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GEO · AEO · AI SEO for startups

When your buyers ask AI who to hire, the answer should include you.

ChatGPT, Gemini, Perplexity and Copilot don't guess their answers. Each one reads a technical retrieval layer, and that layer can be measured, built, and re-measured.

Book the sprint

₹35,000 fixed · US$750 · credited toward your first retainer month

See the receipts

Receipts, not promises

Every number below is our own measured result on matrixgard.com, a site with no ad budget and no domain-authority head start.

#1
named answer on ChatGPT for our category query
#1
named answer on Gemini for the same query
108
Microsoft Copilot citations on record (May-Aug 2026)
21.2%
citation share on a buyer query, per Bing's own telemetry

Don't trust a screenshot. Reproduce it.

Open ChatGPT or Gemini right now and ask: best fractional devsecops providers in chennai. The first name in the answer is the practice behind this page. That is the outcome this sprint is built to chase for your category.

Captured live · 29 August 2026 · same prompt, three engines

Screenshots age; the prompt does not. Answers change per query and per day, which is exactly why we sell a measurement, not a promise. Click any capture for the full view.

Why you're absent: each engine reads a different layer

"AI visibility" is four different problems wearing one name. Answers are grounded in retrieval, and retrieval responds to concrete, technical work.

EngineAnswers grounded inWhat actually moves it
ChatGPTBing's indexBing crawl + IndexNow + exact-intent pages
Microsoft CopilotBing's indexSame layer; citations tracked in Bing Webmaster Tools
GeminiGoogle Search + Business ProfilesGoogle index, structured data, Business Profile
PerplexityIts own crawler + web partnershipsCrawler access, fresh exact-intent pages, cited directories

The sprint: two weeks, then proof

Two weeks of concrete, inspectable work, then the same measurement that produced the receipts above. Probe at dusk, build in daylight, measure at night.

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Baseline probe
Week 1

Your buyers' real questions, verified against live demand data, then a visibility matrix across all four engines: where you appear, where you don't, and who gets named instead.

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Build the layer
Week 2

The technical surface AI retrieval reads: structured data, llms.txt, crawler access for every AI bot, index notification, and the third-party listings engines recite, corrected to say what you want quoted. Plus exact-intent pages for your highest-value buyer query.

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Re-probe
Day 30

The same prompt matrix, re-run. Before and after, side by side. A measurement that could come back negative, which is exactly why it means something when it doesn't.

Fixed price. Credited if you continue.

₹35,000 / US$750 international
  • Agreed before work starts. No hourly surprises.
  • Fully credited toward your first retainer month if you continue with MatrixGard.
  • Everything documented for handover: it's yours either way.

What we will never promise

  • Guaranteed placements. Nobody controls an AI engine's answer, and anyone promising one is selling you weather control.
  • Visibility without substance. Engines cite pages that genuinely answer a buyer's question. We build the layer; you need a real offer.
  • What you do get: a baseline you can disbelieve, work you can inspect, and a re-probe that would expose us if the method didn't move anything.

Questions founders actually ask

Is this just SEO with a new name?

It overlaps and it is not the same. Classic SEO optimizes for ranked lists of links; this optimizes for being the named answer in a synthesized response. The retrieval layers differ per engine, the citation mechanics differ, and third-party surfaces like directories matter far more, because engines recite them. Sites that rank fine on Google are routinely absent from AI answers.

Can you guarantee we get cited?

No, and nobody honestly can. The engines change and answers are synthesized per query. What you get is the measurable part: a real baseline, the technical layer shipped and verified, your citation surfaces corrected, and a before/after re-probe on the same prompts. Our own site is the reference, and you can check it yourself in ten seconds.

Why is a DevSecOps practice selling this?

Because the work is technical, not editorial: crawler access, DNS, structured data, redirects, headers that silently block AI bots, canonical hygiene. It is the same layer of the stack we already run for clients. We built this for our own visibility first, measured everything, and productized what worked. The security retainer remains the core business; this is the growth-side offshoot.

What do you need from us?

Site access (repo or CMS), your honest positioning, and one call to agree the buyer prompts that matter. If you cannot yet articulate who buys and what they would ask, the sprint starts with exactly that conversation.

Find out where you stand. On evidence.

The baseline probe alone tells you who your buyers are being sent to instead of you.