Blog

How to download AGNURA’s SEO Analysis PDF, what the multi-page file includes, when to share PDF vs JSON, and how to handle the file without treating the score as a ranking certificate.

What browser SEO audits can miss on JavaScript and SPA pages: timing, client-rendered DOM, shadow trees, and how AGNURA’s current-tab scrape works without a full rendering guarantee.

How Open Graph and Twitter Cards differ from title tags and meta descriptions, how AGNURA flags each surface, and how SERP vs social previews fall back when tags are missing.

Use AGNURA Add Lead to POST analysis JSON to your webhook: Shopify platform label, detected email, configured URL, n8n-style setup, and security warnings for contact data.

Export AGNURA website analysis as JSON: Copy JSON vs Download JSON, what the file contains, how it differs from SEO JSON and Apollo CSV, and how to handle contact data safely.

When AGNURA labels a prospect Shopify vs WordPress, which research signals change: platform/theme, product vs post counts, chat, marketing tags, and contacts. No platform superiority claim.

How to read AGNURA chat-widget and marketing-stack detections: what signature matching covers, why lazy-loaded or custom tools are missed, and how to use signals without treating them as proof.

How to place a focus keyword in title, H1, meta, and body without stuffing: AGNURA’s density bands, placement flags, auto-detect vs override, and why intent beats percentage targets.

What Flesch and related readability scores mean on a web page, how AGNURA flags very hard or difficult copy, why scores are English-oriented heuristics, and why they are not Google ranking factors.

A practical JSON-LD checklist for Article, Product, FAQPage, and Organization markup: AGNURA’s completeness flags, what to verify against visible content, and what the audit does not prove.

What an on-page SEO audit should flag for H1 and headings: missing or multiple H1s, skipped levels, long pages without subheads, and why one clear topic beats rigid doctrine.

How to check title tags and meta descriptions for intent and length: AGNURA’s 30–60 and 70–160 heuristics, SERP preview truncation, and why length is not a ranking rule.

What AGNURA’s support opportunity score measures, the exact DOM formula and labels, when the number helps triage, and when treating it as precise ranking becomes false precision.

Find public emails, phones, and location hints on a company site: what to check by hand, what AGNURA scans on the tab and same-origin contact pages, and how to use contacts ethically.

How AGNURA guesses WordPress, Shopify, and other stacks from meta, assets, and globals; how theme detection works; why confidence is not proof; and how to use signals safely.

AGNURA’s Pages metric counts unique URLs from /sitemap.xml only: nested maps, safety caps, alternate-root limits, and why the number is not site size or indexed pages.

What LinkedIn profile fields AGNURA loads for Write Reply and invite notes, how messaging-only fetches work, what lazy/private views miss, and what gets sent to managed AI.

How AGNURA managed AI credits and Pro billing work: free allotment, monthly Pro credits, Stripe, what you control, and privacy trade-offs.

Why AI drafting is not sending: map AGNURA’s generate → review → insert → you-send gates across Gmail, LinkedIn, WhatsApp Web, and Reddit. No auto-send.

Compare on-page AI drafting in the composer you already use versus copying into a chatbot tab: context, speed, privacy surface, control, and when each workflow fits.

An in-browser AI writing assistant drafts inside the page you already use: modal, context, insert, you send. How it differs from chatbot tabs and vague “writes everywhere” claims.

How to use AI draft help on Reddit without spam: read rules, add real value, review before post, disclose when it matters, and never treat AGNURA as a growth hack.

Use AGNURA Write a Reply on Reddit: load post and visible non-promoted comments, review, insert into the comment box, and post yourself. Rules sidebar is not scraped.

Use AGNURA Write Reply on WhatsApp Web: load open-chat history (best-effort), follow-up vs reply, review, insert into compose, and send yourself. Web only.

How AGNURA helps on WhatsApp Web and Reddit: private chat vs public community, generate vs rewrite vs Voice to Text, context limits, and human send without auto-posting.

Use AGNURA’s Generate Post wizard on LinkedIn: pick Industry news, select industries, check RSS headlines and sources, generate ideas, draft, insert, and publish yourself.

Draft a LinkedIn feed comment with AGNURA using the post and visible comments, add a real point (not engagement bait), review, insert manually, and post yourself.

Draft a LinkedIn invite note with AGNURA Write Invite Note: profile context, 200-character cap, human review, manual insert. No acceptance-rate promises.

Use AGNURA Write Reply on LinkedIn messaging: load profile and thread (best-effort), steer with What I want to say, review, insert manually, and send yourself.

Map AGNURA’s LinkedIn writing surfaces: classic messaging, Sales Navigator inbox, invite notes, feed comments, Generate Post wizard, Voice to Text, and human insert/send.

Side-by-side: Gmail Generate Reply can use thread, reply prompt, knowledge base, and What I want to say. Rewrite Message uses rewrite prompt and draft only. When to pick each.

Use AGNURA’s Generate Reply in Gmail: load the conversation thread, steer with What I want to say, review the draft, insert manually, and send yourself.

Personalize outreach using only verified website facts: research, pick one true hook, draft with templates or Generate AI Email, then cut invented details before Gmail send.

How research-to-email outreach works: verify website facts, draft with templates or AI, review in Gmail, and send yourself. Where AGNURA fits without auto-send.

How canonical tags, robots meta, robots.txt, and XML sitemaps differ, when to use each, common mix-ups, and how AGNURA’s page audit checks them.

How to scrape visible Apollo.io company rows into AGNURA local storage, export CSV, and work within DOM-only limits: scroll first, no API, no pagination automation.

What AGNURA’s 0 to 100 SEO score means, how High/Medium/Low penalties work, why a perfect score is not a ranking goal, and what to fix first.

A practical one-page SEO checklist aligned with AGNURA’s current-page checks: title, meta, headings, indexability, content, social, schema, and light origin probes.

An on-page SEO audit checks one URL’s title, content, links, and related signals. How it differs from crawling, rankings, and performance tools, and how AGNURA fits.

A practical workflow to research a prospect site in the browser, verify public signals by hand, then write an email from only what you can defend.

Website intelligence means reading public site signals before you write. How it differs from enrichment and crawling, and how AGNURA’s active-tab research fits.

Why local Chrome settings are not the same as local AI. What AGNURA stores on your device, what syncs to your account, and what still leaves for managed AI.

Fix AGNURA menus that do not appear, generate or rewrite failures, activation toggles, sign-in / credits errors, cache issues, and host-site DOM changes.

How to open AGNURA’s current-page SEO report, read the score and issues, optionally set a focus keyword, and export JSON or PDF without ranking promises.

How to run AGNURA website analysis on the active tab, read platform confidence and contacts, use the one-hour cache, and reload for a live refresh.

How to sign in at app.agnura.com, use free AI credits, upgrade to Pro when you need more, and fix common auth or out-of-credits errors.

Step-by-step guide to install AGNURA AI Assistant from the Chrome Web Store, pin it, confirm permissions, and verify the first popup open.

Compare AGNURA on classic LinkedIn Messaging vs Sales Navigator inbox: separate scripts, profile depth, thread sources, rewrite/voice parity, and when to use each surface.

Use AGNURA Write Reply in LinkedIn Sales Navigator inbox: load header and InMail thread, steer with What I want to say, review, insert into the textarea, and send yourself.

Release-backed notes for AGNURA AI Assistant. Current source version, what shipped recently, and how to check the build on your machine.

Official matrix of AGNURA actions by surface: popup research, SEO, Gmail, LinkedIn, WhatsApp Web, Reddit, Apollo, and what context each AI action sends.

Plain-language guide to each Chrome permission AGNURA uses, why site access is broad, and what the extension does not do with those rights.

What AGNURA stores on your device, what syncs to your account, what leaves when you use managed AI or Add Lead, and what the extension does not do.

AGNURA is a Chrome extension for website research, on-page SEO checks, prospect prep, and writing in Gmail, LinkedIn, WhatsApp Web, and Reddit.