Evidence-backed research
Connect real search demand, your current positions, the sources being cited instead of you, and the expertise your business can actually support.
Sampled: ChatGPT · Gemini · monthlyReceipts kept · unsampled ≠ absentYou approve every change — verified live
AI SEO agency
An AI SEO agency that drafts the change, not the deck.
Most AI SEO services end at a report. Foliora finds the buying questions where ChatGPT and Gemini recommend someone else, drafts the change on the existing page that should own it, and — after you approve — can publish through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read, then re-ask. From $49.99 per month.
built for
cited across
$49.99/moapproved, not quotedChatGPT + Gemininative searchShopify pagesexisting mapped writes
3 moves
Get a number for both surfaces before you hire anyone to fix either.
Most AI SEO agencies start with a call and a proposal. This starts with a score you can see in minutes, so you know whether the problem is your Google foundation, your AI coverage, or both before a retainer is on the table.
- 01Score both halves in one pass
One field, no install, no card: your domain. Foliora reads your public pages, checks your category in Google, and asks ChatGPT and Gemini what they recommend in it. You get a score out of 100 and the names of the sites getting recommended instead of you.
- 02Review the ranked draft
Foliora drafts the change from the public catalog onto an existing page. Publishing goes through Shopify, WordPress, Webflow, or a GitHub pull request after approval and a remote re-read. If you skip a publisher, you still get the exact approved diff.
- 03You approve, then Foliora re-asks
Approval is what counts against the monthly change limit. Foliora can then publish the approved change through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read, re-read the live page, and put the same questions back to the same assistants.
two surfaces
Two surfaces, one score, thirty points apiece.
Four pillars make up the number, out of 100. The heaviest two are worth thirty points each, one for Google and one for AI, which is why the label on the agency matters less than which half of the number it actually moves.
- 30 ptsFound in Google
A page of yours either shows up for your category and buyer phrases, or it doesn't — and rank matters as much as presence. Foliora audits architecture, canonicals, and internal routes on that surface, then publishes the approved fixes.
- 30 ptsCited by AI
This pillar tracks a single fact: do ChatGPT or Gemini name you when someone asks what to use in your category, and if not, which site gets named instead.
- 20 ptsOffer page strength
This pillar checks for a single clear owner of your offer: one page, deep enough that both a crawler and an assistant can understand what you sell without guessing. Approved schema changes can then publish.
- 20 ptsBuyer coverage
Whether the pages someone needs before deciding actually exist: category, how to choose, comparison, and FAQ. New pages stay behind your approval.
connected work
Evaluate the work, not the AI label.
Every vendor in this category now says AI. The question worth asking is what arrives at the end of the month: a number that moved, or an approved change on a page you already own.
Pages worth citing
Draft definitions, comparisons, specifications, and guidance specific enough that quoting you beats summarising someone else — on pages that already exist.
Exact proposed changes
Review the affected resource, the before-and-after diff, the rationale, the source, the risk class, and the approval version — before anything is approved.
Connected execution
On Shopify, WordPress, Webflow, or a GitHub pull request, the approved change can write after a remote re-read. The change lands on your domain, not in a monthly PDF.
Governed automation
Schema, canonicals, redirects, media, catalog resources, articles, and new pages stay behind explicit approval. Foliora routes approved work through the connected publisher, a GitHub pull request, your own workflow, or a customer-owned agent through MCP.
Transparent measurement
Raw citation observations are kept and reported beside the dated approved change, so you can inspect a result instead of trusting a score.
scope
The same artifacts regardless of which platform you run.
The snapshot and the research artifacts do not change shape by platform. Automatic publishing writes Shopify, WordPress, Webflow, or a GitHub pull request.
- A Findability Score out of 100, split across Google and AI, rerun on a schedule
- Your category phrases checked against Google, with the position band for each
- A fixed panel of buyer questions run against ChatGPT and Gemini
- The competing hosts cited instead of you, per question, with dates
- A ranked backlog of existing-page drafts, plus missing pages recorded as inventory
- Rewritten titles and descriptions proposed for the pages that are thinnest
- Structured data, canonicals, and robots drafted for approval
- Supported improvements with your approval, monthly on Essential or weekly on Pro
- Approved writes through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read
- Rendered verification after publish: response, headings, and the passage that changed
- A dated record of what was approved, so the work is auditable
essential · $49.99/mo
The number other agencies save for the sales call.
AI SEO agencies quote a retainer after a discovery call, usually somewhere between $2,000 and $10,000 a month. Ours is on the page, and the first snapshot costs an email address — no card, no charge.
Keep improving every month.
- Monthly research and improvement cycle
- Unlimited page coverage and technical SEO findings
- Keyword research and prioritized opportunities
- 25 buyer questions sampled on ChatGPT and Gemini
- Supported drafts, with no monthly generation allowance
- Your approval before every publication
- Publishing, live verification, and evidence receipts
- Manual delivery or your own agent through MCP
- Live support
boundary
From source improvement to measured visibility.
Foliora drafts evidence-backed changes, counts them when you approve, and publishes through Shopify, WordPress, Webflow, or a GitHub pull request after a remote re-read. If you skip a publisher, you still get the exact approved diff. Theme Liquid, theme PHP, Designer canvas, custom code, and customer or order data stay outside the write boundary.
questions
AI SEO agency services, answered.
It should end every month with approved work, not just a score. That means finding the questions buyers ask, checking what Google returns and what the assistants recommend, ranking which existing pages should change, drafting those changes, and recording missing pages as inventory. A lot of the category sells monitoring instead — a dashboard that tells you your visibility score dropped and leaves the fix to you.
Essential is $49.99 per site per month for monthly research and improvements. Pro is $149.99 per site per month for weekly checks and improvements. Both include supported drafts, customer approval, publishing, and live verification. Annual billing saves 20%.
Less than the branding suggests, and the difference is mostly measurement. Both need a crawlable site, clear architecture, and pages that answer real questions. Traditional SEO asks whether you rank for a phrase. AI SEO asks whether an assistant names you when someone describes their problem in a sentence. The same page can win both, but only one of them shows up in a rank tracker, which is why most teams do not know they are losing the other.
The label matters less than what happens after the audit. Software runs the research and the judgment about which change is worth making — the part an agency normally bills hourly for — and publishing happens after you approve the exact change, through Shopify, WordPress, Webflow, or a GitHub pull request. If you skip a publisher, you still get the exact approved diff. You stay the approver throughout.
Generic AI content will, because it adds nothing a search engine or an assistant cannot already generate. Foliora drafts from your own catalog, your documentation, your pricing, and your expertise, and every change goes to you for approval. The constraint is not whether a machine helped write it — it is whether the page contains something true and specific that did not exist on the internet before.
Most of the work is on pages that already exist. Foliora drafts rewrites for thin titles and missing answer passages, and it can write those drafts through Shopify, WordPress, Webflow, or a GitHub pull request after approval. Canonicals, structured data, and new pages stay behind the same approval.
Shopify, WordPress, and Webflow through native integrations, or a GitHub pull request on a code-owned site, after a remote re-read. Foliora does not mutate theme Liquid, theme PHP, Designer canvas, or custom code, and it does not write llms.txt as a served root file. If you skip a publisher, you still get the exact approved diff. The free snapshot still reads any public site.
No, and you should be wary of anyone who does. Nobody controls what a model returns, and the same prompt can produce different citations on different days. What Foliora can do is tell you which questions currently return a competitor, draft the change on an existing page, and — on your own page — write the approved change and re-ask on a schedule. The measurement is the honest part of the offer.
There is no fixed engagement length, because the model is a loop, not a project with a delivery date. A snapshot takes minutes; an approved change is dated when you sign off; and the result takes as long as Google and the assistants take to recrawl and resample, which is weeks for search rankings and roughly a monthly cycle for AI citations. At any point you can see exactly what was approved and when.
preview
See the foundation before you connect an account.
Prefer the field guide? Read the practical AI SEO definition
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