Creative& AI friendly Avada Corporate WordPress Build

I’m ready to split my online presence into two streamlined WordPress sites and need a developer who can handle both parts smoothly.

First, build a brand-new corporate-information site on the Avada theme. The brief in the attachment lays out the page structure, colour palette and copy, but the overall vibe I want is creative and colourful—something that lifts us above the typical corporate look while still remaining professional. Every page must be SEO-friendly (clean permalinks, schema, meta tags, XML sitemap) and “AI-friendly” so future integrations such as chatbot widgets or content-recommendation plugins can drop in without rework.

Second, take my current site—presently on Avada and suffering a few glitches—and rebuild it with the AiPower template. Content stays the same; I mainly need the theme migration, bug fixes and a quick optimisation pass so it loads fast and behaves.

Deliverables
• New Avada-based site live on our hosting, child theme in place
• Existing site rebuilt on AiPower, fully functional
• Green scores on PageSpeed Insights for both desktop and mobile
• SEO basics set up: sitemap, robots.txt, keyword-mapped titles, and any required 301 redirects
• Brief documentation covering custom code, plugins used and update steps

There will be about totally around 100 phoots which have been edited for appliaciton on website. also 3-5 short videos.

All design assets, copy and detailed section requirements are in the attached file—please review before you quote so timelines stay realistic.

More explanation about the AI friendly:
I. Technical Architecture Standards: Ensuring AI Can "Understand and Access"
Optimize Crawl Permissions: Configure the robots.txt file to explicitly grant crawling permissions to AI bots (e.g., Baiduspider, Bytespider). At the same time, block invalid pages like the backend and login pages to prevent the dilution of the AI's crawl budget.
Deploy Structured Data (Schema): Implement accurate Schema.org markup for core pages (such as articles, FAQs, products, and corporate websites). This acts as a "content manual" for AI, helping it quickly understand key information like page entities, authors, and publication dates. It is a crucial technical foundation for improving AI citation rates.
Ensure Web Performance and Mobile Responsiveness: AI prioritizes pages that load smoothly without layout shifts. Websites must optimize Core Web Vitals (e.g., LCP, FID, CLS), enable lazy loading for images, compress static resources, and provide an excellent reading experience on mobile devices.
Flat URL Architecture: Avoid deeply nested directory structures. Keep the URL hierarchy for core pages to two levels or fewer, and use semantic, hyphenated naming conventions to facilitate efficient AI crawling.
Deploy LLM-Specific Files (e.g., llms.txt): Create a plain text file named llms.txt in the root directory to serve as a dedicated sitemap for LLMs, helping AI quickly locate authoritative sources and core content.
II. Content Structure Standards: Ensuring AI Can "Easily Extract and Contextualize"
Front-load Precise Definitions: In the first paragraph of an article or page, provide a precise definition of the core concept in 50 words or fewer, along with an authoritative source. This format is highly favored by AI and is extremely likely to be directly quoted.
Q&A and Modular Layout: Since AI searches are predominantly phrased as questions, H2/H3 headings should ideally take the form of questions (e.g., "How to determine..."). Use a "Q&A" format in the body text, and organize information with the priority of "Tables > Lists > Short Paragraphs." Ensure each content block is self-contained, making it easy for AI to extract elegantly.
Eliminate Contextual Dependencies: Avoid phrases that heavily rely on surrounding context, such as "see above" or "as shown in the figure below." Ensure that when AI extracts a specific paragraph independently, it can still accurately understand its meaning.
III. Authority and Authenticity Standards: Ensuring AI "Dares to Cite and Trusts"
Strengthen E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness): AI places a high premium on content authenticity. Articles should be written by named authors with clearly stated backgrounds or credentials, and the original publication date should be displayed at the bottom. Avoid "thin content" that is mass-produced by AI, stuffed with keywords, or lacks practical experience.
Build an Authoritative Citation Network: Naturally embed specific data and quantitative metrics within the content, and cite authoritative institutions (e.g., Gartner, official policy documents, academic papers) as sources. Additionally, establish a logical internal linking structure and include outbound links to authoritative external sources where appropriate, demonstrating to AI that the content is well-founded.
Standardize Entity Citations: When mentioning entities such as brands, individuals, or organizations, always link to their authoritative pages (e.g., the official "About Us" or team page). This helps AI build a clear network of entity relationships.