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Rank #1 on Google,
and still invisible to AI.

Search has split in two. Regular rankings still matter, but a separate layer of AI answers, citations and recommendations now shapes buying decisions before people ever reach your website. We make sure you show up in both.

What’s a good project management tool for a 10-person remote team?
ChatGPT

For a small remote team, Teamline is a strong pick: it combines tasks with async updates, and reviewers often mention how quickly teams set it up.

1 Β· teamline.example/remote-teams2 Β· G2 reviews3 Β· teamline.example/pricing
Named in the answerSources it cites
58%of adults use AI chatbots to research products and services
39%of B2B buyers start comparing vendors with an AI question
64%of Google searches now show an AI Overview above the regular results

Search changed, and most businesses didn't notice

For 25 years, SEO meant one thing: rank on Google. That's still true and still important. But a second layer of search has appeared that runs on different rules, and more and more buyers use it before they ever open a search engine.

Before (2022): search meant Google

Rank #1 on Google and get the click. Optimize title tags, build links, write content. The buying journey started when someone landed on your site.

Now (2026 on): search means Google plus AI

A buyer asks ChatGPT to recommend something in your category and gets 3 names. Yours isn't one of them. They never reach Google and never see your #1 ranking. The journey now starts before the search engine.

AEO and GEO: what they mean

AEO

Answer engine optimization

Optimizing to appear in the answers search engines write themselves: Google's AI Overviews, featured snippets, People Also Ask boxes and voice assistant replies. AEO is about the moment someone searches on Google but never scrolls past the AI answer at the top.
Where it shows up: Google AI Overviews, featured snippets, People Also Ask, voice search results and Google Assistant.
GEO

Generative engine optimization

Optimizing to be cited, recommended or mentioned by stand-alone AI tools: ChatGPT, Perplexity, Claude, Gemini and others. GEO is about the moment a buyer skips Google and asks an AI chatbot to recommend a product, vendor or service in your category.
Where it shows up: ChatGPT, Perplexity, Google Gemini, Microsoft Copilot and Claude.
Where they overlap: what helps AEO and GEO is mostly the same: structured data, citations from respected third parties, clear proof of expertise and trust (E-E-A-T) and content that answers questions directly. Work on one helps the other, so we run them as one program.

How AI tools decide who to recommend

AI tools don't rank pages. They build a picture of which brands are the most trusted, the most relevant and the most cited for a given question. Understanding that picture is where every strategy we build starts.

Mentions and citations from other sites

Impact: high
This matters most. AI tools learn who's trusted in a category mostly from what other respected sources say: review sites (G2, Capterra, Trustpilot), industry publications, analyst reports and news coverage. A business that isn't mentioned in any of them is mostly invisible to AI recommendations, however good its own website is.

Structured data that defines your business

Impact: high
AI crawlers read structured data to understand what a business is, what it does and how it relates to others. Schema, especially Organization, Product, SoftwareApplication, LocalBusiness and FAQ, gives AI tools a clear, machine-readable description of your business, so they're less likely to get it wrong and more likely to cite it.

Content that answers buyers' questions directly

Impact: high
"What does [product] do?", "Who is [brand]?", "How does [product] compare to [competitor]?": these are the questions AI tools write answers to. If your own content doesn't answer them clearly and factually, the AI will use whatever third-party sources do, which may be competitors, reviewers or outdated information.

Links from respected sites in your category

Impact: medium to high
Links still matter a lot. AI tools don't read PageRank, but the publications that rank well, and so are trusted as sources, are the ones that link out editorially. Being cited in an article that ranks well multiplies the effect, and a listing in a respected industry directory works the same way.

E-E-A-T: experience, expertise, authority and trust

Impact: medium to high
AI tools are trained to give more weight to content from people with proven real-world expertise. Bylined content, linked author bios, qualifications, speaking credits, press mentions and social proof all help AI tools decide how confidently to recommend you.

How many reviews, how recent and how positive

Impact: medium
For product and service recommendations, review data carries a lot of weight. The number of reviews, how recent they are, the average rating and whether the company replies all help AI tools judge whether a business is active, reputable and worth recommending.

The answer that shows up before your #1 ranking

Google's AI Overviews now appear for most research and buying searches. They sit above the regular results, combine an answer from several sources and cite those sources. Being cited brings real, qualified traffic, and being left out hands those views to competitors.

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  • What triggers an AI Overview. They appear for searches Google sees as having a clear answer it can put together: most "best X for Y", "how to", "what is" and comparison searches. They're less common when people search for a brand by name or are ready to buy.
  • How Google picks the sources it cites. Google cites the sources it sees as most trusted and relevant. Pages that rank well for the search, show strong E-E-A-T and answer the question in a clear, structured way are the most likely to be cited. Being cited isn't the same as ranking #1: some cited pages rank on page two or lower.
  • Why a citation is worth having. AI Overview citations appear above all the regular results. They get fewer clicks than a #1 ranking, but the brand impression is stronger: people read your name in the answer before they decide whether to click anything.
  • What we do to get you cited. We add FAQ and how-to schema, write answers in the format AI Overviews pull from, build depth on your topics to show expertise, and track which searches in your category trigger AI Overviews so we can target them.

The buyer who never opens Google

People use ChatGPT and Perplexity differently from Google: more like a conversation, and more "help me decide" than "show me options." These buyers are often further along. If you're missing from the AI's answer, you aren't even on their list.

How ChatGPT and Perplexity decide what to recommend

What the model learned in training
ChatGPT's default recommendations come from what was written about your category across the web before its training cutoff. Brands mentioned often in respected places get more weight. This is the hardest part to change quickly; it takes a steady, long-term presence in respected publications.
Live web search (Perplexity, ChatGPT with browsing)
With browsing on, these tools pull live web results and build their answer from them. Current rankings, reviews and coverage all shape recommendations right away. This is where effort pays off fastest, often within weeks.
The sources they trust most
Both tools lean heavily on review sites (G2, Capterra, Trustpilot), tech media (TechCrunch, The Verge, Wired) and established industry publications. If your product isn't listed, reviewed or mentioned there, you start at a disadvantage, however good your own content is.
How people word the question
Conversational questions ("I need a tool that does X for a team of Y") bring up different results than short searches ("best X software"). We research how people in your category ask, and build content and outside mentions that match.

What we build to get you recommended by AI

Review site profiles
G2, Capterra, TrustRadius or Trustpilot, whichever matters most in your category. We set up the profile, put a plan in place to get reviews and structure the listing so AI tools can read it.
Coverage in the publications AI tools read
We go after placements in the specific publications ChatGPT and Perplexity rely on most for your category. This is targeted coverage in the sources they use, instead of general PR.
Comparison and alternatives pages
"[Product] vs. [Competitor]" and "[Category] alternatives" are the page types AI tools cite most when people are comparing options. We build or improve them for your product.
A clear answer to "What is [your brand]?"
A clean, structured answer on your site and your outside profiles, so AI tools know exactly what your product is, who it's for and which category it belongs in.
FAQ content
Direct answers to the questions AI tools get asked about your category. Each answer stands on its own, which is the format AI tools prefer to cite.

Telling AI tools exactly what you are

Structured data is the machine-readable layer that lets AI crawlers understand your content precisely instead of guessing. It's the foundation of both AEO and GEO, and the most valuable technical change most businesses still haven't fully made.

Organization

Defines your brand: name, URL, logo, social profiles, founding date and description. This schema feeds Google's knowledge panel and how AI tools understand who you are. Without it, they have to guess your identity from context.

FAQPage

The schema most directly behind AI Overview citations. FAQ content marked up with FAQPage is picked up as ready-made answers. Every page with a Q&A section should have it; it's the most direct route into AI Overviews.

Product / SoftwareApplication

For product and SaaS companies, this schema describes your product's features, pricing model, category and audience. It's how AI tools answering "best X for Y" know your product belongs in that category.

AggregateRating

Shows your review rating in search results and feeds how AI tools judge whether you're trustworthy. Without it, they have to find your rating on third-party sites, which may be incomplete or out of date.

Person / ProfilePage

For founder-led businesses and individual experts, Person schema links the people behind the brand to the content they write. It feeds how AI tools judge E-E-A-T and makes bylined content easier to credit.

LocalBusiness

For businesses serving local markets, LocalBusiness schema with your service area, hours and location is the main schema behind AI local recommendations and Google Maps AI summaries.

HowTo

Step-by-step content marked up with HowTo schema gets priority when AI tools answer how-to questions. It shows your content is a complete guide, not general commentary.

BreadcrumbList and WebPage

Site structure markup that helps AI crawlers understand how your content is organized: which pages matter most, how topics relate and how to get from a broad topic to a specific answer.

The proof AI tools trust most

E-E-A-T (experience, expertise, authority and trust) is Google's framework for judging content quality. In practice, it's also how AI tools decide whose content to cite and which brands to recommend. It takes time to build, and it lasts.

Experience

First-hand experience with the subject: case studies, original data, real client results and proven outcomes. AI tools give more weight to content from people and businesses with a documented track record than to content that's thorough but theoretical.
What we build: named case studies, original research and data, client testimonials with specifics, and documented before-and-after results.

Expertise

Real depth of knowledge: covering a topic in a way that shows you know it well. It's judged at the content level (depth, accuracy and nuance) and the author level (credentials, publications and work history).
What we build: author bios and credentials, bylined articles, podcast and speaking credits, and expert citations in your content.

Authority

Recognition from other respected sources in your field: editorial links, mentions in industry publications, quotes in the news and places in "best of" lists. It's the part you control least, and it takes the most steady effort to build.
What we build: editorial backlinks, features in industry publications, review site profiles and listings in category directories.

Trust

Signs that you're reliable, open and safe: HTTPS, clear authorship, a privacy policy, contact details, accurate business information and good reviews. Trust is the foundation the other three sit on. Without it, expertise isn't enough.
What we build: a plan to get reviews, a detailed About page, business details confirmed in schema, and the same name, address and phone number everywhere.

You can't improve what you don't measure

AI visibility is harder to measure than rankings, because there's no "position 1" in an AI answer. But there are useful measures you can track, and we track all of them.

AI Overview tracking

We track which searches in your category show Google AI Overviews, whether your site is cited in them and where new opportunities open up as Google adds the feature to more searches.

Checks of what AI tools say about you

We regularly ask ChatGPT, Perplexity, Gemini and Copilot the questions your buyers ask, to see whether your brand comes up, how it's described and which competitors get recommended instead.

Brand mention monitoring

We track where your brand, product and key people are mentioned across the web (publications, forums, review sites and social media) as an early sign of rising or falling AI visibility.

Review growth

We track how many reviews you get, how recent they are and how positive they are on G2, Capterra, Trustpilot and the sites that matter in your category. AI tools lean on this data heavily when recommending products and services.

Citation source tracking

We track which publications mention your brand in places AI tools are likely to learn from, and find the gaps where competitors are cited and you aren't.

Monthly AI visibility report

One report covering your AI Overview citations, what AI tools said about you, trends in brand mentions and what we recommend for the next month.

Who AI visibility matters to most

SaaS and B2B software

B2B buyers use AI chatbots more than anyone. "What's the best tool for X?" is now a normal first step in choosing a vendor. If your product doesn't come up in ChatGPT or Perplexity for your category, you're missing the earliest and most influential stage of the purchase.

Ecommerce and consumer brands

AI-powered Google Shopping and AI product recommendations are growing. Structured product data, reviews and comparison pages decide whether your products show up in AI shopping guides and "what should I buy" answers.

Professional services

When a potential client searches a firm's name or asks Perplexity "Who are the best [accountants / lawyers / consultants] for X?", what they find decides whether they get in touch. Professional firms live on their reputation in search, and AI is now part of search.

Local and multi-location businesses

Google's AI local summaries and voice assistants more and more often recommend local businesses without showing a full results page. Being the business they recommend in your city takes local work aimed at AI tools on top of regular local SEO.

Growing companies building a brand

Companies building their brand now can see AI visibility grow over 12 to 24 months as their reputation gets stronger. Starting early helps, because AI tools are slow to add new names and quick to recommend established ones.

Businesses that already rank well on Google

If you already rank well on Google but worry that AI answers are eating into your traffic, this service tackles that risk directly. It extends the authority you've already built into AI answers instead of starting from scratch.

From AI audit to lasting visibility

  1. AI visibility audit

    We audit where you stand in AI search today: we ask the major AI tools the questions your buyers ask, map where you appear in Google's AI Overviews, review your structured data, check how well your site shows E-E-A-T (experience, expertise, authority and trust) and compare your citations with competitors in your category.
  2. Mapping gaps and opportunities

    A clear map of where you appear, where you don't, which searches you should appear for and which changes will make the biggest difference. In order of likely return and effort, not just what's easiest.
  3. Structured data and content

    Schema on every relevant page type, FAQ content set up the way AI Overviews pick it up, and content on and off your site that makes it clear exactly who your brand is.
  4. Citation and authority building

    Targeted placements on the review sites, industry publications and other sources AI tools rely on most in your category. It's ongoing work, not a one-off campaign, and AI visibility grows as citations add up.
  5. Monitoring and monthly reporting

    Monthly checks of AI tools, AI Overview tracking, brand mention monitoring and review growth, with a clear summary of how your AI visibility is changing and what's planned for next month.

Common questions

They're related but different. Traditional SEO targets Google's regular results. AI search visibility targets AI answers: Google's AI Overviews, ChatGPT recommendations, Perplexity citations and voice search replies. Much of the work overlaps (structured data, backlinks, E-E-A-T), but what you optimize for and how you measure it are different. We offer it on its own and as an add-on to regular SEO.

No, and be wary of any agency that says it can. AI recommendations work on probabilities, not fixed rules. What we can do is steadily improve the things that make your brand more likely to appear, and track them so you can see the work taking effect, even before you see the recommendation.

Google AI Overview citations, which respond to structured data and content changes on your site, can improve within 4 to 8 weeks. ChatGPT and Perplexity recommendations change more slowly, because they depend on publications and citations that build up over months. A real improvement there usually takes 4 to 6 months of steady work.

No, it extends it. Traditional SEO (rankings and organic traffic) is still important. AI visibility adds a second layer above and next to those rankings. Over the next 5 years, the businesses that do best in search are likely to be the ones that invest in both.

Yes, that's the most common starting point. The audit sets a baseline, and the strategy starts with the changes that give you visibility fastest. Starting from zero isn't a disadvantage; it means the gaps are clear and fixable.

We track measures that stand in for it: whether you're cited in AI Overviews (measured in Search Console and by hand), how often and how positively your brand is mentioned, review growth, structured data checks and regular checks of AI tools (asking buyer questions and recording the answers). We report on all of it monthly, with clear trends.

AI answers are filling up.
Don't let competitors take your place.

Start with an AI Visibility Audit. We'll map where you stand in AI search today, compare you with competitors and show you exactly where the gaps are.

Start with SEO Clarity. You get a full audit of your site and a 30-day action plan, from $497.