Short answer: focus on making authoritative, structured, and high-quality content that AI systems can reliably parse — and use tools that create and surface that structured knowledge. Below is a practical list of the most useful tools, tactics, and why they matter.

Core tactics and why they work

• Structured data / schema markup — helps crawlers and LLMs extract factual attributes (who you are, products, FAQs, reviews, events). Many AIs rely on schema to surface succinct answers.
• Public knowledge graph presence — entries in sources like Wikidata, Wikipedia, and major directories feed knowledge graphs used by search engines and some LLM copilots.
• Clear canonical content (authoritative pages) — authoritative, well-maintained pages (about, product specs, support articles, FAQ) are preferred sources for concise AI answers.
• Branded verification & profiles — verified business profiles (Google Business Profile, LinkedIn company page, Apple/Google app listings) increase trust and visibility.
• FAQ/AMP/Featured-snippet-ready content — short Q&A blocks and structured FAQ markup increase chance of direct answers.
• Content signals & SEO fundamentals — topical authority, internal linking, high-quality backlinks, and fast mobile pages still matter because retrieval models lean on high-quality web signals.

Tools and platforms to implement this (by category)

• Structured-data creation and testing
  • Schema generators: Schema.org generator tools (many free online UIs) to produce JSON-LD for Organization, WebSite, FAQPage, Product, HowTo, JobPosting, Event, Review, etc.
  • Validator/testing: Rich Results Test / Schema Markup Validator (to confirm markup is valid) and browser extensions that preview structured data.
• SEO & content-audit platforms (help identify content opportunities and fix ranking issues)
  • Ahrefs, Semrush, Moz, Screaming Frog — keyword research, competitor analysis, site crawls to find answer-oriented opportunities (FAQ, featured snippet targets).
• Knowledge-graph and public-data presence
  • Wikipedia & Wikidata — create/maintain encyclopedic entries and structured Wikidata items (these feed many knowledge graphs).
  • Major directories and data aggregators — Google Business Profile, Bing Places, data aggregators (Infogroup/Acxiom) and industry directories.
• On-site content and user-help platforms
  • CMS + FAQ/knowledge-base systems: WordPress (with schema plugins), Zendesk, Intercom, Help Scout, Freshdesk — for maintaining well-structured help content that’s easy to mark up.
• Review, ratings, and trust signals
  • Review platforms (Trustpilot, G2, Capterra, Google Reviews) and review schema markup to surface reputation data.
• Brand verification & email trust
  • Google Business Profile verification; BIMI (Brand Indicators for Message Identification) for email sender brand visibility in inboxes (builds trust).
• API and data feeds for large platforms
  • Merchant/Product feeds (Google Merchant Center, Amazon Brand Registry, Shopify feeds) to surface product facts directly to platforms and their assistants.
• Monitoring and measurement
  • Rank/visibility tools: tools above + SERP-feature trackers (to see featured snippets, knowledge panels).
  • Content performance: Google Search Console, Bing Webmaster Tools (which show what queries and pages appear as rich results).

Tactical checklist you can apply right away

1. Ensure you have an accurate, verified Google Business Profile and up-to-date site contact info.
2. Create/maintain a concise “About” and product pages with clear facts (brand name, founding date, headquarters, product specs).
3. Add JSON-LD schema for Organization, WebSite, Breadcrumb, Product, FAQPage, HowTo, Review where appropriate — then validate.
4. Publish short Q&A style help pages (one question per page or clear Q/A blocks) to target direct-answer formats.
5. Build/clean a Wikidata item and (if appropriate) a neutral Wikipedia page that cites reliable sources.
6. Keep product feeds (Google Merchant, marketplaces) accurate and complete — include GTINs, brand fields, images, descriptions.
7. Use SEO tools (Ahrefs/Semrush) to find queries where you can be the best short answer and optimize those pages.
8. Monitor SERP features and knowledge panels with Search Console + rank-tracking to measure lift.

Notes on AI/LLM-specific considerations

• Many LLM-powered assistants use multiple sources (search, knowledge graphs, proprietary index). The more trustworthy, structured, and cited your content is across those sources, the higher the chance it’s used.
• Avoid manipulative tactics (spammy schema, scraped content). Quality and verifiability matter for inclusion.
• If you control a product or app, provide official API or data endpoints and merchant feeds that platforms can ingest.

If you want, I can:

• Audit one page (tell me the URL) and list missing schema and quick fixes; or
• Produce a JSON-LD snippet for Organization + FAQ for a specific brand page (give me the brand name and 3–5 FAQ Q&A pairs).