
The way people search is shifting. Instead of typing a query into Google and scrolling through links, more and more people are asking ChatGPT, Claude, Perplexity, or Gemini (Google's own AI) to give them a direct answer. These tools then read websites in the background and summarize what they find, often citing two or three businesses by name.
The businesses that get named are the ones whose websites are technically prepared to be read by AI. The ones that are not, simply do not appear in the answer. There is no second page to scroll to. If your business is not in the summary, it is invisible.
Most websites today are not prepared. Even well-built sites are usually missing the specific signals AI systems look for, and many are silently blocking AI crawlers entirely through default security settings, without the owner knowing.
We have put together two services to address exactly this for you. It is structured in two parts so you can choose what fits best:
The technical foundation. We update your robots.txt, create an llms.txt file, review your security plugin settings so AI crawlers are not silently blocked, and audit and implement Schema.org structured data so AI systems can properly understand what your business does. This is the work that makes your site reachable and parseable.
A page-by-page review of your 5 most important pages, evaluating how AI systems will actually quote your business. AI engines do not summarize the way humans read. They extract specific sentences. We identify which sections of your site are quotable and which are not, and provide specific rewrite recommendations to make sure your most important information is the part that gets surfaced.
The shift toward AI search is happening whether businesses prepare for it or not. The cost of being early is small. The cost of being late is being absent from the conversation altogether.
The technical foundation. This is the work that makes your site reachable and parseable to AI engines.
1. Robots.txt Update: Deployment of updated robots.txt with explicit directives for AI crawlers: Answer-engine bots (ChatGPT-User, ClaudeBot, PerplexityBot, others) allowed for AI search visibility; training crawlers (GPTBot, CCBot, Google-Extended, others) blocked to prevent content use in AI model training.
2. Llms.txt Creation: Creation and deployment of a new llms.txt file at site root. Markdown-formatted curated index of priority pages (services, about, contact, FAQ, key resources) with one-line descriptions per page. Positions site for emerging AI crawler standard adopted by Anthropic, Cloudflare, Vercel, and others.
3. Wordfence Rate Limit Review: Applies only to sites using Wordfence security plugin. Review and configuration of Wordfence Rate Limiting settings to prevent silent throttling of AI crawlers. Default Wordfence installations throttle crawler traffic at 30 page views per minute, which routinely blocks legitimate AI crawlers (ChatGPT, Claude, Perplexity) during normal indexing. Adjustment of crawler rate limits to appropriate thresholds and verification that AI bots are passing through via Wordfence Live Traffic log.
4. Cloudflare WAF Review: Applies only to sites using Cloudflare. Review of Cloudflare firewall rules (Bot Fight Mode, Super Bot Fight Mode, custom WAF rules) to confirm AI crawlers permitted in robots.txt are not silently blocked at the network layer. Configuration of allowlist rules for permitted AI crawlers.
5. Schema.org Structured Data: Audit of existing JSON-LD structured data using Google's Rich Results Test and Schema.org validator. Identification of schema gaps based on business type. Implementation of missing schema types including LocalBusiness (full NAP, hours, geo coordinates, service area), Service schema for each service page, BreadcrumbList for site navigation, and Organization markup. Validation of all schema after deployment.
Note: llms.txt is an emerging standard not yet universally honored by AI crawlers. Implementation is forward-looking optionality rather than a guaranteed AI search ranking factor.
A page-by-page review of your 5 most important pages, evaluating how AI systems will actually quote your business. AI engines do not summarize the way humans read. They extract specific sentences. We identify which sections of your site are quotable and which are not, and provide specific rewrite recommendations to make sure your most important information is the part that gets surfaced.
1. Content Quotability Audit: Page-by-page review of 5 priority pages for AI extractability. Identify which prospect-level questions each page should answer, flags non-quotable sections written in narrative or brand-led style, and provides specific rewrite recommendations for each finding. Delivered as a written report.
2. Content Implementation: Direct implementation of the rewrite recommendations from the audit on the live website. Content changes only: replacing existing copy with the recommended rewrites. No design, layout, structural, or new section work is included in this scope. Implementation is limited to content swaps (replacing existing copy with the recommended rewrites). Includes one round of client review before final publishing.
Note: Part B covers 5 priority pages as standard scope. Additional pages can be added at $125 per page. Pages with significantly more content than typical (10+ sections, extensive FAQ sections, or long-form content) may be quoted individually.

This service is structured in two parts so you can choose what fits best: