Research compressed to minutes
The manual digging through search results and competitor pages that used to precede every single piece of writing is compressed into a generated starting outline.
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The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenA business owner or their writer gets a ready-to-use outline — suggested headings, questions to answer, and target length — for a piece of content, cutting the research time before writing starts.
Works with
What it does
Khoji takes a target keyword and produces a structured brief: the questions real searchers ask about that topic, the headings competitor pages use, and a recommended word-count range. This gives a non-SEO writer a starting structure instead of a blank page.
An online course provider wants a page targeting a specific certification search, and the person assigned to write it spends the first two hours not writing at all — searching Google, reading five competitor pages, and trying to piece together what questions a prospective student actually asks before enrolling. That research always has to happen before a word gets written; it just doesn't need to happen from scratch every single time.
AI content brief generator takes a target keyword and produces a structured outline: the real questions searchers ask about that topic, the headings competitor pages tend to use, and a recommended word-count range. A non-SEO writer gets a starting structure instead of a blank page and two hours of manual digging, though the brief is a starting point for their own writing, not a substitute for it.
Khoji runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Enter the specific search phrase the page needs to address — a certification name, a course topic — so the brief is built around exactly what that audience is searching for, rather than the subject in general.
The system fetches current search results and any "people also ask" data for that keyword, gathering the real questions searchers pose and the competing pages already addressing that same broad topic in decent detail today.
An LLM summarises the gathered questions, headings, and page structures into a proposed outline — suggested sections, the questions each should answer, a recommended length — rather than leaving the writer to synthesise raw research alone.
A writer can adjust the outline directly or regenerate it with different emphasis, treating it as a working starting draft of structure rather than a fixed document handed down from above, unquestioned, ever, by anyone.
Why it matters
The manual digging through search results and competitor pages that used to precede every single piece of writing is compressed into a generated starting outline.
The questions in the brief come from what people actually search alongside the topic, rather than a writer's best guess at what a prospective student might wonder.
Someone with no SEO background gets a concrete outline to write against, rather than needing to independently understand what search-friendly structure even looks like beforehand.
The detail
This capability sits directly on the line Google's own spam policy is built to police, and it needs to be used with that in mind rather than around it. A brief is a research aid meant to speed up a human writer's own work — it gathers real questions and structural patterns so a person spends less time on research and more time on writing and judgment. Used that way, it shortens a legitimate process without changing what the process is for.
Used differently, it becomes something else. Google's March 2024 update made scaled content abuse an explicit spam policy, defining the violation by intent and outcome, not by who or what typed the words: content produced primarily to rank, at volume, without a genuine human editorial process, is a violation whether a human, an AI, or a mix of both produced the final text. A brief-to-draft pipeline publishing many thin, unedited pages describes exactly the pattern that policy targets, and a site caught in it risks losing far more visibility than the pages were going to gain.
The practical line is editorial judgment, not tooling. A brief that a writer reads, adjusts, fills with the business's own expertise, and edits before publishing is a legitimate use of research automation. A brief fed straight into an automatic draft and published with minimal review, repeated across dozens of pages, is the liability this capability exists to help a business avoid, not create. The outline speeds up the thinking stage; a person still has to do the writing and mean it.
Industry use cases
8 industries where Khoji applies this directly.
A software reseller wants to be found for a specific procurement-related search phrase used by IT managers; Khoji surfaces that phrase through keyword expansion, shows a competitor already ranking for it, and generates a content brief so the team can build a page to compete.
See the b2b sales playbookA cosmetics brand wants their "best face serum for oily skin" page to rank; Khoji's content editor compares the draft against top-ranking pages and flags missing subtopics competitors cover, while the schema tool adds product markup so the listing can show a star rating.
See the beauty and cosmetics playbookAn online course provider wants more visibility for a specific certification-related search; Khoji's keyword tool surfaces related question-based searches, and the content brief generator outlines an FAQ-style page structure to answer them.
See the education playbookA nutrition clinic wants their new blog post on a diet topic to rank; Khoji's content editor flags that top-ranking competitor pages all cite credentialed sources, prompting the clinic to add author credentials and references before publishing.
See the health and wellness playbookA furniture store wants to catch searches like "small space sofa ideas" ahead of a festive season; Khoji's keyword finder surfaces the seasonal spike pattern, and the internal linking tool suggests connecting that new page to existing product category pages.
See the home decor and furnishing playbookAn agency managing five client websites wants a monthly update for each without manual compilation; Khoji's report generator pulls each client's rank changes, backlink gains, and resolved audit issues into a scheduled report sent automatically.
See the marketing agencies playbookA real estate agency wants to be found for "3 BHK flats in [neighborhood]" searches; Khoji tracks that local-pack and organic position, and the NAP consistency checker finds an old office address still listed on a property portal that needs correcting.
See the real estate playbookA tour operator wants to catch demand for a specific monsoon-season trekking destination before the season starts; Khoji's keyword tool identifies the seasonal search pattern early, and the content brief generator outlines a destination guide page to target it in time.
See the travel and tourism playbookMore from Khoji
The business gets a prioritized list of search terms its real customers use, so content and page-optimization effort goes toward searches that can realistically bring in traffic.
Learn moreThe business sees exactly which topics or pages let a specific competitor outrank them, turning a vague "we should do more SEO" into a concrete list of pages to build.
Learn moreThe business owner can see, at a glance, whether their site is moving up or down for the search terms that matter to them, without manually searching Google every day.
Learn moreThe business gets visibility into which other websites link to them (and to competitors), which is one of the strongest signals search engines use to judge trustworthiness.
Learn moreThe business gets a plain-language checklist of technical problems (broken links, slow pages, missing tags, duplicate content) that are actively holding the site back in search, ranked by how much impact fixing each one has.
Learn moreThe business owner gets a readable summary of what Google itself says about their site's search performance, without needing to interpret Search Console's raw reports.
Learn moreQuestions
That depends entirely on whether a genuine human editorial process sits behind the final page, not on how the brief itself was generated. Google's scaled-content-abuse policy targets content produced primarily to rank, at volume, without real editorial substance behind it — a single well-edited page built from a brief is a different thing entirely from dozens of thin pages published with minimal review.
They're pulled from current search-result data, including "people also ask" style question data associated with the target keyword, reflecting what people genuinely search alongside that topic. It's a snapshot of search behaviour at the time the brief was generated, not a permanent or exhaustive list, so it's worth treating as a strong starting point rather than the complete universe of things a reader might want answered.
Technically, yes, but doing so at any real volume without a human writer genuinely engaging with and editing each page is exactly the pattern Google's scaled-content-abuse policy targets. The brief is built to speed up a human's research and structuring work — it isn't built or intended to remove the human from the process entirely, and using it that way puts a site's visibility at real risk.
It's an estimate based on the length of the pages currently ranking for that keyword, offered as a rough sense of how thoroughly the topic tends to be covered by pages that are doing reasonably well. Matching that length says nothing about quality or usefulness on its own — a page can hit the recommended count and still be thin, or fall short of it and still be genuinely excellent.
The rest of your stack
No rip-and-replace — generate a content brief from a keyword works alongside the systems already running your business.
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