Found on Google and inside AI answers
Get found on Google. Get cited by ChatGPT.
Half your buyers still search. The other half ask an AI assistant and never click. An AI SEO service has to win both, so we write the content that answers the question and structure it so Google ranks it and ChatGPT, Claude and Perplexity can quote it.
01 · Content marketing
Where being found becomes a lead.
Search and AI answers put your work in front of someone who already has the problem. They read a clear explanation, come back for the next one, and by the time they're ready to talk, you're the source they learned it from. That's the lead.
That sequence is content marketing, and for a tech company it is the whole strategy: attract the right buyer, teach them how the problem behaves, earn trust before anyone asks for a meeting. AI SEO gets it discovered. The newsletter and the founder's posts keep that reader until they are ready.
02 · Process
How we do it
Four steps, in this order. The order is the method.
Start from the question, not the keyword.
What your buyers say out loud decides what gets written.
Write the answer properly.
One self-contained explanation per page — the thing that ranks and the thing a model can lift.
Make it machine-readable.
Schema, FAQ blocks, clean structure, llms.txt.
Route the reader onward.
Each page points to the newsletter and the founder's posts, so a visitor becomes an audience.
03 · How We Help
What this looks like in practice
What an AI SEO service does that a keyword tool can't
Keyword tools tell you what people type. We start from the questions your buyers actually ask, then write the answer properly, because an assistant quotes an answer and skips a keyword page.
AI search optimization services: getting into the answer
Ranking and being cited are different jobs. We structure pages so a model can lift a clean, complete answer, and we publish an llms.txt file so crawlers know what you do without guessing.
SaaS SEO and B2B SEO for a product with no backlinks
No domain authority means the broad terms are out of reach for a while. We win the narrower questions your buyers type, which is also where AI answers get sourced, and let it compound.
04 · What We Deliver
What you actually get
A defined scope and concrete outputs, so you always know what's being built and what done looks like.
- Question-led content strategy mapped to buyer intent
- Articles and guides written to be quoted, not skimmed
- Answer engine optimization: schema, FAQs, clean structure
- Generative engine optimization for ChatGPT, Claude and Perplexity
- An llms.txt file and structured data for AI crawlers
- AI citation and search visibility reporting
05 · Outcomes
What this is built to produce
Found
Ranked on Google for the questions that matter
Quoted
Your words inside the answer, with the source link
Owned
Compounding discovery with no ad spend
- Founders launching a new product with no audience yet
- Teams building software to sell into enterprise
- Operators who want owned, compounding channels, not ads
- Founders who want the work done in their voice, not handed off
06 · Who Is This For?
Built for founders taking a product to market
This is for founders and operators launching a new product, including teams selling into enterprise, who need to earn trust before they can sell.
07 · Related Case Studies
See it in action
65%
Organic search growth
Arizona's Leading Solar Company for Residential and Commercial Solar
A fast-growing solar company needed steady lead flow. We built a search and AI-optimized website and content engine that delivered consistent, qualified leads.
+38%
Sign-up growth in 2 months
Building Trust and Engagement for Kizuna's Caregiver Platform
Kizuna needed to reach caregivers and families at scale. We ran a content and SEO plan that got Kizuna in front of them.
6 Weeks
From nothing to launch
Launched with authority, not from a standing start
An Amazon compliance SaaS needed to enter the market credible, not cold. We built their brand, site, and positioning so they launched as a name buyers could trust.
08 · FAQ
Common questions
Start here
Usually one of three reasons, and they are diagnosable in an afternoon. The site renders in the browser, so the crawlers behind these assistants receive an almost empty file. Or the pages exist and answer nothing directly, so there is no self-contained passage worth quoting. Or the answer is there and buried under four paragraphs of preamble. A model assembling an answer needs a clear explanation it can attribute, and copy written to persuade gives it nothing to lift.
Most of the work is identical and the target is different. Both reward a page that answers a real question cleanly, in HTML a crawler can read, from a source it can attribute. SEO then asks whether Google will place you in a list. Answer engine optimization asks whether an assistant will quote you and name you, where there is no list and often no click. Anyone selling it as an entirely new discipline is overcharging. Anyone saying nothing has changed has not watched how their buyers search.
Ranking and being quoted are decided differently. A ranking is a position in a list, which authority and links heavily influence. A citation is a model choosing which passage to lift, which depends on whether a clean, complete answer exists on the page and whether it can be attributed. A page can hold position 3 and contain no liftable passage, because the answer is spread across five paragraphs. Pages that get quoted answer the question in the first sixty words and name their subject.
Yes, and it is easier than ranking for the same term. Ranking is a contest for a fixed number of positions where domain authority is a heavy input, so a new site waits months. A generated answer has no fixed positions, so a model takes whichever explanation is clearest and most attributable, and a small site can have the clearest explanation. Being new is not a disadvantage here. The constraint is different: your pages have to be in an index these crawlers actually read.
No, and nobody can. A citation is a model's choice at the moment someone asks, and there is no ranking to buy, no submission to file and no index position to hold. What can be controlled is whether the crawlers can read your pages at all, whether a self-contained answer exists for them to lift, and whether enough related pages exist that you come up across different phrasings of the same question. Better Marketing reports what happened against a fixed prompt set rather than forecasting it.
In practice
By fixing a prompt set and re-running it, not with a rank tracker, because an answer is generated fresh each time and has no stable position. Better Marketing fixes ten prompts a buyer would realistically ask, runs them across ChatGPT, Perplexity, Gemini and Google AI Overviews on a schedule, and records each result as cited with a link, named without one, or absent. It is coarser than a rankings report. It is also the only version that produces a comparable series over time.
llms.txt is a plain-text file describing your site for AI crawlers, and the honest position is that nobody has demonstrated it changes citation. Better Marketing publishes one because it costs almost nothing and the option is worth holding. What we will not do is present it as the reason you get cited. The two things that reliably move citation are whether a crawler can read your HTML at all, and whether the page contains a self-contained answer worth lifting.
Reddit threads are among the sources AI assistants reach for most often, which is why Reddit is worth the discipline it demands. The discipline is the point. You cannot link to yourself without being removed, so the only durable approach is answering questions properly and letting people click your profile. That makes it slow and hard to fake. It also means a good Reddit answer keeps earning visibility long after a LinkedIn post has scrolled away. Astroturfing gets caught and costs the account.
Write, structure and measure. In practice that means new pages answering questions your buyers are asking, rewrites of pages that are close but buried, the schema and internal linking that hold it together, and the prompt re-run that shows what moved. Not included: paid search, bought links, or a promise of a specific position by a specific date. Better Marketing does not run ads at all, so nothing here depends on a budget staying switched on. The mix shifts over time, and early months are weighted toward new pages while later months are weighted toward rewrites.
The tactics will change and the requirement will not. Every version of this so far has rewarded the same thing: a page that answers a real question clearly, in markup a machine can parse, from a source it can attribute. That was true for featured snippets, it is true for AI Overviews, and it will be true for whatever replaces them. What ages badly is anything built to game one specific format, which is also why this approach is the slower one.
Last reviewed August 2026
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