Skip to content

Technical SEO

SaaS Technical SEO for AI Products That Ship Every Week

Your AI product ships pages faster than anyone checks what Google, Bing and AI crawlers actually receive. Our SaaS technical SEO work fixes indexation, rendering, app and docs domains, schema and AI crawler access, then verifies each fix after release. Viggle AI started with index cleanup and now has 362% more keywords ranking in Google's top three.

Get a free AI visibility consultation

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

Where AI product sites break for crawlers

Most technical problems on AI startup sites come from shipping speed, not neglect. A feature gets a page, the app leaks into the index, the docs grow their own navigation, and nobody checks what a crawler sees. The result is a site that looks fine to buyers and reads badly to every engine.

We submitted sitemaps and AI answers still skip us

Getting into an index is the first gate, not the last. If the pages that come back are thin, render empty or are blocked to AI crawlers, nothing gets cited.

Search shows our login pages, not our product

App routes, auth screens and parameter URLs get crawled because nothing tells engines to skip them. The pages that explain what you sell end up competing with your own dashboard.

Crawlers see a blank page where our copy is

Client-side rendering hides your copy until JavaScript runs. Some crawlers wait for it, many AI crawlers fetch the raw HTML and leave with an empty shell.

What our SaaS technical SEO work fixes

We start from what crawlers actually fetch, not what the CMS says is published. Every fix is ranked by the revenue pages it touches, shipped with your engineers or by us, and checked again after release.

01

An index that matches your real site

We find thin, duplicate and orphaned URLs, then prune, merge or canonicalize them and keep clean sitemaps for Google and Bing.

02

Copy crawlers can read without JavaScript

We test what each crawler receives and move key pages to server-side rendering or prerendering wherever the copy is missing.

03

App and marketing kept apart

Login screens, dashboards and parameter URLs stay out of the index, whether the app sits on a subdomain or a subfolder.

04

Docs that support your product pages

We fix docs navigation, canonicals and versioning so documentation answers technical queries without outranking the pages that sell.

05

AI crawlers allowed on purpose

We set robots rules for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Anthropic's search crawler, and check that bot protection at your CDN is not quietly blocking them.

06

Schema that states what the product is

Organization, SoftwareApplication, FAQ and breadcrumb markup carrying the same facts as your copy, so search engines read your category from the markup instead of inferring it.

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 site has grown faster than its structure

  • AI products with large docs or help centers
  • SaaS sites built on JavaScript frameworks
  • Teams that split app and marketing domains
  • Sites full of auto-generated or legacy pages

Not a fit yet

  • Teams with no engineering time for fixes at all
  • Small static sites with no indexing problems
  • Companies that only want a crawl report exported

How technical fixes usually get handled at AI startups

SearchAxe Crawler tool export Engineering team alone One-off technical consultant
Finds the real issues Crawls, server logs and live fetches per crawler Hundreds of warnings, unranked Only what someone reports Yes, at one point in time
Ranks fixes by revenue pages Yes, starting with pages that drive signups No, by warning type By whoever asks loudest Sometimes
Ships the fix With your engineers or by us No Yes, when the sprint allows Leaves a document
Checks AI crawler access Robots rules, CDN and rendering per crawler Rarely Not usually on the radar Depends on the consultant
Verifies after release Every fix we ship, rechecked after release At the next scheduled crawl If something visibly breaks Engagement already ended
Cost structure Quoted after a free consultation Monthly software fee Engineering hours taken from product Day rate or fixed project

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

We submitted sitemaps to Google and Bing. Why don't AI answers mention us?

Sitemaps get pages discovered. They don't make pages worth citing. ChatGPT search and Copilot draw on Bing's index, so Bing coverage matters, but answers also need pages that render without JavaScript, state plainly what you do and are backed up by other sites. We check each of those layers, starting with what the crawlers actually fetched.

Should our docs live on a subdomain or a subfolder?

Either can work. What matters more is that docs link back to the product pages they support, carry correct canonicals across versions and don't compete for the same commercial terms. If you are already on a subdomain and it is healthy, we usually leave it alone. A move is only worth the risk when the current setup is clearly costing you.

Should we block or allow AI crawlers?

For most startups, allow the crawlers that feed AI search results, such as OAI-SearchBot, PerplexityBot and Anthropic's search crawler, because blocking them can keep your pages out of those answers. Training crawlers such as GPTBot and ClaudeBot are a separate business decision. We lay out the trade-off, set the robots rules you choose and confirm your CDN and firewall respect them.

Our marketing site is a React single-page app. Is that a problem?

It can be. If the copy only appears after JavaScript runs, some crawlers see a near-empty page. Google renders JavaScript eventually, but many AI crawlers read the raw HTML and move on. We test what each crawler receives, then recommend server-side rendering, static generation or prerendering for the pages that matter, not a full rebuild.

How long do technical fixes take to show up?

Some changes register as soon as engines recrawl, such as unblocking a crawler or correcting a canonical. Index cleanup on a large site is slower, because engines drop and re-evaluate pages at their own pace, and rankings settle over weeks to months after that. We record the baseline first so each change can be traced rather than assumed.

Do you write the code or hand us tickets?

Both, depending on access. Where we can work in the CMS, the robots file, redirects or schema directly, we make the change ourselves. For framework or infrastructure work, your engineers get a ticket with the exact fix, the affected URLs and how we will verify it. Then we check the release, not just close the ticket.

What schema does an AI product need?

Usually Organization, SoftwareApplication or Product, FAQ where you have real questions, and breadcrumbs. The markup matters less than consistency. Your schema, homepage copy, pricing page and third-party profiles should state the same category, name and core features, so engines are not left reconciling facts that disagree with each other.

What did index cleanup look like for Viggle AI?

The site carried a large number of pages that earned nothing and diluted the ones that did. We pruned and consolidated them, rebuilt the landing pages that mattered and kept the index focused on pages worth ranking. Keywords in Google's top three grew 362%, and pages cited in AI answers went from 4 to 279.

What does a technical SEO engagement cost?

It depends on the size of the site and whether we are clearing a backlog once or covering every release. We don't publish prices. After a free consultation we send a plan that lists the technical work in priority order, with 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.

Schedule a Free Consultation