly? Specs in real HTML tables, procedures in numbered lists, questions in question-and-answer pairs.
3. Does the page nail one buyer intent sharply, with a cluster of related pages linked around it?
4. Does it speak in specifics or generalities? Competitors, standards, materials, applications, certifications. When you use generic language, you give AI chatbots no justifiable reason to recommend your company over another.
5. Can someone understand the point of the page in five seconds or less? A real summary at the top, real headings, no hunting.
6. Are the claims backed by something checkable that isn’t your own website?
7. Is the page genuinely current? Has a meaningful update been made recently?

We test real prompts your ideal buyers’ are typing — and test whether you’re named and recommended, cited only, used without credit or completely absent We test each prompt across multiple AI chatbots — ChatGPT, Claude, Perplexity and Gemini. We also record who got recommended instead of you and which sources the AI chatbot pulled from to build the answer, to better understand the pages and backlinks helping your competitors win. And so we better understand your opportunities for improvement.

We re-test those prompts continually, so we can track your progress as we continue to tackle your content gaps and visibility issues.

We look at what the rest of the web says about you. Your trade-press and referring-domain footprint. Your owned media and how consistently you publish. Whether your named experts have any public presence at all, because AI increasingly attaches authority to people rather than logos. And the review and community platforms your buyers actually consult. We also reverse-engineer the two or three competitors AI recommends instead of you and name exactly what’s earning them those recommendations.

And where you give us access, we start with your owned numbers. Google Search Console and Analytics tell us what you already rank for, branded versus non-branded, and which pages are close enough to the top that a targeted fix moves them. First-party data beats every third-party estimate.

What you get at the end of it: your AI SEO dashboard

Your audit doesn’t land as a PDF that ages on a shared drive. It lands as an interactive dashboard, and it’s the thing we’ll pull up and actually work from month to month.

A breakdown of what’s on your AI SEO dashboard:

• Your most recent scorecard rating against these questions: Can AI reach your site? Can AI lift answers from the pages? Does AI understand who you are? Does AI recommend you? Does your content hang together? Does the web give enough trust signals for AI to trust you?
• Every issue or opportunity found for your company, along with a plain-English explanation of why it matters and links to the recommendation that addresses it.
• Every AI SEO recommendation as a written bet with the result we expect, along with what criteria would mean we have to kill or adjust that bet.
• A prompt basket grid that shows every single buyer question we tested across Claude, ChatGPT, Gemini and Perplexity — along with whether your brand was recommended, cited or absent. Clicking any cell on the grid opens the answer we actually captured, word for word, with the platform and date on it.
• Your AI SEO content pipeline — the exact content you should create or refresh to start earning mentions and recommendations in ChatGPT, Claude, Perplexity, Gemini and Copilot.
• A complete history of every AI SEO recommendation you’ve tackled, along with a post-mortem explanation of whether it worked as expected or not. That learning feeds into the re-prioritization of your next cycle’s plan.

We re-run your audit each cycle (monthly or quarterly). And learnings about the incremental impact of the work you’re doing not only get displayed in the dashboard, but they also inform the prioritization of the next cycle’s action plan.

How our audit compares to a homogenous “32.12% AI visibility score” from a software provider

We’ve built a system that allows qualitative insights to be an input to the audit. Insights like:

• Sales calls, if you record them
• Past customer interviews
• Every recording you have of your top engineers speaking on the topics they know best
• Interviews and workshops with the Gorilla 76 team

Along with deep analysis of your website using purpose-built tools and AI-enabled skills, these qualitative pieces are what allow us to inject your team’s real insights and point of view into any work we do together.

Our audit, then, is able to analyze your discovery workshop to understand your company’s strategy — which products are super important to grow in AI search, which are less important — to properly prioritize action items, as well as to understand the gap between how you talk internally and what information is actually available on your site.

Additionally, we can weave insights from real conversations with your engineers into any AI search content we make.

The below chart gives you a breakdown of the difference qualitative insight makes, beyond what a software tool can give you out of the box.

Software tools see your website, and that’s it. It reads what’s public, scores it and hands you a to-do list, which is useful, and which is also available to every competitor of yours who buys the same software. The three inputs it can’t reach are your engineers’ expertise, your buyer conversations and how your customers actually describe the problem.

Ninety days later the difference compounds. A tool’s re-run gives you another to-do list, the same generic checks rescored. It has no memory of what you already tried, so it can’t tell you whether any of it worked.

Our re-audit starts with an input that didn’t exist before: last cycle’s results, scored. What we predicted, what actually moved and what we got wrong.

Much more helpful than a homogenous “AI visibility” percentage that flattens the complexities of AI search.

How your AI SEO plan gets smarter over time, as we see what works for your company in your context

Your AI search strategy is a self-improving loop, not a report you get once. And every trip around that loop makes the next one sharper.

We write down every recommendation we make, along with the impact we expect it to have. That way, we can perform an honest retrospective at the end of every review cycle:

• Which activities punched above their weight, in terms of driving meaningful movement in your visibility in AI search?
• What activities underwhelmed? So we avoid similar recommendations in the future.

Those learnings get fed back into every subsequent action plan we make for you. And here’s the part you can’t get on your own or from a piece of software: every Gorilla client benefits from every verified learning from every other client.

We work almost exclusively with manufacturers, which means the pattern library behind your plan was built on companies that sell the way you sell, to buyers who evaluate the way your buyers evaluate. When a particular kind of page starts earning recommendations at another manufacturer, that moves up your priority list next month. When something we’ve been recommending stops paying off across the client base, it moves down yours before you’ve spent another quarter on it. You get the benefit of work we did somewhere else without paying to learn it twice.

Doing this alone means every lesson costs you a full cycle to learn. Doing it with a generalist agency means the lessons come from e-commerce brands and SaaS companies whose buyers behave nothing like yours.

How would we know in 90 days whether it’s working?

We re-run your audit — along with a fixed set of your buyers’ questions — regularly to evaluate which activities are moving the needle, and which have underwhelmed. This honest analysis trains the system on what works in your context, which feeds into the next cycle’s prioritized action plan.

We of course look at traffic, keyword position and presence in AI answers.

But the real north star is getting real qualified buyers to show up at your site, asking for a consultation — having found you on ChatGPT, Claude, Perplexity, Gemini or Copilot.

Then you can ask those prospects what specifically they searched, which can further feed into AI SEO content ideas for the future.

For an even more in-depth explanation on reporting, you can look at our guide to AI search for manufacturers.

What is it like to work with Gorilla 76?

We think of ourselves as true business advisors that help manufacturers grow through marketing.

One of the ways we help manufacturers grow is by helping them show up in the places their buyers are looking for new suppliers. And AI search is becoming an absolutely critical marketing channel for manufacturers looking to find new customers.

But AI search is just one channel.

We like to start every engagement by going through a Road Map process to understand your exact business challenges and constraints, as well as your overarching company strategy and goals.

Then we’ll map out exactly how we think you should get there. It will likely include helping your company show up in AI search as part of a comprehensive strategy to get your company from where you are, to where you want to be.

You can read more about our process and pricing here.

Is Gorilla the right fit for you?

We work almost exclusively with manufacturers and Industry 4.0 companies that sell complex products and services with long buying cycles; we describe who we help and how pretty comprehensively here.

We help manufacturing companies develop a comprehensive strategy to achieve their goals — which often contains AI SEO as a core component, but not a one-off activity.

We don’t price AI search visibility on its own, because we’ve never seen it be the only thing a manufacturer needed.

We start every engagement with the Road Map, where we sit down with your team to understand your company strategy and marketing goals — and carve out a clear, action-oriented marketing strategy to get you from A to B.

For more information about how we work, see our process and pricing page.

Frequently asked questions

How long before we see results?

First citations of purpose-built pages might show up within one to two weeks. Measurable pipeline impact can take three to four months.

Do we need to be on every platform?

It depends on which ones your buyers use, and finding that out is part of the audit rather than something we assume going in.

We already checked ChatGPT once and looked fine. Isn’t that enough?

No. One reading is noise. The exact same question can return different answers across platforms in the same week, and your own logged-in account flatters you because it remembers who you are. Blind runs on a fixed cadence are the only test that gives you enough directional information to act on.

Do you need our sales call recordings?

No. They’re one of the richest inputs we can get, and we can work around it if they’re not available. Notes work, emails work, a half hour with your sales lead works. Anything you’re able to give us to feed into our system as a qualitative input.

Do you work with our competitors?

We work almost exclusively with B2B manufacturers, and we’re careful about direct-competitor conflicts. Any time there’s been a gray area, we always check with our existing client before bringing a new client on board.

When your buyer asks who AI recommends, someone is showing up.

Let that somebody be you.

Book a 30-minute call with Joe Sullivan, our cofounder. He’ll seek to understand your business, and the challenges you’re facing.

As part of the Road Map process, we’ll run the baseline audit on your site to understand exactly what’s standing in the way of your company showing up where your buyers are searching.