Platform
AI Readiness
Score your site against what AI engines need to understand, trust and recommend you.
See it inside Findable
A live look at AI Readiness — overall score, subscores and per-page issues.
What it is
AI Readiness is Findable's brand-wide composite score. It measures whether your brand is set up to be crawled, mentioned, reviewed and found across the web — combining four pillars: Crawlability, Mentions, Reviews and Web Presence. Because how much each pillar matters depends on your brand's archetype, we don't publish one universal weighting.
Why it matters for AI search
AI engines do not pick a page from a SERP — they extract entities, evidence and answers from sites they can reliably parse. A site that is invisible to those parsers is invisible to recommendations, no matter how good the brand or content.
The shift
"AI engines cannot recommend what they cannot understand."
How Findable helps
Findable checks your brand against the four AI Readiness pillars — Crawlability, Mentions, Reviews and Web Presence — scores each one, and lists the specific issues lowering your readiness, with clear fixes for each. Deep technical checks of your own website live in Discovery Signals and roll up into the Crawlability pillar here.
From AI answers to decisions
Readiness is a starting line: fix what AI cannot parse before chasing what it does not cite.
- 1Crawl websiteCrawl every important page on your site.
- 2Detect issuesDetect crawl, schema and entity issues.
- 3Score readinessScore readiness per surface and overall.
- 4Recommend fixesList concrete fixes for each issue.
Key capabilities
Brand-wide AI readiness
AI Readiness is Findable's brand-wide composite score. It measures whether your brand is set up to be crawled, mentioned, reviewed and found across the web — combining four pillars: Crawlability, Mentions, Reviews and Web Presence.
Why pillars, not just pages
AI engines do not pick a page from a SERP — they extract entities, evidence and answers from across the web. A brand that is weak on any pillar is harder to recommend, no matter how good a single page looks.
What this allows teams to do
- •Assume your brand is AI-ready
- •Discover reputation gaps by accident
- •Treat AI readiness like classic SEO
- •Ship a brand engines cannot trust
- •Score Crawlability, Mentions, Reviews and Web Presence
- •Get a pillar-by-pillar list of what is missing
- •Address what AI engines specifically weigh across the web
- •Build a brand engines can find, cite and recommend
What teams find
Anonymous examples from real Findable workspaces.
One SaaS brand raised its Crawlability pillar after resolving access issues surfaced by Discovery Signals.
One D2C brand found its Reviews pillar was holding back an otherwise strong Mentions pillar.
One B2B brand closed its Web Presence gap by expanding coverage across the sources AI engines cite.
What you can see inside Findable
- Overall readiness score
- Crawlability pillar score
- Mentions pillar score
- Reviews pillar score
- Web Presence pillar score
- Fix recommendations
- Readiness trend over time
Methodology
AI Readiness blends four pillars — Crawlability, Mentions, Reviews and Web Presence. How much each pillar counts depends on your brand's archetype, so we don't publish a single fixed weighting table; each pillar lists the underlying issues found.
AI Readiness combines crawlability checks, mention tracking, review analysis, and web-presence checks into a single brand-wide composite, weighted according to the brand's archetype.
Examples of AI Readiness analysis
Illustrative scenarios showing how teams assess whether their brand is set up to be found and recommended by AI.
- •A vendor checks whether ChatGPT, Claude, Gemini, and Perplexity can crawl its site, find mentions of its brand, and see its reviews.
- •A platform reviews its web presence across the sites and profiles AI systems draw on to describe it.
- •A school checks its crawlability, mention volume, and review footprint feeding into how AI systems characterize it.
How AI Readiness is composed
AI Readiness is a brand-wide composite built from four pillars — Crawlability, Mentions, Reviews, and Web Presence. How much each pillar counts toward the overall score varies by brand archetype rather than a single fixed formula.
- CrawlabilityWhether AI systems can access, read, and interpret the brand's site.
- MentionsHow often and how well the brand is mentioned across third-party sources AI cites.
- ReviewsThe breadth, volume, and sentiment of the brand's review footprint.
- Web presenceHow consistently the brand shows up across the sources AI systems draw on.
Findable tracks these four pillars so teams can see where their brand-wide AI Readiness is strong and where it needs work.
Related concepts
Foundational terms used across this capability.
Underlying research
Calibrated against real page and content scans.
Related platform areas
- Authority BuildingGrow the third-party signals AI engines treat as evidence — directories, editorial, reviews and communities.
- Content StudioTurn visibility gaps into content briefs, drafts and AI-ready publishing — all from one workspace.
- SourcesUnderstand which third-party and owned sources shape AI answers about your brand and competitors.
Learn more
Deeper guides on the concepts behind this capability.
AI Readiness priorities differ by industry.
Teams using this capability
Anonymized examples of how teams in different industries apply this capability.
- Healthcare SaaSA healthcare-SaaS team hardens crawlability and site accessibility.
- Property managementA property-management team strengthens its web presence.
- Business advisoryA business-advisory team builds out mentions on sources AI cites.
- Executive educationAn executive-education team grows its review footprint.
Compare AI visibility platforms
Side-by-side comparisons with other AI visibility and SEO tools.
Related industry research
External references on AI search and generative answer engines.
External links open in a new tab.
Frequently asked questions
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