A structure, not a page
The test-prep institute gets headings, an intro, and an FAQ section already built around its target keyword, instead of staring at an empty document for another week.
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The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business gets a blog post or landing page draft built around a target keyword, ready to publish with minimal editing.
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What it does
The user enters a target keyword and a few notes, and Lekha produces a structured long-form draft with headings, an intro, a meta description, and FAQ section aimed at that keyword. The draft includes suggested internal-link anchor text if the user supplies existing page URLs.
A test-prep institute wants to rank for "best online coaching for class 10 boards" and knows it needs a proper blog post — headings, an intro, an FAQ section — but starting a two-thousand-word article from a blank page around one keyword is a different, slower job than writing a caption, and it's the one most likely to get put off for another week.
This produces a structured long-form draft built around a target keyword: headings, an intro, a meta description, and an FAQ section, using whatever notes the business supplies. If the institute provides its own existing page URLs, the draft suggests internal-link anchor text pointing to them, giving a publishable structure the team can fill in and fact-check rather than write from scratch.
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Provide the keyword the institute wants to rank for and a few supporting notes — what the institute actually offers, any details worth including — giving Lekha real material to build the article's substance around.
Lekha builds a heading structure aimed at the keyword's likely search intent before writing any section in full, so the shape of the article is agreed before the longer drafting work begins in earnest, keeping the piece on-topic throughout.
The intro, body sections, and FAQ are written one section at a time against the approved outline, which keeps a long article on-topic and lets length be controlled section by section rather than all at once.
A short, keyword-relevant meta description is produced alongside the article body, ready to drop into the page's metadata without needing a separate summarising pass afterwards, sized to the length search engines typically display without truncating it mid-sentence.
Why it matters
The test-prep institute gets headings, an intro, and an FAQ section already built around its target keyword, instead of staring at an empty document for another week.
Supplying existing page URLs gets suggested anchor text pointing to them, saving the separate step of figuring out where else on the site this new post should link.
Section-by-section drafting against an agreed outline keeps a long article on-topic, rather than sprawling or repeating itself the way a single giant unstructured draft sometimes can.
The detail
Long-form SEO content has a well-known failure mode worth taking seriously before publishing anything from this tool: hallucinated statistics and vague "studies show" claims. A model asked to write authoritatively about a topic — pass rates, industry benchmarks, comparative claims about coaching methods — will sometimes produce a confident, specific-sounding number with no real source behind it, because sounding authoritative and being accurate are different things it doesn't reliably distinguish. Every statistic and outcome claim in a generated article needs checking and either sourcing or removing before it goes live — a known pattern with long-form generation, not an occasional edge case.
For a test-prep institute, any claim about pass rates or student outcomes sits in territory the business itself needs to verify, not invent through generation — a post that states a pass percentage the institute never confirmed is a factual claim made in its name that it didn't actually check. The safe posture is treating every outcome-adjacent sentence as a placeholder for the institute's own number, not a finished fact ready to publish as written.
Keyword optimisation can also tip into over-optimisation if left unchecked — a draft that repeats the target phrase too mechanically in pursuit of ranking reads worse to an actual visitor, since a page written for a search engine at a human reader's expense tends to underperform for both. A read-through focused on whether the article would genuinely help a parent researching coaching options, not just whether it hits the keyword enough times, is worth doing before publishing.
Industry use cases
10 industries where Lekha applies this directly.
A sales manager sets up a persona for "IT decision-maker at a mid-size manufacturer," and every rep on the team generates cold-email drafts from the same persona so outreach feels coordinated rather than ad hoc.
See the b2b sales playbookA regional NBFC drafts a loan-product social post, and Lekha flags the line mentioning an interest rate range as a regulated claim, holding the post in a pending-review queue until the compliance officer confirms the number matches the current approved rate sheet.
See the banking and finance playbookA skincare brand uploads its full product line as a spreadsheet with ingredients and benefits per item, and Lekha generates a description and a caption for each product in one bulk run instead of one at a time.
See the beauty and cosmetics playbookA test-prep institute asks Lekha for a blog post targeting the keyword "best online coaching for class 10 boards," and Lekha returns a structured draft with headings and an FAQ section, with any specific outcome claim about pass rates flagged for the institute to verify before publishing.
See the education playbookA freelance interior consultant uses Lekha to turn one client project photo caption into a LinkedIn post, an Instagram caption, and a one-line portfolio blurb, all in the same evening.
See the freelancers and consultants playbookA physiotherapy clinic drafts a social post about a new treatment offering, and Lekha flags the phrase implying guaranteed pain relief as a health claim needing review, holding it until the treating physiotherapist approves the wording.
See the health and wellness playbookA furniture retailer uploads a new collection's specs and Lekha drafts descriptions for the e-commerce listing plus a matching Instagram caption set, keeping material and dimension details exactly as supplied.
See the home decor and furnishing playbookAn agency managing five retail clients keeps five separate brand-voice profiles in Lekha, so the same campaign-brief-to-assets workflow produces distinctly different-sounding output for each client from the same underlying template.
See the marketing agencies playbookA broker pastes a property's square footage, bedroom count, and location, and Lekha drafts a listing description and a short email to interested buyers, both built strictly from the supplied facts.
See the real estate playbookA tour operator asks for a Kerala backwaters package description in both English and Hindi, and Lekha produces two natural-reading versions rather than a literal translation of one into the other.
See the travel and tourism playbookMore from Lekha
The business gets copy that consistently sounds like them, in every language, without re-explaining tone in every prompt.
Learn moreThe business drafts a usable first version of an ad, caption, email, or product description in seconds instead of starting from a blank page.
Learn moreThe business can dial a single draft from formal to playful (or vice versa) without rewriting it from scratch.
Learn moreThe business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
Learn moreThe business turns one piece of English copy into ready-to-use versions in other languages without hiring a translator for routine content.
Learn moreThe business knows before publishing whether a page is likely to rank, and gets specific fixes instead of a vague score.
Learn moreQuestions
This is a known risk with long-form generation specifically — a model can produce a confident-sounding statistic or a "research shows" claim with no real source behind it, because sounding authoritative isn't the same as being accurate. Every specific number, cited claim, or outcome statistic in a generated article needs to be checked and sourced or removed before publishing, treated as a default step rather than an occasional precaution.
It can draft a sentence in that shape, but the specific number has to come from the institute's own verified data, not be invented by the generation process. Any outcome-related claim in a draft should be treated as a placeholder for the institute's own confirmed figure and checked before publishing, not accepted as a finished, ready-to-use fact simply because it reads plausibly.
If the business supplies its own existing page URLs, Lekha suggests relevant anchor text within the new article pointing to those pages, based on topical relevance to what's being written. It's a suggestion, not an automatic insertion — the links still need reviewing to confirm they genuinely make sense in context before the post goes live anywhere on the institute's actual website.
No — this tool structures and drafts an article aimed at a chosen keyword's likely search intent, but it doesn't predict ranking outcomes or account for how competitive that keyword currently is. The related SEO optimisation checker is the tool built for scoring a page's on-page ranking signals; this one is focused on producing the draft itself, not forecasting where it will land in results.
The rest of your stack
No rip-and-replace — write seo-ready articles works alongside the systems already running your business.
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