An AI native market research firm: from 0 to 6,224 users in 4 months

The client creates AI research reports for industries across the globe. The website was ready, but after launch it was not SEO optimised, hardly any keywords ranked, it had no backlinks, its domain and page authority were very low, the user journey was not structured, and it had no visibility in answer engines or AI search.

Two things made it harder. The brand name was closely associated with an unrelated, notorious subject, so the brand page did not rank even for brand searches. And the keywords it needed were contested by established names such as Gartner, Forrester and Statista.

We planned the site structure and the search programme together:

• Architecture first. A flow of key pages, sector pages, combined sector pages, blog pages and reports, built for a site meant to publish over 1,000 pages a month across sectors and geographies.
• Upstream and downstream paths. A reader on an energy market report for MEANA can move up to other MEANA sector reports, or down to the EV market 2026 report for MEANA.
• Evergreen pages designed to rank all year for a defined set of keywords.
• Link building through article submission, Web 2.0, PR, guest posts and listings.
• Keyword clusters around market research services, so one topic ranks for many related queries.
• AEO, GEO and LLM optimisation: FAQ structures, schema markup, clear answers, entity-focused topics and semantic headings, so AI summaries and AI-generated answers can understand and cite the brand.
• Tracking of every click, building audiences for remarketing campaigns later.

What changed in four months

The site went from no search presence to a brand that search engines and AI answers recognise. Within four months it ranked for 100+ keywords globally, held page one rankings for 23+ keywords, and appeared in Google AI Overviews for 50+ keywords across India, the UAE and the USA. More than 2,000 backlinks were built, page authority rose from 9 to 18 and domain authority from 5 to 7.

Visitors also stayed longer. Bounce rate fell from 69.72% in month 1 to 42.6% in month 4, and average session duration reached 4 minutes 9 seconds.

The brand name, which had not ranked even for brand searches at the start, now ranks on page one globally.

What you can learn from this

Plan the architecture before you publish at scale. A site adding hundreds of pages a month needs a structure where every report links up to its sector and region and down to narrower reports. Without it, new pages compete with each other instead of supporting each other.

Win specific searches before broad ones. The page one results came on specific phrases such as "AI native market research agency" in India. Broad US terms such as "market research firm", where the established names compete, were still on pages three and four when this report was prepared. Specific phrases are where a new brand can earn traffic first.

Structure content for AI answers early. FAQ blocks, schema and short, direct answers were part of the same programme, and AI Overview visibility for 50+ keywords came within the same four months as the rankings. Our AI SEO service covers this work, and our SEO service covers the technical, content and link building side.

Track behaviour, not only rankings. Every click was tracked to build audience groups, so interested readers can be reached again later with remarketing through performance marketing.