Content teams

Blog SEO report example

Understand how PageLens AI reviews blog and content pages for crawlability, metadata, headings, internal links and AI answer readiness.

Open live example report Run your scan

What to look for

Thin or duplicated metadata
Missing internal links to product pages
Poor answer structure for search and AI summaries

Likely findings

Posts lack dateModified metadata
FAQ content is not marked up or linked
Canonical URLs are inconsistent

How to use the report

Use report findings to improve templates globally.
Connect content pages back to conversion and tool pages.

Report anatomy

A PageLens AI report is built to move from evidence to repair.

Example pages should be crawlable because the buyer needs to know what they get before starting a scan. These are the sections the Launch Pass turns into action.

Owner verdict

A plain-English launch decision before the report dives into technical findings.

Evidence snapshot

Rendered-page proof: screenshots, observed HTML, headers and the exact page affected.

Priority queue

Critical and high-risk issues first, with owner impact and acceptance criteria.

Copyable prompt

Copy-paste prompts for an AI builder, developer or agency to apply safely.

Re-scan proof

Before/after evidence after the deployed site changes.

Before / fix / after

The useful part is the proof loop.

A report should not leave you translating scanner output. It should show what failed, what to change, and what improved after the deployed page was scanned again.

Before

Posts lack dateModified metadata

Fix

Use report findings to improve templates globally.

After

Re-scan the live URL and keep the score movement, screenshot and resolved-finding proof.

Agent handoff

Use the report with the builder that created the problem.

The report is intentionally written so a founder, developer, agency or AI coding agent can act without re-diagnosing the page.

Cursor: paste the finding, route, screenshot note and acceptance criteria into the repo chat.

Codex: attach the Markdown report and ask for a scoped patch plus tests where relevant.

Lovable/Bolt: paste the priority finding and ask for the smallest safe UI or metadata fix.

Agency handoff: send the client-safe summary, then keep the detailed fix queue internal.

Start small

Use the example to choose the smallest useful scan.

Choose the $29 Launch Pass for every issue and fix on the page. Choose the $29 Launch Pass when you also need exports and one verification re-scan.

Free Growth Baseline

First visible signal

Launch Pass

$29

One URL, every finding

Launch Pass

$29

Exports and one verification re-scan

Frequently asked.

Is this the same as a live PageLens AI report?: It is an explainer page for a report example. The live public sample and paid reports contain the actual report UI, screenshots, findings, fix prompts and re-scan proof.
Can I use this with Cursor, Codex, Lovable or Bolt?: Yes. PageLens AI reports are designed to become fix prompts. Copy the finding evidence and acceptance criteria into your AI builder or coding agent, then re-scan the deployed page.
What should I buy after reading an example report?: Start with the free Ship Check, then choose the $29 Launch Pass for up to 15 public pages, desktop and mobile evidence, exports and one verification re-scan.

Related pages.

PageLens AI blog AI Search readiness

Frequently asked.

Is this the same as a live PageLens AI report?

It is an explainer page for a report example. The live public sample and paid reports contain the actual report UI, screenshots, findings, fix prompts and re-scan proof.

Can I use this with Cursor, Codex, Lovable or Bolt?

Yes. PageLens AI reports are designed to become fix prompts. Copy the finding evidence and acceptance criteria into your AI builder or coding agent, then re-scan the deployed page.

What should I buy after reading an example report?

Start with the free Ship Check, then choose the $29 Launch Pass for up to 15 public pages, desktop and mobile evidence, exports and one verification re-scan.