Integris: how agentic search works

Phase 1 · Now (2026) · Exploded view

Integris: how agentic search works

Everything starts with integrisit.com. Split it apart: on the left is how a buyer's question travels through AI answer engines. On the right are the parts Integris controls, which decide whether it gets cited.

AssembledThe Integris website as one block, with everything assembled on top of it. Press Play or Replay to split it apart.

Step 1A buyer, usually an IT or ops lead, asks an AI assistant for an MSP recommendation instead of searching Google.

Step 2AI answer engines such as ChatGPT, Gemini and Perplexity go looking for sources they can read and trust.

Step 3They check off-site proof: reviews, directories and press coverage that back up what the site says.

Step 4On the Integris side, answer-ready pages and llms.txt give the engines clean, quotable content.

Step 5Under those, crawler access and structured data let the engines get in and understand what Integris offers.

Step 6The result rises from the site: Integris is cited and shortlisted, and the buyer books an assessment.

Step 7The complete picture: the buyer side on the left, the Integris side on the right, and the outcome in the middle. The red dot traces one buyer's journey.

Hover over a block, or press Tab to move through them, to see what it does and why it matters.

Foundation

Integris website

integrisit.com is the base everything sits on. Every answer an AI gives about Integris is built from what it can read here and what other sites say about it.

Buyer side

Buyer

An IT or operations lead asks an assistant something like “Who’s a good MSP near me for CMMC compliance?” They often never see a results page.

Buyer side

AI answer engines

ChatGPT, Gemini, Perplexity and Copilot crawl, read and summarize. They cite the sources they can parse and trust, and skip the rest.

Buyer side

Off-site proof

Third-party reviews, directories such as Clutch, and press coverage. Engines check the site against these before they recommend anyone.

Integris controls

Crawler access

Let AI crawlers in through robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), and serve fast, server-rendered HTML that doesn’t depend on scripts.

Integris controls

Structured data

JSON-LD markup for Organization, Service, LocalBusiness and FAQPage, so engines know exactly what Integris offers and where.

Integris controls

Answer-ready pages

One clear page per service and region, with price ranges and direct answers to common questions. No gated PDFs.

Integris controls

llms.txt + feeds

A clean /llms.txt that maps the key pages, plus an up-to-date sitemap, so agents find the right content quickly.

Outcome

Cited + shortlisted

Integris shows up in the AI’s answer and makes the shortlist. The buyer books an assessment through a simple calendar, with no form wall in the way.

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Integris: seller agent architecture

Phase 2 · Seller-agent era · Exploded view

Integris: seller agent architecture

Same foundation, next era. When buyers send agents to shop, the site splits into the deal flow on the left and the tools Integris exposes on the right. Its own seller agent rises in the middle.

AssembledThe same Integris website, now with an agent card that tells other agents where to find Integris's own agent. Press Play or Replay to split it apart.

Step 1A buyer's agent arrives to shortlist MSPs, compare offers and negotiate on the buyer's behalf.

Step 2Guardrails sit between the agents: price floors, approval rules and a human sign-off on anything binding.

Step 3An account executive takes the handoff and closes the contract. The agent qualifies the deal, and a person signs it.

Step 4On the Integris side, the service catalog and quote engine give the agent real offerings and price ranges.

Step 5The trust room and calendar plus CRM let it prove compliance, book the call and log every lead.

Step 6The Integris seller agent rises from the site. It's the endpoint that talks to buyer agents over MCP or A2A.

Step 7The complete picture: the deal flow on the left, the tools on the right, the seller agent in the middle. The red dot traces one deal from first request to close.

Hover over a block, or press Tab to move through them, to see what it does and why it matters.

Foundation

Integris website

Still the base. It now publishes an agent card at /.well-known/agent.json, so buyer agents can discover the Integris seller agent. It also reuses the Phase 1 content.

Deal flow

Buyer's agent

Software acting for the buyer. It shortlists MSPs, compares scope and price, and negotiates before a human ever joins the call.

Deal flow

Guardrails

Price floors, discount limits and approval rules. Anything binding, such as a contract, custom pricing or an SLA change, needs a human to approve it.

Deal flow

Account executive

A person takes over from the agent and closes the contract, with the full conversation and context already logged in the CRM.

Agent tool

Service catalog

Machine-readable, scoped offerings with SLAs, built from the Phase 1 service pages.

Agent tool

Quote engine

Returns per-seat price ranges within approved bands, so the agent can answer “what will it cost?” without waiting for a person.

Agent tool

Trust room

SOC 2 reports, CMMC status and insurance certificates that a buyer’s agent can check on its own.

Agent tool

Calendar + CRM

Books the assessment call and logs every agent conversation as a lead, so nothing gets lost.

Focal

Integris seller agent

Integris’s own agent at a published MCP or A2A endpoint. It answers buyer agents, calls the tools on the right, and hands off through the guardrails.

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