01
Technical foundations
Resolve crawl, rendering, architecture, schema and measurement constraints that prevent product and solution pages from being discovered or interpreted reliably.
Citable for Startups
AI Search is not a startup shortcut.
It becomes useful when you have a live technical B2B product, enough evidence to diagnose, and the capacity to implement. We help strict-fit teams move from Diagnose to Build to Operate without pretending company stage is a strategy.
B2B SaaS implementation path
Build from the technical product story outwards.
B2B SaaS SEO and GEO overlap when complex buyers research the category, compare alternatives and test whether the product fits their stack. The work starts with a commercial question and follows the weakest layer—not a fixed content quota.
Read the B2B SaaS strategy →02
Commercial answer coverage
Map category, alternative, integration, use-case and problem questions to pages that give buyers—and answer systems—specific evidence.
03
Entity and source clarity
Keep the company, product, people, integrations and proof consistent across the site and the independent sources buyers rely on.
04
Search and AI reporting
Track organic performance and defined-panel AI observations separately, then connect each to shipped work and the next decision.
The fit gate
Three conditions before the work starts.
ST—01
Existing search motion
You already have a live site, useful content, and enough search or buyer evidence to diagnose. We do not manufacture a baseline from a pre-launch placeholder.
ST—02
A commercial question
You need to decide where SEO and AI Search can influence a specific category, market, pipeline motion, or product launch—not simply whether visibility would be nice to have.
ST—03
Implementation capacity
Someone can approve and ship technical, content, and entity changes. A diagnosis without an accountable operator rarely creates durable progress.
Diagnose establishes the evidence. Build implements the prioritised system. Operate measures and compounds it where ongoing work is justified.
Who it is built for
A narrow operating profile, not a funding-stage label.
ST—04
Technical B2B product
Your buyers ask complex questions before they talk to sales, and your product needs accurate explanation across search engines and AI answer systems.
ST—05
Cross-functional owner
A founder, growth lead, or marketing owner can connect the evidence to commercial priorities and coordinate the people who will implement it.
ST—06
Evidence tolerance
You are comfortable separating observed signals from hypotheses. We report what the data supports and state where attribution or AI-answer measurement remains limited.
Start with evidence
Do not buy an AI Search programme because the category is moving. Establish whether your buyers, competitors, and current visibility justify the work.
FAQ
Startup fit, answered.
Which startups are a good fit?
Usually funded or revenue-stage technical B2B companies with a live site, an existing search or content motion, a defined commercial question, and someone who can implement the work.
Is there a separate startup discount or tier?
No. Diagnose work uses the published fixed prices. Build and Operate engagements are scoped from the evidence, implementation requirements, and level of ongoing measurement—not company stage alone.
What if we're pre-launch, with no live site yet?
A consultation or the free checker can help you orient the work, but paid Diagnose work is normally useful only when there is enough live evidence and a real commercial decision to make.
Can you promise early wins in AI answers?
No. AI answer systems change, citations vary by prompt and market, and implementation does not guarantee inclusion. We establish a baseline, improve the signals you control, and measure the observed change with clear limitations.
Find out whether the work is justified.
Tell us your product, current search motion, and commercial question. We will confirm fit and point you to the appropriate Diagnose route—or say when it is too early.