Content, SEO & AEO Plan — Blog

For marketing to review and act on. Last updated: 2026-06-24. Owner: Salil. Pairs with gtm-plan.md and market-analysis.md.

1. Why a blog, and why now

Marketing flagged that we have no blog and no organic surface for SEO/AEO. Our ICP (small lenders, NBFCs, DSAs, CA firms — see market-analysis.md) searches in three modes:

• “What is / how do I” — top funnel, highest volume, the content AI answer engines cite.
• “How to calculate / check / spot” — mid funnel: calculators, checklists, red-flag lists.
• “Best / vs / cost” — bottom funnel: comparison and ROI pieces that convert.

The 10 launch posts cover all three. Structure is pillar + cluster: one broad pillar page that every other post links up to. Topical clustering is what moves rankings.

AEO note (Answer Engine Optimization). To get pulled into ChatGPT / Perplexity / Google AI Overviews, every post must: (1) answer the question in the first 2-3 sentences of each section, (2) use tables and numbered lists, (3) carry clear authorship, dates, and structured data, and (4) state facts plainly with India-specific terms (RBI, NACH, FOIR, Account Aggregator, CIBIL). FAQ blocks with FAQPage schema are the single biggest AEO lever.

2. The 10 launch posts

1. What Is Bank Statement Analysis? A Lender’s Complete Guide (PILLAR)

• Hook: “Before any loan is approved, someone has to read the borrower’s bank statement line by line. Here’s exactly what they’re looking for — and what it costs to miss something.”
• Funnel: Top. Highest volume; the hub everything links to.
• Primary keyword: bank statement analysis
• Secondary / AEO: what is bank statement analysis, bank statement analysis for loan, BSA in lending, how do lenders analyse bank statements
• Outline: Definition (1-paragraph answer up top) → the 7 things every analyst checks (income, obligations, FOIR, bounces, counterparties, tampering, balance reconciliation) → manual vs automated → who does it (NBFC/DSA/CA) → glossary. Internal-links to all 9 other posts.

2. How to Calculate FOIR: Formula, Examples, and What Counts as a Good Ratio

• Hook: “FOIR decides whether your borrower can actually afford the EMI. Get the formula wrong and you either reject good customers or approve defaults.”
• Funnel: Mid. High-intent calculator search; ranks fast, strong AEO.
• Primary keyword: FOIR calculation / how to calculate FOIR
• Secondary / AEO: FOIR formula, FOIR full form, what is a good FOIR for loan, FOIR vs DTI, fixed obligation to income ratio
• Outline: FOIR full form + formula in a box → worked example with numbers → ideal ranges by loan type → FOIR vs DTI → how statements feed FOIR → mistakes (missing informal EMIs). Add inline calculator later for links/dwell time.

3. How to Spot a Tampered or Fake Bank Statement: 12 Red Flags

• Hook: “A PDF takes thirty seconds to edit. A ₹10 lakh loan against a doctored statement takes years to recover. Here’s how to catch fakes before they cost you.”
• Funnel: Top/mid. Fear-driven, highly shareable; links to our tamper-check feature.
• Primary keyword: fake bank statement / how to detect tampered bank statement
• Secondary / AEO: how to identify fake bank statement, bank statement fraud detection, tampered PDF statement, verify bank statement authenticity
• Outline: Numbered 12 red flags (font mismatches, broken running balance, metadata edits, round-number salaries, missing bounce entries…) → manual checks vs automated tamper detection → what reconciliation catches that the eye can’t.

4. NACH, ECS, and Cheque Bounces: What They Really Tell You About a Borrower

• Hook: “One bounce is noise. Three in six months is a pattern. Here’s how to read bounce behaviour like an underwriter.”
• Funnel: Mid. Definitional + risk interpretation; strong AEO.
• Primary keyword: NACH bounce / ECS bounce meaning
• Secondary / AEO: what is NACH return, cheque bounce vs NACH bounce, inward vs outward bounce, bounce charges meaning in statement
• Outline: Definitions table (NACH/ECS/cheque) → inward vs outward bounces and why it matters → how many bounces is too many → how bounces appear in a statement → red flags vs benign.

5. How to Assess Income for Self-Employed Borrowers from Bank Statements

• Hook: “No salary slip, no Form 16, lumpy cash flows. For self-employed borrowers, the bank statement is the income proof — if you know how to read it.”
• Funnel: Mid. Real pain point for DSAs/NBFCs lending to the self-employed.
• Primary keyword: self-employed income assessment / income proof for self-employed loan
• Secondary / AEO: how to verify self-employed income, average banking method, business turnover from bank statement, seasonal income loan assessment
• Outline: Why salaried methods fail → average banking / surrogate methods → separating business vs personal flows → netting self-transfers → seasonality → turnover sanity-checks. Showcases consolidation + self-transfer-netting.

6. Account Aggregator vs PDF Bank Statements: Which Should Lenders Use in 2026?

• Hook: “AA promised the end of PDF uploads. Three years in, most lenders still process both. Here’s when each one actually wins.”
• Funnel: Top/mid. Topical, comparison, India-regulatory — earns links and AEO citations.
• Primary keyword: account aggregator vs bank statement
• Secondary / AEO: account aggregator for lending, AA framework India, pull bank statement data, account aggregator limitations
• Outline: What AA is (RBI framework) → coverage gaps (not all banks, consent friction, thin files) → why PDF/CSV still matters → how analysis differs by source → recommendation matrix. Positions Obsrv as source-agnostic.

7. Manual Bank Statement Analysis in Excel vs Automated: A Real Cost Breakdown

• Hook: “Your analyst spends 40 minutes per statement after hours. At your loan volume, that’s not a workflow — it’s a hidden salary line. Let’s do the math.”
• Funnel: Bottom. ROI, directly product-adjacent.
• Primary keyword: automated bank statement analysis
• Secondary / AEO: bank statement analysis software, manual underwriting cost, excel bank statement template lending, BSA automation
• Outline: The Excel workflow today → time + error costs (table) → what automation changes → cost-per-statement comparison (anchors ₹5/page) → when manual still makes sense.

8. Why Loan Applications Get Rejected at the Bank Statement Stage (and How DSAs Can Pre-Check)

• Hook: “You sourced the lead, did the paperwork, and the lender rejected it over a bounce you never saw. Pre-check the statement and stop burning good leads.”
• Funnel: Top/mid. Speaks directly to DSAs — a core segment.
• Primary keyword: loan rejection reasons bank statement
• Secondary / AEO: why loan application rejected, DSA loan rejection, bank statement issues loan, pre-check loan eligibility
• Outline: Top rejection triggers (low FOIR, bounces, low ADB, tampering suspicion, unexplained credits) → how lenders see them → a DSA pre-check checklist → self-serve angle (no enterprise contract needed).

9. The Credit Underwriting Checklist: Everything to Verify in a Bank Statement

• Hook: “Print this. Tape it next to your monitor. Nine sections, and not one approved loan should skip a line.”
• Funnel: Evergreen. Downloadable link-magnet; great AEO listicle.
• Primary keyword: bank statement checklist for loan
• Secondary / AEO: credit underwriting checklist, loan underwriting process, what to check in bank statement before loan, KYC bank statement verification
• Outline: Sectioned checklist (identity/period coverage, income, obligations, FOIR, bounces, balance trend, counterparties, tampering, red flags) → each line with why it matters → downloadable PDF/CSV gated by email (lead capture).

10. Best Bank Statement Analysis Software in India (2026): An Honest Comparison

• Hook: “We compared the tools lenders actually use — on accuracy, transparency, pricing, and how much they trust you to make the call.”
• Funnel: Bottom + heavy AEO value (answer engines love listicles to cite).
• Primary keyword: best bank statement analysis software india
• Secondary / AEO: bank statement analyser tools, Precisa alternative, BSA software comparison, bank statement analysis API
• Outline: Evaluation criteria → comparison table (including Precisa and others, honestly) → where each fits → where Obsrv fits (transparency / “the math behind every number” / decision stays yours / ₹5 no-contract). Keep it genuinely fair — fairness is what makes it citable and trustworthy.

Bonus / later: Detecting Circular Transactions & Inflated Turnover (advanced fraud, differentiator), FOIR calculator tool page, Glossary of lending terms (huge AEO surface).

3. Publishing roadmap

Cadence of ~1/week for 10 weeks builds momentum without thinning quality.

4. Implementation & AEO/SEO mechanics

Current state (web is Next.js 15 App Router): solid base SEO (OG cards, FAQPage JSON-LD) but a static sitemap (hardcoded to /, /terms, /privacy) and no /blog.

To rank and get cited, on our stack:

• Routes: app/(site)/blog/page.tsx (index) + app/(site)/blog/[slug]/page.tsx — inherits the existing SiteNav/SiteFooter.
• Content: MDX in web/content/blog/*.mdx with frontmatter (title, description, date, author, keywords, ogImage). Lightweight, no CMS.
• Per-post generateMetadata for unique title/description/canonical/OG — non-negotiable.
• BlogPosting + BreadcrumbList JSON-LD per post (extend lib/structured-data.ts), plus reuse the FAQPage pattern for each post’s FAQ block — biggest AEO lever.
• Dynamic sitemap.ts that reads all slugs.
• /blog link in nav + footer, “related posts” and “back to blog” via existing SectionHead.
• Author byline + reading time (E-E-A-T signals).

5. Voice & terminology

Follow the terminology rules in gtm-plan.md §2. No em dashes in any customer-facing copy (plainer punctuation). Keep the precise, ledger-like, “show the math” tone. The lending decision always stays with the lender — we’re the engine, not the decision.