./ai-seo --geo --aeo
AI SEO
Generative and Answer Engine Optimization for the AI search era.
Ranking is no longer the finish line. We make your business readable, trustworthy and quotable to the assistants your buyers now ask first.
./free_tool
See where you stand before you commit to anything.
./what_we_check
What we check.Every scan, every page.
Organic SEO
- Redirects, canonical handling and HTTPS/www hygiene
- robots.txt rules and sitemap health
- Titles, meta descriptions and heading structure
- JSON-LD types and schema validity
- Word depth, internal linking and templated content risk
AI readiness
- Crawler access for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot and other answer engines
- Named-crawler robots groups, not just wildcard rules
- llms.txt and llms-full.txt presence and quality
- MCP endpoint discovery and metadata
- Whether your entity data is machine readable
Evidence, not guesses
- Real HTTP requests against your live site
- No JavaScript execution, so results match crawler reality
- Every finding links to the exact URL that produced it
- Checks we could not complete are marked unverified
- Scores follow a published, versioned policy
./definition
What AI SEO means here.
Start with the plain version. When someone asks ChatGPT, Perplexity, Gemini or Google's AI Overviews a question, they get one written answer with a few sources named underneath. AI SEO is the work of making sure your business is one of those named sources. Not a link buried at position seven, a sentence inside the answer itself.
Traditional SEO optimizes for a list of ten blue links, where the click is the prize and the searcher does the comparing. AI search collapses that list. The model reads the candidate pages, decides which claims it can safely repeat, and writes the comparison for the user. If your page is hard to crawl, vague about who you are, or buries the answer under three paragraphs of warmup, the model quietly picks somebody else. We wrote about the specific mechanical differences in GEO vs SEO: what actually differs.
Two disciplines sit under the AI SEO umbrella. Generative Engine Optimization (GEO) targets the models that write answers from scratch, and leans on entity clarity, structured data and extractable claims. Answer Engine Optimization (AEO) targets direct question and answer surfaces, and leans on question-shaped headings and self-contained responses. Same fundamentals, different destinations. We do both, because in practice the same page has to satisfy both.
./included
Six workstreams.All of them shipped here first.
Every capability below runs on this site today. You can inspect the robots file, the schema markup and the MCP server yourself before you hire anyone.
Crawler and indexing access
Robots.txt rules that actually allow the AI user agents you want, plus a maintained llms.txt that points assistants at your best pages. If a crawler is blocked, nothing else on this list matters.
- ▸Robots.txt audit for AI user agents
- ▸llms.txt and llms-full.txt authoring
- ▸Sitemap coverage and redirect health
Structured data and schema markup
Valid, page-appropriate JSON-LD so machines read your pages as facts rather than prose. Organization, Service, Article, FAQPage, BreadcrumbList and LocalBusiness, wired per template and validated in CI.
- ▸Per-template JSON-LD architecture
- ▸FAQPage and BreadcrumbList coverage
- ▸Automated schema validation
Entity and authority signals
One consistent identity across your site and the wider web, so a model can connect the brand, the services and the location into a single entity instead of three fuzzy ones.
- ▸Canonical entity graph with stable @id values
- ▸sameAs profile consolidation
- ▸Internal topic clusters and glossary linking
Answer-first content structuring
Pages rewritten so each section leads with the answer, defines its terms, and stays extractable. Short paragraphs, honest headings, key takeaways, and no throat-clearing before the point.
- ▸Question-shaped headings
- ▸Key takeaways and summary modules
- ▸Definition and citation blocks
Citation tracking
Referral detection for ChatGPT, Perplexity, Claude, Gemini, Copilot and AI Overviews, joined to your search data so you can see which pages assistants actually surface.
- ▸AI referral attribution dashboard
- ▸Search Console pipeline and reporting
- ▸Monthly performance report by email
Public API and MCP discoverability
A machine-readable surface for your content: clean public endpoints and a Model Context Protocol server so assistants can query your catalog directly instead of guessing from HTML.
- ▸MCP server with typed tools
- ▸Public read endpoints for core content
- ▸IndexNow pings on publish
Schema markup is the piece most sites get half right. Valid JSON-LD built on the shared Schema.org vocabulary turns a page of prose into facts a model can lift without guessing. The full pattern is documented in structured data that gets you cited by AI assistants.
Crawler access is the other quiet failure. Assistants use named user agents that a default robots file often never mentions, and the rules are published in each vendor's own crawler documentation. We reconcile your robots rules against them directly.
./process
How it works.Four steps, no retainer theatre.
An optimization engagement is not a build, so the shape is different: we audit what exists, fix the technical blockers, restructure the pages that matter, then measure. Answer-first restructuring follows the method in answer-first content structuring.
Audit
We scan crawler access, schema coverage, content structure and existing AI citations, then score where you stand today.
Fix
Technical gaps first: crawler rules, llms.txt, schema markup, sitemaps and redirects. These land fast and unblock everything else.
Restructure
Priority pages rewritten answer-first, with definitions, takeaways and internal links that connect the topic cluster.
Measure
Citation and referral tracking wired up, with a monthly report showing which assistants found you and which pages they used.
AI SEO is also bundled into our marketing platform builds, where the schema, content structure and analytics wiring are part of the site from day one rather than retrofitted later.
// faq --ai-seo
Answers, up front.
What is AI SEO?
AI SEO is the work of making a business findable and quotable inside AI-generated answers. Assistants like ChatGPT, Perplexity, Gemini and Google AI Overviews read your pages, summarize them, and cite a handful of sources. AI SEO makes sure your site is one of the sources they can read, trust and name.
How is AI SEO different from traditional SEO?
Traditional SEO competes for a position in a list of links, where the click is the prize. AI SEO competes for a sentence inside a generated answer, where the citation is the prize. The underlying fundamentals still matter: crawlability, clean structure, real expertise. What changes is the target. A page can rank on page one and still never be quoted, because the answer engine could not extract a clean, self-contained claim from it.
What is Generative Engine Optimization (GEO)?
GEO is the discipline of shaping content and technical signals so a generative model uses your material when it writes an answer. In practice that means answer-first paragraphs, unambiguous definitions, consistent entity naming, structured data an extractor can parse, and crawler access for AI user agents. Answer Engine Optimization (AEO) is its close sibling, focused on direct question and answer surfaces such as featured answers and voice results.
How do you get a business cited by ChatGPT and Perplexity?
You make the citation easy. That means AI crawlers are allowed in robots.txt, an llms.txt file points them at your best material, every important page carries valid schema markup, and each section opens with a direct, standalone answer rather than a warmup paragraph. We then track which assistants send referral traffic and which pages they cite, so the next round of work is aimed at what is actually landing.
Do you offer AI SEO on its own, or only as part of a website build?
Both. AI SEO runs as a standalone engagement on a site you already own, and it is also folded into our marketing platform builds. If you are starting from an existing site, we begin with an audit of crawler access, schema coverage and content structure, then work through the gaps in priority order.
How long before AI SEO work shows results?
Technical fixes such as crawler access, schema markup and llms.txt take effect as soon as the assistants recrawl, often within days. Content restructuring and authority signals move slower, usually one to three months, because models refresh their view of a site gradually. We report on citations and assistant referral traffic monthly so the trend is visible either way.
// ai_seo_inquiry
Get quoted, not just ranked.
If your buyers are asking an assistant before they ask a search engine, the work starts now rather than next quarter. Tell us the domain and what you sell, and we will come back with the specific gaps standing between your pages and a citation.