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Merged
alok-vibe-code merged 1 commit into from
Sep 26, 2026
Merged

Release context-aware placement copy v1.1.4 #10

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8 changes: 8 additions & 0 deletions CHANGELOG.md
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Original file line number Diff line number Diff line change
@@ -1,5 +1,13 @@
# Changelog

## 1.1.4 - 2026-09-26

- Replace the repeated learning-placement clause with sentence-function-aware copy.
- Use distinct deterministic wording for definitions, requirements, workflows, benefits, skills, and general context.
- Introduce target audiences only when the source paragraph addresses the same audience.
- Avoid unsafe rewrites of long, definitional, or evaluation-focused sentences.
- Diversify ranked opportunities while preserving deterministic output and API compatibility.

## 1.1.3 - 2026-09-26

- Removed navigation, sidebar, footer, and repeated promotional copy from page evidence.
Expand Down
2 changes: 1 addition & 1 deletion backlink_intelligence/__init__.py
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@@ -1,3 +1,3 @@
"""Backlink Intelligence package."""

__version__ = "1.1.3"
__version__ = "1.1.4"
244 changes: 187 additions & 57 deletions backlink_intelligence/placement.py
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Expand Up @@ -316,11 +316,6 @@ def _target_audience(target: PageEvidence) -> str | None:
return None


def _audience_subject(audience: str) -> str:
"""Uppercase a sentence-initial audience without damaging acronyms such as SEO."""
return audience[:1].upper() + audience[1:]


def _context_kind(text: str) -> str:
lower = text.casefold()
groups = (
Expand All @@ -336,6 +331,78 @@ def _context_kind(text: str) -> str:
return "general"


def _sentence_function(text: str) -> str:
"""Classify what the publisher's sentence is doing, not merely its topic.

This deliberately runs before broad topical markers such as ``agent``. The old
composer treated nearly every AI-agent sentence as an application and attached
the same ``a practical application ...`` clause, even to definitions and
evaluation criteria.
"""
lower = " ".join(text.casefold().split())
groups = (
(
"requirement",
(
" should ",
" must ",
" requires ",
" require ",
" needs ",
" need ",
"choosing ",
"evaluating ",
"consider ",
"criteria",
"right ",
),
),
(
"definition",
(
" is an ",
" is a ",
" are an ",
" are a ",
"refers to",
"means ",
"defined as",
),
),
(
"workflow",
(
"workflow",
"process",
"step",
"retrieve",
"monitor",
"coordinate",
"route",
"interpret",
),
),
(
"benefit",
("benefit", "outcome", "improve", "reduce", "increase", "enable", "support"),
),
(
"application",
("application", "use case", "in practice", "perform", "automate", "apply"),
),
)
padded = f" {lower} "
for function, markers in groups:
if any(marker in padded for marker in markers):
return function
return "general"


def _audience_fits_source(audience: str | None, paragraph: str) -> bool:
"""Do not introduce an audience label that the publisher did not address."""
return bool(audience and _contains_term(paragraph, audience))


def _sentence_spans(paragraph: str) -> list[tuple[int, int, str]]:
"""Split prose conservatively while retaining exact offsets and punctuation."""
boundaries = list(re.finditer(r"(?<=[.!?])\s+(?=[A-Z0-9\"'\u201c\u2018])", paragraph))
Expand All @@ -356,6 +423,7 @@ def _rewrite_candidate(
anchor: str,
target_url: str,
target: PageEvidence,
variant: int = 0,
) -> tuple[str, str, list[TextSegment], str, list[str]] | None:
"""Integrate an anchor into one supported sentence without replacing source words."""
intent = _target_intent(target)
Expand All @@ -366,9 +434,16 @@ def _rewrite_candidate(
for start, end, sentence in _sentence_spans(paragraph):
overlap = _meaningful_overlap(sentence, target, anchor)
kind = _context_kind(sentence)
if overlap < 2 or kind not in {"application", "skills", "implementation"}:
function = _sentence_function(sentence)
if (
overlap < 2
or start != 0
or len(sentence.split()) > 18
or kind not in {"application", "skills", "implementation"}
or function in {"definition", "requirement"}
):
continue
ranked.append((overlap, similarity(sentence, _target_profile(target)), start, end, kind))
ranked.append((overlap, similarity(sentence, _target_profile(target)), start, end, function))
if not ranked:
return None

Expand All @@ -385,7 +460,7 @@ def _rewrite_candidate(
article_prefix = linked_phrase[:anchor_offset]
audience = _target_audience(target)
if intent == "learning" and kind == "application":
descriptor, active, passive = "a practical application", "examine more deeply", "examined more deeply"
descriptor, active, passive = "an application", "examine in greater depth", "examined in greater depth"
elif intent == "learning" and kind == "skills":
descriptor, active, passive = "a topic", "study more deeply", "studied more deeply"
elif intent in {"service", "implementation"}:
Expand All @@ -394,10 +469,18 @@ def _rewrite_candidate(
descriptor, active, passive = "a consideration", "examine further", "examined further"
else:
descriptor, active, passive = "a topic", "explore further", "explored further"
if audience:
clause = f", {descriptor} {audience} can {active} through "
# Audience labels are not grammatical decorations. They are used only when the
# publisher already addresses the same audience; otherwise neutral copy is safer.
use_audience = _audience_fits_source(audience, paragraph)
neutral_clauses = (
f", {descriptor} {passive} through ",
f", an example explored in greater depth through ",
f", a related concept covered in ",
)
if use_audience:
clause = f", {descriptor} that {audience} can {active} through "
else:
clause = f", {descriptor} that can be {passive} through "
clause = neutral_clauses[variant % len(neutral_clauses)]

prefix = paragraph[:start] + sentence_body + clause + article_prefix
suffix = terminal + sentence[len(stripped) :] + paragraph[end:]
Expand All @@ -411,7 +494,7 @@ def _rewrite_candidate(
]
notes.append(
"target_audience_used_for_contextual_sentence"
if audience
if use_audience
else "neutral_audience_wording_used"
)
if placed_anchor != anchor:
Expand All @@ -423,12 +506,14 @@ def _contextual_fallback_sentence(
paragraph: str,
anchor: str,
target: PageEvidence,
variant: int = 0,
) -> tuple[str, str, str, list[str]]:
"""Create concise deterministic fallback copy without dumping the target title."""
placed_anchor = _fallback_anchor_case(anchor)
intent = _target_intent(target)
audience = _target_audience(target)
context = _context_kind(paragraph)
function = _sentence_function(paragraph)
paragraph_lower = paragraph.lower()

cost_intent = intent == "cost"
Expand Down Expand Up @@ -459,56 +544,100 @@ def _contextual_fallback_sentence(
anchor_phrase = _anchor_with_article(placed_anchor)
anchor_offset = anchor_phrase.rfind(placed_anchor)
article_prefix = anchor_phrase[:anchor_offset]
if intent == "learning" and context == "application":
notes.append("destination_intent_used_for_contextual_sentence")
if audience:
notes.append("target_audience_used_for_contextual_sentence")
return (
f"{_audience_subject(audience)} can examine these applications more deeply through {article_prefix}",
".",
placed_anchor,
notes,
)
notes.append("neutral_audience_wording_used")
return (
f"These applications can be examined more deeply through {article_prefix}",
".",
placed_anchor,
notes,
)

if intent == "learning" and context == "skills":
notes.append("destination_intent_used_for_contextual_sentence")
if audience:
notes.append("target_audience_used_for_contextual_sentence")
return (
f"{_audience_subject(audience)} can develop these skills further through {article_prefix}",
".",
placed_anchor,
notes,
)
notes.append("neutral_audience_wording_used")
return (
f"These skills can be developed further through {article_prefix}",
".",
placed_anchor,
notes,
)
sentence_article_prefix = article_prefix[:1].upper() + article_prefix[1:]
use_audience = _audience_fits_source(audience, paragraph)

if intent == "learning":
notes.append("destination_intent_used_for_contextual_sentence")
if audience:
if use_audience:
notes.append("target_audience_used_for_contextual_sentence")
return (
f"{_audience_subject(audience)} can explore this subject further through {article_prefix}",
".",
f"For {audience}, {article_prefix}",
" provides a structured way to explore this subject in greater depth.",
placed_anchor,
notes,
)

notes.append("neutral_audience_wording_used")
if function == "definition":
options = (
(
f"{sentence_article_prefix}",
" can provide additional context for how this technology works in practice.",
),
(
"The role of this technology in agent systems can be explored further through " + article_prefix,
".",
),
(
f"{sentence_article_prefix}",
" can help connect this definition with practical agent workflows.",
),
)
elif function == "requirement":
options = (
(
f"{sentence_article_prefix}",
" can provide additional context for evaluating these requirements in practice.",
),
(
"These criteria can also be examined through " + article_prefix,
".",
),
(
f"{sentence_article_prefix}",
" can help explain how these considerations affect real-world agent systems.",
),
)
elif function == "workflow" or context == "implementation":
options = (
(
f"{sentence_article_prefix}",
" can help explain how these workflows are designed and applied.",
),
(
"These workflows can be studied in greater depth through " + article_prefix,
".",
),
(
f"{sentence_article_prefix}",
" offers a structured way to explore the methods behind these workflows.",
),
)
elif function == "benefit":
options = (
(
"The methods behind these outcomes can be studied further through " + article_prefix,
".",
),
(
f"{sentence_article_prefix}",
" can provide additional context for understanding these outcomes.",
),
(
"The concepts supporting these benefits can be explored through " + article_prefix,
".",
),
)
elif context == "skills":
options = (
("These skills can be developed further through " + article_prefix, "."),
(f"{sentence_article_prefix}", " can provide a structured path for developing these skills."),
("A deeper treatment of these capabilities is available through " + article_prefix, "."),
)
else:
options = (
(
f"{sentence_article_prefix}",
" can provide a structured way to explore how these concepts work in practice.",
),
("These concepts can be examined in greater depth through " + article_prefix, "."),
(f"{sentence_article_prefix}", " offers additional context for applying these ideas."),
)
sentence_prefix, sentence_suffix = options[variant % len(options)]
return (
f"This subject can be explored further through {article_prefix}",
".",
sentence_prefix,
sentence_suffix,
placed_anchor,
notes,
)
Expand Down Expand Up @@ -564,6 +693,7 @@ def _compose_after(
anchor: str,
target_url: str,
target: PageEvidence,
variant: int = 0,
) -> tuple[str, str, str, list[TextSegment], str, list[str]]:
"""Compose the draft while preserving source grammar/capitalization when possible."""
exact = _find_complete_phrase(paragraph, anchor)
Expand All @@ -582,8 +712,8 @@ def _compose_after(

# If the exact requested form is not present, prefer a complete natural word-form
# already in the publisher copy instead of creating artifacts such as [AI Agent]s.
for variant in _simple_anchor_variants(anchor):
match = _find_complete_phrase(paragraph, variant)
for anchor_variant in _simple_anchor_variants(anchor):
match = _find_complete_phrase(paragraph, anchor_variant)
if match is not None:
placed_anchor = match.group(0)
linked = f"[{placed_anchor}]({target_url})"
Expand All @@ -601,13 +731,13 @@ def _compose_after(
["anchor_adapted_to_source_grammar", "requested_anchor_not_used_verbatim"],
)

rewrite = _rewrite_candidate(paragraph, anchor, target_url, target)
rewrite = _rewrite_candidate(paragraph, anchor, target_url, target, variant)
if rewrite is not None:
after, after_text, segments, placed_anchor, notes = rewrite
return "contextual_sentence", after, after_text, segments, placed_anchor, notes

sentence_prefix, sentence_suffix, placed_anchor, notes = _contextual_fallback_sentence(
paragraph, anchor, target
paragraph, anchor, target, variant
)
prefix = paragraph.rstrip() + " " + sentence_prefix
after_text = prefix + placed_anchor + sentence_suffix
Expand Down Expand Up @@ -740,7 +870,7 @@ def rank_placements(
suggestions: list[PlacementSuggestion] = []
for rank, (score, destination_score, index, paragraph) in enumerate(candidates[: max(top_n, 1)], start=1):
strategy, after, after_text, after_segments, placed_anchor, compose_notes = _compose_after(
paragraph, anchor, target_url, target
paragraph, anchor, target_url, target, rank - 1
)
original_words = max(len(paragraph.split()), 1)
after_words = len(after_text.split())
Expand Down
2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "backlink-intelligence"
version = "1.1.3"
version = "1.1.4"
description = "Open-source backlink intelligence based on evidence, context, and editorial fit."
readme = "README.md"
requires-python = ">=3.11"
Expand Down
2 changes: 1 addition & 1 deletion tests/test_cli.py
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Expand Up @@ -8,7 +8,7 @@

class CLITests(unittest.TestCase):
def test_version_is_stable(self):
self.assertEqual(__version__, "1.1.3")
self.assertEqual(__version__, "1.1.4")

def test_status_command(self):
output = io.StringIO()
Expand Down
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