Inserviss LabsWhat you’ll see
Your console, from day one
Shortlist opportunities, overnight work, reach, pipeline influenced — one live view.
Opportunities your agents found
Ranked by how fast you can win them
"Best MDR provider for a mid-market budget"
Nobody cited yet · ~450 asks/month · you're a strong fit
"Compare [category] tools for a dev team"
High value · a Reddit thread is cited instead · winnable in ~3 weeks
"Is [Vendor] SOC 2 compliant"
Nobody cited yet · ~200 asks/month · you already are
"[Category] vendor comparison 2026" — you slipped to #2
A competitor refreshed their comparison page · your answer needs updating
"Enterprise SSO support" — cited, but marked roadmap-only
Copilot lists SSO as “coming soon” · your docs need updating
Confidential — mapped to your existing analyst relations and review-platform programs
Your AI Visibility Score
One number. Every engine. Never blended.
0–100 for whether AI shortlists your product and gets capabilities, pricing and certifications right — scored on both sides of the citation split. Toggle three months forward.
Illustrative — a sample vendor
0F
Named by AI · How often assistants put the product on the shortlist at all0
Vs. competitors · Share of the answer next to the incumbents in your category0
Facts correct · Whether capabilities, pricing model and certifications are right and current0
Listed where AI looks · Completeness on G2, Capterra, TrustRadius and analyst coverage0
Site AI can read · Whether comparison and capability pages are ungated and machine-readable0
Where the product stands, engine by engine — never blended
ChatGPTfavours your own product domain for product queriesNot cited
Microsoft Copilotwhere the shortlist memo gets drafted in Microsoft 365Not cited
Perplexitypulls most citations from third-party sourcesNot cited
Google AI Overviewsthe broad research surfaceNot cited
Geminithird-party-weighted, like PerplexityNot cited
Anthropic Claudefastest-growing among engineering buyersNot cited
AI rarely puts this product on the shortlist — and when it does, it cites a two-year-old Reddit thread or a stale capability claim. Buyers are being routed to G2, the incumbents, and old community threads instead.
Knowledge graph
The asset that compounds
Every month, AI verifies more facts about your product — capabilities, pricing model, integrations, certifications, competitive position — and they stay. A competitor starting today is months behind.
Scout — verified factMaker — published answerAnchor — review-site & analyst placement
A sample of the graph. Scout verifies the facts, Maker publishes the answers, Anchor gets the review sites and analyst coverage right — and it only ever grows. Illustrative figures.
Monthly report
One report. Every month.
Your score and its trend, citations by engine, where you stand against the incumbents, what the agents did, and what needs your review.
Illustrative sample — not a real client’s data.
Monthly AI Visibility Report
Cindris
August 2026
Delivered 1 September 2026
Across 6 engines, 148 tracked queries, 4 named competitors.
AI Visibility Score ·
Cindris now appears on roughly one in three AI-built shortlists in its category — a month ago it appeared on almost none. On the “alternatives to [incumbent]” and pricing questions, a review site still answers in your place.
Key numbers
35%
Overall citation rate
▲ +15pts
3rd
Share of voice, 4 named rivals
▲ from 6th
94%
Capability-accuracy score
▲ +12pts
22
New knowledge-graph entities
▲ 158 total
Citation rate by engine — never blended
ChatGPT44%
Perplexity33%
Google AI Overviews30%
Microsoft Copilot — new this month25%
Anthropic Claude23%
Gemini18%
Copilot grounding data — new source, live since domain verification
63
Grounding queries matched your category
19
Shortlist-intent queries, of 63
4
Pages cited (0 last month)
6 of 19
Shortlist-intent queries you now win
▲ from 1 of 19
Citation share — you vs. named competitors
“Alternatives to [incumbent] that are cheaper”
“Best [category] software for mid-market”
“Is Cindris SOC 2 Type II certified”
Flagged for your review
FixPerplexity is citing a two-year-old Reddit thread instead of your current comparison page — sent to Maker.
Gap“[category] tool with a good API” has no ungated answer page — 14 grounding queries a month, never cited.
What your agents did in August
Scout verified your Bing Webmaster Tools domain — Copilot grounding data is now live
Maker published an ungated “Cindris vs [incumbent]” comparison page with full schema
Scout re-sampled 148 tracked questions across all six engines
Anchor submitted an updated G2 profile and product description — pending review
While the team was offline for the weekend
Scout flagged Claude citing a retired pricing tier — escalated to Maker
Maker ungated the capability matrix from behind a form — re-cited on ChatGPT within 48 hours
Anchor logged a completed analyst briefing into the Gartner interaction history
Knowledge graph — your persistent asset
158
Entities tracked (+22)
720
Verified connections (+168)
94%
Average confidence score
The graph is yours and it compounds. Every month it holds more verified facts about your product — capabilities, pricing model, integrations, certifications, competitive position — so answers get harder to get wrong and harder for anyone else to replicate. Stop, and it stops growing; stay, and each month starts further ahead than the last.
Focus for September
Close the API-capability content gap — 14 grounding queries a month, unanswered
Push citation share on “best [category] software for mid-market” past the 70% incumbent lead
Complete the TrustRadius profile refresh and the next analyst briefing
FAQ
The detail, if you want it
When a security buyer asks which MDR provider fits a mid-market budget, or an IT buyer drafts a vendor shortlist inside Copilot, your product often never appears — 35–42% of cybersecurity category queries return no confident vendor citation at all.⁵ Inserviss runs persona and category prompt panels across all five engines, restructures and ungates your comparison and capability content so ChatGPT will cite it, and builds the off-domain layer — G2, Capterra, TrustRadius, analyst relations, real community presence. AI-referred traffic converts at 9x Google organic,² and 89% of a category's citations go to just the top three brands,² so the structural work compounds.
Three ways. The silent category: a buyer asks which provider fits a budget and ChatGPT names no one — 38% of the time, that's simply the answer given. The Reddit referral: Perplexity cites a two-year-old Reddit thread instead of your current documentation. The invisible shortlist: an IT buyer's Copilot shortlist never includes you because your content isn't structured for anything to reference. 51% of buyers now start with AI rather than Google, and 69% switch vendors based on what it says.
This is the counterintuitive part: ChatGPT favours your own product domain for product queries, while Perplexity, Gemini, Claude and Copilot pull the large majority of their citations from third-party sources — the opposite pattern, in the same buyer's research session. Core SaaS buying: ChatGPT dominates by volume and favours your pages, Copilot is where the shortlist memo gets drafted, Google AI is the broad research surface. DevOps: Perplexity does deep technical research with heavy Reddit reliance, Claude is fastest-growing among engineering buyers. Cybersecurity: Perplexity for analyst- and community-sourced input, ChatGPT for category-defining queries (MDR, EDR, DLP), Copilot for RFP drafting. A single-engine, single-tactic tool structurally can't cover both halves.
One system, three jobs, roughly 20 / 40 / 40. Scout runs persona and category prompt panels across ChatGPT, Copilot, Gemini, Claude and Perplexity, including zero-citation opportunity tracking. Maker is the on-domain fix ChatGPT rewards most: schema-complete comparison pages, server-side rendering, and ungated core content. Anchor is off-domain — G2, Capterra and TrustRadius review programs, analyst relations with Gartner and Forrester, Wikidata, and genuine Reddit / GitHub / community presence. Everything is built to the standard your SOC 2 audit already meets, with version-controlled claims: Draft → Review → Publish → Monitor.
On your site, Maker turns gated comparison and capability PDFs into citable pages, moves core content from behind a form to ungated and crawlable, refreshes stale content from >90 days to <30, and adds schema and an llms.txt. Off your site, Anchor takes your G2, Capterra and TrustRadius profiles from thin and outdated to complete and current, builds an active analyst-briefing cadence with Gartner and Forrester where there was none, establishes your Wikidata and Wikipedia presence, and turns Reddit / GitHub absence into genuine participation. Every change is tracked with a before, an after, and the date it moved.
No — it's complementary. Most of the work is structuring and ungating what already exists, and building the review-platform and analyst-relations layer demand-gen teams don't usually own.
Most of those tools optimize one engine with one tactic. ChatGPT and the Perplexity/Gemini/Claude cluster run on opposite citation logic — vendor-domain vs. third-party — so a single-engine, single-tactic tool structurally can't cover both halves of the split.
We can't promise a placement — no one can. What Anchor does is build the sustained analyst-relations cadence and briefing history that Gartner and Forrester coverage actually depends on, and Scout tracks whether that's translating into citations.
That's the highest-leverage case, not a dead end — Scout flags zero-citation categories as open ground, and Maker/Anchor prioritize establishing the first well-structured, well-cited answer before a competitor locks up the category.
See both halves of the citation split, for your category
One diagnostic, six engines, an audit-ready read of exactly where you stand.
Confidential — mapped to your existing analyst relations and review-platform programs