Home / Services / AI SEO & AEO
SEO & AEO
AI SEO Agency: Answer Engine Optimization for B2B
AI SEO is the work of getting your company surfaced and cited when buyers ask an AI assistant (ChatGPT, Perplexity, Google's AI Overviews, Copilot) a question your product answers. Answer engine optimization (AEO) is the same discipline under the name most practitioners use. SEO earns you rankings on a results page; this earns you a place inside the answer itself.
For B2B teams that want AI visibility they can measure: share of answer against named competitors, not a vanity score.
AI SEO, AEO, and GEO: what's the difference?
AI SEO, AEO, and GEO are three names for one discipline: making your brand appear in AI-generated answers. AI SEO is the broadest label and the one most people search for. AEO emphasizes being the answer; GEO emphasizes appearing inside generated text. The tactics do not meaningfully diverge, and we run them as one workstream: splitting them into separate retainers is a pricing decision, not a technical one.
One discipline, two surfaces. Rankings feed citations, AI systems lean heavily on sources that already rank, which is why we run SEO and AEO as one program, not two invoices.
LLM SEO: what it actually means
LLM SEO is optimizing for how a language model reads and reuses your page rather than how a crawler indexes it. In practice that means writing text a model can lift cleanly: a paragraph that answers the question in its first two sentences, states who is speaking, and stands on its own without the three paragraphs above it. A passage that builds to its point over six sentences gets paraphrased instead of quoted, and paraphrased sources get cited less often.
It is not a separate channel bolted onto search. Roughly three quarters of AI citations come from pages already ranking in the top ten organic results, which means the fastest route to being cited is usually being findable first. That is why we run this alongside B2B SEO rather than instead of it.
That schema gets you cited. A February 2026 experiment showed ChatGPT tokenizes JSON-LD as raw text rather than parsing it semantically. Schema reliably strengthens your entity in Google's Knowledge Graph, which improves rankings, and rankings are where citations are drawn from. It is a disambiguation tool, not a direct line into a model's answer.
That llms.txt moves anything. Monitoring across hundreds of millions of bot events found only a few hundred requests to the file, and Google has said publicly it does not support it. We publish one because it costs an hour and does no harm. We do not sell it as a growth lever.
What does our AEO service include?
Our AEO service covers six areas: entity and schema architecture, answer-block content structuring, citation-worthy assets, brand mentions and digital PR, prompt-set tracking, and agent-readiness. Each one exists for a single reason. AI systems cite sources they can parse, verify, and trust, so we make your site easy to quote.
Entity & schema architecture
We define your Organization, Person, Product, and Service entities and mark them up consistently across the site, so engines can tell exactly who you are, what you sell, and who vouches for you. Entity clarity is the difference between being summarized and being skipped.
Answer-block content structuring
Every key page gets question-shaped headings with direct, self-contained answers in the first 40-60 words: the format AI systems lift into responses. This page is written that way; so is the rest of our site.
Citation-worthy assets
Engines quote sources that add something: original data, definitions, comparisons, honest limitation lists. We plan and produce the assets your category will get cited for, instead of publishing another opinion post.
Mentions & digital PR
AI answers weigh third-party corroboration: review platforms, industry lists, and communities like Reddit, which AI engines weigh heavily. We identify where your competitors are cited instead of you and close those gaps deliberately.
Prompt-set tracking
A fixed panel of buyer prompts across five categories, re-run on a schedule across ChatGPT, Perplexity, and Google's AI search, then aggregated, because single sessions vary. This is the measurement layer everything else reports into.
Agent-readiness
Clean, parseable HTML that doesn't depend on JavaScript to render content, fast pages, complete schema.
We also ship llms.txt as free technical hygiene: it costs nothing, but we won't sell it to you as a strategy.
How do we measure AI visibility?
We measure AI visibility as share of answer: a fixed panel of buyer prompts across five query categories, sampled in repeated runs across ChatGPT, Perplexity, and Google's AI search, tracked against named competitors. You see where you're cited, where competitors are cited instead, and where we're not winning yet.
The panel spans five query categories: broad industry, geography + industry, problem-driven, comparison, and branded. Results are reported directionally: single screenshots prove nothing because AI responses vary between sessions, so we aggregate repeated runs and cross-check against Search Console, tying AI visibility back to traffic and pipeline. We show the losing categories too: a report with only wins is marketing, not measurement.
Today, AI assistants send most B2B sites a small share of traffic: often low single digits. Two reasons it still matters: that traffic converts 3-9× better than average organic (Semrush; Seer Interactive), and buyers increasingly form shortlists inside the chat before they ever visit a vendor site. AEO is a hedge that happens to be measurable.
Works with your stack
AEO is platform-agnostic: schema, entities, answer-block content, and measurement work the same whether your site runs on Webflow, WordPress, or a custom stack. The difference is execution speed, on some platforms we implement changes ourselves; on others we work through your developers with specs and QA.
Webflow
Our home turf: we design and build here, so AEO changes ship directly into the site without a ticket queue. Webflow's native AEO features are Enterprise-only; we deliver the same outcomes on any plan.
WordPress
Full AEO program with implementation specs for your team or ours: schema, content restructuring, entity cleanup, and the same prompt-panel measurement.
Custom / headless
We work at the template and component level with your engineers (structured data, rendering, and content architecture) and validate every change in the measurement panel.
Results
What we can claim today, without asterisks: AEO architecture (entities, schema, answer-block structure, agent-readiness) ships as the baseline of every project we've built since 2026, most recently a full SEO + AEO implementation for Push AI. Our first measurement panel is in the field now; results publish here with full methodology: baseline date, prompt set, engines, and the categories we lost. No AI-citation claims until then.
Related services
AI visibility sits on top of search visibility. These two carry the rest of the load, and most engagements use more than one.
B2B SEO
Keyword clusters mapped to pages, technical fixes, and content written in-house: the search visibility AI citations are drawn from.
SEO + AEO Audit
Where you rank, where AI cites you, and a prioritized 90-day roadmap you keep either way.
Last reviewed: July 2026
Frequently asked questions
What is AI SEO?+
AI SEO is optimizing so that AI assistants (ChatGPT, Perplexity, Google's AI Overviews, Copilot) surface and cite your company when someone asks them a question your product answers. It overlaps heavily with classic SEO, because most AI systems still retrieve from the search index: roughly three quarters of AI citations come from pages already ranking in the top ten. The added layer is structure, entity clarity, and being quotable in a way a model can lift cleanly. AI SEO, AEO, and GEO describe the same work: we run them as one engagement.
Does schema markup help you get cited by AI?+
Indirectly, and less than most agencies imply. A February 2026 experiment showed ChatGPT tokenizes JSON-LD as raw text rather than parsing it semantically. What schema reliably does is strengthen your entity in Google's Knowledge Graph, which improves organic rankings, and rankings are where most AI citations are drawn from. So schema is worth doing carefully and worth being honest about: it is a ranking and disambiguation tool, not a direct line into a model's answer.
Do we need an llms.txt file?+
Probably not for the reason you have been told. Monitoring across hundreds of millions of bot events found only a few hundred requests to /llms.txt, and Google has said publicly it does not support the file and has no plans to. We publish one because it costs an hour and does no harm, but we do not sell it as a growth lever. What actually moves AI visibility is content structure, entity consistency, and third-party mentions.
What is answer engine optimization (AEO)?+
Answer engine optimization is the work of earning citations in AI-generated answers: in ChatGPT, Perplexity, Gemini, and Google's AI Overviews. It combines structured content, schema and entity signals, digital PR, and measurement, so that when buyers ask an AI for vendors like you, your brand is part of the answer.
What's the difference between AEO and GEO?+
They're names for the same discipline. GEO (generative engine optimization) emphasizes the model side; AEO emphasizes the answer the buyer sees. A few practitioners also say "LLM SEO" or "AI search optimization." The tactics are identical (structure, entities, citations, measurement) so we use AEO and don't argue about labels.
How do you measure AI citations?+
With a fixed prompt panel, not one-off screenshots. We define a set of prompts your buyers actually ask (spanning five categories, from broad industry to branded) sample each one in repeated runs across the major engines, and aggregate share of answer versus named competitors. Single-session dashboards lie, so we report trends, with raw data available.
Is AEO worth it if AI traffic is still small?+
Honest answer: AI assistants drive a small share of most sites' traffic today: often low single digits. But that traffic converts 3-9× better than average organic, shortlists are already forming inside AI chats, and citations compound slowly. Starting early is cheap; rebuilding authority after competitors own the answers is not.
Can you guarantee my brand appears in ChatGPT?+
No, and nobody honest can. AI answers are probabilistic and change between sessions, which is exactly why we measure share of answer across a sampled prompt panel instead of promising placements. What we commit to: the inputs (structure, entities, citations, content) and transparent reporting on whether the share moves.
How long does AEO take to show results?+
Typically a few months to see measurable share-of-answer movement, driven mostly by your domain's existing authority and content depth. Technical fixes (schema, structure) land in weeks; earning citations and mentions compounds over months. We set a baseline in week one, so you can see the slope, not just wait for the summit.
Do you do AEO for WordPress or custom-built sites?+
Yes. The methodology (schema, entity architecture, answer-block content, prompt-panel measurement) is platform-agnostic. On WordPress and custom stacks we deliver implementation-ready specs and work with your developers; where we built the site ourselves, we implement directly. Either way, measurement and reporting are identical.
Do you run Reddit campaigns for AI visibility?+
Yes: as ongoing presence, not a "campaign." Most Reddit marketing sold today is account farms, and measured experiments show that effect dies within days of stopping. We build the durable version: real expertise in the right threads, resource pages on your site, and share-of-answer tracking to prove it moves.
See where AI answers mention you, and where they don't
The audit maps your current share of answer against competitors and ends in a prioritized 90-day roadmap. Paid, fixed-scope, and credited toward a project if we work together.