AI Search Optimization

Get cited in ChatGPT,
Perplexity, and AI Overviews.

AI search is replacing traditional results for high-intent queries. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) make sure your WordPress site is the source AI models reference, not the one they skip.

llms.txt deployed
AI crawler access
Citation tracking
The Problem

Your prospects are asking AI,
not Google.

When someone asks ChatGPT or Perplexity for the best WordPress agency, a managed hosting provider, or a specific product recommendation, a list of brands gets named. If yours isn't one of them, you don't exist in that conversation. The same goes for Google AI Overviews, which now sit above traditional search results for a growing share of high-intent queries.

AI engines don't rank pages the way Google does. They synthesize answers from sources they can crawl, parse, and trust. That means clean entity signals so the model knows who you are, citable passages it can quote, the right crawler rules in your robots.txt, a valid llms.txt at your root, and structured data that AI models can actually consume.

Traditional SEO got your content findable. AI optimization makes it referenceable. The two aren't the same job.

What We Handle

The signals that get
your brand cited.

We work the technical layer of AI search: crawler access, entity graphs, citable content structure, AI-ready schema, and citation tracking. The foundation that makes WordPress sites referenceable by AI models.

Answer Engine Optimization (AEO)

Get cited in ChatGPT, Perplexity, and Claude answers. We restructure your content into citable passages, build the entity signals AI models look for, and surface authority markers (author, source, last updated) that make your pages reference-worthy.

Generative Engine Optimization (GEO)

Show up in Google AI Overviews and other generative summaries. We optimize at the passage level for query fan-out coverage, fix the structural patterns AI synthesizers prefer, and align your content with the signals that get pulled into AI-generated answers.

llms.txt & AI Crawler Access

Publish a valid llms.txt at the root of your domain. Configure robots.txt with explicit rules for GPTBot, PerplexityBot, ClaudeBot, Google-Extended, and the rest. Allow the crawlers you want and block the ones you don't, with no guesswork.

Entity Graph & AI-Ready Schema

JSON-LD that AI models can actually parse: Organization, Person, Product, Article, FAQ, HowTo, and BreadcrumbList connected as an entity graph. We map your business, people, and products into the structured signals AI relies on to understand who you are.

Citation & Visibility Tracking

Where does your brand show up when prospects ask ChatGPT, Perplexity, or Claude a question? We track citations and brand mentions across major AI engines, monitor changes over time, and flag visibility drops before they cost you pipeline.

Agent-Ready Discovery Layer

AI agents are starting to browse and transact directly. We make sure your WordPress site exposes the discovery surfaces that matter: clean response headers, content negotiation, MCP server cards where they apply, and the protocol signals agents look for.

The AI-Readiness Stack

Five layers we audit on every site.

The technical surface AI engines and agents check before they trust, cite, or transact with your site. We score each layer and fix what's missing.

Discoverability

robots.txt, XML sitemaps, llms.txt, and response headers that tell AI crawlers what exists and where to look.

Content Accessibility

Clean HTML, markdown content negotiation, and passage structure that AI models can parse without guessing.

Bot Access Control

Explicit AI crawler rules, content usage signals, and authentication for the bots you want to let in.

Protocol Discovery

Schema, entity graphs, MCP server cards, and API surfaces that expose what your site can do.

Commerce Readiness

Product schema, structured offers, and emerging agentic commerce signals for WooCommerce stores.

How It Works

Scan, optimize, track. Repeat.

01

Scan

Free AI visibility scan checks your robots.txt rules for AI bots, llms.txt presence, schema validity, entity signals, and current citation footprint across major AI engines.

02

Optimize

We publish llms.txt, fix AI crawler directives, deploy the entity graph in JSON-LD, restructure passages for AI parsing, and surface FAQ and HowTo markup where it earns citations.

03

Track

Ongoing citation tracking across ChatGPT, Perplexity, Claude, and Google AI Overviews. When visibility drops, we trace it to the underlying signal and fix it.

For WooCommerce Stores

AI shopping is happening. WooCommerce stores need a different stack.

Product Entity Graph

Product, Offer, AggregateRating, and Brand schema connected so AI shopping engines can identify your catalog, compare against alternatives, and surface your products in conversational queries.

Conversational Query Coverage

Shoppers ask AI in natural language: best, cheapest, alternative to, compatible with. We restructure product and category copy to match those queries directly, with the FAQ and comparison patterns AI engines lift.

Agentic Commerce Signals

Emerging protocols (x402, ACP, MPP) let AI agents discover, evaluate, and transact. We monitor the standards, expose the signals that apply today, and keep your store positioned as they mature.

FAQ

Common questions.

Find out where you stand
before your competitors do.

Free AI visibility scan checks crawler access, llms.txt, entity signals, schema, and current citation footprint. Real fixes for the gaps, not a generic score.

The scan is free. The follow-up is a real person, not a sales sequence.