On-page SEO
Whether important pages are crawlable, indexable, internally linked, and written around a clear buyer/search intent.
- •Titles and meta descriptions
- •H1/H2 structure
- •Canonical URLs
- •Internal links
- •Indexable page depth
Audit Methodology
Our website audits score the signals that determine whether a site can be found, understood, cited, trusted, and converted — by humans, search engines, and answer engines.
Seven-area scorecard
Each dimension is scored from live evidence. We do not treat one technical file, one schema block, or one AI-search trick as a replacement for a useful, crawlable, internally linked website.
Whether important pages are crawlable, indexable, internally linked, and written around a clear buyer/search intent.
Whether the site gives answer engines direct, citeable, plain-language answers instead of forcing inference from brochure copy.
Whether search systems can understand who the business is, where it operates, who it serves, and what services it is known for.
Whether the site proves expertise with useful pages, field notes, case studies, methodology, comparisons, or explainers.
Whether bots and users can fetch, render, understand, and navigate the site without avoidable friction.
Whether forms, navigation, contrast, labels, tap targets, and content structure create avoidable access friction or risk.
A weighted judgment of how findable, understandable, trustworthy, and conversion-ready the site is today.
Evidence discipline
We fetch the public site, robots.txt, sitemap files, representative pages, rendered screenshots, schema blocks, metadata, and crawl status evidence from the current live web.
Each category is scored on the signals visible to users and crawlers. Scores are not recycled from prior runs, and stale competitor/client data is not reused.
We separate fast in-control fixes from deeper content, design, platform, and authority work so teams know what can move first.
For implemented changes, we build or serve the site, check critical URLs, parse schema, verify robots/llms/sitemap bodies, and capture visual evidence.
AI-search standard
Crawlable pages, useful visible answers, internal links, accurate structured data, entity proof, local signals, performance, and accessibility still do the heavy lifting.
We add curated resource indexes like llms.txt, but we treat them as supporting context — not a substitute for real pages or schema that matches what users can see.
Common questions
No. Google Search Central states there is no special AI-only schema or machine-readable file required for AI Overviews or AI Mode. We still use accurate Schema.org markup where it matches visible content because it helps search systems understand the page.
LeadByAI treats llms.txt as a curated resource index for inference-time assistants. It supports discovery and context, but it does not replace crawlable pages, internal links, robots.txt, sitemaps, canonical tags, or visible source text.
No. The ADA/accessibility score flags practical user-friction and risk signals. It is not legal advice and is not a formal WCAG or ADA certification.