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Programmatic SEO

Programmatic SEO Agency for AI Products With Many Use Cases

Your product covers dozens of use cases, integrations or templates, and most have no page of their own. As a programmatic SEO agency, we decide which deserve pages, build templates backed by real product data and link them so Google, Bing and AI engines see substance, not filler. Viggle AI cut low-value pages before building new ones, and its keywords in Google's top three rose 362%.

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Free. No pitch deck. We reply within one business day.

Measured against a fixed baseline on every engagement.

  • Viggle AI
  • HeyOz
  • Wisemonk
  • Monk
  • Zivoke
  • TryScent

When programmatic pages pay off and when they backfire

Programmatic SEO is building many pages from one template and one dataset, each aimed at a distinct search. It works when every page answers a real query with facts no other page on your site has. It backfires when the only thing that changes is the keyword in the title.

We have use cases and no pages for them

Buyers search for your product plus their job, their industry or the tool they already use. Each of those searches lands on a competitor because you have a homepage and a features page.

Our last batch of generated pages never got indexed

Someone shipped hundreds of near-identical pages at once. Most now sit under 'Crawled, currently not indexed' in Search Console, because the pages repeat each other.

Every template page reads the same

Swap the use case name and nothing else changes. Buyers bounce, AI answers have nothing specific to quote, and the set drags down the pages that were working.

What we build as your programmatic SEO agency

The template is the last step, not the first. We start with demand and data, write the best pages by hand, and only then scale the pattern to the rest of the set.

01

A go or no-go on each page type

We check search demand and buyer prompts for every proposed set. If a page type has no real queries behind it, we tell you not to build it.

02

A dataset that makes each page different

Use cases, integrations, inputs, outputs and examples pulled from your product and team, so every page carries facts the others do not.

03

Hand-written pages before the template

We write the strongest few pages in a set manually, see how they perform, and turn what works into the template instead of guessing upfront.

04

A quality bar every page must clear

Pages without enough unique content stay unpublished or noindexed until the data exists. The set grows only as fast as quality allows.

05

Internal links that make the set crawlable

Hub pages, sibling links and links from your core product pages, so engines reach every page and understand how the set fits together.

06

Results read per page set

Indexation rate, Google and Bing rankings, AI citations and signups tracked by template, so you know which patterns to expand and which to cut.

Covered on every engine your buyers use

  • ChatGPT
  • Perplexity
  • Claude
  • Gemini
  • Google AI Overviews
  • Google AI Mode
  • Copilot

ChatGPT search and Copilot draw on Bing's index, so Bing rankings feed AI answers. We work on search and AI engines as one program.

How it works

The same four steps on every engagement, with a clear view of what to expect at 30, 60 and 90 days.

  1. 01

    Understand

    Map your product, buyers, competitors and the prompts and searches that decide your category.

    Days 1 to 30. A fixed baseline across every engine and the prompts that matter.

  2. 02

    Prioritize

    Pick the few moves that will get you recommended fastest and turn them into a focused roadmap.

    Days 1 to 30. A focused roadmap agreed, with the first fixes already shipping.

  3. 03

    Execute

    Do the technical, content, authority and AI visibility work ourselves.

    Days 30 to 60. Content, technical and authority work shipping every week.

  4. 04

    Improve

    Track citations, rankings and conversions against the baseline and keep refining.

    Days 60 to 90. A first read against the baseline, then the next quarter planned.

Who this is for, and who it is not for

A good fit

Funded AI startups, seed to Series B, whose product has many distinct use cases, integrations or outputs

  • AI tools with many use cases or templates
  • Products with a long integration list
  • SaaS serving many industries or roles
  • Teams sitting on product data nobody has published

Not a fit yet

  • Products with one core use case
  • Teams wanting thousands of pages in week one
  • Sites with unresolved indexation problems
  • Categories with no search demand yet

Ways teams try to get hundreds of pages live

SearchAxe AI page generator In-house dev build Content mill
Decides which pages to build Yes, from search demand and prompts No, builds whatever you list Usually whoever asked first No
Unique facts on each page Drawn from your product data Rewrites the same input Depends on the data model Rewritten by freelancers
Indexation managed Staged releases and sitemaps Publishes everything at once Often an afterthought Not their job
Quotable in AI answers Structured so passages can be cited Generic phrasing Depends on the copy Rarely
What happens to weak pages Held back or removed Stay live Stay live until someone notices Stay live
Cost structure Quoted after a free consultation Monthly software fee Engineering sprints Per page

What you get each month

  • Baseline report Where you stand on every engine and in search before any work starts.
  • Monthly AI citation and ranking report Citations by engine, rankings and referring domains, read against the baseline.
  • Signups and demos attributed The pipeline that search and AI answers drove that month.
  • Slack access A shared channel with the people doing the work.
  • Rolling roadmap What shipped, what is next and why, updated every month.
  • Competitor movement Which competitors gained or lost ground in AI answers and search, and why.

How we get started

From first call to work in progress in three steps.

  1. 01

    Book a free consultation

    A call about your product, your market and where you stand in AI answers and search today.

  2. 02

    Get a plan and a quote

    We send a plan for what we would do first, with a clear quote for the work.

  3. 03

    Work starts right away

    Once the plan and quote are approved, the work starts immediately.

What clients say

We had thousands of pages going nowhere. Amit cleaned that up and rebuilt our landing pages. Our top three rankings are up 362% and our citations across AI engines have grown more than a hundred times.

Nan Ha Nan Ha Product Growth Lead, Viggle AI Read the Viggle AI case study

We came to Amit with a good product and almost no search presence. He gave our team a plan we could actually follow. Referring domains are up 183% and our first page rankings have more than tripled.

George Kurdin George Kurdin Co-Founder, Monk Read the Monk case study

Our content was getting published but not landing anywhere. Amit reworked how we format it for AI engines and our citations across all seven engines are up over 400%. The Reddit community he built now brings us leads weekly.

Aditya Nagpal Aditya Nagpal Founder, Wisemonk Read the Wisemonk case study

We launched with a homepage and nothing else. Amit built the search foundation, the landing pages, the blog, the schema. Our domain rating is up 70% and we went from zero AI citations to being quoted by six of the seven AI engines.

Ahad Shams Ahad Shams Founder, HeyOz Read the HeyOz case study

We had multiple pages fighting each other for the same terms. Amit mapped it all out, consolidated what needed consolidating, and rebuilt our service pages. Organic traffic is up 147% and our top three rankings have more than doubled.

Manjunath Thandu Manjunath Thandu CEO, Zivoke Read the Zivoke case study

Who's behind SearchAxe

Amit Malvi spent four and a half years at Invideo AI, rising from SEO Executive to Senior SEO Manager. He built and led a 20-person link building team and owned the company's GEO and AEO programs. Today he works hands-on with a small number of AI startups.

Questions buyers ask us

How many pages should we launch first?

Fewer than you think. We usually start with a small batch of the highest-demand pages in one set, watch how quickly they get indexed and whether they rank, and expand once the pattern holds. Launching the whole set on day one makes it impossible to tell whether a problem comes from the template, the data or the site.

Will Google penalize programmatic pages?

Not for being programmatic. Engines act against pages that exist only to catch a keyword and add nothing, however they were made. A use-case page with real examples, specific inputs and outputs and a clear next step is fine. A page where only the keyword changes is the risk, and our quality bar exists to stop it shipping.

Can you use AI to write the pages?

AI helps with drafting and structure, under review. It can't invent the facts that make each page worth reading, such as how your product handles that use case, which integration settings matter or what output the buyer gets. Those come from your product and team. Without them, AI-written pages become the near-duplicates that never get indexed.

What data do you need from us?

Whatever makes each page specific. For use-case pages, that means examples, workflows and outputs. For integration pages, setup steps, supported actions and limits. Often it already exists in docs, support tickets, sales decks or the product itself. We gather it into one dataset and show you the gaps before anything gets built.

When should we not do programmatic SEO?

When your product does one thing for one buyer, when the searches you would target barely exist, or when the site already has indexation problems. In those cases a handful of strong hand-built pages beats any template. We would rather tell you that on the first call than build a set that never earns a visit.

How long before a page set gets indexed and ranks?

Indexation of a first batch comes first, and its speed depends on the health and age of the domain. Rankings take longer and vary with how competitive each query is. We read each set against the fixed baseline around day 90 and expand only the sets that are earning their place. Expect months, not weeks, before a set shows its full value.

Does this work with our CMS?

Usually. Programmatic sets can run on Webflow collections, WordPress custom post types, a headless CMS or pages generated in your framework. The right choice depends on who maintains the set after launch. We pick the setup your team can keep current, because a set that goes stale is worse than a smaller one that stays accurate.

How do AI engines treat template pages?

In the prompts we test, much like any other page. Specific passages get quoted and generic ones get skipped. A use-case page that states the input, the output and who it suits gives an answer engine a clean passage to cite. A page saying your product is great for every industry gives it nothing. Structure and specifics count for more than volume.

What does a programmatic SEO build cost?

It depends on the number of sets, how much data needs gathering and whether we build the templates or brief your developers. We don't publish prices. After a free consultation we send a plan with the first set scoped and a quote, and the work starts as soon as you approve it.

Let's get your product recommended.

Funded AI startup, seed to Series B? Tell us where you stand and we'll reply within one business day.

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