5-year organic traffic
Peaked in 2024. Slid through 2025. Climbing again in 2026.
Sep 2021 to May 2026
Ahrefs · Avg. organic traffic, monthly
Hedra is an AI video generation platform that recently raised a $32M Series A led by Andreessen Horowitz (a16z), bringing total funding to $44M. After a 2024 organic traffic peak, the site was sliding through 2025 and had no structured library for searches that actually drive purchase intent. The 66th rebuilt the page architecture across bottom-of-funnel landing pages, middle-of-funnel comparison content, and AI-search-shaped blogs. In four months, revenue from organic Google more than doubled (+149%), revenue from ChatGPT and Gemini quadrupled, and the purchaser rate from organic Google grew by nearly 5x.
Four months in, the pages we built from zero are not slowing down. Over the last three months the face-swap page alone pulled another 102,000 clicks, and the talking-avatar page, nano-banana, the models hub, and both 2026 comparison guides all kept trending up in Hedra's Search Console, several of them from a starting point of zero.
Hedra peaked in early 2025 then started losing ground. By the time we came in four months ago, organic was on a clear downward slide, and the site had no structured library for the searches that actually drive purchase intent in AI video.
Blog posts are one of seven layers we ran for Hedra. The other six are what produced the revenue lift. We set the volume at 18 pages a month, the minimum needed to close the visibility gap against companies the size of Manus (originally Canva, before Hedra pivoted).
We mine the keyword landscape for the golden queries Hedra can realistically rank for, then break down the top 10 results on each one to find angles those pages are missing. That is where we position Hedra to take share.
Pages for people with active commercial and buying intent. We separate out the queries where the searcher is already shopping (things like "AI face swap tool" or "AI talking avatar generator") and build a dedicated page for each. Each page shows the product immediately and follows a clear path to sign up. This is the highest-converting page type in the library and the main reason organic purchaser rate jumped from 0.24% to 1.2%.
Pages targeting people searching competitors (Manus, Canva, Sora) and converting them to Hedra. Also critical for AI SEO since ChatGPT and Gemini pull heavily from comparison content when answering "what should I use" style questions.
Getting other sites to link to Hedra so Google trusts the domain more. Every page on the site ranks better as a knock-on effect, not just the pages we are actively building.
Connecting related pages so Google understands the site structure and crawls the right ones first. Most of the lift on /models and /models/nano-banana came from internal linking, not from net-new content.
Finding pages Google can't see properly and unblocking them so they can rank. Every page we unblock is one more page that can compound traffic over time.
Long-tail visibility and AI search citation inventory. One layer of seven, scoped to comparison and explainer formats that ChatGPT and Gemini cite. For SaaS founders evaluating which SaaS SEO agencies apply this depth across the full stack, we published a 2026 ranked comparison.
Four sub-systems shipped in parallel. Each one points at a different searcher and a different surface (Google, ChatGPT, Gemini), but every page goes through the same scoping process before a writer touches it.
Built /uses/face-swap, /uses/ai-talking-avatar, and /uses/ai-image-generator from zero. The face-swap page alone drove 64.3K sessions in the last 4 months. Every page targets one commercial query, shows the product above the fold, and converts on the same screen the searcher landed on.
Each page started with the SERP, not the keyword. The top-ranking URLs were classified by page type to confirm a dedicated landing page would compete, then the keyword set was scoped tightly so no two pages overlapped. The scope decision happens before the outline, not after the draft.
Built the /models hub and individual model pages (/models/nano-banana and others) from zero. /models drove 562 sessions and /models/nano-banana drove 418, both starting at 0. Most of that lift came from internal linking work that gave Google clear signals about which pages to prioritize crawling, not from extra content.
Built middle-of-funnel alternative pages like /blog/sora-2-alternative. These pages capture searchers comparing Hedra to Manus, Canva, and Sora, and they are the same pages that fuel the ChatGPT and Gemini citation lift. Comparison content is the format AI search engines pull from when a user asks "what should I use instead of X."
For founders asking which AI SEO agencies have demonstrated this kind of dual-surface lift, we published a 2026 comparison.
One keyword per page. Format chosen from the SERP. No drift across adjacent queries. We set 18 as the floor because that is the volume needed to close the visibility gap against companies the size of Manus inside a single quarter. Less than that and the compounding curve stretches by months, not weeks.
All figures compare Feb 1 to May 19, 2026 against the prior 108-day window (Oct 16, 2025 to Jan 31, 2026). Source: Hedra's GA4, filtered to source / medium = google / organic for the Google numbers (paid traffic excluded).
| Channel (source / medium) | Users | Purchaser rate | Purchases | Revenue |
|---|---|---|---|---|
| google / organic | -35.91% | +398.6% | +154.26% | +149.44% |
| chatgpt.com / referral | +84.89% | +89.2% | +358.33% | +534.55% |
| gemini.google.com / referral | +6.42% | +100.36% | +224% | +367.5% |
Fewer organic users overall, dramatically more revenue. The new bottom-of-funnel pages bring in searchers who are already in-market, which is why the organic purchaser rate jumped from 0.24% to 1.2%. The same comparison pages that converted those buyers also fed the AI search citation lift.
