How Do We Become
Visible in AI Search?
Our AEO Playbook

On this page 12 sections

1. The Short Answer
2. Three Surfaces, One Job
3. What the Click Data Says
4. Campaign 1: Named First by All Four Assistants
5. Campaign 2: $29K From a Channel That Made Nothing
6. Campaign 3: 9 AI Overview Spots With Zero Backlinks
7. The Five Signals That Drive AI Visibility
8. Why the Same Work Wins Twice
9. Our AI Search Visibility Process
10. Three Things That Will Not Go the Way You Expect
11. Where to Start
12. FAQs

Five years ago, visibility meant one thing. Rank on page one of Google. That is no longer enough. Your buyer now asks ChatGPT or Gemini for a shortlist. They read a Google AI Overview and never scroll. They open AI Mode and get a full answer with a handful of links attached. They ask Perplexity to compare two brands and take the reply at face value.

In every one of those cases, the brand named in the answer wins. Everyone else may as well not exist.

We have run this work on three very different sites: a B2B service brand, a high ticket store and a niche manufacturer.

Here is what moved the needle on each one.

Three Surfaces, One Job

AI search visibility means your brand gets named or quoted inside an AI answer. Not ranked below it. Named in it.

It splits across three surfaces, and each one needs slightly different work.

1. 01

   AI assistants

   ChatGPT, Claude, Gemini, Perplexity and Copilot. A user asks a question in plain words. The tool writes one answer and names a few brands. You are in it or you are not.

2. 02

   Google AI Overview

   The AI box that now sits above the blue links on many searches. Google writes it from pages it already crawls and indexes, so your normal SEO work feeds it directly.

3. 03

   Google AI Mode

   The full conversational search tab. Google says it passed one billion monthly users within a year of launch, with queries more than doubling every quarter.

AI Mode behaves differently from AI Overview. It breaks your question into several searches behind the scenes and pulls sources for each one. So a page can be cited in AI Mode and missing from the AI Overview on the very same query.

Most brands treat all three as one thing, or ignore them and keep chasing rank positions. That is the gap we work in.

What the Click Data Says

This is worth knowing before you budget for it.

The Pew Research Center tracked the browsing of 900 US adults across nearly 69,000 Google searches. When an AI summary appeared, users clicked a normal search result on 8% of visits. Without one, they clicked on 15%. Only 1% clicked a link inside the summary itself. Sessions ended outright on 26% of pages with a summary, against 16% without.

Source: Pew Research Center

Google has publicly questioned that methodology, so treat the figures as direction rather than gospel. The direction is not in much doubt, though. The click is shrinking, so the mention is the prize.

One number in that study points the way.

The other half of the story is what happens after the click you do get. Adobe Analytics studied more than a trillion visits to US retail sites and found AI-referred traffic grew 393% year over year in the first quarter, and converted 42% better than every other channel. A year earlier, the same traffic converted 38% worse. Fewer visitors, warmer visitors.

Source: Adobe Analytics

Campaign 1: Named First by All Four Assistants

Our client sells agency ad accounts to media buyers. Their buyers do their homework, so many of them now ask an AI tool for the best provider in the category.

We have worked on the site since launch, about two years. By the end of that period, all four major assistants named this client first for that question. ChatGPT, Gemini, Perplexity, and Claude.

The traffic followed. AI sessions hit 1,639 for the period, up 111% on the six months before. ChatGPT sent 936 of them, Gemini 342, Perplexity 189 and Claude 173. Those visits produced 91 contact conversions, up 98% on the same comparison.

ChatGPT936

Gemini342

Perplexity189

Claude173

1,639 AI sessions in total, up 111% on the previous six months.

The classic search numbers moved just as hard.

Swipe to see the full table

That change in average position is the one to sit with. It moved the site off page three and onto page one, which is the pool Google draws most AI Overview sources from.

Both wins came from the same work. We did not run an SEO plan and an AI plan side by side. The full numbers are in our AI search optimization case study, and the approach is the core of our B2B SEO work.

Campaign 2: $29K From a Channel That Made Nothing in January

This one was a high-ticket jewelry store. In January, they had 117 AI visitors in a month and no revenue from AI at all.

We started by asking the AI tools the questions their buyers ask, then traced where the answers came from. Most led to Reddit threads, buying guides on big publications and expert review sites. Almost none led to the brand’s own pages.

So we built content the tools could quote, and we placed the brand on the kinds of sites they read. That mix of on-site rewriting and off-site placement is the shape of most of our jewelry SEO retainers.

By December, the site pulled 1,399 AI users a month. The year totalled 8,381 new users from AI tools, 31 purchases, and $29,174 in revenue at an average order value of $941. ChatGPT accounted for more than nine in ten of those users.

Engagement rate on that traffic was 73%, well above what the same site gets from Google. That makes sense. A visitor sent by an AI tool has already been told the brand is worth a look. The month-by-month detail sits in our AI SEO case study.

Campaign 3: 9 AI Overview Spots With Zero Backlinks

The third campaign shows how much you can win from structure alone.

The client makes medical cold chain packaging. Their site had no real SEO base. No proper title tags. No schema at all. Thin internal linking. And no presence in Google AI Overview, in a niche where almost no rival had built a dedicated page.

We ran on-page work only. Thirteen pages, four buying segment pages and nine product pages. No new content, no link building, no rebuild.

Each page got one H1 and a new title tag with the focus keyword first. We added a self-referencing canonical, real alt text and internal links built by hand. Then we added FAQ blocks with FAQPage, Product and Service schema.

The result: 9 of 20 tracked keywords started showing up in Google AI Overview. Seven keywords sat at position 1. The term “blood bank shipper” went from outside the top 100 to number one. No backlinks were built at all. The whole scope is written up in our medical cold chain case study.

That is the point. In an under-served niche, a clean on-page SEO pass can buy you AI Overview spots on its own.

The Five Signals That Drive AI Visibility

Across all three campaigns, the same five things did the work. In this order.

1. 01

   Crawler access

   Every AI tool uses its own crawlers. OpenAI runs GPTBot for model training and OAI-SearchBot for the index behind ChatGPT’s answers. Anthropic runs ClaudeBot, Claude-SearchBot and Claude-User. Perplexity runs PerplexityBot. Block any of them in robots.txt, or hide your content behind JavaScript, and they cannot read you.

   Google works differently, and people get this wrong constantly. Google-Extended controls Gemini training and grounding, not AI Overview and not AI Mode. Both of those run on normal Googlebot indexing and your snippet settings.

   There is also a separate Search Console control for AI features that pulls a site out of AI Overview, AI Mode and Discover AI while leaving ordinary rankings alone. Check nobody on your team has quietly switched it on. We audit all of this first, and it is broken more often than you would think.

2. 02

   Structure a machine can read

   Clear headings. A short answer under each one. FAQ blocks, tables, and sentences that still make sense when lifted out of the page.

   Be careful what you credit here. Google’s own AI optimization guide states that structured data is not required for its AI features, that there is no special markup to add, and that you do not need to chop content into tiny pieces.

   Schema still earns rich results and keeps your data tidy, so we keep shipping it. It is just not the lever that gets you quoted. Clarity is, and campaign three is the proof.

3. 03

   Content worth quoting

   A page that says “we are a leading provider” gives a model nothing. A page with real numbers and a named source gives it a sentence it can repeat. We brief every SEO content writing job around that one rule: write for the quote, not just the keyword.

4. 04

   Pages that stay current

   This is the lever most teams forget. In our own tracking, the pages that hold their citations month after month are the ones we keep updating, not the ones we published and left alone. New figures, refreshed examples, a visible update date. Refreshing a page that already has authority usually beats publishing a new one.

5. 05

   Off-site mentions that agree

   AI tools read the live web and cross-check what they find. One claim on your own site is weak. The same claim on ten sites that do not know each other is strong.

   Unlinked brand mentions do more work here than raw backlink counts. That is what digital PR is built for, and it is the step most SEO plans skip.

Why the Same Work Wins Twice

The pages that earn links are the same pages AI tools like to quote. Data pages, benchmarks, and buying guides. Anything with real figures and a clean layout.

On campaign one, our statistics pages did both jobs at once. The Facebook ads statistics page gained 675% more organic traffic across the six months, and the Google ads statistics page gained 3,850%. Those same pages became the ones the AI tools cite. One asset, two payoffs.

So you do not need a separate AI budget. You need to build the right kind of asset once, then get it mentioned in enough places that the tools trust it.

That second half is the slow part. Relevance beats domain rating here by a wide margin, so we place through niche guest posting rather than chasing DR alone. When speed matters, link insertions put a brand into articles that already rank, which cuts the wait for indexing.

Our AI Search Visibility Process

Here is the whole process in one table, in the order we run it.

Swipe to see the full table

Three Things That Will Not Go the Way You Expect

• Timelines depend on your category

  Our jewelry client saw its first AI sale in month two and hit full speed in month eight. The B2B client took about two years, because its buyers are pickier and its rivals are sharper. Anyone quoting you 90 days for a hard category is describing a different job.

• AI answers move, but less than they look

  Ask the same question two ways and the wording and the brand order shift. The substance moves far less. We test in batches and report the pattern across a month, not a single position on a single day.

• Your reports will understate the traffic

  Many AI tools hide the referrer, so a large share of AI visits land in your reports as direct traffic. Treat the measured number as a floor, and treat your share of mentions as the real scoreboard.

Where to Start

If you have a small budget and want the fastest return, do it in this order.

1. 01

   Start with the on-page pass

   Start with the on-page pass. It is the cheapest step; it needs no outreach, and campaign three shows it can win AI Overview spots on its own. Run it alongside a technical SEO check so crawl and rendering problems surface early.

2. 02

   Rewrite your most commercial pages

   Then rewrite your three or four most commercial pages so a model can quote them. Real numbers, direct answers, FAQ blocks that match what is on the page.

3. 03

   Place mentions at a steady pace

   Then start placing mentions on relevant sites and keep a steady monthly pace. AI visibility rewards a slow drip far more than one big burst, which is why most of our clients run link building packages instead of buying 40 posts in a quarter and then stopping.

4. 04

   Stay consistent for a year

   Then keep saying the same thing about your brand for a year, and keep the pages that earn citations up to date while you do it.

Want the full numbers behind these campaigns? They are in our SEO case studies. If you would rather talk it through, book a call and we will run a prompt audit on your category first.

FAQs