Spec concept by Built for SaaS. Not affiliated with emberos.

ChatGPT is describing your brand right now.Is it right?

AI answers are now your first impression. emberos shows what they say, fixes what’s wrong, and proves it worked.

Prompt

What’s the best CRM for a 50‑person startup?

ChatGPT answer

SampleNorthlake and Pipewell are made-up brands.

From a wrong answer to a receipt.

  1. SeeScout
  2. PredictPilot
  3. FixFlow
  4. ProveEcho

Ask the five models your buyers use and read what each one says about you, line by line.

Before anything changes, Pilot forecasts what a fix should move and how far.

Flow writes the fix and ships it to the sources the models read: your site, Wikipedia, press and schema.

Echo re-scans the answer, compares it with the forecast and keeps the receipt.

Brand check/NorthlakeSample

Prompt What’s the best CRM for a 50‑person startup?

ModelWhat it saysStatus
ChatGPTNorthlake “has no Slack integration”Wrong
GeminiRecommends Pipewell, never names NorthlakeMissing
ClaudeNorthlake integrates with Slack and GmailCorrect
PerplexityCalls Northlake “a CRM for agencies”Wrong
GrokPipewell is “the default for small teams”Names a rival
Share-of-Prompt, NorthlakeToday Forecast after fix
Fix shipsToday2–4 weeks

emberos says Pilot predicts improvement deltas with 70%+ accuracy, validated across 100+ client implementations. Source: emberos FAQ. Chart is illustrative.

ChatGPT answer

Northlake is quick to set up, but it has no Slack integration.

  • Your siteIntegrations page rewritten
  • WikipediaCited correction proposed
  • PressSlack launch note placed
  • SchemaProduct markup updated
ChatGPT answer, re-scanned

Northlake is quick to set up, but it has no Slack integration it connects to Slack out of the box.

Echo receiptSample
Prompt
Best CRM for a 50-person startup
Model
ChatGPT
Fix packs
Site, Wikipedia, press, schema
Re-scan
Within 14 days
Before → after
Wrong → Correct

Your customers stopped searching. They started asking.

Buyers ask a model before they open your site, so the answer is the first thing they read about you. These are the numbers emberos cites.

89%

of B2B buyers use LLMs in their purchase decisions.

Source: Salesforce, State of the Connected Customer 2024
3,500%

increase in traffic to U.S. retail sites from generative AI sources.

Source: Adobe, Digital Trends 2024
25%

predicted decline in traditional search volume.

Source: Gartner

Same ads. Different winners.

During Super Bowl LX, emberos ranked every commercial by how well AI recalled it. The models disagreed with each other, and the AI winners were not the social winners.

AI Influence Index/Super Bowl LXFeb 6, 2:30pm ET to Feb 9, 4am ET
Silent winnersRank by social volume vs rank in AI recall
SocialAI recall#1#5#10#15#20#25#1 XfinitySocial #12–18#3 SquarespaceSocial #10–16#4 RampSocial #15–25
Ramp, by modelSame ad, three rankings
Claude#3
ChatGPT#5
Gemini#11
40–55%
of identical prompts produced meaningfully different framing across LLMs.

Not a single leading AI company cracked the top 20, despite heavy Super Bowl ad spend from Anthropic and OpenAI. Read the case study

Pick a wrong answer. Watch the fix pack get written.

Each fix pack finds the gap, forecasts the lift, makes the change and proves it. emberos scopes, writes and ships the work. Your team approves it.

Flow/Fix pack draftSample
  1. 1
    Find the gap Agent

    ChatGPT repeats an old forum thread. Your integrations page never names Slack in text, only in a logo strip.

  2. 2
    Forecast the lift Agent

    Pilot sets the expected range before anything ships.

  3. 3
    Make the change AgentYou approve
    • Your site/integrations: add a written Slack section with setup steps
    • SchemaAdd Slack to the product’s integration markup
    • PressPitch the Slack app launch note to two trade titles
  4. 4
    Prove it Agent

    Re-scan within 14 days and show the delta against the forecast, including when the forecast was wrong.

Sample output. Northlake, Pipewell and the sources named here are illustrative.Approve fix pack

When the answer is a shopping list, be on it.

Merchant turns better brand representation into action on every shoppable AI surface: the right product, the right specs and the price from your own feed.

Merchant/Shopping answerSample

Prompt Best running shoes for wide feet?

Before
  1. 1Pacer OneNeutral · RoadListed
  2. 2Kinlo TrailTrail · GripListed
  3. 3Avra GlideCushioned · RoadListed
  4. –Fieldwell Stride 3Not in the answer
After
  1. 1Pacer OneNeutral · RoadListed
  2. 2Fieldwell Stride 3Wide fit · RoadListed, price from your feed
  3. 3Avra GlideCushioned · RoadListed
  4. 4Kinlo TrailTrail · GripListed
  • Wide fit available
  • Price from your feed
  • In stock, every colour

Dashboards show you the problem. emberos fixes it.

Monitoring tells you the answer is wrong. emberos goes on to change it and keeps the receipts.

The jobWith a monitoring dashboardWith emberos
See what the models sayA dashboard of scoresScout maps every answer and flags early movement
Know what a fix will moveYour team guessesPilot forecasts the lift before anything changes
Write and ship the fixYour team, or an agency briefFlow ships fix packs to the sources models read
Check it workedWait and refresh the chartEcho re-scans within 14 days, against the forecast
Keep the recordScreenshots in a deckDocumented corrections and a tracked prediction record
How it’s pricedOne price per entity. No credit meters, no per-seat charges, no paying extra for a model.

Ask it the way you’d ask a model.

The questions buyers ask emberos most, answered from emberos’ own FAQ.

Ask emberos

Find out what AI says about you.

Run an AI Brand Check, or book a demo and walk through your brand’s answers with the team.