From 70/100 to 99/100
Strengthening a website's foundations for AI discovery
A Dubai-based education and training organisation already had a well-established brand, useful content and a functioning website. The problem was not what the business offered. It was how clearly automated systems could discover, interpret and use that information.
We improved the website's machine-readable structure, crawl pathways, business information and AI-facing resources. Under FlareFalcon's current scoring model, its AI Readiness score increased by 29 points, from 70/100 to 99/100.
The project focused on building a stronger foundation for AI discovery. It did not measure whether individual AI platforms cited or recommended the organisation.
ChatGPT
Claude
Gemini
Microsoft Copilot
Perplexity
Grok
DeepSeek
Meta AI
Apple Intelligence
The website made sense to people, but not consistently to machines
The business had strong credentials, recognisable services and plenty of useful information across its website. A visitor willing to browse several pages could understand what it offered, who it served and how to get in touch.
Automated systems had a harder time.
Important information was distributed across timetable pages, practical-information sections, accordions and booking routes. The homepage provided limited explanatory context, specialist machine-readable resources were missing, and the site did not present search engines and AI assistants with one clear and consistent description of the business.
The information existed, but automated systems had to work too hard to find and interpret it.
Before: a functioning website with important machine-readable gaps
The initial audit found a reasonable technical base, but several weaknesses limited the site’s readiness for AI-assisted discovery and automated browsing.
The most important issues
- No working llms.txt, llms-full.txt or agents.md resources
- Limited explanatory context on the homepage
- Inconsistent identification of services and customer journeys
- Contact and booking routes that were difficult to extract
- Incomplete structured business information
- Crawler controls that did not clearly support AI discovery
- Moderate desktop performance and page-stability issues
AI Readiness Snapshot
A focused review of the website foundations that help automated systems discover, interpret and use business information.
Good foundation, room to improve
This historical snapshot scored 70/100 under FlareFalcon's current website-foundation model. It assesses technical quality, crawl and discovery controls, business clarity and AI-readiness signals.
The project predates FlareFalcon's live AI Discovery, Brand Understanding and Source Authority tests. This score measures AI readiness, not whether individual AI platforms cited or recommended the organisation.Technical foundation
Performance, accessibility, HTTPS and page-quality signals.
Crawl and discovery
Robots access, sitemaps, navigation and crawl pathways.
Business clarity
How clearly services, location and contact information are expressed.
AI readiness signals
Structured data, entity signals and optional AI-facing resources.
Priority findings
Specialist machine-readable resources were missing.
Important business, service and customer-journey information was difficult for automated systems to extract.
The original audit did not test whether individual AI platforms cited or recommended the organisation.
Recommended actions
Publish a concise and accurate llms.txt file as an optional machine-readable guide.
Publish an llms-full.txt file containing a more detailed machine-readable business overview.
Publish an agents.md file with clear guidance for automated systems.
What was working
Most automated technical and page-quality checks passed.
Search and machine crawlers had a usable discovery path through robots.txt and the sitemap.
Machine-readable organisation schema was already present.
Checks performed
After: a clearer, more complete machine-readable foundation
Following the changes, the website reached 99/100 under the current website-foundation model.
It received full marks for crawl and discovery, business clarity and AI-readiness signals. The only remaining point related to desktop Lighthouse performance, which remained good but fell just below the audit's highest threshold.
AI Readiness Snapshot
A focused review of the website foundations that help automated systems discover, interpret and use business information.
Strong automated foundation
This historical snapshot scored 99/100 under FlareFalcon's current website-foundation model. It assesses technical quality, crawl and discovery controls, business clarity and AI-readiness signals.
The project predates FlareFalcon's live AI Discovery, Brand Understanding and Source Authority tests. This score measures AI readiness, not whether individual AI platforms cited or recommended the organisation.Technical foundation
Performance, accessibility, HTTPS and page-quality signals.
Crawl and discovery
Robots access, sitemaps, navigation and crawl pathways.
Business clarity
How clearly services, location and contact information are expressed.
AI readiness signals
Structured data, entity signals and optional AI-facing resources.
Priority findings
Desktop Lighthouse performance remained just below the audit's highest threshold.
The original audit did not test unbranded recommendations across live AI platforms.
Automated checks cannot confirm whether every business detail remains accurate and current.
Recommended next steps
Run live AI Discovery, Brand Understanding and Source Authority tests.
Monitor the buying-intent prompts and recommendation queries most relevant to prospective customers.
Periodically verify structured data, business information and key customer journeys.
What was working
The website had a strong automated technical foundation.
Full marks were achieved for crawl and discovery, business clarity and AI-readiness signals.
Desktop Lighthouse best-practice and SEO checks scored 100/100 and 90/100.
Checks performed
Find out how visible your business is to AI
Our free AI Visibility Audit combines a 100-point assessment of your website foundations with live tests across ChatGPT, Claude and Gemini.
You will receive a scored report covering AI Readiness, AI Discovery, Brand Understanding and Source Authority, together with the highest-priority actions for improving how clearly AI systems can find, understand and recommend your business.
Analyse your AI visibility
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