Search and AI visibility
Be the answer,
not the tenth result.
Your buyers now ask an AI assistant before they ask a vendor. If that assistant describes your category without naming you, you miss the moment the shortlist gets written. We make sure you’re on it, and keep the Google rankings that send you buyers today. It’s the quietest form of awareness, and the one buyers trust most.
Why now
Search stopped being a list of links.
of B2B buyers now use AI assistants somewhere in their research.
of the buying process happens before anyone contacts a vendor.
in an AI answer outranks ten blue links nobody scrolls to.
This page is built the way we build client pages: structured, quotable, and easy for an engine to lift an answer from. The method is the demonstration.
How it runs
Being found is built.
- 01
Ask the engines what they say about you
We put the questions your buyers actually type into ChatGPT, Perplexity, Claude, and Google, and record what comes back about you and about your competitors. It’s usually the first time a client has seen it. It’s usually uncomfortable.
- 02
Make sure the engines know who you are
AI answers work on companies, products, and people. We make sure your company, your products, your credentials, and your team are described the same way everywhere they appear online, so the engines connect the dots instead of guessing.
(Under the hood: entity consistency and knowledge-graph cleanup.)
- 03
Make your pages easy to quote
Clean structure, clear headings, and short passages that answer a question outright. If a model can’t lift a clean two-sentence answer from your page, it will lift one from a competitor’s. We design and rewrite the pages so they read beautifully to a person and clearly to a machine.
(Under the hood: schema markup and answer-shaped content.)
- 04
Get other credible sources to back you up
Models cite what other trusted sources confirm. We work the directories, citations, and third-party sites the engines rely on.
- 05
Keep winning on Google
Google still sends the buyers who convert today. We keep the technical side healthy (site speed, structure, internal links) and keep publishing for the searches that matter, so the traditional engine keeps working while the AI layer builds.
- 06
Show you where you’re being named
We track where you show up across ChatGPT, Perplexity, Claude, and AI Overviews alongside your Google rankings and the pipeline it all produces. Awareness and revenue, on the same report.
Marketing that compounds.
What lands
Both engines, one workstream.
In plain terms: we find out what AI assistants and Google say about you, fix how your company is described online, and publish pages built to be quoted and ranked. The detail is below for your marketing team.
Answer engines
- Baseline review across ChatGPT, Perplexity, Claude, AI Overviews
- Entity and knowledge-graph cleanup
- Schema: Organization, Product, FAQ, Article
- Answer-shaped content rewrites
- llms.txt and crawler access policy
- Citation and share-of-answer tracking
Classic SEO
- Technical review and fixes
- Site architecture and internal linking
- Keyword and intent mapping
- On-page optimization
- Core Web Vitals and page speed
- Rank and organic-traffic reporting
Pages that rank
- Question-led pillar pages
- Comparison and alternatives pages
- Glossary and definition coverage
- Geo and vertical landing pages
- Content refresh on a decay schedule
Questions
What buyers ask us.
What is AEO, and is it different from SEO?
AEO is AI engine optimization (also called answer engine optimization): getting your company cited inside the answers that ChatGPT, Perplexity, Claude, and Google AI Overviews give. SEO gets you a ranked link a buyer still has to click. They share the same foundations (clean structure, credible sources), but AEO is about being quotable as well as ranked. We run both, because your buyers use both.
How does this build awareness?
When a buyer asks an AI assistant who makes the best product in your category and your company is named, that’s awareness at the exact moment they’re forming a shortlist. Being named again and again, across engines and over months, is how a company becomes the one buyers already know when your rep calls. We report it as share of answer: how often you’re named, and how you’re described.
Can you actually influence what an AI says about us?
Yes, though not by telling it what to say. You influence it the way you’d influence any well-read researcher: by being clear, consistent, backed up by other sources, and easy to quote. We make your content easy to lift, your company details unambiguous everywhere they appear, and then work the third-party sources the models rely on. It builds over time.
How do you measure something that has no rank tracker?
We run the same set of buyer questions across each engine on a schedule and log whether you’re named, how you’re described, and who gets named instead. That gives you a share-of-answer number that moves over time, reported next to your Google rankings and organic pipeline.
Does this matter for technical B2B buyers?
More than for most. Technical and procurement buyers do a lot of research before they’ll talk to a rep, and technical questions are exactly what AI assistants answer well. If the assistant explains your category without naming you, you’re absent from the part of the process where the shortlist gets written.
How long before it shows up?
Technical and schema fixes register within weeks. Getting consistently named across engines takes quarters. This is the work that builds slowest and pays off longest, which is why it’s worth starting before you feel the need.
See what the AI engines say about you today.
We’ll run the questions your buyers ask and show you the answers word for word. It’s usually the most uncomfortable slide in the deck, and the most useful.
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