B2B SaaS · Product marketing & growth
Be named when buyers ask AI who belongs in the shortlist.
Assistants now answer before your funnel fires. We run a disciplined program—baseline, gap map, fixes, and retests—so ChatGPT-class surfaces reflect your product accurately and often.
- Evidence
- Prompt-led
- not anecdotes
- Scope
- B2B SaaS
- complex motion
- Lens
- You vs.
- named rivals
Trusted-partner marks can slot in here when you are ready to publish logos.
Start with a snapshot
URL, category, competitors—we show how assistants frame you today.
The shift
Discovery no longer starts on your website
Economic and technical buyers ask copilots for shortlists, comparisons, and specs. If the model’s picture of you is thin, wrong, or second-tier, pipeline dies upstream—no matter how polished your demand gen is.
Invisible handoffs
Answers land inside the chat window—often without a click path to you.
Rivals preferred
Familiar brands with clearer entities win “best for” and bake-off prompts.
Fact drift
Stale docs and weak structure become wrong pricing, integrations, or limits in public replies.
Blind leadership
SEO dashboards ignore assistant share; execs see nothing when AI positioning slips.
The program
From foggy mentions to a managed visibility system
Altus Connect treats AI surfaces like a channel: instrumented prompts, source tracing, a ranked remediation backlog, and scheduled re-runs—so improvements compound instead of decaying after the next model refresh.
Without a system
- ✕ One-off “AI SEO” experiments with no baseline
- ✕ Competitors own comparison prompts you never measured
- ✕ Marketing, docs, and listings tell different stories
- ✕ No owner or cadence after the first audit
With Altus Connect
- ✓ Snapshot of mentions, citations, and accuracy vs rivals
- ✓ Backlog sequenced for PMM, content, and selective eng work
- ✓ Living prompt library aligned to how buyers ask
- ✓ Executive narrative with before/after evidence
Outcomes
What changes on the ground
Concrete wins for teams accountable to pipeline quality—not vanity mentions.
- 1 Cleaner in-chat recommendations on the prompts your ICP actually runs.
- 2 Fewer embarrassing inaccuracies in public assistant answers.
- 3 Defensible share on head-to-head asks versus named competitors.
- 4 Faster learning loops—see which asset changes moved answers.
- 5 Board- and CFO-friendly reporting with trend, not screenshots.
- 6 Launch safety net—catch regressions after site or doc overhauls.
Operating rhythm
How the engagement runs
Quarterly by default; monthly during a major launch or repositioning. Same loop, tighter feedback.
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1
Baseline
Inventory entities, canonical URLs, and a buyer-style prompt battery across priority tools.
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2
Diagnose
Contrast citations, tone, and factual fidelity against your positioning and competitor set.
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3
Improve
Ship coordinated updates across site, help center, listings, and structured data where it matters.
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4
Monitor
Re-run suites, watch for regressions, refine the playbook as models and SERP sources shift.
Deliverables
What you actually receive
Artifacts designed for operators and executives—not a vague checklist labeled “AI SEO.”
Prompt intelligence library
Category, comparison, and “who should I evaluate” queries—versioned and rerun on a schedule.
Citation & mention cartography
Which domains the model leans on—and where competitors intercept your narrative.
Sequenced fix backlog
PMM- and content-owned tasks first; engineering called in only for schema or structural work.
Competitive benchmark pack
Head-to-head inclusion rates on the same prompt rails your category cares about.
Executive narrative
A crisp before/after storyline for QBRs, the board, and budget conversations.
Analyst interpretation
Separate model noise from durable signal—so you invest in fixes that survive the next refresh.
Why Altus
Built for serious B2B—not consumer playbooks
We combine export-grade research discipline with SaaS go-to-market reality: long cycles, multiple stakeholders, and proof that has to hold up in a committee.
Complex product fluency
Integrations, security posture, pricing models—we stress-test how assistants summarize hard software accurately.
Operator-first delivery
PMM and growth stay in the driver’s seat; engineering hours are reserved for changes that truly need code.
Global and multilingual
When your ICP spans regions, we adapt prompts, competitors, and source expectations—not a single US-centric lens.
FAQ
Answers for buying committees
Commercials, timing, onboarding, and what honest AI visibility looks like.
1 How does commercial structure work—are we locked into a long retainer?
We begin with a scoped baseline and playbook so outputs and fees are explicit. Retainers extend once the gap analysis proves value; depth scales with regions, prompt breadth, and competitive density.
2 Where should we expect impact first—and on what timeline?
Early signals appear as cleaner mentions and more accurate specs on tracked prompts. Velocity depends on how quickly you ship backlog items and how contested the category is. Expect a prioritized plan within weeks; durable movement follows execution.
3 Who needs to be in the room for onboarding?
Product marketing or growth typically leads with access to positioning docs. Legal rarely blocks progress. Engineering joins selectively for structured data or CMS constraints. We bias to async artifacts over standing meetings.
4 What happens after the first deliverable?
You keep the prompt suite and methodology. Optional retainers cover quarterly reruns, launch monitoring, and refresh cycles when competitors move. We highlight model or source shifts that materially affect your category rails.
5 Can you tailor for our ACV, motion, or vertical?
Yes. Enterprise versus mid-market, PLG versus sales-led, and regulated verticals each change prompt design and risk emphasis. The framework stays consistent; weighting reflects how your buyers actually research.
6 Do you guarantee top placement in a given assistant?
No ethical partner can promise a permanent rank inside opaque, shifting models. We guarantee rigorous measurement, an ordered remediation plan, and reproducible tests—evidence leadership can trust when models change weekly.
Make the next assistant answer accurate—and favorable
Tell us what you sell, who you compete with, and where you sell. We reply within one business day with next steps.