Webflow SEO agency
Your buyers ask ChatGPT for a recommendation in your category, and it names someone else. Connect Foliora to your Webflow site and it works the whole thing — page SEO fields, CMS collection items, the structured data an assistant needs to quote you, canonicals and internal routes — then writes what is missing. Your Designer layout is never touched. From $199 per month.
Publishes through
Cited across
How it works
No audit deck, no strategy phase, no six-week onboarding. The first check costs an email address, and everything after it ends in a change that is live on your site.
Enter your domain — no install, no card. Foliora reads your public pages, checks your category in Google, and asks ChatGPT, Gemini, Claude, and Grok for a recommendation in it. You get a score out of 100 and the names of the sites getting recommended instead of you.
Not just new pages. Foliora rewrites placeholder page titles and meta descriptions across your CMS templates and items, fills the reference fields that were left empty, straightens canonicals and internal routes, repairs the structured data an assistant needs to quote you, and writes the comparison and buying-guide pages that do not exist yet.
You see every change before it happens, then Foliora writes it through Webflow's official Data API — CMS items, page SEO fields, redirects. Never the Designer canvas. It re-reads the live page and puts the same questions back to the same assistants, so you see which change moved the score.
Two surfaces, one loop
Foliora scores a site out of 100 across four pillars, and the two heaviest are one per surface. A Webflow SEO agency that only works the Google half is leaving thirty points on the table.
Whether your category and buyer phrases return a page of yours at all, and how high. This is the classic work: collection architecture, canonicals, internal routes, and template pages that deserve the position.
Whether ChatGPT, Gemini, Claude, Grok, and Google AI Overviews name your site when someone asks what to use in your category — and which sites get named in your place when they do not.
Whether one page clearly owns what you do, in enough depth and with the right schema for both a crawler and an assistant to understand it without guessing.
Whether the pages someone needs before deciding actually exist: category, how to choose, comparison, and FAQ. Missing pages are the most common reason an assistant cites someone else.
The connected work
Webflow hands you a clean technical foundation and a field for every tag. What moves the number is deciding what belongs in those fields, which collections and pages should exist at all, and whether the answer changed after you published.
Tie buyer demand to real CMS items, reference fields, static pages, and published routes before proposing a change.
Rewrite placeholder titles and descriptions across templates and items, then clarify collection hierarchy, canonicals, redirects, and internal routes.
Ask a fixed set of buyer questions across ChatGPT, Gemini, Claude, Grok, and AI Overviews, and record whether your site is cited, mentioned, or ignored — plus the hosts named instead.
Fill collection fields so an assistant can lift a clean, attributable answer: the question stated plainly, specifications, provenance, and no claim the site cannot support.
Keep product, article, breadcrumb, and FAQ structured data valid and canonicals honest, so an assistant can parse what you offer instead of inferring it.
Check the rendered page after the API write succeeds, then re-run the Google check and the AI panel so the score moves on evidence rather than assumption.
What you get
Every engagement starts from the same snapshot and produces the same artifacts, so you can tell what was done and when.
What it costs
Webflow SEO agencies on this search result quote a retainer after a discovery call. Ours is on the page, and the first snapshot costs an email address — no card, no charge.
The full loop on one domain: research, approve, publish, verify. Add capacity when you need it.
The boundary matters
Hosting, DNS, custom code, and Designer-level layout edits stay outside the automatic execution boundary. CMS items, static page SEO fields, and collection structure stay in the typed allowlist, and claim-heavy changes remain explicitly approval-gated.
Questions buyers ask
Webflow gives you a clean technical starting point — fast hosting, editable page titles and descriptions, automatic sitemaps, clean markup — and that removes a category of problems WordPress sites spend years fixing. What it does not give you is judgment. Nothing in Webflow decides which CMS collections should exist, writes the comparison page a buyer reads before deciding, or tells you that ChatGPT names a competitor when someone asks about your category.
Webflow's tools operate inside your site: they help you write and apply metadata to pages you already have. Foliora operates outside it first. It checks what Google actually returns for your category, asks ChatGPT, Gemini, Claude, and Grok what they recommend, and finds the questions where someone else gets named. That external read is what produces the backlog. Webflow can help you fill in a meta description; it cannot tell you which page you are missing.
The useful ones change your site. That means mapping buyer demand to CMS collections you can actually populate, fixing collection architecture, canonicals and internal links, writing pages that answer purchase questions with real first-party knowledge, and then confirming the change rendered correctly on the live site. Reporting on rankings is the by-product, not the service.
Agencies on this search result generally start around $1,500 to $5,000 per month and quote only after a discovery call. Foliora starts at $199 per month for one site, covering 25 tracked buyer questions, 3 approved changes shipped per month, 250 managed pages, weekly site checks, and monthly sampling across ChatGPT, Gemini, Claude, Grok, and Google AI Overviews. Larger sites move to $499 or $999, and the first snapshot costs an email address.
Both, and that is the point. Foliora connects to your site as a Webflow app through the official Data API and makes the changes itself — CMS collection items, page SEO fields, collection structure, redirects, new pages — so there is no deck to act on and no developer ticket to file. What an agency normally supplies, the research and the judgment about which change is worth making, is what the software runs. You stay the approver: nothing is written until you have read the specific change.
No, and that boundary is deliberate rather than a limitation we are working around. Your Designer canvas, hosting, DNS, and custom code stay outside the automatic execution boundary entirely. Foliora writes to CMS items, page-level SEO fields, collection structure, and redirects — the places where search and citation outcomes are actually decided — so a change can never rearrange a page your team designed.
Most of the early work is on what already exists. Webflow sites are usually well built and thinly described: collection items shipped with placeholder meta descriptions, template pages sharing near-identical titles, reference fields left empty, canonicals and redirects untouched since launch. Foliora rewrites those fields, repairs the structured data an assistant needs to quote the page, and straightens internal routes. New pages come after that, for the buying questions your collections cannot answer yet.
Answer engine optimization is the work of getting an assistant to name your site when someone asks it what to use in your category, rather than naming a competitor or a listicle. In practice it is less exotic than it sounds: state the buying question plainly on a page, answer it with first-party knowledge, mark it up so the passage is attributable, and make sure the page exists at all. The measurement is what differs — instead of a ranking position, you check whether the assistant cited you.
They cite whoever answers the question clearly, and in most Webflow categories that is currently a roundup post, a directory, or a competitor's guide rather than the site itself. Foliora samples a fixed panel of buyer questions across ChatGPT, Gemini, Claude, Grok, and Google AI Overviews, records which sites get named in your place, and treats those gaps as the page backlog. Nobody can promise a citation; what you get is the list of questions where you are losing one, and a page written to compete for it.
The snapshot runs in minutes. After that the loop is continuous rather than a project: Foliora proposes changes, you approve them, they publish to your site, and the next check measures the live page. Search engines and AI assistants recrawl on their own schedule, so movement shows up over weeks, and each approved change is dated so you can see what shipped when.
Start with the public surface
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