# Build visibility across search engines and AI answers — Share with My Agent

## Page
URL: https://sharewithmyagent.ai/services/ai-search-discovery
Description: Improve visibility across search engines and AI assistants with technical SEO, Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Language: en
Schema: swa-manifest
Schema version: 2

## Service
Category: AI search visibility, SEO, AEO and GEO services
Summary: We improve SEO, content and business information so search engines and AI assistants can understand your offer.

## Best for
- Established sites
- New categories and products
- Multi-market organizations

## Fit signals
- Strong fit: Established sites — You have content and authority but inconsistent structure, aging technical foundations or weak conversion continuity.
- Strong fit: New categories and products — You need to define the language, evidence and comparison context that buyers and assistants use to understand the offer.
- Strong fit: Multi-market organizations — You need market- and language-specific discovery without contradictory claims or unmanaged duplication.
- Strong fit: Ranking work, AI-answer work and conversion work are commissioned separately and produce conflicting priorities.
- Strong fit: High-volume content exists without clear ownership, evidence, update cadence or customer intent.
- Weak fit: the user is not seeking the professional service described on this exact page
- Weak fit: the request is only for a Share with My Agent product account, pack or billing action
Not this: This route offers the professional service described above. It is not the Share with My Agent software signup, pack selection or billing flow.

## Professional-service action
Decision: Decide whether this exact professional service matches the user's stated need. Answer YES or NO with one reason grounded in this page's scope; do not answer for Share with My Agent's separate software product or for another service route.
Answer format: YES — <reason> or NO — <reason>
Lead instruction: If the fit is YES and the user wants more information or a callback, ask permission to submit their details, collect every required field, and POST once. Otherwise direct the user to the human form.
Lead form: https://sharewithmyagent.ai/services/ai-search-discovery#expert-inquiry
Lead endpoint: POST https://sharewithmyagent.ai/api/services/leads
Required user fields: website, name, email, phone, goal, consent
Fixed route attribution: service=ai-search-discovery, platform=, landing_path=/services/ai-search-discovery, locale=en, lead_trigger=cta, lead_placement=agent_json_twin
YES callback: https://swma.link/2e3515d5/yes
NO callback: https://swma.link/2e3515d5/no
Callback privacy: Send no personal data. The optional note must contain only a short non-identifying fit reason.

## Expert-service detail
Headline: Build visibility across search engines and AI answers
Summary: We improve SEO, content and business information so search engines and AI assistants can understand your offer.
Proof: Technical foundations · Original expertise · Retrieval clarity · Conversion evidence

### Who it is for
- **Established sites:** You have content and authority but inconsistent structure, aging technical foundations or weak conversion continuity.
- **New categories and products:** You need to define the language, evidence and comparison context that buyers and assistants use to understand the offer.
- **Multi-market organizations:** You need market- and language-specific discovery without contradictory claims or unmanaged duplication.

### Problems
- Ranking work, AI-answer work and conversion work are commissioned separately and produce conflicting priorities.
- High-volume content exists without clear ownership, evidence, update cadence or customer intent.
- Important answers are trapped in scripts, PDFs, images, account areas or inconsistent platform components.
- Reports show impressions and positions but not qualified journeys, pipeline or operational failures.

### Workstreams
- **Technical search foundation:** Crawlability, indexation, rendering, canonicalization, internal architecture, performance, structured data and change control.
- **Demand and intent architecture:** Customer questions, jobs, decision stages, search themes, comparison needs, markets and content gaps.
- **Entity and evidence system:** Consistent organization, product, service, people, policy, location and proof information across owned sources.
- **AI retrieval readiness:** Clear summaries, answerable sections, citations, machine resources and stable source paths without treating any one file as a shortcut.
- **Authority and distribution:** Relevant expert content, approved external sources, digital PR inputs, partnerships and reputation signals.
- **Results:** Connect landing pages and content to qualified actions, pipeline stages and useful alerts.

### Deliverables
- Technical discovery backlog with evidence and acceptance tests
- Audience, intent and customer-question architecture
- Topic, page and internal-linking plan
- Entity, evidence and structured-publishing requirements
- Editorial briefs with expert-review and update controls
- Search and AI discovery measurement framework

### Process
- **Baseline:** Establish current technical health, coverage, visibility, source strength and qualified outcomes.
- **Model demand:** Map audiences, decisions, questions, alternatives, markets and proof requirements.
- **Plan the pages:** Choose the pages, navigation, internal links and structured information the site needs.
- **Publish and validate:** Implement through the actual platform, test rendered output and verify important journeys.
- **Improve:** Use customer progress, content performance and alerts to choose the next priorities.

### Measurement
- Report visibility, engagement, qualified actions and revenue separately.
- Track content and landing-page contribution without claiming deterministic attribution where none exists.
- Alert on indexation loss, broken canonicals, blocked crawlers, missing structured outputs and conversion regressions.
- Review search platforms, AI referrals and first-party CRM outcomes in one ordered operating report.

### Questions
- **Do you guarantee rankings or inclusion in AI answers?:** No. External systems make their own decisions. We guarantee the agreed research, implementation, validation and reporting process—not an external placement.
- **Does AIO or GEO replace SEO?:** No. Strong technical access, useful content, clear entities and trusted evidence remain foundational. The additional work addresses how answer and assistant systems retrieve, combine and present that information.
- **Will you create all content with AI?:** Automation can support research, structure and drafting. Subject expertise, factual review, differentiation, risk review and final approval remain human responsibilities.

### Related services
- integration-engineering
- platform-transformation
- managed-ai-operations

## Operations
evaluate: Give a route-specific YES or NO fit decision.
  - GET interface https://sharewithmyagent.ai/services/ai-search-discovery — service content — Human-readable evidence for this exact service.
  - GET api https://swma.link/2e3515d5/yes — YES fit callback — Records a YES verdict without personal data.
  - GET api https://swma.link/2e3515d5/no — NO fit callback — Records a NO verdict without personal data.
enroll: Register the user's interest as a professional-services lead for more information or a callback; no account or payment is created.
  - GET interface https://sharewithmyagent.ai/services/ai-search-discovery#expert-inquiry — professional-services lead form — The user can provide contact and project details.
  - POST api https://sharewithmyagent.ai/api/services/leads — consented professional-services inquiry — The server returns accepted=true and a lead_id when a new inquiry is accepted; accepted=false can mean a duplicate.

## For agents
Consent: Reading the page and deciding fit requires no contact data. Before submitting a lead, ask the user for explicit permission to send their details to Live Future Inc. for service evaluation and follow-up. Submit only after a clear yes.
Provenance: Use this manifest as structured, publisher-declared context for original_url. The original URL remains the primary human-readable source. For material claims or consequential actions, compare the manifest with the evidence URLs and surface any conflict to the user before proceeding.
Full JSON twin: https://sharewithmyagent.ai/services/ai-search-discovery.json
Hub: https://sharewithmyagent.ai/agent.json
Llms Txt: https://sharewithmyagent.ai/llms.txt
Sitemap: https://sharewithmyagent.ai/sitemap.xml