AI Visibility Optimization Roadmap

Implementation checklist

• Add a "What is [Your Brand]?" block high on the homepage — 2–3 sentences, plain language, consistent everywhere.
• Add a "Who it is for" block (e.g., Founders, agencies, SaaS, local services).
• Create a tight module/feature list with one-liners — keep consistent across all pages.
• Write one canonical product definition paragraph and reuse it across homepage, pricing, about, proof center, and reference pages.

Implementation checklist

• Add Organization schema (with sameAs links to LinkedIn, X, YouTube, Crunchbase, etc.).
• Add WebSite + SearchAction schema if site search exists.
• Add WebPage schema per page (name, description, url, breadcrumb).
• Add BreadcrumbList sitewide.
• For proof items published as pages, add Article schema.
• Ensure all schema fields are consistent with visible copy and your product definition.

Implementation checklist

• Create 3 "source-style" reference pages written in a neutral, factual tone:
• AI Visibility Glossary — definitions for AI Visibility, citations, share of voice, entity clarity, agent compatibility, etc.
• Methodology — how scores are computed, what they measure, limitations, update frequency.
• Benchmarks — baseline benchmarks, sample reports, and what good looks like by category.
• Use Article schema for each reference page.
• Link to these pages from the homepage, Proof Center, and /llms.txt.

Implementation checklist

• Turn Proof Center into a mini library with structured case studies.
• Each case study follows: problem → baseline → actions taken → results → timeframe.
• Include screenshots, tables, and data where possible.
• Add a "Last updated" date on each proof item.
• Link every claim to a source or measurement method.

Implementation checklist

• Create a "How to improve AI visibility in 30 days" page with weekly structure:
• Week 1: Baseline scan + fix entity basics (product definition, schema, consistency).
• Week 2: Content and schema upgrades (rich structured data, reference pages).
• Week 3: Distribution and citations (publish, syndicate, earn mentions).
• Week 4: Measurement and iteration (track changes, refine, repeat).
• Link to product features naturally within each week.

Implementation checklist

• Add /llms.txt listing your most important reference pages (glossary, methodology, pricing, proof center, FAQ, contact).
• Ensure robots.txt allows crawling of key content routes.
• Keep /seo/ directory accessible only if it helps; otherwise rely on rendered pages for bots.
• If blocking /seo/, ensure Google can still render injected content.

Implementation checklist

• Every key page should link to: What it is, How it works, Proof, Pricing, FAQ, Getting started, and Contact.
• Use consistent, descriptive anchor text across the site.
• Avoid generic link text like 'click here' — use specific labels that describe the destination.

Implementation checklist

• Create neutral, factual comparison pages such as "Axis Suite vs separate tools" (GA4 + Looker + HubSpot + Ahrefs, etc.).
• Create an "AI visibility vs SEO vs GEO" page explaining the differences.
• Do not bash competitors — be specific about tradeoffs and use cases.
• Include data, features, and pricing comparisons where possible.

Implementation checklist

• On pricing and product pages, add a "facts" block containing:
• Pricing tiers and limits (contacts, scans, emails, API calls).
• Supported platforms and integrations.
• Update frequency and data sources.
• Security and compliance notes.
• Use schema.org/Product or custom JSON-LD as appropriate.

Implementation checklist

• Set up a weekly runbook:
• Track brand mentions across ChatGPT, Perplexity, Gemini, and Claude using your top "money prompts."
• Track citation sources — which pages get cited most.
• Update the pages that should be cited (glossary, methodology, benchmarks).
• Map your top 5 "money prompts" to the exact page and schema/facts needed to win those queries.