01 · DISCOVER
Can systems reach the right content?
Crawler access, indexability, canonicals, sitemaps, internal links and server-rendered text determine whether a page can enter the source set.
AI Search Optimization · AIO
AI Search Optimization for companies across industries.
Rebel works on your site's crawler access, entity clarity, structured data and source content, then measures visibility across ChatGPT, Google AI, Perplexity, Claude and Bing. Each platform still decides what it crawls, ranks and cites.
What AIO means
AI Search Optimization (AIO) improves how clearly a company's public information can be found, interpreted and evaluated by AI-powered search systems. It builds on established SEO practices rather than replacing them.
How it works
AI search adds another layer to SEO.
A page still needs to be crawlable and indexable. AIO also asks whether systems can identify the company, extract a direct answer and verify the evidence behind it.
02 · INTERPRET
Can systems identify the company and topic?
Consistent entities, specific language, structured data and a coherent site graph reduce ambiguity around the company, people, services and evidence.
03 · VERIFY
Can systems evaluate the answer?
Original research, named expertise, transparent methods and consistent external references make a claim easier to assess.
What we optimize
What an AIO engagement covers.
The engagement covers six connected areas: buyer questions, technical access, entity accuracy, page structure, evidence and measurement.
WORKSTREAM 01
Baseline & buyer questions
Identify the commercial questions and comparison journeys where an AI-generated answer can influence selection. Record the brand's current visibility and the sources that appear.
- Prompt and topic map
- Competitor source baseline
- Measurement design
WORKSTREAM 02
Technical discoverability
Remove crawler, rendering, indexability and canonicalization problems that keep source pages outside search and answer-engine discovery.
- Bot and robots policy
- Sitemaps and canonicals
- Server-rendered content
WORKSTREAM 03
Entity clarity
Make the company, people, services and relationships explicit and consistent across visible content, structured data and authoritative profiles.
- Entity graph and schema
- About and expertise signals
- External profile consistency
WORKSTREAM 04
Clear source pages
Restructure important pages around clear definitions, direct answers, supporting evidence, useful comparisons and internal pathways.
- Information architecture
- Direct answers and definitions
- Content briefs and implementation
WORKSTREAM 05
Evidence & authority
Develop original data, documented methods, expert commentary, case studies and useful tools that support the claims on the site.
- First-party research
- Case-study evidence
- Relevant external references
WORKSTREAM 06
Measurement & iteration
Track observable mentions, citations, recommendation share, source coverage, referrals and qualified outcomes, then prioritize the next cycle.
- Prompt-set monitoring
- Source and competitor tracking
- Monthly action plan
The engagement
Audit, implementation and handover.
Choose a fixed-scope foundation sprint or an ongoing program. Both include implementation and a clear record of what changed.
FOUNDATION SPRINT
Establish the baseline and ship priority fixes
A fixed-scope diagnostic and implementation sprint for companies that need a technical baseline, a prioritized roadmap and the first agreed changes completed.
- Technical and crawler audit
- Entity and structured-data remediation
- Buyer-question and content opportunity map
- Priority pages restructured or briefed
- Measurement baseline and handover
ONGOING AIO
Publish evidence and monitor visibility
An ongoing program for organizations that want to develop source content, improve external entity signals and measure visibility as AI search systems change.
- Monthly content and evidence builds
- Authority and source development
- Platform and competitor monitoring
- Technical maintenance
- Executive visibility report and next actions
How it works
How the work progresses.
The sequence starts with a baseline, moves into implementation and publishing, then uses observed data to plan the next cycle.
BASELINE
Record current visibility
Map technical eligibility, brand understanding, prompts, citations and visible competitors.
IMPLEMENT
Complete the priority changes
Ship the agreed technical, entity and page-level work and document each change.
PUBLISH
Develop supporting source content
Turn expertise, data and case evidence into clear, useful pages for the target questions.
MEASURE
Review observed outcomes
Track visibility and business outcomes, then use the results to plan the next cycle.
Who it is for
When this work is a good fit.
AIO is useful when buyers research a category, compare providers or ask AI systems to narrow a shortlist. The company also needs enough expertise or evidence to support useful source content.
B2B & professional services
Address the questions prospects ask before they shortlist an agency, consultancy, legal, financial or specialist provider.
SaaS & technology
Clarify category, use cases, integrations and proof so products appear accurately in technical research and vendor comparisons.
Healthcare & education
Build transparent, expert-led and carefully sourced information for research journeys where accuracy and provenance matter.
Local & multi-location brands
Make services, locations and organizational relationships consistent across pages, profiles and structured data.
Platform limits
What the engagement can influence.
AI-generated answers are controlled by third-party systems and change by query, location, model and time. We optimize the inputs we can verify and measure the outputs we can observe.
WITHIN THE SCOPE
Eligibility, clarity, evidence and execution
- Crawler and indexability foundations
- Entity and structured-data accuracy
- Content architecture and source quality
- Publishing, authority development and measurement
DECIDED BY PLATFORMS
Citations, rankings and recommendations
- Inclusion in a third-party AI answer
- Position across personalized results
- How a platform changes its source selection
- When a new or updated page is reflected
Google's guidance: established SEO best practices still apply to its AI features, and there is no additional technical requirement or special AI schema needed. Rebel therefore focuses on crawlability, indexability, content quality, entity accuracy, authority and measurement.
Free starting point
Check one public page for AI search readiness.
Rebel's deterministic readiness audit checks one submitted page at a time. It reviews that page's technical access, canonical, extractable HTML content and structured identity, plus the site's crawler directives and sitemap signals. It does not send page content to a generative AI provider, and it does not require payment or an email address.
Check a page for AI search →Receive a full report, usually in under a minute.
FAQ
AI Search Optimization questions.
What is AI Search Optimization?
AI Search Optimization, or AIO, improves how clearly a company's public information can be found, interpreted and evaluated by AI-powered search systems. It combines technical search foundations, entity clarity, direct answers, evidence, authority and ongoing measurement.
How is AIO different from SEO?
SEO remains the foundation because AI search systems depend on crawlable, indexable web content. AIO extends that work by improving entity clarity, answer extraction, supporting evidence and measurement across synthesized answers as well as traditional search results.
Are AIO, AEO and GEO the same thing?
The terms overlap. AIO means AI Search Optimization, AEO means Answer Engine Optimization and GEO means Generative Engine Optimization. Rebel uses AI Search Optimization as the clearest umbrella term for work that improves discovery, understanding and citation readiness across AI-powered search experiences.
Can Rebel guarantee that ChatGPT or Google AI will cite us?
No. ChatGPT, Google, Perplexity, Claude and other third-party platforms decide which sources appear in each answer. Rebel improves the parts a company controls, then measures observable changes in mentions, citations, source coverage, referral traffic and qualified conversions.
Which AI search platforms do you optimize for?
The program covers the public web foundations used across ChatGPT search, Google AI Overviews and AI Mode, Perplexity, Claude search and Bing or Copilot experiences. Platform-specific crawler policies and measurement are handled separately where their behavior differs.
Do we need special AI schema or an llms.txt file?
Google does not require special schema for its AI search features, and llms.txt is experimental rather than a ranking requirement. Rebel uses accurate, relevant structured data and may add llms.txt as a convenience manifest, but neither replaces crawlable content, evidence or authority.
How long does AI Search Optimization take?
Technical and entity fixes can often ship during an initial implementation phase. Changes in mentions or citations depend on recrawling and each platform's source selection, so ongoing programs review visibility over time.
How do you measure AIO performance?
Measurement combines technical eligibility, crawler access, branded and non-branded prompt coverage, mentions, citations, recommendation share, source-page coverage, referral traffic and qualified conversions. The exact measurement plan depends on the platforms and buying journey that matter to the client.
Service page reviewed and updated 3 August 2026.
Plan an AI Search Optimization engagement.
Bring the buyer questions and markets that matter to your business. Rebel will review the current technical foundations, content and measurement gaps, then recommend a practical first scope.