Q2 2026 · Category-exclusive retainer slots open · reviewed weekly
DOXIA AXIS
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DEFINITION29 Apr 20268 min read

What is Doxia Axis?

Doxia Axis is an AI consultancy that runs 14-day sprints for operators past product-market fit. We focus on AI-visibility implementation and workflow automation. We audit, scope a fix, ship it, measure the revenue movement. No decks. No theatre.

So what is Doxia Axis?

An AI consultancy. One operator. Two-week sprints.

We work on two narrow problems. First — making your business citable by ChatGPT, Claude, Perplexity, Gemini, Copilot, and Grok. Second — installing AI into the specific workflows that already touch your revenue. We audit the gap, scope the fix, ship it live on your stack, and measure what moved.

We are not a generalist agency. We are not a strategy shop. We do not produce decks. The deliverable is always something running on your systems by the end of the engagement, measured against a number that matters.

The operator is Dhruva Kumar. Engagements run from a free 5-day AI Visibility Audit at the bottom rung up to enterprise builds at the top, across a five-tier ladder.

What do we actually build?

Three pillars and five diagnostics. The pillars are what we build. The diagnostics tell us where to build first.

The build pillars:

  • Workflows — AI woven into the processes your team already runs. Lead-qualification triage that ranks by fit and intent. Document intake that reads, classifies, and routes. Internal Q&A assistants grounded in your own documents.
  • Automations — systems that run on their own with no human in the loop. Inbound enrichment with CRM sync. Scheduled reports that write themselves. Pipeline guards that flag drift before a human notices.
  • AI Solutions — custom builds scoped from a consult. Customer-facing chatbots grounded in your knowledge base. Internal assistants for ops or sales. Decision-support tools tuned to your operating model.

The five diagnostics:

  • GEO — how visible you are inside ChatGPT, Perplexity, Gemini, and Google AI Overviews.
  • Marketing — brand, copy, funnel, social, SEO, content. End to end.
  • Ads — creative, audience, funnel, budget, competitive intel.
  • Sales — ICP, prospecting, qualification, outreach, follow-up, objections.
  • Reputation — review aggregation, sentiment, response strategy, crisis playbooks.

The diagnostics show up inside every audit. They tell us where AI belongs first. The build pillars are how we actually install it.

Who is this for?

Post-PMF operators. Four broad verticals.

Professional services. Law firms, accounting practices, consulting groups, medical practices, financial advisory. Knowledge-work businesses where citation in the AI answer engines now drives a measurable share of high-intent client acquisition.

Hospitality and local services. Wedding venues, boutique hotels, inns, restaurants, salons, retail. Service businesses where direct-booking lift and intake automation translate cleanly into margin.

E-commerce and DTC. Online retail brands where the funnel quality matters more than the ad spend.

B2B SaaS and technology. Software companies where AI integration into the product or the go-to-market motion compounds over time.

Who is this not for? Pre-PMF teams still hunting for their wedge. Anyone who wants a strategy deck. Anyone who can't give an operator direct access to the data, the people, and the decisions inside the business. We name this honestly on the About page. Bad-fit engagements hurt both sides.

What does the free audit actually contain?

This is the proof artifact. Every engagement starts here.

A 5-business-day diagnostic. Fourteen pages. No charge.

What's inside:

  • Six-AI-system scan. ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok — run against your brand and your top three competitors with the queries your prospects actually type.
  • Schema and structured-data gap report. Every missing schema type named. Ranked by citability impact. With the exact JSON-LD to deploy.
  • Revenue-quantified findings. Every gap tagged in dollars. So you can sequence by impact, not opinion.
  • Competitive citation analysis. The three to five competitors most often cited in your zone, and the specific reason each one wins the citation.
  • A 60-minute strategy walkthrough with the operator.
  • A 30-day async Q&A window after delivery.

You keep the dossier whether or not you continue. At a competing agency, an audit of this depth runs $1,500 to $7,500. We deliver it free because the audit is how we earn the next conversation. If the fourteen pages don't earn it, nothing we say will.

What makes Doxia Axis different?

Three structural reasons we ship tighter scope at lower price than the alternatives. Not promises — the way the operation is built.

Versus dev shops. A dev shop ships what you scope. We ship what the diagnosis demands. Free 5-day audit instead of a four-week discovery engagement. Specialized on AI-visibility and automation — not a generalist build shop. Every problem priced in dollars before we propose a fix.

Versus chatbot vendors. A chatbot vendor sells you a generic tool and calls it a strategy. We build purpose-specific systems grounded in your knowledge base, integrated with your operations, escalating to humans with full context attached. Legal, compliance, and reputation considerations get audited as part of the engagement — not after the deployment breaks something.

Versus Big-4 consultancies. Big-4 engagements run waterfall sub-contracts with a partner, a senior manager, consultants, and a project manager all billable every day. We run parallelized streams with fixed scope and fixed price. Same shipped outcome at roughly 5–10% of Big-4 cost. The team that ships the build is the team that stays embedded to keep it working.

The deeper reasons live on the pricing page under the "structural reasons our price is lower" notes for each tier.

Which AI engines do we test?

All six. Every audit. No exceptions.

  • ChatGPT (OpenAI) — the search-enabled mode and the citation surface in conversational answers.
  • Claude (Anthropic) — web search via tool use. Particular weight on neutral analytical tone and source-citable structure.
  • Perplexity — citation-chain weight. The engine most sensitive to whether your content cites primary sources of its own.
  • Gemini and Google AI Overviews — the SSR-rendered Google answer surface plus the standalone Gemini web-search.
  • Copilot (Microsoft / Bing) — workplace-context queries. Pairs strongly with FAQPage and HowTo schema.
  • Grok (xAI) — emerging surface. Included for completeness on competitive citation analysis.

The audit deliverable lists exactly which engines cite you today, which cite your competitors, and what content shape would close the gap.

Want to see what the work looks like?

Four shipped April 2026 audits. Each one a different vertical, same methodology, very different diagnoses:

  • Estate planning lawCharlotte, NC firm. The Board-Certified Specialist credential — a designation held by ~1% of NC attorneys — was invisible to every AI engine. Hidden mid-way through a 2,100-word founder bio. Eight schema gaps named. A 60-to-90-day rebrand-consolidation window quantified before the authority calcified across two domains.
  • Personal injury lawSavannah, GA firm. Strong technical chassis. Thirty years of bench depth. Top-of-segment reputation. Across three AI engines, the firm appeared in the sourcing — but never as the cited authority. Why? Five years of content silence, FAQPage gaps across 24 practice pages, and after-hours intake handled by a business-hours form.
  • Luxury wedding venuesHudson Valley, NY venue. Top-of-segment supply, leaking funnel. The 90-minute personalized tour was their sales weapon — and their first contact with every lead. No qualification layer meant tours were burning on mismatched leads.
  • Boutique hospitalitycoastal South Carolina inn. $28K to $55K leaking annually through OTA commission. The late-night decision window was dark. The math? AI concierge engagement pays itself back inside 6 to 10 months.

Same shape. Different diagnosis. The verticals tell us what to look for. The audit tells us what's actually broken.

What does the engagement ladder look like?

Five tiers. Walk-away at any time. No auto-renewal traps.

| Tier | Name | Price | Timeline | |---|---|---|---| | 0 | Free AI Visibility Audit | Free | 5 business days | | 1 | Low-Ticket Entry | From $500 | 7-day sprint, one fix shipped live | | 2 | Mid-Ticket Core | From $2,000 | 14-day sprint, full integration | | 3 | High-Ticket Retainer | From $5,000 / month | Monthly cadence, 3-month minimum, designed for 12+ | | 4 | Enterprise Build | Contact for quote | 60–120 day build + embedded partnership |

Most clients enter at Tier 0 — the free audit. Then proceed to Tier 1, the $500 proof-of-work sprint. Then continue into Tier 2 or Tier 3 once the first deliverable has actually shipped. The retainer is where the compounding lives. But every engagement is priced for the deliverable, not for billable hours, so the math stays clean at every rung.

Who runs this?

Dhruva Kumar — founder, operator, the voice you'll be talking to.

Every engagement runs with operator-direct access. Every audit. Every scope call. Every shipped deliverable. There is no account-management layer. There is no junior-consultant handoff. The voice on the call is the voice writing the code is the voice signing the dossier.

So where do you go from here?

Three honest paths:

  • You want to see the methodology before deciding. Read a Sample AI Visibility Audit — it walks through what the deliverable actually contains, page by page.
  • You want to compare verticals. Read all four shipped case studies — same audit shape, four different diagnoses.
  • You're ready to skip ahead. Book a call — we'll arrive with a draft solution scoped to your business, not discovery questions.