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Quattr Agents

AI visibility agents: your best search work, made repeatable

Start with a finished search job, not a blank prompt. Each Agent carries the question, scope, expert steps, and output, then reruns to the same standard.

Watch an Agent rerun Explore all Agents

Read-only analytics · Evidence attached

Market Share Agent Illustrative product demonstration
Are we gaining share against our tracked competitors, and is the change real?
Next moveExtend the how-to refresh to the two templates still losing first-page positions.
Gaining, share up 0.8 pts, and the change is real (p = 0.02).
19.4%share of tracked demand #2position · gap −4.1 pts how-tosegment driving the gain
vs last run · Holding → Gaining · gap −4.9 → −4.1 pts

scope acme.example · US · non-brand · organic  ,   cadence every 14 days  ,   output verdict · segment table · evidence

4.9/5on G2 · 65 verified reviewsG2 Users Most Likely To RecommendG2 Best Usability
  • Bluehost
  • Simpplr
  • Coursera
  • Gaylord Hotels
  • Housing.com
  • Men's Wearhouse
  • Eightfold.ai
  • HostGator

The signature behavior

Same job. Same standard. A new decision every time.

Illustrative product demonstration

One Agent, run twice. The contract stays fixed; the evidence and the decision change, and you can inspect why.

The Agent contract, defined before any run
AgentMarket Share Agent
QuestionAre we gaining share against our tracked competitors, and is the change real?
Scopeacme.example · US · non-brand · organic · 14-day windows
Cadenceevery 14 days · or on demand
Expert stepsmarket_share_overview → market_share_breakdown → significance_check
OutputVerdict · segment table · evidence · boundary · next move
The job arrives already defined. You never assemble it.
Same standard, unchanged between runs ✓  Question & scope ✓  Expert steps, same order ✓  Significance gate before "gained" ✓  Output contract, same shape market_share_overview → market_share_breakdown → significance_check
Run 01Jun 21 to Jul 4 · vs prior 14 days
Holding

Clicks up, share flat, the gap to the leader is unchanged.

18.6%share · +0.1 pts · p = 0.31, noise #2gap to leader −4.9 pts
Next moveNone forced. Keep the cadence; watch how-to queries, where the leader gained.
⚠ Observational · share CTR-modeled, directional
Run 02Jul 5 to Jul 18 · vs prior 14 days
Gaining, real

Share up 0.8 pts and the gap narrowed. The gain concentrates in one segment.

19.4%share · +0.8 pts · p = 0.02, real #2gap to leader −4.1 pts
How-to+2.1 real
Product pages+0.2 n.s.
Comparisons−0.1 n.s.
Next moveExtend the how-to refresh to the two templates still losing first-page positions.
⚠ Observational · share CTR-modeled, directional
What stayed fixed Question · scope · brand cut · date convention Expert steps: market_share_overview → market_share_breakdown → significance_check Significance gate before "gained" or "lost" Output: verdict · table · evidence · boundary · next move
What changed Window  Jun 21 to Jul 4 → Jul 5 to Jul 18 Share  18.6% → 19.4% (+0.8 pts, p = 0.02) Verdict  Holding → Gaining, concentrated in how-to Next move  watch → extend the how-to refresh

The evidence changed. The standard did not.

Named proof

housing.com

Grew search market share while the industry's clicks declined.

Algorithm shifts detected in days rather than weeks, the same Quattr intelligence and operating method that powers every Agent.

Read the customer story →

12.8% YoY growth in relative search market share, while industry clicks declined

Start with the decisions your team already repeats.

Three flagship jobs, each with a defined question, a bounded decision, and one thing it will refuse to claim.

"Are we gaining share against our tracked competitors, and is the change real?"

Decision: who leads, where the gap concentrates, and whether the movement passes the significance gate.

Boundary: share is CTR-modeled and directional, direction and gaps are the read, never raw share points.

Watch it rerun ↑See worked examples →

Share of tracked demand · settled from Run 02illustrative
northbeam.example23.5%
acme.example, you19.4% ▲
crestline.example13.8%
feldspar.example8.4%
Verdict: gaining, the gap to the leader narrowed to 4.1 pts, driven by how-to queries.
"Clicks dropped 12%, is it real, where is it, and why?"

Decision: significance first, then where the drop concentrates, then ranked plausible correlates.

Boundary: it says "correlated," not "caused," until the evidence earns more.

See worked examples →

Is it real?Real, −11.8%, p = 0.004. Not seasonal: the same weeks last year were flat.
Where?How-to guides −22.4%, product pages and comparisons flat (n.s.).
Why?① AI Overview inclusion rose on how-to queries the same weeks, stated as correlation. ② Two guide templates lost first-page positions. ③ Seasonality ruled out.
⚠ Observational, ranked correlates, not proven causes
"Is our new builder page ranking well enough to convert, and is it actually converting?"

Decision: search demand joined to your configured goals, with the funnel leak named.

Refusal: no configured goal, no revenue claim, it refuses, and says why.

See worked examples →

/builders portfolio · last 28 daysillustrative
1.24Mimpressions
38.2kclicks
31.5ksessions
1,120Purchase, your configured goal
$86.4krevenue, your number
The leak is on-page, not ranking. Ranks #4, earns sessions, converts 0.4% against a 2.1% portfolio median. Purchase is your configured GA4 goal.

What makes this an Agent?

An Agent owns a repeatable job. Skills define the expert steps inside that job. Quattr supplies the connected data and context the work requires, and Method sets the evidence standard every run must meet.

1Defined question & triggerThe decision it answers, on demand or on cadence.
2Reusable scope & cadenceMarket, segment, brand cut, date convention, fixed between runs.
3Canonical Skill compositionThe expert steps, in order, from the Skills library.
4Required sources & contextThe connected data it reads, and refusal, with the reason, when one is missing.
5Output contract & boundaryVerdict, table, evidence, limit, next move, every run, same shape.
Explore the Skills library →

Every Agent, one catalog.

14 Agent families · 28 worked examples

Each family states the job it owns, what it returns, and what it will not claim. Worked examples show the full run, question to evidence.

"How does my daily search market share and clicks compare to competitors for the last two weeks?" Returns: Verdict + segment breakdown, significance-gated. Won't claim: Share points, share is CTR-modeled and directional; direction and gaps are the read. skill: market-share-review · Search market share tracking · Search Console
Worked examples Connect your AI client
"Is our new builder page ranking well enough to convert, and is it actually converting?" Returns: Funnel readout bound to your configured goals. Won't claim: Revenue when no goal is configured, it refuses, with the reason. skill: search-to-revenue · Search Console · GA4 / Adobe
Worked examples Connect your AI client
"Which of my pages does ChatGPT cite most, and how is our citation rate trending?" Returns: Cited-page and prompt leaderboards with trend. Won't claim: Summing answer-engine citations with on-SERP AI Overviews, different surfaces, kept apart. skill: ai-citation-monitoring · AI visibility observation
Worked examples Connect your AI client
"Show my total organic clicks for the last 12 weeks vs the prior period, how much have we dropped, and is it real?" Returns: Significance verdict + concentration drilldown. Won't claim: Causes, ranked correlates are stated as correlation until evidence earns more. skill: anomaly-investigator · Search Console · statistical engines
Worked examples Connect your AI client
"Where does my closest rival out-rank or out-cover us, keyword by keyword?" Returns: Gap worklist by keyword. Won't claim: Mixing observed ranks with Search Console averages unlabelled. skill: keyword-gap-audit · Rank tracking
Worked examples Connect your AI client
"How does my daily AI Overview visibility compare to competitors this month?" Returns: Inclusion trend vs competitors. Won't claim: Conflating on-SERP AI Overviews with answer-engine citations. skill: serp-feature-watch · Rank tracking observation
Worked examples Connect your AI client
"By intent, where do we lead in AI answers and where do competitors dominate?" Returns: Intent heatmap of answer presence. Won't claim: Mixing answer-engine surfaces with Google's AI Overviews, the SERP Feature Agent owns those. skill: aeo-audit · AI visibility observation
Worked examples Connect your AI client
"Across ChatGPT, Perplexity, Gemini and AI Mode, how do my citations, mentions and sentiment look for the last 30 days?" Returns: Per-engine scorecard, both trackers. Won't claim: A bare "share", share of voice is weighted citations + mentions across the tracked set, per engine. skill: ai-visibility-pulse · AI visibility observation
Worked examples Connect your AI client
"We hold search share, do AI answers cite us to match, or is there a gap?" Returns: Gap read: search standing vs citations. Won't claim: A combined "visibility" number joining a results-page metric to an answer-engine metric. skill: ai-vs-traditional-gap · Search Console · AI visibility
Worked examples Connect your AI client
"Which competitors lead us on AI visibility over the last 12 weeks, including the smaller domains cited alongside us?" Returns: Single-competitor dossier. Won't claim: Ranking adjectives, credit is named features and observed positions. skill: competitor-deep-dive · Search market share · Rank tracking · AI visibility
Worked examples Connect your AI client
"Which queries get lots of impressions but almost no clicks, and what expected CTR are we missing?" Returns: Ranked opportunity worklist. Won't claim: A generic curve as yours, the fallback prior is labelled when used. skill: ctr-opportunity-audit · Search Console
Worked examples Connect your AI client
"Which competitors gained the most non-branded share week over week? Put it in a deck for Monday's exec review." Returns: Deck-shaped narrative with bounded claims. Won't claim: A slide whose source is missing, it is refused, with the reason. skill: monthly-exec-review · All connected sources
Worked examples Connect your AI client
"In paid search, which non-branded queries are we losing share on, excluding rival brand terms?" Returns: Paid × organic efficiency read. Won't claim: Spend extrapolated beyond the account's own data. skill: paid-efficiency-review · Google Ads · Search Console
Worked examples Connect your AI client
"For non-branded organic, what changed last week, and which categories and queries drove the gains?" Returns: Weekly movers narrative. Won't claim: "Gained" or "lost" before the delta passes the noise gate. skill: weekly-search-report · Search Console · Search market share tracking
Worked examples Connect your AI client

Need a job that isn't here? Request a team-specific Agent, access is assisted; we scope the question, sources, and output contract with you.

What your security and platform team will ask.

read-only analytical scope · OAuth 2.1 · inherited Quattr permissions · organization isolation · audit logging

Read-only analytical scope over the sources your Quattr account already governs, Search Console, search market share tracking, AI visibility, rank observation, web analytics, and Google Ads. Access inherits your Quattr permissions, organizations are isolated, and access is audit-logged.

Through the Quattr Agent Plugin, built on the Agent Plugin standard (Claude, ChatGPT, Codex, and verified clients), which packages the Quattr MCP connection and orchestrates its verbs with Skills and Method. Other supported clients connect using the capabilities documented for that client; direct MCP remains available without the packaged Agent experience.

No. Agents are read-only analytical work. Anything handed to other tools, a CMS draft, a Slack summary, an Asana proposal, stays a draft under that tool's own permissions. Nothing is published on your behalf.

Yes, access is assisted, not self-serve. Request a team-specific Agent and we scope the question, sources, and output contract with you before it runs.

Put repeatable search expertise to work for your team.

Request a walkthrough Already use Quattr? Connect your AI client

30-minute walkthrough · tailored to your site and priority search questions