Every signal this audit reads is in place. Engines can read, match, and cite the business cleanly; the work now is keeping it that way as the site changes.
https://ibabuilders.com/ · Checked Nov 2, 2026
Checked 10 pages — 24 checks, each scored on the evidence found:
Readiness score from on-site signals — not a measurement of live ChatGPT / Perplexity / Google AI answers.
Most of the 9 lost points come from review / rating schema, on-page testimonials, and titles & meta descriptions:
The full ranked list is in the fix list below; every point traces to a check you can read in the audit.
24 JSON-LD blocks found across the checked pages; readable structured data parsed on 10 of the 10 pages.
Schema names the business as Generalcontractor — a specific business type, not a generic entity.
The business schema carries 7 of 8 key fields (name, phone, street address, URL, profile links (sameAs), geo coordinates, service area) — missing: opening hours.
Why it matters: Each field is a question an engine can then answer without guessing — the phone for "call", the street for "near me", hours for "open now". Missing fields are questions the engine answers with someone else’s data.
Next step: Add the missing fields to the business schema: opening hours.
Source: the most complete business entity found in the crawled JSON-LD · Confidence: Direct read
FAQPage schema found on the FAQ page — engines can lift the Q&A directly.
Service schema found — the services themselves are described as structured data.
No AggregateRating or Review schema found on any checked page.
Why it matters: Marked-up ratings give engines a citable proof number. A rating that exists only on Google’s own pages never reaches the answers assembled from the open web.
Next step: Once real reviews are published on the site, mark them up with Review / AggregateRating schema that matches them exactly.
Source: JSON-LD @type values across the pages read · Confidence: Direct read
robots.txt is live and readable (119 bytes).
No rule blocks the major AI crawlers — GPTBot: allowed · PerplexityBot: allowed · ClaudeBot: allowed.
Sitemap found at /sitemap_index.xml (an index) listing 74 pages.
llms.txt is live (13416 bytes of plain text written for AI tools).
llms.txt runs 13416 bytes and links to 40 key pages — a real map, not a stub.
Homepage declares a canonical URL; site serves clean HTTPS.
41 question-and-answer blocks found across the checked pages (41 question-style headings; a dedicated FAQ page is published).
21 service+city / city pages found (19 combined service+city, 2 dedicated city pages) — e.g. /los-angeles-adu-zoning-rules/, /contemporary-bathroom-remodel-los-angeles/, /pasadena-bathroom-remodel-freestanding-tub/; 49 service pages without a city in the address.
Homepage runs 2,011 words; the main services page runs 2,395 words. Thin pages give engines little to cite.
Homepage has 1 H1 heading and 8 descriptive H2 sections.
5 of 10 checked pages carry a clean page title and a meta description in a sane length.
Why it matters: The title is the one-line summary engines and search results quote; the meta description is the supporting sentence. Missing or bloated ones cost the click and weaken the citation.
Next step: Give every key page a unique title and a one-sentence meta description naming the service and the place.
Source: the <title> and meta description of each page read · Confidence: Direct read
66 short factual blocks (tight paragraphs and lists) found on the homepage/services page — the shapes engines lift answers from.
Phone +13104903414 is identical in the schema and the visible pages checked. Business name "IBA Builders" matches the name used on the site. Street address "13743 Ventura Blvd, Suite 360" matches in the schema and the visible pages.
tel: click-to-call links found — a phone tap on mobile reaches the business directly.
A contact page is published with a contact form and an email link and a phone link.
Review profile links found: Yelp, Houzz, BBB, Angi — proof an engine can follow and cite.
No testimonials found on the checked pages.
Why it matters: Visible testimonials are proof in the site’s own words that an engine can quote. A star number buried in code is not proof; a named customer sentence is.
Next step: Publish real customer testimonials (name, city, job type) on the homepage and service pages.
Source: testimonial-style content in the pages read · Confidence: Limited — detected by content patterns in the pages read, not by a registry — a page the crawl did not reach could hold more
A Google Maps / Business Profile link is published on the site.
Review / rating schema
What we found: No AggregateRating or Review schema found on any checked page.
What to do: Once real reviews are published on the site, mark them up with Review / AggregateRating schema that matches them exactly.
On-page testimonials
What we found: No testimonials found on the checked pages.
What to do: Publish real customer testimonials (name, city, job type) on the homepage and service pages.
Titles & meta descriptions
What we found: 5 of 10 checked pages carry a clean page title and a meta description in a sane length.
What to do: Give every key page a unique title and a one-sentence meta description naming the service and the place.
Schema field completeness
What we found: The business schema carries 7 of 8 key fields (name, phone, street address, URL, profile links (sameAs), geo coordinates, service area) — missing: opening hours.
What to do: Add the missing fields to the business schema: opening hours.
Email me this report (PDF) + the fix checklist. Everything above stays free and visible — the email is for delivery, the checklist, and a nudge to re-check after you fix things.
This list is the work. AltaPoint can take it from there — it starts with a free Snapshot, then the $999 Full Audit turns the fix list into a measured report with a ranked fix order.
Get your free SnapshotNot sure what else is leaking? The AI visibility score is one leak of several. Get your free Snapshot — a few minutes, and it covers the operational side too.
Developers & agencies: this checker is coming as an API. Join the API waitlist — one email when it opens, nothing before.
Fixed something? Re-check in 24h — results are cached for a day so the score reflects real changes, not refresh luck.
Rubric: AEO Score v2 — 24 checks in 4 sections, 100 points · Run date: Nov 2, 2026 · Read time: 13s. The audit fetches the pages and files listed above once, scores only what they contain, and shows the evidence next to every check.
This is a readiness score computed from on-site signals only — the schema, files, content, and links published on the pages listed above. It is not a measurement of live ChatGPT, Perplexity, or Google AI answers, and it does not claim the business does or does not appear in any engine’s responses. It measures whether the site publishes what those engines rely on when they choose what to cite.
AEO (Answer Engine Optimization) is how ready your website is for AI answer engines — ChatGPT, Perplexity, and Google AI Overviews. When someone asks an AI tool for a contractor or local service, the engine reads structured signals on business websites and cites the ones it can understand. AEO is making sure your site is one of them.
No. This is a readiness score from on-site signals — not a measurement of live ChatGPT / Perplexity / Google AI answers. It measures whether your site publishes the schema, Q&A, contact details, service pages, reviews, and machine files that answer engines rely on when they choose what to cite.
Up to 10: your homepage plus the key pages found from your sitemap and internal links — services, contact, FAQ, about, and service/city pages. The report states exactly how many pages were checked and lists them, and every one of the 24 checks shows the evidence it was scored on.
Most low scores come down to a few fixable gaps: no LocalBusiness schema, no FAQ page engines can lift answers from, a missing street address or phone in machine-readable form, no dedicated service and city pages, or no sitemap. Your report lists every gap found, in order of points recoverable.
llms.txt is a plain-text file at the root of your site (yoursite.com/llms.txt) written for AI tools: what the business does, where it works, and links to the key pages. Paired with a sitemap.xml, it hands crawlers and answer engines a map instead of making them guess.
Answer engines need some machine-readable location signal to match you to a place. A published street address in your schema earns full credit. If you work from home or cover an area, publish an explicit service area in your schema instead — the check explains which signal it found, and the fix list says exactly what to publish.
Re-check after you fix a gap, and then every few months. Results are cached for 24 hours, so a re-check inside a day shows the same report with its timestamp; after 24 hours the check fetches your site fresh.
You see the full report instantly — no signup. If you want it in your inbox, the email gate sends the report and the fix checklist. If you want the gaps fixed for you, that is the AltaPoint path: a free Snapshot, and the $999 Full Audit that turns the fix list into a measured report with a ranked fix order.
More free resources: see every free tool and guide we publish — including the Trades API Directory and the Long Beach Home Cost guides.
Curious what real checks look like? The AEO Scoreboard publishes actual scores from real runs of this checker — including our own site’s 86 and the biggest gap found in each report.
