GEO Pricing
GEO Pricing for the USA Market
GEO pricing depends on technical complexity, content depth, source authority gaps, prompt tracking needs, and implementation support.
AI visibility stack
USA
Perplexity
Gemini
ClaudeA baseline prevents paying for content before technical gaps are fixed.
A 30-day sprint handles the highest-impact infrastructure fixes first.
Ongoing GEO scales content, source authority, and prompt tracking.
Who this is for
Built for revenue teams that need AI search to become measurable.
US founders, CMOs, and growth teams budgeting for AI search visibility work.
Understand what should be included in a GEO engagement before comparing retainers, audits, or implementation sprints.
A strong GEO scope should include technical, entity, content, source, and measurement work.
Cheap content-only packages often miss crawler access, schema graphs, and third-party validation.
The best first investment is usually an audit or sprint that defines the implementation backlog.
What AY Rank fixes
The machine-readable trust layer behind AI recommendations.
These are the implementation layers that make your brand easier to crawl, parse, validate, cite, and recommend across answer engines.
Crawler and indexation access
Audit robots.txt, sitemap inclusion, canonicals, noindex rules, redirects, and AI crawler policy.
Machine-readable entity graph
Connect Organization, WebSite, WebPage, Service, FAQ, Article, and Person schema with stable IDs.
Citation-ready page structure
Restructure priority pages with direct answers, FAQs, comparison tables, proof blocks, and source links.
Third-party source graph
Map listicles, directories, reviews, and comparison pages that AI engines use when recommending vendors.
Deliverables
A practical backlog, not a vague AI strategy deck.
Each deliverable ties back to a page, prompt, schema, crawler policy, source, or measurable visibility gap.
AI crawler access matrix
Sitemap and canonical cleanup plan
llms.txt priority URL map
JSON-LD entity graph recommendations
Page-specific OG image and metadata map
Prompt visibility baseline
Listicle and directory outreach target sheet
30-day implementation backlog
Related paths
Keep the source graph connected.
These pages reinforce the same entity, service, city, and industry signals for AI search systems and human buyers.
FAQ
Is this only traditional SEO?
No. AY Rank keeps the SEO foundation, but the work is designed for AI search extraction, source selection, entity clarity, and prompt-level visibility.
Which AI platforms does AY Rank optimize for?
AY Rank optimizes for ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot by improving crawler access, structured data, content format, and third-party source signals.
What happens in the first month?
The first month establishes the baseline, fixes the highest-risk technical issues, builds the machine-readable trust layer, and creates the next implementation backlog.
See Where Your Business Stands in AI Search. Then Move.
Drop your details and we'll review your business, look at where AI engines surface (or skip) you, and come back with the visibility gaps we see and what we can do to close them.
- →A review of your business and how AI engines currently surface (or skip) you
- →A read on the visibility gap between you and the competitor AI cites today
- →Suggestions on what we can improve to lift your AI search presence
- →A tailored next step, shaped around your business and category
One client per category per market. Once we start working with you, your category is closed to direct competitors.
